From 9758361caa76eb7c4417337080e045443324b550 Mon Sep 17 00:00:00 2001
From: plwapet <lavoisierwapet@gmail.com>
Date: Tue, 6 Sep 2022 14:53:19 +0200
Subject: [PATCH] before meeting
---
.../input_configurations_file.csv | 46 -
...nput_configurations_file__finally_used.csv | 22 -
.../.~lock.summary___06Sep22_09_42_02.csv# | 1 +
.../summary___06Sep22_09_42_02.csv | 46 +
.../utils_functions.cpython-38.pyc | Bin 39523 -> 45836 bytes
.../best_R2_exploration_summary.csv | 7 +
kernel_ridge_linear_model/kernel_ridge.py | 467 +-
...ridge_prediction_on_google_pixel_4a_5g.png | Bin 78350 -> 86669 bytes
.../log_file_for_samsung.txt | 53011 ++++++----------
.../loo_errors_according_to_lamda.csv | 121 +-
...tion_has_negative_impact_on_efficacity.txt | 141 +
....linear_coeff_vs_kernel_ridge_margins.csv# | 1 +
.../d_X_5_linear_coefficients.csv | 39 +
.../linear_coeff_vs_kernel_ridge_margins.csv | 53 +
...ribution_of_big_socket_frequency_level.png | Bin 0 -> 19544 bytes
..._marginal_distribution_of_core_0_state.png | Bin 0 -> 13307 bytes
..._marginal_distribution_of_core_7_state.png | Bin 0 -> 13468 bytes
...ution_of_little_socket_frequency_level.png | Bin 0 -> 11950 bytes
...X_2__X_3__X_4__X_5__X_6__X_7__X_8__X_9.png | Bin 0 -> 235151 bytes
.../d_X_5_linear_coefficients.csv | 39 +
...re_5_state__Core_6_state__Core_7_state.png | Bin 0 -> 235151 bytes
.../linear_coeff_vs_kernel_ridge_margins.csv | 53 +
...ribution_of_big_socket_frequency_level.png | Bin 0 -> 10840 bytes
..._marginal_distribution_of_core_0_state.png | Bin 0 -> 11088 bytes
..._marginal_distribution_of_core_7_state.png | Bin 0 -> 13554 bytes
...ution_of_little_socket_frequency_level.png | Bin 0 -> 13224 bytes
...ies_X_y_after_removing_aberrant_points.csv | 58 +-
...summaries_X_y_after_removing_duplicate.csv | 60 +-
...es_X_y_before_removing_aberrant_points.csv | 82 +-
...ummaries_X_y_before_removing_duplicate.csv | 58 +-
kernel_ridge_linear_model/utils_functions.py | 179 +-
31 files changed, 20389 insertions(+), 34095 deletions(-)
delete mode 100755 experiment_automatization/input_configurations_file.csv
delete mode 100755 experiment_automatization/input_configurations_file__finally_used.csv
create mode 100755 experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
create mode 100755 experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_0.89_base_Y/cases_where_big_cores_variation_has_negative_impact_on_efficacity.txt
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/d_X_5_linear_coefficients.csv
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_core_0_state.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_core_7_state.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_little_socket_frequency_level.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/X_5_over_X_0__X_1__X_2__X_3__X_4__X_5__X_6__X_7__X_8__X_9.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/d_X_5_linear_coefficients.csv
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/el_of_Big_Socket_over_of_Little_Socket__Core_0_state__Core_1_state__Core_2_state__Core_3_state__el_of_Big_Socket__Core_4_state__Core_5_state__Core_6_state__Core_7_state.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_core_0_state.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_core_7_state.png
create mode 100755 kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_little_socket_frequency_level.png
diff --git a/experiment_automatization/input_configurations_file.csv b/experiment_automatization/input_configurations_file.csv
deleted file mode 100755
index 2572702..0000000
--- a/experiment_automatization/input_configurations_file.csv
+++ /dev/null
@@ -1,46 +0,0 @@
-configurations,samsung galaxy format
-2000-2000,[2- 0- 0- 0- 2- 0- 0- 0]
-3000-1100,[3- 0- 0- 0- 1- 1- 0- 0]
-3000-2200,[3- 0- 0- 0- 2- 2- 0- 0]
-1000-1100,[1- 0- 0- 0- 1- 1- 0- 0]
-2000-2200,[2- 0- 0- 0- 2- 2- 0- 0]
-3000-3300,[3- 0- 0- 0- 3- 3- 0- 0]
-0000-1000,[0- 0- 0- 0- 1- 0- 0- 0]
-0000-2000,[0- 0- 0- 0- 2- 0- 0- 0]
-0000-1100,[0- 0- 0- 0- 1- 1- 0- 0]
-0000-2200,[0- 0- 0- 0- 2- 2- 0- 0]
-0022-2222,[0- 0- 2- 2- 2- 2- 2- 2]
-1001-2220,[1- 0- 0- 1- 2- 2- 2- 0]
-2020-3303,[2- 0- 2- 0- 3- 3- 0- 3]
-0200-1100,[0- 2- 0- 0- 1- 1- 0- 0]
-2002-0100,[2- 0- 0- 2- 0- 1- 0- 0]
-0000-0001,[0- 0- 0- 0- 0- 0- 0- 1]
-1110-0222,[1- 1- 1- 0- 0- 2- 2- 2]
-0101-0200,[0- 1- 0- 1- 0- 2- 0- 0]
-0033-0033,[0- 0- 3- 3- 0- 0- 3- 3]
-3300-3033,[3- 3- 0- 0- 3- 0- 3- 3]
-3330-2220,[3- 3- 3- 0- 2- 2- 2- 0]
-0000-3003,[0- 0- 0- 0- 3- 0- 0- 3]
-2002-2000,[2- 0- 0- 2- 2- 0- 0- 0]
-0001-0200,[0- 0- 0- 1- 0- 2- 0- 0]
-0220-0020,[0- 2- 2- 0- 0- 0- 2- 0]
-0220-0333,[0- 2- 2- 0- 0- 3- 3- 3]
-0303-1000,[0- 3- 0- 3- 1- 0- 0- 0]
-0111-0033,[0- 1- 1- 1- 0- 0- 3- 3]
-2022-2022,[2- 0- 2- 2- 2- 0- 2- 2]
-3333-2222,[3- 3- 3- 3- 2- 2- 2- 2]
-0110-0020,[0- 1- 1- 0- 0- 0- 2- 0]
-0030-2000,[0- 0- 3- 0- 2- 0- 0- 0]
-2002-1001,[2- 0- 0- 2- 1- 0- 0- 1]
-0300-3303,[0- 3- 0- 0- 3- 3- 0- 3]
-3303-0003,[3- 3- 0- 3- 0- 0- 0- 3]
-0101-2020,[0- 1- 0- 1- 2- 0- 2- 0]
-0202-1001,[0- 2- 0- 2- 1- 0- 0- 1]
-3003-1101,[3- 0- 0- 3- 1- 1- 0- 1]
-0220-1001,[0- 2- 2- 0- 1- 0- 0- 1]
-3333-3333,[3- 3- 3- 3- 3- 3- 3- 3]
-3003-0002,[3- 0- 0- 3- 0- 0- 0- 2]
-0001-0033,[0- 0- 0- 1- 0- 0- 3- 3]
-1111-0101,[1- 1- 1- 1- 0- 1- 0- 1]
-2220-0000,[2- 2- 2- 0- 0- 0- 0- 0]
-2020-0022,[2- 0- 2- 0- 0- 0- 2- 2]
diff --git a/experiment_automatization/input_configurations_file__finally_used.csv b/experiment_automatization/input_configurations_file__finally_used.csv
deleted file mode 100755
index 1fe4c34..0000000
--- a/experiment_automatization/input_configurations_file__finally_used.csv
+++ /dev/null
@@ -1,22 +0,0 @@
-configurations,generic format,exact frequency,samsung galaxy format,exact frequencies
-1100-0000,[1- 1- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[598000- 598000- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[1- 1- 0- 0- 0- 0- 0- 0], [598000- 598000- 0- 0- 0- 0- 0- 0]
-2200-0000,[2- 2- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[1248000- 1248000- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[2- 2- 0- 0- 0- 0- 0- 0], [1248000- 1248000- 0- 0- 0- 0- 0- 0]
-1110-0000,[1- 1- 1- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[598000- 598000- 598000- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[1- 1- 1- 0- 0- 0- 0- 0], [598000- 598000- 598000- 0- 0- 0- 0- 0]
-2220-0000,[2- 2- 2- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[1248000- 1248000- 1248000- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0],[2- 2- 2- 0- 0- 0- 0- 0], [1248000- 1248000- 1248000- 0- 0- 0- 0- 0]
-3300-1000,[3- 3- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[1690000- 1690000- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[3- 3- 0- 0- 1- 0- 0- 0], [1690000- 1690000- 0- 0- 741000- 0- 0- 0]
-3300-2000,[3- 3- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[1690000- 1690000- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[3- 3- 0- 0- 2- 0- 0- 0], [1690000- 1690000- 0- 0- 1469000- 0- 0- 0]
-1100-1000,[1- 1- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[598000- 598000- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[1- 1- 0- 0- 1- 0- 0- 0], [598000- 598000- 0- 0- 741000- 0- 0- 0]
-2200-2000,[2- 2- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[1248000- 1248000- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[2- 2- 0- 0- 2- 0- 0- 0], [1248000- 1248000- 0- 0- 1469000- 0- 0- 0]
-3000-1000,[3- 0- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[3- 0- 0- 0- 1- 0- 0- 0], [1690000- 0- 0- 0- 741000- 0- 0- 0]
-3000-2000,[3- 0- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[3- 0- 0- 0- 2- 0- 0- 0], [1690000- 0- 0- 0- 1469000- 0- 0- 0]
-1000-1000,[1- 0- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[598000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[1- 0- 0- 0- 1- 0- 0- 0], [598000- 0- 0- 0- 741000- 0- 0- 0]
-2000-2000,[2- 0- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[1248000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[2- 0- 0- 0- 2- 0- 0- 0], [1248000- 0- 0- 0- 1469000- 0- 0- 0]
-3000-1100,[3- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[3- 0- 0- 0- 1- 1- 0- 0], [1690000- 0- 0- 0- 741000- 741000- 0- 0]
-3000-2200,[3- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[3- 0- 0- 0- 2- 2- 0- 0], [1690000- 0- 0- 0- 1469000- 1469000- 0- 0]
-1000-1100,[1- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[598000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[1- 0- 0- 0- 1- 1- 0- 0], [598000- 0- 0- 0- 741000- 741000- 0- 0]
-2000-2200,[2- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[1248000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[2- 0- 0- 0- 2- 2- 0- 0], [1248000- 0- 0- 0- 1469000- 1469000- 0- 0]
-3000-3300,[3- 0- 0- 0- 0- 0- 0- 0- 0- 3- 3- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 2314000- 2314000- 0- 0],[3- 0- 0- 0- 3- 3- 0- 0], [1690000- 0- 0- 0- 2314000- 2314000- 0- 0]
-0000-1000,[0- 0- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[0- 0- 0- 0- 1- 0- 0- 0], [0- 0- 0- 0- 741000- 0- 0- 0]
-0000-2000,[0- 0- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[0- 0- 0- 0- 2- 0- 0- 0], [0- 0- 0- 0- 1469000- 0- 0- 0]
-0000-1100,[0- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[0- 0- 0- 0- 1- 1- 0- 0], [0- 0- 0- 0- 741000- 741000- 0- 0]
-0000-2200,[0- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[0- 0- 0- 0- 2- 2- 0- 0], [0- 0- 0- 0- 1469000- 1469000- 0- 0]
diff --git a/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv# b/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
new file mode 100755
index 0000000..e3e2061
--- /dev/null
+++ b/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
@@ -0,0 +1 @@
+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,06.09.2022 14:43,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
diff --git a/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv b/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
new file mode 100755
index 0000000..7aa1320
--- /dev/null
+++ b/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
@@ -0,0 +1,46 @@
+configurations,generic format,exact frequency,samsung galaxy format,exact frequencies,phone energy,phone power,workload,energy by workload,starting cc_info,ending cc_info
+2000-2000,[2- 0- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[1248000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[2- 0- 0- 0- 2- 0- 0- 0],[1248000- 0- 0- 0- 1469000- 0- 0- 0],36.241340818491324,1093.294435058518,1.50528e+11,2.40761e-10,5616500,5616500
+3000-1100,[3- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[3- 0- 0- 0- 1- 1- 0- 0],[1690000- 0- 0- 0- 741000- 741000- 0- 0],43.3608751201712,1276.8164639037316,2.79393e+11,1.55197e-10,5615000,5615000
+3000-2200,[3- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[3- 0- 0- 0- 2- 2- 0- 0],[1690000- 0- 0- 0- 1469000- 1469000- 0- 0],42.79271109577192,1271.3818653290398,2.78971e+11,1.53395e-10,5613500,5613500
+1000-1100,[1- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[598000- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[1- 0- 0- 0- 1- 1- 0- 0],[598000- 0- 0- 0- 741000- 741000- 0- 0],42.80059101405426,1269.5453373842686,2.76003e+11,1.55073e-10,5612000,5612000
+2000-2200,[2- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[1248000- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[2- 0- 0- 0- 2- 2- 0- 0],[1248000- 0- 0- 0- 1469000- 1469000- 0- 0],42.61363347008094,1266.6690782721996,2.78672e+11,1.52917e-10,5610500,5610500
+3000-3300,[3- 0- 0- 0- 0- 0- 0- 0- 0- 3- 3- 0- 0],[1690000- 0- 0- 0- 0- 0- 0- 0- 0- 2314000- 2314000- 0- 0],[3- 0- 0- 0- 3- 3- 0- 0],[1690000- 0- 0- 0- 2314000- 2314000- 0- 0],42.474892742303716,1262.3509051047158,2.74951e+11,1.54482e-10,5609500,5609500
+0000-1000,[0- 0- 0- 0- 0- 0- 0- 0- 0- 1- 0- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 0- 0- 0],[0- 0- 0- 0- 1- 0- 0- 0],[0- 0- 0- 0- 741000- 0- 0- 0],35.44774676664167,1059.0791958246482,1.11489e+11,3.17948e-10,5608500,5608500
+0000-2000,[0- 0- 0- 0- 0- 0- 0- 0- 0- 2- 0- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 0- 0- 0],[0- 0- 0- 0- 2- 0- 0- 0],[0- 0- 0- 0- 1469000- 0- 0- 0],35.40657570372512,1062.9050649971523,1.17941e+11,3.00206e-10,5607500,5607500
+0000-1100,[0- 0- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[0- 0- 0- 0- 1- 1- 0- 0],[0- 0- 0- 0- 741000- 741000- 0- 0],90.46258013235764,2571.130574984406,7.9638e+11,1.13592e-10,5590000,5530500
+0000-2200,[0- 0- 0- 0- 0- 0- 0- 0- 0- 2- 2- 0- 0],[0- 0- 0- 0- 0- 0- 0- 0- 0- 1469000- 1469000- 0- 0],[0- 0- 0- 0- 2- 2- 0- 0],[0- 0- 0- 0- 1469000- 1469000- 0- 0],42.51731520413714,1266.0320229601746,2.43375e+11,1.74699e-10,5594500,5594500
+0022-2222,[0- 0- 2- 2- 0- 0- 0- 0- 0- 2- 2- 2- 2],[0- 0- 1248000- 1248000- 0- 0- 0- 0- 0- 1469000- 1469000- 1469000- 1469000],[0- 0- 2- 2- 2- 2- 2- 2],[0- 0- 1248000- 1248000- 1469000- 1469000- 1469000- 1469000],90.088043640181,2562.564209617514,1.21823e+12,7.39499e-11,5588500,5569500
+1001-2220,[1- 0- 0- 1- 0- 0- 0- 0- 0- 2- 2- 2- 0],[598000- 0- 0- 598000- 0- 0- 0- 0- 0- 1469000- 1469000- 1469000- 0],[1- 0- 0- 1- 2- 2- 2- 0],[598000- 0- 0- 598000- 1469000- 1469000- 1469000- 0],50.735447078258076,1501.013010791581,4.65069e+11,1.09092e-10,5573500,5573500
+2020-3303,[2- 0- 2- 0- 0- 0- 0- 0- 0- 3- 3- 0- 3],[1248000- 0- 1248000- 0- 0- 0- 0- 0- 0- 2314000- 2314000- 0- 2314000],[2- 0- 2- 0- 3- 3- 0- 3],[1248000- 0- 1248000- 0- 2314000- 2314000- 0- 2314000],90.5561378672525,2573.4985902482695,1.16422e+12,7.77827e-11,5548500,5487500
+0200-1100,[0- 2- 0- 0- 0- 0- 0- 0- 0- 1- 1- 0- 0],[0- 1248000- 0- 0- 0- 0- 0- 0- 0- 741000- 741000- 0- 0],[0- 2- 0- 0- 1- 1- 0- 0],[0- 1248000- 0- 0- 741000- 741000- 0- 0],42.722378810206706,1269.6628417868571,2.79405e+11,1.52905e-10,5550000,5550000
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diff --git a/kernel_ridge_linear_model/__pycache__/utils_functions.cpython-38.pyc b/kernel_ridge_linear_model/__pycache__/utils_functions.cpython-38.pyc
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diff --git a/kernel_ridge_linear_model/best_R2_exploration_summary.csv b/kernel_ridge_linear_model/best_R2_exploration_summary.csv
index 048ed84..08830dd 100755
--- a/kernel_ridge_linear_model/best_R2_exploration_summary.csv
+++ b/kernel_ridge_linear_model/best_R2_exploration_summary.csv
@@ -219,3 +219,10 @@ google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,Fals
google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,33,False,0.8999417647627684,10,10,base_Y,
google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,33,False,0.8999417647627684,10,10,base_Y,
samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.013818650598825628,True,dichotomic,321,1.3113569409874378e+18,1000000000.0,1e-09,1000,0.1,33,False,0.39797093085645974,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425,True,dichotomic,261,1.5116273928917486e+18,1000000000.0,1e-09,1000,0.1,33,False,0.7088418470972842,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,100.10000000099859,True,sequential,1000,2.297177661826967e+19,1000000000.0,1e-09,1000,0.1,100,False,-2.220092887403283,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.050000000950000005,True,explore_all_values,5,1.5116267365279708e+18,1000000000.0,1e-09,1000,0.1,100,False,0.7087583090653924,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.7088418470972842,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.7088418470972842,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.9292726781781174,10,10,base_Y,
+samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.9292726781781174,10,10,base_Y,
diff --git a/kernel_ridge_linear_model/kernel_ridge.py b/kernel_ridge_linear_model/kernel_ridge.py
index 25f61ac..6447eb3 100755
--- a/kernel_ridge_linear_model/kernel_ridge.py
+++ b/kernel_ridge_linear_model/kernel_ridge.py
@@ -19,6 +19,8 @@ from statsmodels.sandbox.regression.kernridgeregress_class import GaussProcess
# WARNING !!!!! THE VALUE OF ENERGY EFFICIENCY USED BY THE MODEL IS OBTAINED WITH FORMULA WORKLOAD/ENERGY,
# IT IS THE INVERSE OF THE ONE COMPUTED BY THE AUTOMATIZATION SCRIPT
########### General option on input datas
+phone_name = "samsung_galaxy_s8" # can be "google_pixel_4a_5g", or "samsung_galaxy_s8"
+input_format = "samsung_galaxy_s8_format" # "google_pixel_4a_5g_format" # can be "google_pixel_4a_5g_format", "samsung_galaxy_s8_format", or "generic"
energy_gap = 10 # in mAh, this parameter and the next one is used in the function utils.remove_aberrants_points to remove some "aberrant_point"
# where the energy measured on a configuration is not in the correct interval regarding "similar" configuration
@@ -29,28 +31,49 @@ convert_X_to_base_Y = True
X_format_in_model = "base_Y"# "base_Y" # can be base_Y (for the base representing limitation on some phone)
# or base_Y_N_on_little with the previous base, but only the number of cores on little socket has been retained,
# not the state of every core as on base_Y
-base_Y__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
- "X_1" : "Core 0 state",
- "X_2" : "Core 1 state",
- "X_3" : "Core 2 state",
- "X_4" : "Core 3 state",
- "X_5" : "Core 4 state",
- "X_6" : "Core 5 state",
- "X_7" : "Medium Socket or core 6 frequency",
- "X_8" : "Big Socket or core 7 frequency"}
-
-base_Y_N_on_little__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
- "X_1" : "Number of little cores active",
- "X_2" : "frequency level of Medium Socket or core 6",
- "X_3" : "frequency level of Big Socket or core 7"}
+
+if phone_name == "google_pixel_4a_5g" :
+
+ base_Y__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
+ "X_1" : "Core 0 state",
+ "X_2" : "Core 1 state",
+ "X_3" : "Core 2 state",
+ "X_4" : "Core 3 state",
+ "X_5" : "Core 4 state",
+ "X_6" : "Core 5 state",
+ "X_7" : "Medium Socket or core 6 frequency",
+ "X_8" : "Big Socket or core 7 frequency"}
+
+ base_Y_N_on_little__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
+ "X_1" : "Number of little cores active",
+ "X_2" : "frequency level of Medium Socket or core 6",
+ "X_3" : "frequency level of Big Socket or core 7"}
+
+elif phone_name == "samsung_galaxy_s8" :
+
+ base_Y__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
+ "X_1" : "Core 0 state",
+ "X_2" : "Core 1 state",
+ "X_3" : "Core 2 state",
+ "X_4" : "Core 3 state",
+ "X_5" : "frequency level of Big Socket",
+ "X_6" : "Core 4 state",
+ "X_7" : "Core 5 state",
+ "X_8" : "Core 6 state",
+ "X_9" : "Core 7 state",}
+
+ base_Y_N_on_little__X_meaning_dictionnary = {"X_0" : "frequency level of Little Socket",
+ "X_1" : "Number of little cores active",
+ "X_2" :"frequency level of Big Socket",
+ "X_3" : "Number of Big cores active"}
+
consider_automatization_summaries = True
automatization_summaries_folder = "/mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only"
#automatization_summaries_folder = "/mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/can_be_reused/GOOGLE_PIXEL_RESULTS/summary_files_only_0.89"
-phone_name = "samsung_galaxy_s8" # can be "google_pixel_4a_5g", or "samsung_galaxy_s8"
-input_format = "samsung_galaxy_s8_format" # "google_pixel_4a_5g_format" # can be "google_pixel_4a_5g_format", "samsung_galaxy_s8_format", or "generic"
+
consider_exact_values_of_frequency = False # considerer exact values of frequencies of O and 1
populate_inputs_to_considere_thread_combinations_on_same_socket = False
maximum_number_of_combination = 1000 # Maximum number of combinaitions per configuration when populating X
@@ -60,8 +83,8 @@ standartize_inputs = False
########### General options of the model
alpha = 0.01000000099 # [ best value for Base_Y format 0.01000000099 ] #0.44930060152149415 #0.730902889668161 # 1e-4
-search_ridge_coeff = True # MODIFIED before integrating experiment automatization
-search_strategy = "dichotomic" # "dichotomic" # can be sequential, dichotomic, explore_all_values
+search_ridge_coeff = False # MODIFIED before integrating experiment automatization
+search_strategy = "explore_all_values" # "dichotomic" # can be sequential, dichotomic, explore_all_values
#ltolerance = 9415743.8 #1000000 #9415743.7# 9415743.7 #0.001 9415743.7 -> R2 = 0.39128379283199
ltolerance = 1e+9 # with exact units of mesurement (workload and energy), the energy efficiency is aroung 1e-11, and error is around 1e-21,
# and when using the correct formula of energy efficiency it is around 1e+20
@@ -69,7 +92,7 @@ lambda_min = 0.000000001
lambda_max = 1
max_iterations = 1000
sequential_gap = 1e-1 #0.00001
-dichotomic_progression_ratio = 33 # progression based on (max_lambda_candidate - min_labda_canditate) / dichotomic_progression_ratio
+dichotomic_progression_ratio = 100 # progression based on (max_lambda_candidate - min_labda_canditate) / dichotomic_progression_ratio
# when choosing the next value of lambda.
# this ratio is also used when exploring all possible values of lambda
#default values if not modified
@@ -94,10 +117,13 @@ elif search_ridge_coeff == False and X_format_in_model == "base_Y" and phone_nam
elif search_ridge_coeff == False and X_format_in_model == "base_Y" and phone_name == "samsung_galaxy_s8":
print(" --- New tests on samsung galaxy s8")
+ alpha = 0.049940597311979425
+ energy_gap = 10
+ number_of_neighbour = 10
do_gaussian_process = True # ADDED before integrating experiment automatization
generate_plots = True # MODIFIED before integrating experiment automatization
-compute_marginal_effect = False # MODIFIED before integrating experiment automatization
+compute_marginal_effect = True # MODIFIED before integrating experiment automatization
# parameter regarding outputs files
output_data_folder = "model_output_data/"
@@ -335,147 +361,300 @@ if compute_marginal_effect:
print("linear model parameters = ", linear_coefficients)
print("*** Linear model R2 score = ", utils.compute_r2_score(y_test, reg_pred_y_test) )
-
+ if phone_name == "samsung_galaxy_s8" :
- r2_score_as_string = repr(R2_score)
- marginal_effect_exploration_folder = "marginal_effect_exploration_automatic_experiments_" + r2_score_as_string [0:4] + "_" + X_format_in_model # Can change depending on the r2 score
-
- os.makedirs(marginal_effect_exploration_folder, exist_ok=True)
- linear_coeff_vs_kernel_ridge_margins_file = marginal_effect_exploration_folder + "/linear_coeff_vs_kernel_ridge_margins.csv" # Can change depending on the r2 score
+ r2_score_as_string = repr(R2_score)
+ marginal_effect_exploration_folder = "marginal_effect_exploration_automatic_experiments_" + phone_name [0:7] + "_" + r2_score_as_string [0:4] + "_" + X_format_in_model # Can change depending on the r2 score
+
+ os.makedirs(marginal_effect_exploration_folder, exist_ok=True)
+ linear_coeff_vs_kernel_ridge_margins_file = marginal_effect_exploration_folder + "/linear_coeff_vs_kernel_ridge_margins.csv" # Can change depending on the r2 score
- X_meaning_dictionnary = base_Y__X_meaning_dictionnary if X_format_in_model == "base_Y" else base_Y_N_on_little__X_meaning_dictionnary if X_format_in_model == "base_Y_N_on_little" else {}
+ X_meaning_dictionnary = base_Y__X_meaning_dictionnary if X_format_in_model == "base_Y" else base_Y_N_on_little__X_meaning_dictionnary if X_format_in_model == "base_Y_N_on_little" else {}
- #Capturing linear coefficients and kernel ridge means marginal effect (not pointwise) in a file
- utils.capture_kernel_means_marginal_and_linear_model_coeff(margins, linear_coefficients, linear_coeff_vs_kernel_ridge_margins_file, X_meaning_dictionnary)
-
+ #Capturing linear coefficients and kernel ridge means marginal effect (not pointwise) in a file
+ utils.capture_kernel_means_marginal_and_linear_model_coeff(margins, linear_coefficients, linear_coeff_vs_kernel_ridge_margins_file, X_meaning_dictionnary)
+
- if X_format_in_model == "base_Y_N_on_little":
+ if X_format_in_model == "base_Y":
- ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
- # plotting histograph
-
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_number_of_little_cores_actives.png", 3e-11, 8)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,2], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_6_frequency_level.png", 3e-11, 3)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,3], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_frequency_level.png", 3e-11, 4)
-
-
- d_X_2_coefficients_file = marginal_effect_exploration_folder + "/d_X_2_linear_coefficients.csv"
- d_X_2_ols = sm.OLS(pointwise_margins[:,2], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
- d_X_2_reg = d_X_2_ols.fit()
- d_X_2_linear_coefficients = d_X_2_reg.params
- print("X_2_d linear model parameters = ", d_X_2_linear_coefficients)
- utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 2,
- d_X_i_linear_coefficients = d_X_2_linear_coefficients,
- file_path = d_X_2_coefficients_file,
- X_meaning_dictionnary_ = X_meaning_dictionnary)
-
+ ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
+ # plotting histograph
+
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_0_state.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,5], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_big_socket_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,8], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_state.png", 3e-11, 8)
+
+
+ ### Plotting marginal effect plots
+ ## Regression of d_X_6 over all other variable including X_5 is the frequency of big cores
+ d_X_5_coefficients_file = marginal_effect_exploration_folder + "/d_X_5_linear_coefficients.csv"
+ d_X_5_ols = sm.OLS(pointwise_margins[:,5], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_5_reg = d_X_5_ols.fit()
+ d_X_5_linear_coefficients = d_X_5_reg.params
+ print("X_5_d linear model parameters = ", d_X_5_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 5,
+ d_X_i_linear_coefficients = d_X_5_linear_coefficients,
+ file_path = d_X_5_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_5 over other variables")
+
+ utils.plot_ten_marginal_interactions(X_train, pointwise_margins, 5, 0, 1, 2, 3,4,5,6,7, 8, 9, X_meaning_dictionnary, marginal_effect_exploration_folder)
- # plotting of d_X_2, regarding to other_variables with
- _, (d_X_2_over_X_0, d_X_2_over_X_1, d_X_2_over_X_3) = plt.subplots(nrows=3, sharex=True, sharey=True, figsize=(12, 13))
- d_X_2_over_X_0.scatter(X_train[:,0], pointwise_margins[:,2], c = "blue")
- # Add title and axis names
- d_X_2_over_X_0.set_title('d_X_2 over X_0')
- d_X_2_over_X_0.set_xlabel('X_0 : frequency level of little socket')
- d_X_2_over_X_0.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
- d_X_2_over_X_0.tick_params(size=8)
+ """
+
+ ## Regression of d_X_7 over all other variable including
+ d_X_7_coefficients_file = marginal_effect_exploration_folder + "/d_X_7_linear_coefficients.csv"
+ d_X_7_ols = sm.OLS(pointwise_margins[:,7], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_7_reg = d_X_7_ols.fit()
+ d_X_7_linear_coefficients = d_X_7_reg.params
+ print("X_7_d linear model parameters = ", d_X_7_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 7,
+ d_X_i_linear_coefficients = d_X_7_linear_coefficients,
+ file_path = d_X_7_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_7 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 7, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
- d_X_2_over_X_1.scatter(X_train[:,1], pointwise_margins[:,2], c = "blue")
- # Add title and axis names
- d_X_2_over_X_1.set_title('d_X_2 over X_1')
- d_X_2_over_X_1.set_xlabel('X_1 : Number of threads on little socket')
- d_X_2_over_X_1.set_ylabel("d_X_2 ")
- d_X_2_over_X_1.tick_params(size=8)
+ ## Regression of d_X_0 over all other variable including
+ d_X_0_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
+ d_X_0_ols = sm.OLS(pointwise_margins[:,0], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_0_reg = d_X_0_ols.fit()
+ d_X_0_linear_coefficients = d_X_0_reg.params
+ print("X_0_d linear model parameters = ", d_X_0_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 0,
+ d_X_i_linear_coefficients = d_X_0_linear_coefficients,
+ file_path = d_X_0_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_0 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 0, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
+
+ ## Regression of d_X_0 over all other variable including
+ d_X_1_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
+ d_X_1_ols = sm.OLS(pointwise_margins[:,1], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_1_reg = d_X_1_ols.fit()
+ d_X_1_linear_coefficients = d_X_1_reg.params
+ print("X_0_d linear model parameters = ", d_X_1_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 1,
+ d_X_i_linear_coefficients = d_X_1_linear_coefficients,
+ file_path = d_X_1_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_0 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 1, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+ """
+
-
- d_X_2_over_X_3.scatter(X_train[:,3], pointwise_margins[:,2], c = "blue")
- # Add title and axis names
- d_X_2_over_X_3.set_title('d_X_2 over X_3')
- d_X_2_over_X_3.set_xlabel('X_3 : frequency of core 7 (8th core)')
- d_X_2_over_X_3.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
- d_X_2_over_X_3.tick_params(size=8)
+
+
+ elif X_format_in_model == "base_Y_N_on_little":
+ ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
+ # plotting histograph
+
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_number_of_little_cores_actives.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,5], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_big_socket_frequency_level.png", 3e-11, 3)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,9], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_frequency_level.png", 3e-11, 4)
+
+
+ d_X_2_coefficients_file = marginal_effect_exploration_folder + "/d_X_2_linear_coefficients.csv"
+ d_X_2_ols = sm.OLS(pointwise_margins[:,2], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_2_reg = d_X_2_ols.fit()
+ d_X_2_linear_coefficients = d_X_2_reg.params
+ print("X_2_d linear model parameters = ", d_X_2_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 2,
+ d_X_i_linear_coefficients = d_X_2_linear_coefficients,
+ file_path = d_X_2_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+
+
+ # plotting of d_X_2, regarding to other_variables with
+ _, (d_X_2_over_X_0, d_X_2_over_X_1, d_X_2_over_X_3) = plt.subplots(nrows=3, sharex=True, sharey=True, figsize=(12, 13))
+ d_X_2_over_X_0.scatter(X_train[:,0], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_0.set_title('d_X_2 over X_0')
+ d_X_2_over_X_0.set_xlabel('X_0 : frequency level of little socket')
+ d_X_2_over_X_0.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
+ d_X_2_over_X_0.tick_params(size=8)
+
+
+ d_X_2_over_X_1.scatter(X_train[:,1], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_1.set_title('d_X_2 over X_1')
+ d_X_2_over_X_1.set_xlabel('X_1 : Number of threads on little socket')
+ d_X_2_over_X_1.set_ylabel("d_X_2 ")
+ d_X_2_over_X_1.tick_params(size=8)
- #_ = d_X_0_over_X_5.set_title("Point wise marginal effect of frequency of core 0 according to the one of core 1, 2 and 3")
+
+ d_X_2_over_X_3.scatter(X_train[:,3], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_3.set_title('d_X_2 over X_3')
+ d_X_2_over_X_3.set_xlabel('X_3 : frequency of core 7 (8th core)')
+ d_X_2_over_X_3.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
+ d_X_2_over_X_3.tick_params(size=8)
+
+ #_ = d_X_0_over_X_5.set_title("Point wise marginal effect of frequency of core 0 according to the one of core 1, 2 and 3")
+
+ plt.gcf().autofmt_xdate()
+ plt.xticks(fontsize=8)
+ plt.savefig(marginal_effect_exploration_folder + "/point_wise_marginal_effect_of_frequency_of_Medium_core_over_frequency_of_little_socket_number_of_thread_on_little_socket_and_8_th_core_frequency.png")
+ plt.clf()
+ plt.cla()
+ plt.close()
+
+
+
- plt.gcf().autofmt_xdate()
- plt.xticks(fontsize=8)
- plt.savefig(marginal_effect_exploration_folder + "/point_wise_marginal_effect_of_frequency_of_Medium_core_over_frequency_of_little_socket_number_of_thread_on_little_socket_and_8_th_core_frequency.png")
- plt.clf()
- plt.cla()
- plt.close()
-
+
+
+ if phone_name == "google_pixel_4a_5g" :
+
+ r2_score_as_string = repr(R2_score)
+ marginal_effect_exploration_folder = "marginal_effect_exploration_automatic_experiments_" + r2_score_as_string [0:4] + "_" + X_format_in_model # Can change depending on the r2 score
- elif X_format_in_model == "base_Y":
+ os.makedirs(marginal_effect_exploration_folder, exist_ok=True)
+ linear_coeff_vs_kernel_ridge_margins_file = marginal_effect_exploration_folder + "/linear_coeff_vs_kernel_ridge_margins.csv" # Can change depending on the r2 score
+
+ X_meaning_dictionnary = base_Y__X_meaning_dictionnary if X_format_in_model == "base_Y" else base_Y_N_on_little__X_meaning_dictionnary if X_format_in_model == "base_Y_N_on_little" else {}
+
+ #Capturing linear coefficients and kernel ridge means marginal effect (not pointwise) in a file
+ utils.capture_kernel_means_marginal_and_linear_model_coeff(margins, linear_coefficients, linear_coeff_vs_kernel_ridge_margins_file, X_meaning_dictionnary)
- ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
- # plotting histograph
-
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_0_state.png", 3e-11, 8)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,7], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_6_frequency_level.png", 3e-11, 8)
- utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,8], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_frequency_level.png", 3e-11, 8)
-
- ### Plotting marginal effect plots
- ## Regression of d_X_8 over all other variable including
- d_X_8_coefficients_file = marginal_effect_exploration_folder + "/d_X_8_linear_coefficients.csv"
- d_X_8_ols = sm.OLS(pointwise_margins[:,8], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
- d_X_8_reg = d_X_8_ols.fit()
- d_X_8_linear_coefficients = d_X_8_reg.params
- print("X_8_d linear model parameters = ", d_X_8_linear_coefficients)
- utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 8,
- d_X_i_linear_coefficients = d_X_8_linear_coefficients,
- file_path = d_X_8_coefficients_file,
- X_meaning_dictionnary_ = X_meaning_dictionnary)
- print("Plotting d_X_8 over other variables")
- utils.plot_marginal_interactions(X_train, pointwise_margins, 8, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
-
-
-
- ## Regression of d_X_7 over all other variable including
- d_X_7_coefficients_file = marginal_effect_exploration_folder + "/d_X_7_linear_coefficients.csv"
- d_X_7_ols = sm.OLS(pointwise_margins[:,7], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
- d_X_7_reg = d_X_7_ols.fit()
- d_X_7_linear_coefficients = d_X_7_reg.params
- print("X_7_d linear model parameters = ", d_X_7_linear_coefficients)
- utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 7,
- d_X_i_linear_coefficients = d_X_7_linear_coefficients,
- file_path = d_X_7_coefficients_file,
- X_meaning_dictionnary_ = X_meaning_dictionnary)
- print("Plotting d_X_7 over other variables")
- utils.plot_marginal_interactions(X_train, pointwise_margins, 7, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+ if X_format_in_model == "base_Y_N_on_little":
+
-
- ## Regression of d_X_0 over all other variable including
- d_X_0_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
- d_X_0_ols = sm.OLS(pointwise_margins[:,0], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
- d_X_0_reg = d_X_0_ols.fit()
- d_X_0_linear_coefficients = d_X_0_reg.params
- print("X_0_d linear model parameters = ", d_X_0_linear_coefficients)
- utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 0,
- d_X_i_linear_coefficients = d_X_0_linear_coefficients,
- file_path = d_X_0_coefficients_file,
- X_meaning_dictionnary_ = X_meaning_dictionnary)
- print("Plotting d_X_0 over other variables")
- utils.plot_marginal_interactions(X_train, pointwise_margins, 0, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
-
-
-
- ## Regression of d_X_0 over all other variable including
- d_X_1_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
- d_X_1_ols = sm.OLS(pointwise_margins[:,1], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
- d_X_1_reg = d_X_1_ols.fit()
- d_X_1_linear_coefficients = d_X_1_reg.params
- print("X_0_d linear model parameters = ", d_X_1_linear_coefficients)
- utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 1,
- d_X_i_linear_coefficients = d_X_1_linear_coefficients,
- file_path = d_X_1_coefficients_file,
- X_meaning_dictionnary_ = X_meaning_dictionnary)
- print("Plotting d_X_0 over other variables")
- utils.plot_marginal_interactions(X_train, pointwise_margins, 1, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+ ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
+ # plotting histograph
+
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_number_of_little_cores_actives.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,2], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_6_frequency_level.png", 3e-11, 3)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,3], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_frequency_level.png", 3e-11, 4)
+
+
+ d_X_2_coefficients_file = marginal_effect_exploration_folder + "/d_X_2_linear_coefficients.csv"
+ d_X_2_ols = sm.OLS(pointwise_margins[:,2], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_2_reg = d_X_2_ols.fit()
+ d_X_2_linear_coefficients = d_X_2_reg.params
+ print("X_2_d linear model parameters = ", d_X_2_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 2,
+ d_X_i_linear_coefficients = d_X_2_linear_coefficients,
+ file_path = d_X_2_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+
+
+ # plotting of d_X_2, regarding to other_variables with
+ _, (d_X_2_over_X_0, d_X_2_over_X_1, d_X_2_over_X_3) = plt.subplots(nrows=3, sharex=True, sharey=True, figsize=(12, 13))
+ d_X_2_over_X_0.scatter(X_train[:,0], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_0.set_title('d_X_2 over X_0')
+ d_X_2_over_X_0.set_xlabel('X_0 : frequency level of little socket')
+ d_X_2_over_X_0.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
+ d_X_2_over_X_0.tick_params(size=8)
+
+
+ d_X_2_over_X_1.scatter(X_train[:,1], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_1.set_title('d_X_2 over X_1')
+ d_X_2_over_X_1.set_xlabel('X_1 : Number of threads on little socket')
+ d_X_2_over_X_1.set_ylabel("d_X_2 ")
+ d_X_2_over_X_1.tick_params(size=8)
+
+
+ d_X_2_over_X_3.scatter(X_train[:,3], pointwise_margins[:,2], c = "blue")
+ # Add title and axis names
+ d_X_2_over_X_3.set_title('d_X_2 over X_3')
+ d_X_2_over_X_3.set_xlabel('X_3 : frequency of core 7 (8th core)')
+ d_X_2_over_X_3.set_ylabel("d_X_2 : pointwise marginal effect of frequency of Medium core")
+ d_X_2_over_X_3.tick_params(size=8)
+
+ #_ = d_X_0_over_X_5.set_title("Point wise marginal effect of frequency of core 0 according to the one of core 1, 2 and 3")
+
+ plt.gcf().autofmt_xdate()
+ plt.xticks(fontsize=8)
+ plt.savefig(marginal_effect_exploration_folder + "/point_wise_marginal_effect_of_frequency_of_Medium_core_over_frequency_of_little_socket_number_of_thread_on_little_socket_and_8_th_core_frequency.png")
+ plt.clf()
+ plt.cla()
+ plt.close()
+
+
+ elif X_format_in_model == "base_Y":
+
+ ### Plotting X_1 distribution plot (Note, it is the activation state of the first core! because we are in Base_Y format of X).
+ # plotting histograph
+
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,0], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_little_socket_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,1], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_0_state.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,7], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_6_frequency_level.png", 3e-11, 8)
+ utils.plot_marginal_effect_histogramm_graph(pointwise_margins[:,8], marginal_effect_exploration_folder + "/point_wise_marginal_distribution_of_core_7_frequency_level.png", 3e-11, 8)
+
+ ### Plotting marginal effect plots
+ ## Regression of d_X_8 over all other variable including
+ d_X_8_coefficients_file = marginal_effect_exploration_folder + "/d_X_8_linear_coefficients.csv"
+ d_X_8_ols = sm.OLS(pointwise_margins[:,8], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_8_reg = d_X_8_ols.fit()
+ d_X_8_linear_coefficients = d_X_8_reg.params
+ print("X_8_d linear model parameters = ", d_X_8_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 8,
+ d_X_i_linear_coefficients = d_X_8_linear_coefficients,
+ file_path = d_X_8_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_8 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 8, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
+ ## Regression of d_X_7 over all other variable including
+ d_X_7_coefficients_file = marginal_effect_exploration_folder + "/d_X_7_linear_coefficients.csv"
+ d_X_7_ols = sm.OLS(pointwise_margins[:,7], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_7_reg = d_X_7_ols.fit()
+ d_X_7_linear_coefficients = d_X_7_reg.params
+ print("X_7_d linear model parameters = ", d_X_7_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 7,
+ d_X_i_linear_coefficients = d_X_7_linear_coefficients,
+ file_path = d_X_7_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_7 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 7, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
+ ## Regression of d_X_0 over all other variable including
+ d_X_0_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
+ d_X_0_ols = sm.OLS(pointwise_margins[:,0], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_0_reg = d_X_0_ols.fit()
+ d_X_0_linear_coefficients = d_X_0_reg.params
+ print("X_0_d linear model parameters = ", d_X_0_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 0,
+ d_X_i_linear_coefficients = d_X_0_linear_coefficients,
+ file_path = d_X_0_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_0 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 0, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
+
+ ## Regression of d_X_0 over all other variable including
+ d_X_1_coefficients_file = marginal_effect_exploration_folder + "/d_X_0_linear_coefficients.csv"
+ d_X_1_ols = sm.OLS(pointwise_margins[:,1], X_train ) # warning in the sm OLS function argument format, y is the first parameter.
+ d_X_1_reg = d_X_1_ols.fit()
+ d_X_1_linear_coefficients = d_X_1_reg.params
+ print("X_0_d linear model parameters = ", d_X_1_linear_coefficients)
+ utils.capture_d_X_i_linear_coefficient_on_others_X_variables(d_X_i_indice = 1,
+ d_X_i_linear_coefficients = d_X_1_linear_coefficients,
+ file_path = d_X_1_coefficients_file,
+ X_meaning_dictionnary_ = X_meaning_dictionnary)
+ print("Plotting d_X_0 over other variables")
+ utils.plot_marginal_interactions(X_train, pointwise_margins, 1, 0, 1, 2, 3,4,5,6,7, 8, X_meaning_dictionnary, marginal_effect_exploration_folder)
+
+
diff --git a/kernel_ridge_linear_model/kernel_ridge_prediction_on_google_pixel_4a_5g.png b/kernel_ridge_linear_model/kernel_ridge_prediction_on_google_pixel_4a_5g.png
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diff --git a/kernel_ridge_linear_model/log_file_for_samsung.txt b/kernel_ridge_linear_model/log_file_for_samsung.txt
index 2c9ec57..1c7bda2 100755
--- a/kernel_ridge_linear_model/log_file_for_samsung.txt
+++ b/kernel_ridge_linear_model/log_file_for_samsung.txt
@@ -1,236 +1,367 @@
+ --- New tests on samsung galaxy s8
--- Getting data from folder /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only
--- Maximum input size = -1
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_first_results_samsung_interrupted.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiements_first_part.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiement_second_part.csv
-*** Total configurations in user friendly format: ['0303-1010', '0033-3000', '0303-0100', '2222-0220', '3000-1110', '0030-0000', '0020-0010', '1000-1010', '0020-0202', '0010-3300', '0011-0111', '3303-0001', '0022-0030', '0011-1100', '3303-1010', '0003-1001', '0000-0000', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '3333-0000', '3333-3000', '3333-3300', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '0000-0000', '1000-0000', '2000-0000', '3000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000']
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
+*** Total configurations in user friendly format: ['0303-1010', '0033-3000', '0303-0100', '2222-0220', '3000-1110', '0030-0000', '0020-0010', '1000-1010', '0020-0202', '0010-3300', '0011-0111', '3303-0001', '0022-0030', '0011-1100', '3303-1010', '0003-1001', '0000-0000', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '3333-0000', '3333-3000', '3333-3300', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '0000-0000', '1000-0000', '2000-0000', '3000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000', '2000-2000', '3000-1100', '3000-2200', '1000-1100', '2000-2200', '3000-3300', '0000-1000', '0000-2000', '0000-2200', '1001-2220', '0200-1100', '2002-0100', '0000-0001', '0101-0200', '3330-2220', '2002-2000', '0001-0200', '0220-0020', '0303-1000', '0110-0020', '0030-2000', '2002-1001', '0101-2020', '0202-1001', '3003-1101', '0220-1001', '3003-0002', '1111-0101', '2220-0000', '2020-0022']
--- Getting data from folder /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only
--- Maximum input size = -1
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_first_results_samsung_interrupted.csv
--- Converting [0.0, 3.0, 0.0, 3.0, 1.0, 0.0, 1.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 0, 1, 0, 0.0, 0, 1, 0, 1, 0]
+ --- Result _ samsung = [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0]
--- Converting [0.0, 0.0, 3.0, 3.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 0, 0, 1, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 0, 0, 1, 1, 2.0, 1, 0, 0, 0]
--- Converting [0.0, 3.0, 0.0, 3.0, 0.0, 1.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 0, 1, 0, 0.0, 0, 0, 1, 0, 0]
+ --- Result _ samsung = [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0]
--- Converting [2.0, 2.0, 2.0, 2.0, 0.0, 2.0, 2.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 1, 1, 1, 1.0, 0, 0, 1, 1, 0]
+ --- Result _ samsung = [1.0, 1, 1, 1, 1, 1.0, 0, 1, 1, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 0.0, 0, 1, 1, 1, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 0.0, 1, 1, 1, 0]
--- Converting [0.0, 0.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
--- Converting [0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0]
+ --- Result _ samsung = [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0]
--- Converting [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 0, 0, 0.0, 0, 1, 0, 1, 0]
+ --- Result _ samsung = [0.0, 1, 0, 0, 0, 0.0, 1, 0, 1, 0]
--- Converting [0.0, 0.0, 2.0, 0.0, 0.0, 2.0, 0.0, 2.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 0, 0, 1, 1.0, 0, 0, 1, 0, 1]
+ --- Result _ samsung = [1.0, 0, 0, 1, 0, 1.0, 0, 1, 0, 1]
--- Converting [0.0, 0.0, 1.0, 0.0, 3.0, 3.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0]
+ --- Result _ samsung = [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0]
--- Converting [0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 0, 0, 1, 0.0, 0, 0, 1, 1, 1]
+ --- Result _ samsung = [0.0, 0, 0, 1, 1, 0.0, 0, 1, 1, 1]
--- Converting [3.0, 3.0, 0.0, 3.0, 0.0, 0.0, 0.0, 1.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 0.0, 0, 0, 0, 0, 1]
+ --- Result _ samsung = [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1]
--- Converting [0.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0]
+ --- Result _ samsung = [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0]
--- Converting [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0]
+ --- Result _ samsung = [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0]
--- Converting [3.0, 3.0, 0.0, 3.0, 1.0, 0.0, 1.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 0.0, 0, 1, 0, 1, 0]
+ --- Result _ samsung = [2.0, 1, 1, 0, 1, 0.0, 1, 0, 1, 0]
--- Converting [0.0, 0.0, 0.0, 3.0, 1.0, 0.0, 0.0, 1.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 0, 0, 0, 0.0, 0, 1, 0, 0, 1]
+ --- Result _ samsung = [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1]
--- Converting [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiements_first_part.csv
--- Converting [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 3.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 3.0, 3.0, 3.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 1, 1, 0, 0, 0, 0, 0]
--- Converting [3.0, 3.0, 3.0, 3.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 1, 1, 2.0, 1, 0, 0, 0]
--- Converting [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 1, 2.0, 0, 1, 1, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 1, 1, 2.0, 1, 1, 0, 0]
--- Converting [0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0]
--- Converting [0.0, 0.0, 0.0, 0.0, 3.0, 3.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0]
--- Converting [0.0, 0.0, 0.0, 0.0, 3.0, 3.0, 3.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0]
--- Converting [3.0, 3.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0]
--- Converting [3.0, 3.0, 3.0, 0.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 3.0, 3.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 3.0, 3.0, 3.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0]
--- Converting [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Converting [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Converting [2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiement_second_part.csv
--- Converting [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Converting [2.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Converting [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Converting [2.0, 2.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Result _ samsung = [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Converting [3.0, 3.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
--- Converting [3.0, 3.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
--- Converting [1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
--- Converting [2.0, 2.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
--- Converting [3.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0]
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
--- Converting [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
--- Processing little cores
--- Processing big cores
- --- Result = [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
-*** Total Configurations formatted: [[2.0, 0, 1, 0, 0.0, 0, 1, 0, 1, 0], [2.0, 0, 0, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 0, 1, 0, 0.0, 0, 0, 1, 0, 0], [1.0, 1, 1, 1, 1.0, 0, 0, 1, 1, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 1, 1, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 1, 0, 0, 0.0, 0, 1, 0, 1, 0], [1.0, 0, 0, 1, 1.0, 0, 0, 1, 0, 1], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [0.0, 0, 0, 1, 0.0, 0, 0, 1, 1, 1], [2.0, 1, 1, 0, 0.0, 0, 0, 0, 0, 1], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 1, 0], [2.0, 0, 0, 0, 0.0, 0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]]
+ --- Result _ samsung = [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
+ --- Converting [2.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Converting [3.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Converting [3.0, 0.0, 0.0, 0.0, 2.0, 2.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Converting [1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Converting [2.0, 0.0, 0.0, 0.0, 2.0, 2.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Converting [3.0, 0.0, 0.0, 0.0, 3.0, 3.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
+ --- Converting [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Converting [0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Converting [0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Converting [1.0, 0.0, 0.0, 1.0, 2.0, 2.0, 2.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0]
+ --- Converting [0.0, 2.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Converting [2.0, 0.0, 0.0, 2.0, 0.0, 1.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 0, 1, 0.0, 0, 1, 0, 0]
+ --- Converting [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1]
+ --- Converting [0.0, 1.0, 0.0, 1.0, 0.0, 2.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0]
+ --- Converting [3.0, 3.0, 3.0, 0.0, 2.0, 2.0, 2.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0]
+ --- Converting [2.0, 0.0, 0.0, 2.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0]
+ --- Converting [0.0, 0.0, 0.0, 1.0, 0.0, 2.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0]
+ --- Converting [0.0, 2.0, 2.0, 0.0, 0.0, 0.0, 2.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+ --- Converting [0.0, 3.0, 0.0, 3.0, 1.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0]
+ --- Converting [0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 2.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+ --- Converting [0.0, 0.0, 3.0, 0.0, 2.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0]
+ --- Converting [2.0, 0.0, 0.0, 2.0, 1.0, 0.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1]
+ --- Converting [0.0, 1.0, 0.0, 1.0, 2.0, 0.0, 2.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0]
+ --- Converting [0.0, 2.0, 0.0, 2.0, 1.0, 0.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1]
+ --- Converting [3.0, 0.0, 0.0, 3.0, 1.0, 1.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 0, 0, 1, 0.0, 1, 1, 0, 1]
+ --- Converting [0.0, 2.0, 2.0, 0.0, 1.0, 0.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1]
+ --- Converting [3.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0, 2.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [2.0, 1, 0, 0, 1, 1.0, 0, 0, 0, 1]
+ --- Converting [1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1]
+ --- Converting [2.0, 2.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Converting [2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 2.0, 2.0] in base Y array notation
+--- Processing little cores
+--- Processing big cores
+ --- Result _ samsung = [1.0, 1, 0, 1, 0, 1.0, 0, 0, 1, 1]
+*** Total Configurations formatted: [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 0, 1, 1, 2.0, 1, 0, 0, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [1.0, 1, 1, 1, 1, 1.0, 0, 1, 1, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 1, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 1, 0], [1.0, 0, 0, 1, 0, 1.0, 0, 1, 0, 1], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [0.0, 0, 0, 1, 1, 0.0, 0, 1, 1, 1], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 1, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 1, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 1, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [2.0, 1, 0, 0, 1, 0.0, 1, 1, 0, 1], [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1], [2.0, 1, 0, 0, 1, 1.0, 0, 0, 0, 1], [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 1, 0, 1.0, 0, 0, 1, 1]]
---> Creating X dictionnary, from userfriendly values to x values
-*** Total Configurations dictionnary: {'0303-1010': [2.0, 0, 1, 0, 0.0, 0, 1, 0, 1, 0], '0033-3000': [2.0, 0, 0, 1, 2.0, 0, 1, 0, 0, 0], '0303-0100': [2.0, 0, 1, 0, 0.0, 0, 0, 1, 0, 0], '2222-0220': [1.0, 1, 1, 1, 1.0, 0, 0, 1, 1, 0], '3000-1110': [2.0, 1, 0, 0, 0.0, 0, 1, 1, 1, 0], '0030-0000': [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], '0020-0010': [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], '1000-1010': [0.0, 1, 0, 0, 0.0, 0, 1, 0, 1, 0], '0020-0202': [1.0, 0, 0, 1, 1.0, 0, 0, 1, 0, 1], '0010-3300': [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], '0011-0111': [0.0, 0, 0, 1, 0.0, 0, 0, 1, 1, 1], '3303-0001': [2.0, 1, 1, 0, 0.0, 0, 0, 0, 0, 1], '0022-0030': [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], '0011-1100': [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], '3303-1010': [2.0, 1, 1, 0, 0.0, 0, 1, 0, 1, 0], '0003-1001': [2.0, 0, 0, 0, 0.0, 0, 1, 0, 0, 1], '0000-0000': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], '3000-0000': [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '3300-0000': [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '3330-0000': [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '3333-0000': [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '3333-3000': [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], '3333-3300': [2.0, 1, 1, 1, 2.0, 0, 1, 1, 0, 0], '0000-3000': [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], '0000-3300': [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], '0000-3330': [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], '3300-3000': [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], '3330-3000': [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], '3000-3000': [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], '3000-3300': [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], '3000-3330': [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], '1000-0000': [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '2000-0000': [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '1100-0000': [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '2200-0000': [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '1110-0000': [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '2220-0000': [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '3300-1000': [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], '3300-2000': [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], '1100-1000': [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], '2200-2000': [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], '3000-1000': [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0], '3000-2000': [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0], '1000-1000': [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]}
+*** Total Configurations dictionnary: {'0303-1010': [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], '0033-3000': [2.0, 0, 0, 1, 1, 2.0, 1, 0, 0, 0], '0303-0100': [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], '2222-0220': [1.0, 1, 1, 1, 1, 1.0, 0, 1, 1, 0], '3000-1110': [2.0, 1, 0, 0, 0, 0.0, 1, 1, 1, 0], '0030-0000': [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], '0020-0010': [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], '1000-1010': [0.0, 1, 0, 0, 0, 0.0, 1, 0, 1, 0], '0020-0202': [1.0, 0, 0, 1, 0, 1.0, 0, 1, 0, 1], '0010-3300': [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], '0011-0111': [0.0, 0, 0, 1, 1, 0.0, 0, 1, 1, 1], '3303-0001': [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], '0022-0030': [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], '0011-1100': [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], '3303-1010': [2.0, 1, 1, 0, 1, 0.0, 1, 0, 1, 0], '0003-1001': [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], '0000-0000': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], '3000-0000': [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '3300-0000': [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '3330-0000': [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '3333-0000': [2.0, 1, 1, 1, 1, 0, 0, 0, 0, 0], '3333-3000': [2.0, 1, 1, 1, 1, 2.0, 1, 0, 0, 0], '3333-3300': [2.0, 1, 1, 1, 1, 2.0, 1, 1, 0, 0], '0000-3000': [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], '0000-3300': [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], '0000-3330': [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], '3300-3000': [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], '3330-3000': [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], '3000-3000': [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], '3000-3300': [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], '3000-3330': [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], '1000-0000': [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '2000-0000': [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], '1100-0000': [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '2200-0000': [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], '1110-0000': [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '2220-0000': [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], '3300-1000': [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], '3300-2000': [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], '1100-1000': [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], '2200-2000': [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], '3000-1000': [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], '3000-2000': [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], '1000-1000': [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], '2000-2000': [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], '3000-1100': [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], '3000-2200': [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], '1000-1100': [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], '2000-2200': [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], '0000-1000': [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], '0000-2000': [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], '0000-2200': [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], '1001-2220': [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], '0200-1100': [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], '2002-0100': [1.0, 1, 0, 0, 1, 0.0, 0, 1, 0, 0], '0000-0001': [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], '0101-0200': [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], '3330-2220': [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], '2002-2000': [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], '0001-0200': [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], '0220-0020': [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], '0303-1000': [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], '0110-0020': [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], '0030-2000': [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], '2002-1001': [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], '0101-2020': [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], '0202-1001': [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], '3003-1101': [2.0, 1, 0, 0, 1, 0.0, 1, 1, 0, 1], '0220-1001': [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1], '3003-0002': [2.0, 1, 0, 0, 1, 1.0, 0, 0, 0, 1], '1111-0101': [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1], '2020-0022': [1.0, 1, 0, 1, 0, 1.0, 0, 0, 1, 1]}
--- Getting data from folder /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only
--- Maximum input size = -1
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_first_results_samsung_interrupted.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiements_first_part.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiement_second_part.csv
-*** Total energy efficiencies: [8236960890.90969, 6957102505.948323, 6956231392.081026, 11285968381.230984, 8096707069.234942, 994906080.8659663, 3998672440.749671, 6501654671.113798, 8089829466.394849, 6532788063.289651, 8964027358.211496, 8321129010.784183, 7249844128.351241, 7650055845.407672, 9340120487.55429, 6806147312.252427, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 8296551953.00833, 9400881802.713095, 9963434196.49885, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208]
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
+*** Total energy efficiencies: [8236960890.90969, 6957102505.948323, 6956231392.081026, 11285968381.230984, 8096707069.234942, 994906080.8659663, 3998672440.749671, 6501654671.113798, 8089829466.394849, 6532788063.289651, 8964027358.211496, 8321129010.784183, 7249844128.351241, 7650055845.407672, 9340120487.55429, 6806147312.252427, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 8296551953.00833, 9400881802.713095, 9963434196.49885, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208, 4153496621.1304984, 6443423519.784533, 6519117311.516021, 6448575832.027497, 6539495281.754154, 6473246073.976255, 3145168392.3157244, 3331046015.069652, 5724131219.984087, 9166575000.916658, 6540008502.011052, 7245431755.278297, 3321398441.599851, 5549420363.04308, 9229945635.620207, 7263008047.412917, 4385426351.149858, 5040602049.508794, 6928278461.367919, 5821399464.43125, 4809102669.532892, 8795770993.306417, 8367150566.874451, 8895689149.038376, 9428892010.8998, 7282684688.88371, 7595205906.032112, 9080672696.233337, 2991522026.5766816, 8754497623.153894]
--- Getting data from folder /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only
--- Maximum input size = -1
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_first_results_samsung_interrupted.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiements_first_part.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiement_second_part.csv
-*** Total energy : [61.00540758755291, 53.35616382684589, 53.38267358149647, 54.74622776577034, 49.41467631934382, 29.623247258891045, 36.82601141845538, 42.85376093977719, 66.44909360627778, 42.64544340651106, 50.74428137607953, 59.94594005320708, 42.05401520354165, 43.82652071469574, 67.3857084084629, 54.44253148500697, 30.299284062105812, 30.027102694886654, 29.060137396486432, 30.277288658122774, 32.51205394198035, 59.045602086542516, 66.34289826476824, 75.09852863759252, 35.59789292409111, 42.05795824330537, 48.682465076838824, 36.711179058531826, 37.40635012737015, 36.1860248822606, 42.19510352720739, 49.410116578739654, 29.957415812958512, 29.543907709942122, 29.02206558996354, 29.239529117166907, 30.059275323795035, 30.07061597004587, 30.668041259477853, 30.508250558695604, 36.78276420172299, 36.9852979298838, 36.68430426428569, 36.93355197432356, 36.46450751429702, 36.96583597689362, 36.86022362180361]
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
+*** Total energy : [61.00540758755291, 53.35616382684589, 53.38267358149647, 54.74622776577034, 49.41467631934382, 29.623247258891045, 36.82601141845538, 42.85376093977719, 66.44909360627778, 42.64544340651106, 50.74428137607953, 59.94594005320708, 42.05401520354165, 43.82652071469574, 67.3857084084629, 54.44253148500697, 30.299284062105812, 30.027102694886654, 29.060137396486432, 30.277288658122774, 32.51205394198035, 59.045602086542516, 66.34289826476824, 75.09852863759252, 35.59789292409111, 42.05795824330537, 48.682465076838824, 36.711179058531826, 37.40635012737015, 36.1860248822606, 42.19510352720739, 49.410116578739654, 29.957415812958512, 29.543907709942122, 29.02206558996354, 29.239529117166907, 30.059275323795035, 30.07061597004587, 30.668041259477853, 30.508250558695604, 36.78276420172299, 36.9852979298838, 36.68430426428569, 36.93355197432356, 36.46450751429702, 36.96583597689362, 36.86022362180361, 36.241340818491324, 43.3608751201712, 42.79271109577192, 42.80059101405426, 42.61363347008094, 42.474892742303716, 35.44774676664167, 35.40657570372512, 42.51731520413714, 50.735447078258076, 42.722378810206706, 42.016301664202444, 35.588916806469584, 37.334916995372765, 51.28077619994492, 41.829225389075674, 36.59285860316189, 36.67117347490831, 53.6166443408558, 36.31061849927073, 35.93660318178646, 48.71596839606954, 43.37670883350873, 48.8428586507307, 67.46193459835338, 43.18443043197562, 65.80063109114849, 45.44863666563364, 30.63396781022152, 65.93701913313123]
--- Getting data from folder /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only
--- Maximum input size = -1
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/.~lock.summary___06Sep22_09_42_02.csv#
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_first_results_samsung_interrupted.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiements_first_part.csv
--- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary_key_experiement_second_part.csv
-*** Total workload : [502499000000.0, 371205000000.0, 371343000000.0, 617864000000.0, 400095000000.0, 29472300000.0, 147255000000.0, 278621000000.0, 537560000000.0, 278594000000.0, 454872000000.0, 498819000000.0, 304885000000.0, 335276000000.0, 629393000000.0, 370545000000.0, 0.0, 0.0, 29553800000.0, 59956000000.0, 174825000000.0, 489874000000.0, 623684000000.0, 748237000000.0, 117748000000.0, 243499000000.0, 373189000000.0, 186205000000.0, 217816000000.0, 150171000000.0, 278957000000.0, 406369000000.0, 0.0, 29470600000.0, 29457300000.0, 29535500000.0, 60678300000.0, 60106800000.0, 89102900000.0, 92411200000.0, 186062000000.0, 185914000000.0, 218185000000.0, 185980000000.0, 194232000000.0, 150045000000.0, 149735000000.0]
---- Size of X before removing aberrants points from the dataset: 47
+ --- Getting data from file /mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/summary_files_only/summary___06Sep22_09_42_02.csv
+*** Total workload : [502499000000.0, 371205000000.0, 371343000000.0, 617864000000.0, 400095000000.0, 29472300000.0, 147255000000.0, 278621000000.0, 537560000000.0, 278594000000.0, 454872000000.0, 498819000000.0, 304885000000.0, 335276000000.0, 629393000000.0, 370545000000.0, 0.0, 0.0, 29553800000.0, 59956000000.0, 174825000000.0, 489874000000.0, 623684000000.0, 748237000000.0, 117748000000.0, 243499000000.0, 373189000000.0, 186205000000.0, 217816000000.0, 150171000000.0, 278957000000.0, 406369000000.0, 0.0, 29470600000.0, 29457300000.0, 29535500000.0, 60678300000.0, 60106800000.0, 89102900000.0, 92411200000.0, 186062000000.0, 185914000000.0, 218185000000.0, 185980000000.0, 194232000000.0, 150045000000.0, 149735000000.0, 150528000000.0, 279393000000.0, 278971000000.0, 276003000000.0, 278672000000.0, 274951000000.0, 111489000000.0, 117941000000.0, 243375000000.0, 465069000000.0, 279405000000.0, 304426000000.0, 118205000000.0, 207187000000.0, 473319000000.0, 303807000000.0, 160475000000.0, 184845000000.0, 371471000000.0, 211379000000.0, 172823000000.0, 428493000000.0, 362938000000.0, 434491000000.0, 636090000000.0, 314499000000.0, 499771000000.0, 412706000000.0, 91642100000.0, 577244000000.0]
+--- Size of X before removing aberrants points from the dataset: 77
--- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
--- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
1.00000000e+00 0.00000000e+00 8.23696089e+09]
--- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 6.95710251e+09]
--- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
0.00000000e+00 0.00000000e+00 6.95623139e+09]
--- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
1.00000000e+00 0.00000000e+00 1.12859684e+10]
--- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
@@ -245,28 +376,28 @@
0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
1.00000000e+00 0.00000000e+00 6.50165467e+09]
--- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
0.00000000e+00 1.00000000e+00 8.08982947e+09]
--- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
0.00000000e+00 0.00000000e+00 6.53278806e+09]
--- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
1.00000000e+00 1.00000000e+00 8.96402736e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 1.00000000e+00 8.32112901e+09]
--- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 2.00000000e+00 0.00000000e+00 0.00000000e+00
1.00000000e+00 0.00000000e+00 7.24984413e+09]
--- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
0.00000000e+00 0.00000000e+00 7.65005585e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
1.00000000e+00 0.00000000e+00 9.34012049e+09]
--- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 1.00000000e+00 6.80614731e+09]
--- Actual line: [0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0.08333333]
@@ -282,37 +413,37 @@
0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.37724029e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 8.29655195e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ --- Actual line: [2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
9.4008818e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ --- Actual line: [2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
9.9634342e+09]
--- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 3.30772055e+09]
- --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
5.7896169e+09]
--- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
1.00000000e+00 0.00000000e+00 7.66577233e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.07215135e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.82295876e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 4.14998029e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
0.00000000e+00 0.00000000e+00 6.61113315e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
+ --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
8.2244282e+09]
--- Actual line: [0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0.08333333]
@@ -341,58 +472,148 @@
0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.05839922e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.02669173e+09]
--- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
5.947637e+09]
--- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.03552563e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.32660051e+09]
--- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 4.05901812e+09]
--- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 4.06223342e+09]
- --- remove_aberrant_points: do we remove value [2.0, 0, 1, 0, 0.0, 0, 1, 0, 1, 0]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.15349662e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44342352e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.51911731e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44857583e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53949528e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.47324607e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.14516839e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.33104602e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.72413122e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
+ 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00
+ 9.166575e+09]
+ --- Actual line: [1.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 6.5400085e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.24543176e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 3.32139844e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.54942036e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 9.22994564e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.26300805e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.38542635e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.04060205e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.92827846e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.82139946e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.80910267e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.79577099e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.36715057e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.89568915e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 9.42889201e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 7.28268469e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 7.59520591e+09]
+ --- Actual line: [0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 0.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 1.0000000e+00
+ 9.0806727e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.99152203e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 8.75449762e+09]
+ --- remove_aberrant_points: do we remove value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0]
--- Computing the list of the 10 first neighbours of '0303-1010'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -402,60 +623,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, first computation result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0303-1010'
--- Neighbour 0 in the list of neghbours, And at position 0 in the X datas point
@@ -474,13 +725,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 67.3857084084629
--- Workload: 629393000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 65 in the X datas point
--------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
--------------
--- Neighbour 3 in the list of neghbours, And at position 2 in the X datas point
--------------
@@ -490,15 +741,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 4 in the X datas point
---------------
- --- Configuration: 3000-1110
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8096707069.234942
- --- Energy: 49.41467631934382
- --- Workload: 400095000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 15 in the X datas point
--------------
--- Configuration: 0003-1001
--- Distance from that configuration: [0.76130039]
@@ -506,80 +749,72 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.44253148500697
--- Workload: 370545000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 19 in the X datas point
---------------
- --- Configuration: 3300-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
--------------
- --- Configuration: 3300-2000
+ --- Configuration: 3300-1000
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 70 in the X datas point
--------------
- --- Configuration: 3000-1000
+ --- Configuration: 0202-1001
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5326600510.288329
- --- Energy: 36.46450751429702
- --- Workload: 194232000000.0
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 4 in the X datas point
--------------
- --- Configuration: 0030-0000
+ --- Configuration: 3000-1110
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 994906080.8659663
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
--------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0303-1010'
---- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
--------------
- --- Configuration: 0030-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 994906080.8659663
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 44 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0303-1010'
+--- Neighbour 0 in the list of neghbours, And at position 19 in the X datas point
--------------
- --- Configuration: 3000-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5326600510.288329
- --- Energy: 36.46450751429702
- --- Workload: 194232000000.0
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 70 in the X datas point
--------------
- --- Configuration: 3300-2000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
--- Distance from that configuration: [0.76130039]
@@ -587,7 +822,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 2 in the X datas point
--------------
--- Configuration: 0303-0100
--- Distance from that configuration: [0.76130039]
@@ -595,7 +830,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 15 in the X datas point
--------------
--- Configuration: 0003-1001
--- Distance from that configuration: [0.76130039]
@@ -603,10 +846,18 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.44253148500697
--- Workload: 370545000000.0
--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
--- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
--------------
--- Configuration: 0303-1010
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 8236960890.90969
--- Energy: 61.00540758755291
--- Workload: 502499000000.0
@@ -620,53 +871,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 629393000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 41 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 2 in the X datas point
--------------
- --- Configuration: 3300-2000
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
+ --- Configuration: 0303-0100
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (61.00540758755291 mAh) is far from the median.
---- Median :36.9852979298838, the gap is : 10
---- So yes we remove this configuration '0303-1010'
---- remove_aberrant_points: The value [2.0, 0, 1, 0, 0.0, 0, 1, 0, 1, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 0, 0, 1, 2.0, 0, 1, 0, 0, 0]
+--- The energy of the current configuration (53.38267358149647 mAh) it is NOT far from the median.
+--- Median :53.38267358149647, the gap is : 10
+--- So No we don't romove this configuration '0303-1010'
+ --- remove_aberrant_points: The value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 0, 0, 1, 1, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0033-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -676,60 +927,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0033-3000'
--- Neighbour 0 in the list of neghbours, And at position 1 in the X datas point
@@ -748,23 +1029,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
---------------
- --- Configuration: 3330-3000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 67 in the X datas point
--------------
- --- Configuration: 3000-3000
+ --- Configuration: 0030-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 4149980287.5936337
- --- Energy: 36.1860248822606
- --- Workload: 150171000000.0
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
--- Distance from that configuration: [0.76130039]
@@ -772,7 +1045,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 23 in the X datas point
--------------
--- Configuration: 3333-3300
--- Distance from that configuration: [0.76130039]
@@ -780,48 +1053,64 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 75.09852863759252
--- Workload: 748237000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 28 in the X datas point
--------------
- --- Configuration: 3300-3000
+ --- Configuration: 3330-3000
--- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 27 in the X datas point
+--------------
+ --- Configuration: 3300-3000
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 31 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0033-3000'
+--- Neighbour 0 in the list of neghbours, And at position 67 in the X datas point
--------------
- --- Configuration: 3000-3330
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Configuration: 0030-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
--------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0033-3000'
---- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
- --- Distance from that configuration: [1.]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 4149980287.5936337
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.83375292]
@@ -829,23 +1118,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5822958761.806049
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
--- Distance from that configuration: [0.76130039]
@@ -853,7 +1142,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
--- Distance from that configuration: [0.76130039]
@@ -861,18 +1150,10 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 31 in the X datas point
---------------
- --- Configuration: 3000-3330
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
---------------
--- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
--------------
--- Configuration: 0033-3000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6957102505.948323
--- Energy: 53.35616382684589
--- Workload: 371205000000.0
@@ -880,7 +1161,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
--------------
--- Configuration: 3333-3000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 9400881802.713095
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
@@ -894,53 +1175,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 748237000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 12 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 28 in the X datas point
--------------
- --- Configuration: 0022-0030
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Configuration: 3330-3000
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (53.35616382684589 mAh) is far from the median.
---- Median :42.05401520354165, the gap is : 10
+--- Median :37.40635012737015, the gap is : 10
--- So yes we remove this configuration '0033-3000'
---- remove_aberrant_points: The value [2.0, 0, 0, 1, 2.0, 0, 1, 0, 0, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 0, 1, 0, 0.0, 0, 0, 1, 0, 0]
+--- remove_aberrant_points: The value [2.0, 0, 0, 1, 1, 2.0, 1, 0, 0, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '0303-0100'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -950,60 +1231,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0303-0100'
--- Neighbour 0 in the list of neghbours, And at position 2 in the X datas point
@@ -1014,13 +1325,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 65 in the X datas point
--------------
- --- Configuration: 3300-0000
+ --- Configuration: 0303-1000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
--------------
--- Neighbour 2 in the list of neghbours, And at position 0 in the X datas point
--------------
@@ -1030,15 +1341,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 61.00540758755291
--- Workload: 502499000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 5 in the X datas point
---------------
- --- Configuration: 0030-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 994906080.8659663
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.76130039]
@@ -1046,23 +1349,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
--------------
- --- Configuration: 3330-0000
+ --- Configuration: 3300-0000
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.76130039]
@@ -1070,72 +1365,72 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 57 in the X datas point
--------------
- --- Configuration: 3000-0000
+ --- Configuration: 0200-1100
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 58 in the X datas point
--------------
- --- Configuration: 2200-0000
+ --- Configuration: 2002-0100
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
--------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0303-0100'
---- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 5 in the X datas point
--------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
--------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 5 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0303-0100'
+--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 994906080.8659663
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
---------------
- --- Configuration: 2200-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 58 in the X datas point
--------------
- --- Configuration: 3330-0000
+ --- Configuration: 2002-0100
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 2 in the X datas point
--------------
--- Configuration: 0303-0100
--- Distance from that configuration: [0.76130039]
@@ -1143,7 +1438,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.76130039]
@@ -1151,7 +1454,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.76130039]
@@ -1159,62 +1462,70 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
--------------
--- Configuration: 0303-1010
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 8236960890.90969
--- Energy: 61.00540758755291
--- Workload: 502499000000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
---- Median at position 4 in the list of neghbours, And at position 19 in the X datas point
---------------
- --- Configuration: 3300-0000
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
+--------------
+--- Median at position 4 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (53.38267358149647 mAh) is far from the median.
---- Median :30.277288658122774, the gap is : 10
---- So yes we remove this configuration '0303-0100'
---- remove_aberrant_points: The value [2.0, 0, 1, 0, 0.0, 0, 0, 1, 0, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [1.0, 1, 1, 1, 1.0, 0, 0, 1, 1, 0]
+--- The energy of the current configuration (53.38267358149647 mAh) it is NOT far from the median.
+--- Median :53.38267358149647, the gap is : 10
+--- So No we don't romove this configuration '0303-0100'
+ --- remove_aberrant_points: The value [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 1, 1, 1, 1.0, 0, 1, 1, 0]
--- Computing the list of the 10 first neighbours of '2222-0220'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -1224,60 +1535,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '2222-0220'
--- Neighbour 0 in the list of neghbours, And at position 3 in the X datas point
@@ -1288,31 +1629,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 61 in the X datas point
--------------
- --- Configuration: 2220-0000
+ --- Configuration: 3330-2220
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3029054692.61153
- --- Energy: 30.508250558695604
- --- Workload: 92411200000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 64 in the X datas point
--------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
--- Distance from that configuration: [0.69514393]
@@ -1320,15 +1653,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 20 in the X datas point
---------------
- --- Configuration: 3330-0000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.69514393]
@@ -1336,7 +1661,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 23 in the X datas point
--------------
--- Configuration: 3333-3300
--- Distance from that configuration: [0.69514393]
@@ -1344,64 +1669,72 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 75.09852863759252
--- Workload: 748237000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 39 in the X datas point
--------------
- --- Configuration: 2200-0000
+ --- Configuration: 2220-0000
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 38 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 56 in the X datas point
--------------
- --- Configuration: 1110-0000
+ --- Configuration: 1001-2220
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 2905397356.669485
- --- Energy: 30.668041259477853
- --- Workload: 89102900000.0
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
--------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '2222-0220'
---- Neighbour 0 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 58 in the X datas point
--------------
- --- Configuration: 2200-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2222-0220'
+--- Neighbour 0 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 3029054692.61153
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 38 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 64 in the X datas point
--------------
- --- Configuration: 1110-0000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 2905397356.669485
- --- Energy: 30.668041259477853
- --- Workload: 89102900000.0
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 60 in the X datas point
--------------
- --- Configuration: 3330-0000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 58 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 2002-0100
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
--- Distance from that configuration: [0.69514393]
@@ -1409,7 +1742,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 61 in the X datas point
+--------------
+ --- Configuration: 3330-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
--------------
--- Configuration: 2222-0220
--- Distance from that configuration: [0.69514393]
@@ -1417,7 +1766,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.69514393]
@@ -1425,14 +1774,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 8 in the X datas point
---------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
---------------
--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
--------------
--- Configuration: 3333-3300
@@ -1442,53 +1783,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 748237000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 6 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 12 in the X datas point
--------------
- --- Configuration: 0020-0010
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Configuration: 0022-0030
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (54.74622776577034 mAh) is far from the median.
---- Median :36.82601141845538, the gap is : 10
+--- Median :42.05401520354165, the gap is : 10
--- So yes we remove this configuration '2222-0220'
---- remove_aberrant_points: The value [1.0, 1, 1, 1, 1.0, 0, 0, 1, 1, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0.0, 0, 1, 1, 1, 0]
+--- remove_aberrant_points: The value [1.0, 1, 1, 1, 1, 1.0, 0, 1, 1, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 0.0, 1, 1, 1, 0]
--- Computing the list of the 10 first neighbours of '3000-1110'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -1498,60 +1839,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-1110'
--- Neighbour 0 in the list of neghbours, And at position 4 in the X datas point
@@ -1562,13 +1933,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 14 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 48 in the X datas point
--------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
--------------
--- Neighbour 2 in the list of neghbours, And at position 44 in the X datas point
--------------
@@ -1578,15 +1949,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 49 in the X datas point
--------------
- --- Configuration: 0303-1010
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.76130039]
@@ -1594,7 +1973,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.76130039]
@@ -1602,7 +1981,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
--- Distance from that configuration: [0.76130039]
@@ -1610,7 +1989,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.76130039]
@@ -1618,21 +1997,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 2 in the X datas point
---------------
- --- Configuration: 0303-0100
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0003-1001
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-1110'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
@@ -1646,7 +2017,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1010122436.9405816
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
@@ -1662,7 +2033,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
@@ -1675,7 +2046,31 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
--- Distance from that configuration: [0.76130039]
@@ -1683,37 +2078,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
--------------
- --- Configuration: 0303-0100
+ --- Configuration: 3303-1010
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
---------------
- --- Configuration: 0003-1001
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
---------------
- --- Configuration: 0303-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 45 in the X datas point
@@ -1727,42 +2098,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (49.41467631934382 mAh) is far from the median.
--- Median :36.96583597689362, the gap is : 10
--- So yes we remove this configuration '3000-1110'
---- remove_aberrant_points: The value [2.0, 1, 0, 0, 0.0, 0, 1, 1, 1, 0] is an abberant point. we don't add it
+--- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 0.0, 1, 1, 1, 0] is an abberant point. we don't add it
--- remove_aberrant_points: do we remove value [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0030-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -1772,60 +2143,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0030-0000'
--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
@@ -1860,15 +2261,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.83375292]
@@ -1876,23 +2269,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
---------------
- --- Configuration: 0303-0100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 67 in the X datas point
--------------
- --- Configuration: 0003-1001
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
+ --- Configuration: 0030-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.76130039]
@@ -1900,7 +2285,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.76130039]
@@ -1908,6 +2301,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0030-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -1949,15 +2350,31 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 39 in the X datas point
--------------
- --- Configuration: 3330-0000
+ --- Configuration: 2220-0000
--- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5377240292.736961
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 67 in the X datas point
+--------------
+ --- Configuration: 0030-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 6 in the X datas point
--------------
--- Configuration: 0020-0010
--- Distance from that configuration: [0.76130039]
@@ -1965,22 +2382,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 2 in the X datas point
---------------
- --- Configuration: 0303-0100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 15 in the X datas point
---------------
- --- Configuration: 0003-1001
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
---------------
--- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
@@ -2002,41 +2403,41 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Median :30.277288658122774, the gap is : 10
--- So No we don't romove this configuration '0030-0000'
--- remove_aberrant_points: The value [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0]
+ --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0]
--- Computing the list of the 10 first neighbours of '0020-0010'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -2046,60 +2447,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0020-0010'
--- Neighbour 0 in the list of neghbours, And at position 6 in the X datas point
@@ -2118,13 +2549,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 10 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 64 in the X datas point
--------------
- --- Configuration: 0011-0111
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8964027358.211496
- --- Energy: 50.74428137607953
- --- Workload: 454872000000.0
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
--------------
--- Neighbour 3 in the list of neghbours, And at position 16 in the X datas point
--------------
@@ -2166,21 +2597,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 66 in the X datas point
--------------
- --- Configuration: 0303-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 75 in the X datas point
--------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0020-0010'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
@@ -2202,7 +2633,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 2 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 0.08333333333333333
--- Energy: 29.957415812958512
--- Workload: 0.0
@@ -2231,37 +2662,37 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 75 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 2220-0000
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 10 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 66 in the X datas point
--------------
- --- Configuration: 0011-0111
+ --- Configuration: 0110-0020
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8964027358.211496
- --- Energy: 50.74428137607953
- --- Workload: 454872000000.0
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 64 in the X datas point
--------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 6 in the X datas point
--------------
- --- Configuration: 0303-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 16 in the X datas point
@@ -2275,42 +2706,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (30.299284062105812 mAh) it is NOT far from the median.
--- Median :30.299284062105812, the gap is : 10
--- So No we don't romove this configuration '0020-0010'
- --- remove_aberrant_points: The value [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0.0, 0, 1, 0, 1, 0]
+ --- remove_aberrant_points: The value [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0, 0.0, 1, 0, 1, 0]
--- Computing the list of the 10 first neighbours of '1000-1010'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -2320,60 +2751,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1000-1010'
--- Neighbour 0 in the list of neghbours, And at position 7 in the X datas point
@@ -2408,7 +2869,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -2416,7 +2893,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -2424,7 +2901,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -2432,7 +2909,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.957415812958512
--- Workload: 0.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.76130039]
@@ -2440,24 +2917,8 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 36 in the X datas point
---------------
- --- Configuration: 1100-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
---------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '1000-1010'
---- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '1000-1010'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [1.]
@@ -2489,22 +2950,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
---------------
- --- Configuration: 1100-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
--- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
@@ -2513,15 +2974,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.76130039]
@@ -2529,62 +2982,70 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
--- Neighbour 9 in the list of neghbours, And at position 7 in the X datas point
--------------
--- Configuration: 1000-1010
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6501654671.113798
--- Energy: 42.85376093977719
--- Workload: 278621000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 16 in the X datas point
--------------
- --- Configuration: 1100-0000
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (42.85376093977719 mAh) is far from the median.
---- Median :30.059275323795035, the gap is : 10
+--- Median :30.299284062105812, the gap is : 10
--- So yes we remove this configuration '1000-1010'
---- remove_aberrant_points: The value [0.0, 1, 0, 0, 0.0, 0, 1, 0, 1, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 1.0, 0, 0, 1, 0, 1]
+--- remove_aberrant_points: The value [0.0, 1, 0, 0, 0, 0.0, 1, 0, 1, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 0, 1.0, 0, 1, 0, 1]
--- Computing the list of the 10 first neighbours of '0020-0202'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -2594,60 +3055,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0020-0202'
--- Neighbour 0 in the list of neghbours, And at position 8 in the X datas point
@@ -2658,23 +3149,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 10 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 76 in the X datas point
--------------
- --- Configuration: 0011-0111
+ --- Configuration: 2020-0022
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8964027358.211496
- --- Energy: 50.74428137607953
- --- Workload: 454872000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
--- Distance from that configuration: [0.69514393]
@@ -2682,7 +3165,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 6 in the X datas point
--------------
--- Configuration: 0020-0010
--- Distance from that configuration: [0.69514393]
@@ -2690,7 +3173,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
--- Distance from that configuration: [0.69514393]
@@ -2698,37 +3181,45 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 10 in the X datas point
--------------
- --- Configuration: 0022-0030
+ --- Configuration: 0011-0111
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Energy efficiency: 8964027358.211496
+ --- Energy: 50.74428137607953
+ --- Workload: 454872000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0011-1100
+ --- Configuration: 2000-2200
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 0303-0100
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0020-0202'
--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
@@ -2739,23 +3230,47 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0000-0001
--- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 3998672440.749671
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0022-0030
+ --- Configuration: 0000-2200
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
--- Distance from that configuration: [0.69514393]
@@ -2763,15 +3278,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 10 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 10 in the X datas point
--------------
--- Configuration: 0011-0111
--- Distance from that configuration: [0.69514393]
@@ -2779,86 +3286,70 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 50.74428137607953
--- Workload: 454872000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 76 in the X datas point
--------------
- --- Configuration: 0303-0100
+ --- Configuration: 2020-0022
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
--------------
--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
--------------
--- Configuration: 0020-0202
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 8089829466.394849
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 13 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 0000-2200
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (66.44909360627778 mAh) is far from the median.
---- Median :43.82652071469574, the gap is : 10
+--- Median :42.51731520413714, the gap is : 10
--- So yes we remove this configuration '0020-0202'
---- remove_aberrant_points: The value [1.0, 0, 0, 1, 1.0, 0, 0, 1, 0, 1] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0]
+--- remove_aberrant_points: The value [1.0, 0, 0, 1, 0, 1.0, 0, 1, 0, 1] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '0010-3300'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -2868,60 +3359,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0010-3300'
--- Neighbour 0 in the list of neghbours, And at position 9 in the X datas point
@@ -2956,7 +3477,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 8 in the X datas point
--------------
--- Configuration: 0020-0202
--- Distance from that configuration: [0.69514393]
@@ -2964,64 +3501,64 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0022-0030
+ --- Configuration: 2000-2200
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 0011-1100
+ --- Configuration: 0001-0200
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 12 in the X datas point
--------------
- --- Configuration: 0033-3000
+ --- Configuration: 0022-0030
--- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
--------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0010-3300'
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
--------------
---- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
---------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0010-3300'
---- Neighbour 0 in the list of neghbours, And at position 24 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 24 in the X datas point
--------------
--- Configuration: 0000-3000
- --- Distance from that configuration: [1.]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 3307720550.5370083
--- Energy: 35.59789292409111
--- Workload: 117748000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 7249844128.351241
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 25 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 25 in the X datas point
--------------
--- Configuration: 0000-3300
--- Distance from that configuration: [0.83375292]
@@ -3029,23 +3566,31 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05795824330537
--- Workload: 243499000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6532788063.289651
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 26 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 26 in the X datas point
--------------
--- Configuration: 0000-3330
--- Distance from that configuration: [0.69514393]
@@ -3053,86 +3598,62 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
--------------
--- Configuration: 0020-0202
- --- Distance from that configuration: [0.57957828]
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 8089829466.394849
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
---------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
--------------
+--- Median at position 4 in the list of neghbours, And at position 25 in the X datas point
--------------
---- Median at position 4 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 0000-3300
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (43.82652071469574 mAh) it is NOT far from the median.
---- Median :43.82652071469574, the gap is : 10
+--- The energy of the current configuration (42.05795824330537 mAh) it is NOT far from the median.
+--- Median :42.05795824330537, the gap is : 10
--- So No we don't romove this configuration '0010-3300'
- --- remove_aberrant_points: The value [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 0.0, 0, 0, 1, 1, 1]
+ --- remove_aberrant_points: The value [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 1, 0.0, 0, 1, 1, 1]
--- Computing the list of the 10 first neighbours of '0011-0111'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -3142,60 +3663,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0011-0111'
--- Neighbour 0 in the list of neghbours, And at position 10 in the X datas point
@@ -3206,53 +3757,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 50.74428137607953
--- Workload: 454872000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 13 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 74 in the X datas point
+--------------
+ --- Configuration: 1111-0101
--- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9080672696.233337
+ --- Energy: 45.44863666563364
+ --- Workload: 412706000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 3998672440.749671
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 8 in the X datas point
--------------
--- Configuration: 0020-0202
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 8089829466.394849
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
---------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 0000-0000
+ --- Configuration: 0000-0001
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.027102694886654
- --- Workload: 0.0
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 0000-0000
+ --- Configuration: 0001-0200
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 29.957415812958512
- --- Workload: 0.0
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
--- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
--------------
@@ -3262,48 +3813,32 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 33 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 16 in the X datas point
--------------
- --- Configuration: 1000-0000
+ --- Configuration: 0000-0000
--- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 997516184.7000968
- --- Energy: 29.543907709942122
- --- Workload: 29470600000.0
---------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0011-0111'
---- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
---------------
- --- Configuration: 1000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 997516184.7000968
- --- Energy: 29.543907709942122
- --- Workload: 29470600000.0
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 0.08333333333333333
- --- Energy: 29.957415812958512
+ --- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 17 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0011-0111'
+--- Neighbour 0 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -3311,6 +3846,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
+--- Neighbour 2 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
--- Neighbour 4 in the list of neghbours, And at position 6 in the X datas point
--------------
--- Configuration: 0020-0010
@@ -3319,15 +3870,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 13 in the X datas point
--------------
--- Configuration: 0011-1100
--- Distance from that configuration: [0.69514393]
@@ -3335,6 +3878,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 43.82652071469574
--- Workload: 335276000000.0
--------------
+--- Neighbour 6 in the list of neghbours, And at position 74 in the X datas point
+--------------
+ --- Configuration: 1111-0101
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9080672696.233337
+ --- Energy: 45.44863666563364
+ --- Workload: 412706000000.0
+--------------
--- Neighbour 7 in the list of neghbours, And at position 10 in the X datas point
--------------
--- Configuration: 0011-0111
@@ -3371,42 +3922,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (50.74428137607953 mAh) is far from the median.
--- Median :36.82601141845538, the gap is : 10
--- So yes we remove this configuration '0011-0111'
---- remove_aberrant_points: The value [0.0, 0, 0, 1, 0.0, 0, 0, 1, 1, 1] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0.0, 0, 0, 0, 0, 1]
+--- remove_aberrant_points: The value [0.0, 0, 0, 1, 1, 0.0, 0, 1, 1, 1] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1]
--- Computing the list of the 10 first neighbours of '3303-0001'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -3416,60 +3967,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3303-0001'
--- Neighbour 0 in the list of neghbours, And at position 11 in the X datas point
@@ -3483,28 +4064,12 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 20 in the X datas point
---------------
- --- Configuration: 3330-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.83375292]
@@ -3512,31 +4077,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 73 in the X datas point
--------------
- --- Configuration: 2200-0000
+ --- Configuration: 3003-0002
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
---------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 2 in the X datas point
--------------
--- Configuration: 0303-0100
--- Distance from that configuration: [0.76130039]
@@ -3544,7 +4093,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 14 in the X datas point
--------------
--- Configuration: 3303-1010
--- Distance from that configuration: [0.76130039]
@@ -3552,6 +4101,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 67.3857084084629
--- Workload: 629393000000.0
--------------
+--- Neighbour 6 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3303-0001'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
--------------
@@ -3564,20 +4145,12 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1010122436.9405816
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 37 in the X datas point
---------------
- --- Configuration: 2200-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.83375292]
@@ -3585,7 +4158,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -3593,31 +4166,31 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
---------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 2 in the X datas point
--------------
--- Configuration: 0303-0100
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6956231392.081026
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8296551953.00833
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.76130039]
@@ -3625,6 +4198,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 73 in the X datas point
+--------------
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
--------------
--- Configuration: 3303-1010
@@ -3634,53 +4215,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 629393000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 20 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 2 in the X datas point
--------------
- --- Configuration: 3330-0000
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Configuration: 0303-0100
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (59.94594005320708 mAh) is far from the median.
---- Median :32.51205394198035, the gap is : 10
---- So yes we remove this configuration '3303-0001'
---- remove_aberrant_points: The value [2.0, 1, 1, 0, 0.0, 0, 0, 0, 0, 1] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0]
+--- The energy of the current configuration (53.38267358149647 mAh) it is NOT far from the median.
+--- Median :53.38267358149647, the gap is : 10
+--- So No we don't romove this configuration '3303-0001'
+ --- remove_aberrant_points: The value [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0]
--- Computing the list of the 10 first neighbours of '0022-0030'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -3690,60 +4271,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0022-0030'
--- Neighbour 0 in the list of neghbours, And at position 12 in the X datas point
@@ -3762,7 +4373,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.35616382684589
--- Workload: 371205000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 3 in the X datas point
--------------
--- Configuration: 2222-0220
--- Distance from that configuration: [0.69514393]
@@ -3770,47 +4389,47 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 66 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
--- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 3998672440.749671
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 8 in the X datas point
--------------
--- Configuration: 0020-0202
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 8089829466.394849
--- Energy: 66.44909360627778
--- Workload: 537560000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 6532788063.289651
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 24 in the X datas point
---------------
- --- Configuration: 0000-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 3307720550.5370083
- --- Energy: 35.59789292409111
- --- Workload: 117748000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 26 in the X datas point
---------------
- --- Configuration: 0000-3330
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7665772326.561901
- --- Energy: 48.682465076838824
- --- Workload: 373189000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 22 in the X datas point
--------------
--- Configuration: 3333-3000
--- Distance from that configuration: [0.63473642]
@@ -3818,24 +4437,24 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 25 in the X datas point
---------------
- --- Configuration: 0000-3300
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 5789616901.049658
- --- Energy: 42.05795824330537
- --- Workload: 243499000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0022-0030'
---- Neighbour 0 in the list of neghbours, And at position 24 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 66 in the X datas point
--------------
- --- Configuration: 0000-3000
+ --- Configuration: 0110-0020
--- Distance from that configuration: [1.]
- --- Energy efficiency: 3307720550.5370083
- --- Energy: 35.59789292409111
- --- Workload: 117748000000.0
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 6 in the X datas point
--------------
--- Configuration: 0020-0010
--- Distance from that configuration: [0.76130039]
@@ -3843,7 +4462,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.82601141845538
--- Workload: 147255000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 12 in the X datas point
--------------
--- Configuration: 0022-0030
--- Distance from that configuration: [0.69514393]
@@ -3851,14 +4470,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05401520354165
--- Workload: 304885000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 25 in the X datas point
---------------
- --- Configuration: 0000-3300
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 5789616901.049658
- --- Energy: 42.05795824330537
- --- Workload: 243499000000.0
---------------
--- Neighbour 4 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
@@ -3867,15 +4478,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 26 in the X datas point
---------------
- --- Configuration: 0000-3330
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7665772326.561901
- --- Energy: 48.682465076838824
- --- Workload: 373189000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 1 in the X datas point
--------------
--- Configuration: 0033-3000
--- Distance from that configuration: [0.69514393]
@@ -3883,14 +4486,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.35616382684589
--- Workload: 371205000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 3 in the X datas point
--------------
--- Configuration: 2222-0220
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.63473642]
--- Energy efficiency: 11285968381.230984
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
+--- Neighbour 7 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
+ --- Distance from that configuration: [0.63473642]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
--- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
--------------
--- Configuration: 3333-3000
@@ -3919,42 +4530,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (42.64544340651106 mAh) it is NOT far from the median.
--- Median :42.64544340651106, the gap is : 10
--- So No we don't romove this configuration '0022-0030'
- --- remove_aberrant_points: The value [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0]
+ --- remove_aberrant_points: The value [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '0011-1100'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -3964,60 +4575,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0011-1100'
--- Neighbour 0 in the list of neghbours, And at position 13 in the X datas point
@@ -4036,70 +4677,70 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 50.74428137607953
--- Workload: 454872000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 50 in the X datas point
--------------
- --- Configuration: 0000-0000
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
--- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 0.08333333333333333
--- Energy: 29.957415812958512
--- Workload: 0.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 4062233415.93208
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 8 in the X datas point
---------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 9 in the X datas point
---------------
- --- Configuration: 0010-3300
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6532788063.289651
- --- Energy: 42.64544340651106
- --- Workload: 278594000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0011-1100'
--- Neighbour 0 in the list of neghbours, And at position 32 in the X datas point
--------------
@@ -4125,15 +4766,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0000-1000
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.76130039]
@@ -4141,23 +4790,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0010-3300
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6532788063.289651
- --- Energy: 42.64544340651106
- --- Workload: 278594000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
--------------
- --- Configuration: 1000-1010
+ --- Configuration: 1000-1100
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 13 in the X datas point
--------------
--- Configuration: 0011-1100
--- Distance from that configuration: [0.69514393]
@@ -4165,7 +4814,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 43.82652071469574
--- Workload: 335276000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 10 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 10 in the X datas point
--------------
--- Configuration: 0011-0111
--- Distance from that configuration: [0.69514393]
@@ -4173,62 +4822,54 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 50.74428137607953
--- Workload: 454872000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
---------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
---------------
--------------
---- Median at position 4 in the list of neghbours, And at position 46 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 1000-1000
- --- Energy efficiency: 4062233415.93208
- --- Energy: 36.86022362180361
- --- Workload: 149735000000.0
+ --- Configuration: 0001-0200
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (36.86022362180361 mAh) it is NOT far from the median.
---- Median :36.86022362180361, the gap is : 10
+--- The energy of the current configuration (36.59285860316189 mAh) it is NOT far from the median.
+--- Median :36.59285860316189, the gap is : 10
--- So No we don't romove this configuration '0011-1100'
- --- remove_aberrant_points: The value [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0.0, 0, 1, 0, 1, 0]
+ --- remove_aberrant_points: The value [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 1, 0.0, 1, 0, 1, 0]
--- Computing the list of the 10 first neighbours of '3303-1010'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -4238,60 +4879,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3303-1010'
--- Neighbour 0 in the list of neghbours, And at position 14 in the X datas point
@@ -4313,101 +4984,85 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 2 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 65 in the X datas point
--------------
- --- Configuration: 3000-1110
+ --- Configuration: 0303-1000
--- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8096707069.234942
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5026691733.102776
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5326600510.288329
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 20 in the X datas point
---------------
- --- Configuration: 3330-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3303-1010'
---- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 20 in the X datas point
---------------
- --- Configuration: 3330-0000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5326600510.288329
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
--- Distance from that configuration: [0.83375292]
@@ -4415,7 +5070,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -4423,14 +5078,30 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8096707069.234942
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
+--- Neighbour 5 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
@@ -4456,53 +5127,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 629393000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 40 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 4 in the X datas point
--------------
- --- Configuration: 3300-1000
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Configuration: 3000-1110
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (67.3857084084629 mAh) is far from the median.
---- Median :36.78276420172299, the gap is : 10
+--- Median :49.41467631934382, the gap is : 10
--- So yes we remove this configuration '3303-1010'
---- remove_aberrant_points: The value [2.0, 1, 1, 0, 0.0, 0, 1, 0, 1, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 0, 0, 0, 0.0, 0, 1, 0, 0, 1]
+--- remove_aberrant_points: The value [2.0, 1, 1, 0, 1, 0.0, 1, 0, 1, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1]
--- Computing the list of the 10 first neighbours of '0003-1001'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -4512,60 +5183,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0003-1001'
--- Neighbour 0 in the list of neghbours, And at position 15 in the X datas point
@@ -4576,15 +5277,39 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.44253148500697
--- Workload: 370545000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 65 in the X datas point
--------------
- --- Configuration: 3000-1000
+ --- Configuration: 0303-1000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5326600510.288329
- --- Energy: 36.46450751429702
- --- Workload: 194232000000.0
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 0 in the X datas point
--------------
--- Configuration: 0303-1010
--- Distance from that configuration: [0.76130039]
@@ -4592,15 +5317,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 61.00540758755291
--- Workload: 502499000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 5 in the X datas point
---------------
- --- Configuration: 0030-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 994906080.8659663
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.76130039]
@@ -4608,37 +5325,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 35 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 44 in the X datas point
--------------
- --- Configuration: 3300-1000
+ --- Configuration: 3000-1000
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 73 in the X datas point
--------------
- --- Configuration: 3000-2000
+ --- Configuration: 3003-0002
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4059018123.5159216
- --- Energy: 36.96583597689362
- --- Workload: 150045000000.0
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
--------------
--- Neighbour 9 in the list of neghbours, And at position 2 in the X datas point
--------------
@@ -4649,63 +5350,47 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 371343000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0003-1001'
---- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1016987763.6032282
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
---------------
---- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 5 in the X datas point
---------------
- --- Configuration: 0030-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 994906080.8659663
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 5326600510.288329
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 68 in the X datas point
--------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 70 in the X datas point
--------------
- --- Configuration: 3000-2000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4059018123.5159216
- --- Energy: 36.96583597689362
- --- Workload: 150045000000.0
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 2 in the X datas point
--------------
--- Configuration: 0303-0100
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 6956231392.081026
--- Energy: 53.38267358149647
--- Workload: 371343000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 15 in the X datas point
--------------
--- Configuration: 0003-1001
--- Distance from that configuration: [0.76130039]
@@ -4713,7 +5398,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.44253148500697
--- Workload: 370545000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.76130039]
@@ -4721,62 +5406,78 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 0 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 0 in the X datas point
--------------
--- Configuration: 0303-1010
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8236960890.90969
--- Energy: 61.00540758755291
--- Workload: 502499000000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 73 in the X datas point
--------------
---- Median at position 4 in the list of neghbours, And at position 40 in the X datas point
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
--------------
- --- Configuration: 3300-1000
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+--------------
+--- Median at position 4 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (54.44253148500697 mAh) is far from the median.
---- Median :36.78276420172299, the gap is : 10
---- So yes we remove this configuration '0003-1001'
---- remove_aberrant_points: The value [2.0, 0, 0, 0, 0.0, 0, 1, 0, 0, 1] is an abberant point. we don't add it
+--- The energy of the current configuration (53.6166443408558 mAh) it is NOT far from the median.
+--- Median :53.6166443408558, the gap is : 10
+--- So No we don't romove this configuration '0003-1001'
+ --- remove_aberrant_points: The value [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1] is not an abberant point.
--- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -4786,60 +5487,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-0000'
--- Neighbour 0 in the list of neghbours, And at position 16 in the X datas point
@@ -4874,7 +5605,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -4882,7 +5629,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.83375292]
@@ -4890,7 +5637,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.83375292]
@@ -4898,29 +5645,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
@@ -4958,7 +5689,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 2018619748.5607243
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
@@ -4966,42 +5697,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 1000-1000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4062233415.93208
- --- Energy: 36.86022362180361
- --- Workload: 149735000000.0
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
@@ -5019,38 +5750,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -5060,60 +5791,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-0000'
--- Neighbour 0 in the list of neghbours, And at position 16 in the X datas point
@@ -5148,7 +5909,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -5156,7 +5933,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.83375292]
@@ -5164,7 +5941,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.83375292]
@@ -5172,32 +5949,16 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
---- Ordered by energy, Printing the list of the 10 first neighbours of '0000-0000'
---- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-0000'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [1.]
@@ -5232,7 +5993,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 2018619748.5607243
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
@@ -5240,42 +6001,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 1000-1000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4062233415.93208
- --- Energy: 36.86022362180361
- --- Workload: 149735000000.0
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
@@ -5293,38 +6054,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -5334,60 +6095,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-0000'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
@@ -5438,15 +6229,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -5454,15 +6237,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.83375292]
@@ -5470,6 +6245,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -5535,21 +6326,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
--------------
- --- Configuration: 3333-0000
+ --- Configuration: 3300-1000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
--------------
- --- Configuration: 3303-0001
+ --- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 37 in the X datas point
@@ -5567,38 +6358,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3300-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -5608,60 +6399,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3300-0000'
--- Neighbour 0 in the list of neghbours, And at position 19 in the X datas point
@@ -5672,15 +6493,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.91310072]
@@ -5688,7 +6501,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.91310072]
@@ -5696,15 +6509,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.91310072]
@@ -5712,7 +6517,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.91310072]
@@ -5720,7 +6525,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
--- Distance from that configuration: [0.91310072]
@@ -5728,32 +6533,56 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 2 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
--------------
- --- Configuration: 0303-0100
+ --- Configuration: 3303-0001
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
--------------
- --- Configuration: 3303-1010
+ --- Configuration: 3333-0000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3300-0000'
---- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
- --- Configuration: 3000-0000
+ --- Configuration: 2000-0000
--- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1016987763.6032282
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.91310072]
@@ -5761,7 +6590,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.91310072]
@@ -5769,7 +6598,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.91310072]
@@ -5777,39 +6606,39 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 39 in the X datas point
--------------
- --- Configuration: 3330-0000
+ --- Configuration: 2220-0000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
---------------
- --- Configuration: 0303-0100
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 6956231392.081026
- --- Energy: 53.38267358149647
- --- Workload: 371343000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 8296551953.00833
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
--- Distance from that configuration: [0.83375292]
@@ -5817,62 +6646,54 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
--------------
---- Median at position 4 in the list of neghbours, And at position 20 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 19 in the X datas point
--------------
- --- Configuration: 3330-0000
- --- Energy efficiency: 5377240292.736961
- --- Energy: 32.51205394198035
- --- Workload: 174825000000.0
+ --- Configuration: 3300-0000
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (32.51205394198035 mAh) it is NOT far from the median.
---- Median :32.51205394198035, the gap is : 10
+--- The energy of the current configuration (30.277288658122774 mAh) it is NOT far from the median.
+--- Median :30.277288658122774, the gap is : 10
--- So No we don't romove this configuration '3300-0000'
--- remove_aberrant_points: The value [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0] is not an abberant point.
--- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3330-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -5882,60 +6703,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3330-0000'
--- Neighbour 0 in the list of neghbours, And at position 20 in the X datas point
@@ -5946,15 +6797,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.91310072]
@@ -5962,6 +6805,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
+--- Neighbour 2 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
--- Neighbour 3 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
@@ -5970,7 +6821,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
--- Distance from that configuration: [0.83375292]
@@ -5978,14 +6837,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
--- Neighbour 6 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
@@ -6030,7 +6881,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
- --- Distance from that configuration: [1.]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1010122436.9405816
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
@@ -6054,7 +6905,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
@@ -6067,7 +6918,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -6075,7 +6934,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
--- Distance from that configuration: [0.83375292]
@@ -6083,7 +6942,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
--- Distance from that configuration: [0.83375292]
@@ -6091,14 +6950,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
--------------
--- Median at position 4 in the list of neghbours, And at position 19 in the X datas point
--------------
@@ -6112,41 +6963,41 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Median :30.277288658122774, the gap is : 10
--- So No we don't romove this configuration '3330-0000'
--- remove_aberrant_points: The value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 1, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3333-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -6156,142 +7007,172 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3333-0000'
---- Neighbour 0 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 21 in the X datas point
--------------
- --- Configuration: 3330-0000
+ --- Configuration: 3333-0000
--- Distance from that configuration: [1.]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5377240292.736961
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 11 in the X datas point
--------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1980229389.772511
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 3029054692.61153
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 75 in the X datas point
--------------
- --- Configuration: 0030-0000
+ --- Configuration: 2220-0000
--- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 994906080.8659663
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 14 in the X datas point
--------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 1016987763.6032282
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 35 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 37 in the X datas point
---------------
- --- Configuration: 2200-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 40 in the X datas point
---------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3333-0000'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
--------------
@@ -6301,15 +7182,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
---------------
- --- Configuration: 3000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 29.239529117166907
- --- Workload: 29535500000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 5 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
--- Distance from that configuration: [0.91310072]
@@ -6317,15 +7190,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
---------------
- --- Configuration: 2200-0000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.83375292]
@@ -6333,7 +7198,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
--- Distance from that configuration: [0.83375292]
@@ -6341,7 +7206,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -6349,78 +7222,86 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 2 in the X datas point
--------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8296551953.00833
--- Energy: 59.045602086542516
--- Workload: 489874000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
--------------
--- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8321129010.784183
--- Energy: 59.94594005320708
--- Workload: 498819000000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
--------------
---- Median at position 4 in the list of neghbours, And at position 19 in the X datas point
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
- --- Configuration: 3300-0000
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
+--------------
+--- Median at position 4 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (59.045602086542516 mAh) is far from the median.
---- Median :30.277288658122774, the gap is : 10
+--- Median :30.63396781022152, the gap is : 10
--- So yes we remove this configuration '3333-0000'
---- remove_aberrant_points: The value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]
+--- remove_aberrant_points: The value [2.0, 1, 1, 1, 1, 0, 0, 0, 0, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 1, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3333-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -6430,60 +7311,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3333-3000'
--- Neighbour 0 in the list of neghbours, And at position 22 in the X datas point
@@ -6494,15 +7405,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 28 in the X datas point
---------------
- --- Configuration: 3330-3000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 23 in the X datas point
--------------
--- Configuration: 3333-3300
--- Distance from that configuration: [0.91310072]
@@ -6510,15 +7413,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 75.09852863759252
--- Workload: 748237000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
--------------
- --- Configuration: 3300-3000
+ --- Configuration: 3330-3000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 5072151352.996373
- --- Energy: 36.711179058531826
- --- Workload: 186205000000.0
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 1 in the X datas point
--------------
--- Configuration: 0033-3000
--- Distance from that configuration: [0.83375292]
@@ -6526,10 +7429,18 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 53.35616382684589
--- Workload: 371205000000.0
--------------
+--- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
+--------------
+ --- Configuration: 3300-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5072151352.996373
+ --- Energy: 36.711179058531826
+ --- Workload: 186205000000.0
+--------------
--- Neighbour 5 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 4149980287.5936337
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
@@ -6537,7 +7448,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5026691733.102776
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
@@ -6545,7 +7456,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 7 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
@@ -6553,7 +7464,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 8 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 5035525633.343237
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
@@ -6561,7 +7472,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
@@ -6578,7 +7489,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
- --- Distance from that configuration: [1.]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
@@ -6594,7 +7505,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
@@ -6610,7 +7521,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 5 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5822958761.806049
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
@@ -6618,7 +7529,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
@@ -6626,7 +7537,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
--------------
--- Configuration: 0033-3000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6957102505.948323
--- Energy: 53.35616382684589
--- Workload: 371205000000.0
@@ -6634,7 +7545,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
--------------
--- Configuration: 3333-3000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 9400881802.713095
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
@@ -6642,7 +7553,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
--------------
--- Configuration: 3333-3300
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 9963434196.49885
--- Energy: 75.09852863759252
--- Workload: 748237000000.0
@@ -6659,42 +7570,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (66.34289826476824 mAh) is far from the median.
--- Median :36.9852979298838, the gap is : 10
--- So yes we remove this configuration '3333-3000'
---- remove_aberrant_points: The value [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 2.0, 0, 1, 1, 0, 0]
+--- remove_aberrant_points: The value [2.0, 1, 1, 1, 1, 2.0, 1, 0, 0, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 1, 2.0, 1, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '3333-3300'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -6704,60 +7615,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3333-3300'
--- Neighbour 0 in the list of neghbours, And at position 23 in the X datas point
@@ -6779,60 +7720,52 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5822958761.806049
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 1 in the X datas point
+--------------
+ --- Configuration: 0033-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6957102505.948323
+ --- Energy: 53.35616382684589
+ --- Workload: 371205000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 29 in the X datas point
---------------
- --- Configuration: 3000-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4149980287.5936337
- --- Energy: 36.1860248822606
- --- Workload: 150171000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 3000-3330
+ --- Configuration: 3000-3300
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 61 in the X datas point
--------------
- --- Configuration: 3300-2000
+ --- Configuration: 3330-2220
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
--------------
--- Configuration: 2222-0220
--- Distance from that configuration: [0.69514393]
@@ -6840,6 +7773,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 54.74622776577034
--- Workload: 617864000000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3333-3300'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
--------------
@@ -6857,15 +7798,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 41 in the X datas point
---------------
- --- Configuration: 3300-2000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
---------------
---- Neighbour 3 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.83375292]
@@ -6873,21 +7806,29 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 3000-3330
+ --- Configuration: 3000-3300
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 61 in the X datas point
+--------------
+ --- Configuration: 3330-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
--------------
--- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
--------------
@@ -6908,7 +7849,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
--------------
--- Configuration: 3333-3000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 9400881802.713095
--- Energy: 66.34289826476824
--- Workload: 623684000000.0
@@ -6922,53 +7863,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 748237000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 30 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 52 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Energy efficiency: 6611133148.221605
- --- Energy: 42.19510352720739
- --- Workload: 278957000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
--- Comparing the median energy with the energy of that data point
--- The energy of the current configuration (75.09852863759252 mAh) is far from the median.
---- Median :42.19510352720739, the gap is : 10
+--- Median :42.474892742303716, the gap is : 10
--- So yes we remove this configuration '3333-3300'
---- remove_aberrant_points: The value [2.0, 1, 1, 1, 2.0, 0, 1, 1, 0, 0] is an abberant point. we don't add it
- --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0]
+--- remove_aberrant_points: The value [2.0, 1, 1, 1, 1, 2.0, 1, 1, 0, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0000-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -6978,60 +7919,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-3000'
--- Neighbour 0 in the list of neghbours, And at position 24 in the X datas point
@@ -7050,7 +8021,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05795824330537
--- Workload: 243499000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
--- Distance from that configuration: [0.83375292]
@@ -7058,7 +8037,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 26 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 26 in the X datas point
--------------
--- Configuration: 0000-3330
--- Distance from that configuration: [0.83375292]
@@ -7066,15 +8045,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0022-0030
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
--- Distance from that configuration: [0.69514393]
@@ -7082,119 +8069,103 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 16 in the X datas point
---------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.027102694886654
- --- Workload: 0.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 3000-3000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 4149980287.5936337
- --- Energy: 36.1860248822606
- --- Workload: 150171000000.0
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-3000'
---- Neighbour 0 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0000-0000
+ --- Configuration: 0000-2000
--- Distance from that configuration: [1.]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.027102694886654
- --- Workload: 0.0
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 0000-0000
+ --- Configuration: 0000-1000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
--- Neighbour 2 in the list of neghbours, And at position 24 in the X datas point
--------------
--- Configuration: 0000-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 3307720550.5370083
--- Energy: 35.59789292409111
--- Workload: 117748000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 3000-3000
+ --- Configuration: 2000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 4149980287.5936337
- --- Energy: 36.1860248822606
- --- Workload: 150171000000.0
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
--------------
--- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5035525633.343237
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
---------------
- --- Configuration: 0022-0030
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 25 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 25 in the X datas point
--------------
--- Configuration: 0000-3300
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5789616901.049658
--- Energy: 42.05795824330537
--- Workload: 243499000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 6532788063.289651
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 26 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 26 in the X datas point
--------------
--- Configuration: 0000-3330
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 7665772326.561901
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
--------------
--- Median at position 4 in the list of neghbours, And at position 43 in the X datas point
--------------
@@ -7207,42 +8178,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (36.93355197432356 mAh) it is NOT far from the median.
--- Median :36.93355197432356, the gap is : 10
--- So No we don't romove this configuration '0000-3000'
- --- remove_aberrant_points: The value [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0]
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '0000-3300'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -7252,60 +8223,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-3300'
--- Neighbour 0 in the list of neghbours, And at position 25 in the X datas point
@@ -7340,80 +8341,88 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0022-0030
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 3000-3300
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6611133148.221605
- --- Energy: 42.19510352720739
- --- Workload: 278957000000.0
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 2200-2000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 5035525633.343237
- --- Energy: 36.93355197432356
- --- Workload: 185980000000.0
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
--------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-3300'
---- Neighbour 0 in the list of neghbours, And at position 24 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0000-3000
+ --- Configuration: 0000-2000
--- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 3307720550.5370083
--- Energy: 35.59789292409111
--- Workload: 117748000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 2200-2000
+ --- Configuration: 2000-2000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 5035525633.343237
- --- Energy: 36.93355197432356
- --- Workload: 185980000000.0
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 0022-0030
+ --- Configuration: 0001-0200
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 25 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 25 in the X datas point
--------------
--- Configuration: 0000-3300
--- Distance from that configuration: [0.91310072]
@@ -7421,102 +8430,94 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05795824330537
--- Workload: 243499000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 3000-3300
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6611133148.221605
- --- Energy: 42.19510352720739
- --- Workload: 278957000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 9 in the X datas point
--------------
--- Configuration: 0010-3300
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6532788063.289651
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 26 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 26 in the X datas point
--------------
--- Configuration: 0000-3330
- --- Distance from that configuration: [0.63473642]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 7665772326.561901
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
--------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 30 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 25 in the X datas point
--------------
- --- Configuration: 3000-3300
- --- Energy efficiency: 6611133148.221605
- --- Energy: 42.19510352720739
- --- Workload: 278957000000.0
+ --- Configuration: 0000-3300
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (42.19510352720739 mAh) it is NOT far from the median.
---- Median :42.19510352720739, the gap is : 10
+--- The energy of the current configuration (42.05795824330537 mAh) it is NOT far from the median.
+--- Median :42.05795824330537, the gap is : 10
--- So No we don't romove this configuration '0000-3300'
- --- remove_aberrant_points: The value [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0]
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0]
--- Computing the list of the 10 first neighbours of '0000-3330'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -7526,60 +8527,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-3330'
--- Neighbour 0 in the list of neghbours, And at position 26 in the X datas point
@@ -7614,72 +8645,80 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 35.59789292409111
--- Workload: 117748000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0022-0030
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 3000-3330
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 3 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 56 in the X datas point
--------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 69 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-3330'
---- Neighbour 0 in the list of neghbours, And at position 24 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0000-3000
+ --- Configuration: 0000-2000
--- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 3307720550.5370083
--- Energy: 35.59789292409111
--- Workload: 117748000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 12 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 63 in the X datas point
--------------
- --- Configuration: 0022-0030
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 7249844128.351241
- --- Energy: 42.05401520354165
- --- Workload: 304885000000.0
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 25 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 25 in the X datas point
--------------
--- Configuration: 0000-3300
--- Distance from that configuration: [0.83375292]
@@ -7687,110 +8726,102 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.05795824330537
--- Workload: 243499000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 9 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 0010-3300
+ --- Configuration: 0000-2200
--- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 9 in the X datas point
+--------------
+ --- Configuration: 0010-3300
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6532788063.289651
--- Energy: 42.64544340651106
--- Workload: 278594000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 69 in the X datas point
--------------
- --- Configuration: 1000-1010
+ --- Configuration: 0101-2020
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.63473642]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 26 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 26 in the X datas point
--------------
--- Configuration: 0000-3330
- --- Distance from that configuration: [0.57957828]
+ --- Distance from that configuration: [0.69514393]
--- Energy efficiency: 7665772326.561901
--- Energy: 48.682465076838824
--- Workload: 373189000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 31 in the X datas point
---------------
- --- Configuration: 3000-3330
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
--------------
- --- Configuration: 0020-0202
- --- Distance from that configuration: [0.57957828]
- --- Energy efficiency: 8089829466.394849
- --- Energy: 66.44909360627778
- --- Workload: 537560000000.0
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 7 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 55 in the X datas point
--------------
- --- Configuration: 1000-1010
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Configuration: 0000-2200
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (42.85376093977719 mAh) it is NOT far from the median.
---- Median :42.85376093977719, the gap is : 10
+--- The energy of the current configuration (42.51731520413714 mAh) it is NOT far from the median.
+--- Median :42.51731520413714, the gap is : 10
--- So No we don't romove this configuration '0000-3330'
- --- remove_aberrant_points: The value [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3300-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -7800,60 +8831,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3300-3000'
--- Neighbour 0 in the list of neghbours, And at position 27 in the X datas point
@@ -7864,15 +8925,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.91310072]
@@ -7880,7 +8933,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
--- Distance from that configuration: [0.91310072]
@@ -7888,7 +8941,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.91310072]
@@ -7896,15 +8949,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 22 in the X datas point
--------------
- --- Configuration: 3333-3300
+ --- Configuration: 3333-3000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Energy efficiency: 9400881802.713095
+ --- Energy: 66.34289826476824
+ --- Workload: 623684000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
@@ -7912,7 +8965,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
--- Distance from that configuration: [0.83375292]
@@ -7920,7 +8973,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
@@ -7928,13 +8981,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 0033-3000
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+--------------
+ --- Configuration: 3333-3300
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3300-3000'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
@@ -7972,7 +9033,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 4 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5026691733.102776
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
@@ -7993,13 +9054,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 0033-3000
+ --- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
--- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
--------------
@@ -8029,42 +9090,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (36.9852979298838 mAh) it is NOT far from the median.
--- Median :36.9852979298838, the gap is : 10
--- So No we don't romove this configuration '3300-3000'
- --- remove_aberrant_points: The value [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3330-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -8074,71 +9135,93 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3330-3000'
---- Neighbour 0 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 1 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [1.]
@@ -8146,15 +9229,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 22 in the X datas point
--------------
- --- Configuration: 3333-3300
+ --- Configuration: 3333-3000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Energy efficiency: 9400881802.713095
+ --- Energy: 66.34289826476824
+ --- Workload: 623684000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.91310072]
@@ -8162,15 +9245,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 23 in the X datas point
--------------
- --- Configuration: 0033-3000
+ --- Configuration: 3333-3300
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
--- Distance from that configuration: [0.83375292]
@@ -8178,7 +9261,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -8186,6 +9269,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
+--- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
+--------------
+ --- Configuration: 0033-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6957102505.948323
+ --- Energy: 53.35616382684589
+ --- Workload: 371205000000.0
+--------------
--- Neighbour 7 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
@@ -8222,7 +9313,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
- --- Distance from that configuration: [1.]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
@@ -8238,7 +9329,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
@@ -8262,7 +9353,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
@@ -8303,42 +9394,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (36.9852979298838 mAh) it is NOT far from the median.
--- Median :36.9852979298838, the gap is : 10
--- So No we don't romove this configuration '3330-3000'
- --- remove_aberrant_points: The value [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-3000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -8348,60 +9439,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-3000'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
@@ -8436,23 +9557,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.83375292]
@@ -8460,7 +9573,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 31 in the X datas point
--------------
--- Configuration: 3000-3330
--- Distance from that configuration: [0.83375292]
@@ -8468,7 +9581,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.410116578739654
--- Workload: 406369000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -8476,13 +9589,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-3000'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
@@ -8493,7 +9614,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.91310072]
@@ -8501,7 +9630,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.91310072]
@@ -8509,7 +9638,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.91310072]
@@ -8517,7 +9646,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.83375292]
@@ -8525,7 +9654,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
@@ -8533,86 +9662,78 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 3000-3330
+ --- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 49 in the X datas point
--------------
- --- Configuration: 0033-3000
+ --- Configuration: 3000-2200
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 31 in the X datas point
--------------
- --- Configuration: 3333-3000
+ --- Configuration: 3000-3330
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
---------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 28 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 41 in the X datas point
--------------
- --- Configuration: 3330-3000
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
+ --- Configuration: 3300-2000
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (37.40635012737015 mAh) it is NOT far from the median.
---- Median :37.40635012737015, the gap is : 10
+--- The energy of the current configuration (36.9852979298838 mAh) it is NOT far from the median.
+--- Median :36.9852979298838, the gap is : 10
--- So No we don't romove this configuration '3000-3000'
- --- remove_aberrant_points: The value [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-3300'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -8622,60 +9743,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-3300'
--- Neighbour 0 in the list of neghbours, And at position 30 in the X datas point
@@ -8686,7 +9837,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
--- Distance from that configuration: [0.91310072]
@@ -8694,7 +9853,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 31 in the X datas point
--------------
--- Configuration: 3000-3330
--- Distance from that configuration: [0.91310072]
@@ -8702,15 +9861,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.410116578739654
--- Workload: 406369000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 49 in the X datas point
--------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.83375292]
@@ -8718,7 +9877,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
@@ -8726,23 +9885,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 23 in the X datas point
--------------
- --- Configuration: 3333-3000
+ --- Configuration: 3333-3300
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.76130039]
@@ -8750,14 +9909,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 41 in the X datas point
---------------
- --- Configuration: 3300-2000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-3300'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
--------------
@@ -8770,7 +9921,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
@@ -8783,53 +9934,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 41 in the X datas point
---------------
- --- Configuration: 3300-2000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5026691733.102776
- --- Energy: 36.9852979298838
- --- Workload: 185914000000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5822958761.806049
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 52 in the X datas point
--------------
- --- Configuration: 3000-3330
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 8224428196.629629
- --- Energy: 49.410116578739654
- --- Workload: 406369000000.0
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 49 in the X datas point
--------------
- --- Configuration: 3333-3000
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
--- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
--------------
--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
--------------
@@ -8840,53 +9991,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 748237000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 28 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 30 in the X datas point
--------------
- --- Configuration: 3330-3000
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (37.40635012737015 mAh) it is NOT far from the median.
---- Median :37.40635012737015, the gap is : 10
+--- The energy of the current configuration (42.19510352720739 mAh) it is NOT far from the median.
+--- Median :42.19510352720739, the gap is : 10
--- So No we don't romove this configuration '3000-3300'
- --- remove_aberrant_points: The value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0]
--- Computing the list of the 10 first neighbours of '3000-3330'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -8896,60 +10047,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-3330'
--- Neighbour 0 in the list of neghbours, And at position 31 in the X datas point
@@ -8968,7 +10149,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
--- Distance from that configuration: [0.83375292]
@@ -8976,15 +10165,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 49 in the X datas point
--------------
- --- Configuration: 3333-3300
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.76130039]
@@ -8992,7 +10181,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.76130039]
@@ -9000,15 +10189,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 1 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 61 in the X datas point
+--------------
+ --- Configuration: 3330-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
--- Distance from that configuration: [0.69514393]
@@ -9016,22 +10213,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 28 in the X datas point
---------------
- --- Configuration: 3330-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-3330'
--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
--------------
@@ -9052,28 +10233,44 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 4059018123.5159216
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 28 in the X datas point
---------------
- --- Configuration: 3330-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 5822958761.806049
- --- Energy: 37.40635012737015
- --- Workload: 217816000000.0
---------------
---- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 6611133148.221605
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 31 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 31 in the X datas point
--------------
--- Configuration: 3000-3330
--- Distance from that configuration: [0.76130039]
@@ -9081,86 +10278,70 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.410116578739654
--- Workload: 406369000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
- --- Distance from that configuration: [0.69514393]
+ --- Distance from that configuration: [0.76130039]
--- Energy efficiency: 8096707069.234942
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 1 in the X datas point
---------------
- --- Configuration: 0033-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 6957102505.948323
- --- Energy: 53.35616382684589
- --- Workload: 371205000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 61 in the X datas point
--------------
- --- Configuration: 3333-3300
+ --- Configuration: 3330-2220
--- Distance from that configuration: [0.69514393]
- --- Energy efficiency: 9963434196.49885
- --- Energy: 75.09852863759252
- --- Workload: 748237000000.0
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 30 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 52 in the X datas point
--------------
--- Configuration: 3000-3300
- --- Energy efficiency: 6611133148.221605
- --- Energy: 42.19510352720739
- --- Workload: 278957000000.0
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (42.19510352720739 mAh) it is NOT far from the median.
---- Median :42.19510352720739, the gap is : 10
+--- The energy of the current configuration (42.474892742303716 mAh) it is NOT far from the median.
+--- Median :42.474892742303716, the gap is : 10
--- So No we don't romove this configuration '3000-3330'
- --- remove_aberrant_points: The value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0] is not an abberant point.
--- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '0000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -9170,60 +10351,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-0000'
--- Neighbour 0 in the list of neghbours, And at position 16 in the X datas point
@@ -9258,7 +10469,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -9266,7 +10493,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.83375292]
@@ -9274,7 +10501,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.83375292]
@@ -9282,29 +10509,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 6 in the X datas point
---------------
- --- Configuration: 0020-0010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
---------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
@@ -9342,7 +10553,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 2018619748.5607243
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
@@ -9350,42 +10561,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 54 in the X datas point
--------------
- --- Configuration: 0020-0010
+ --- Configuration: 0000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 3998672440.749671
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 1000-1000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 4062233415.93208
- --- Energy: 36.86022362180361
- --- Workload: 149735000000.0
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 59 in the X datas point
--------------
- --- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 6501654671.113798
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
--------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
@@ -9403,38 +10614,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '1000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -9444,60 +10655,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1000-0000'
--- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
@@ -9677,38 +10918,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '2000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -9718,60 +10959,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '2000-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
@@ -9951,38 +11222,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -9992,60 +11263,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-0000'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
@@ -10096,15 +11397,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -10112,15 +11405,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.83375292]
@@ -10128,6 +11413,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -10193,21 +11494,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
--------------
- --- Configuration: 3333-0000
+ --- Configuration: 3300-1000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 45 in the X datas point
--------------
- --- Configuration: 3303-0001
+ --- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 37 in the X datas point
@@ -10225,38 +11526,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '1100-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -10266,60 +11567,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1100-0000'
--- Neighbour 0 in the list of neghbours, And at position 36 in the X datas point
@@ -10499,38 +11830,38 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- remove_aberrant_points: do we remove value [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '2200-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -10540,60 +11871,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '2200-0000'
--- Neighbour 0 in the list of neghbours, And at position 37 in the X datas point
@@ -10636,13 +11997,13 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 75 in the X datas point
--------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
--------------
--- Neighbour 6 in the list of neghbours, And at position 18 in the X datas point
--------------
@@ -10660,15 +12021,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 33 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 33 in the X datas point
--------------
--- Configuration: 1000-0000
--- Distance from that configuration: [0.83375292]
@@ -10676,6 +12029,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '2200-0000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -10693,7 +12054,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 33 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 33 in the X datas point
--------------
--- Configuration: 1000-0000
--- Distance from that configuration: [0.91310072]
@@ -10701,7 +12070,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.91310072]
@@ -10709,7 +12078,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.91310072]
@@ -10717,7 +12086,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.83375292]
@@ -10725,7 +12094,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
--- Distance from that configuration: [0.83375292]
@@ -10733,7 +12102,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -10741,70 +12118,54 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
--------------
+--- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
--------------
---- Median at position 4 in the list of neghbours, And at position 37 in the X datas point
---------------
- --- Configuration: 2200-0000
- --- Energy efficiency: 1998856653.9939156
- --- Energy: 30.07061597004587
- --- Workload: 60106800000.0
+ --- Configuration: 1100-0000
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (30.07061597004587 mAh) it is NOT far from the median.
---- Median :30.07061597004587, the gap is : 10
+--- The energy of the current configuration (30.059275323795035 mAh) it is NOT far from the median.
+--- Median :30.059275323795035, the gap is : 10
--- So No we don't romove this configuration '2200-0000'
--- remove_aberrant_points: The value [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0] is not an abberant point.
--- remove_aberrant_points: do we remove value [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '1110-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -10814,60 +12175,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1110-0000'
--- Neighbour 0 in the list of neghbours, And at position 38 in the X datas point
@@ -10894,7 +12285,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 33 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 33 in the X datas point
--------------
--- Configuration: 1000-0000
--- Distance from that configuration: [0.83375292]
@@ -10902,7 +12301,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.83375292]
@@ -10910,7 +12309,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 42 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
--- Distance from that configuration: [0.83375292]
@@ -10918,7 +12317,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -10926,7 +12325,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -10934,7 +12333,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.76130039]
@@ -10942,32 +12341,16 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.957415812958512
--- Workload: 0.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 34 in the X datas point
---------------
- --- Configuration: 2000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1014996574.3865615
- --- Energy: 29.02206558996354
- --- Workload: 29457300000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '1110-0000'
---- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
---------------
- --- Configuration: 2000-0000
- --- Distance from that configuration: [1.]
- --- Energy efficiency: 1014996574.3865615
- --- Energy: 29.02206558996354
- --- Workload: 29457300000.0
---------------
---- Neighbour 1 in the list of neghbours, And at position 33 in the X datas point
+--- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
--------------
--- Configuration: 1000-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 997516184.7000968
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.91310072]
@@ -10975,23 +12358,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.957415812958512
--- Workload: 0.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 2018619748.5607243
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.83375292]
@@ -10999,22 +12382,30 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 39 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 39 in the X datas point
--------------
--- Configuration: 2220-0000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 3029054692.61153
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
+--- Neighbour 7 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
--- Neighbour 8 in the list of neghbours, And at position 38 in the X datas point
--------------
--- Configuration: 1110-0000
@@ -11032,53 +12423,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 218185000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 37 in the X datas point
--------------
- --- Configuration: 1100-0000
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
+ --- Configuration: 2200-0000
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (30.059275323795035 mAh) it is NOT far from the median.
---- Median :30.059275323795035, the gap is : 10
+--- The energy of the current configuration (30.07061597004587 mAh) it is NOT far from the median.
+--- Median :30.07061597004587, the gap is : 10
--- So No we don't romove this configuration '1110-0000'
--- remove_aberrant_points: The value [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0] is not an abberant point.
--- remove_aberrant_points: do we remove value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '2220-0000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -11088,60 +12479,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '2220-0000'
--- Neighbour 0 in the list of neghbours, And at position 39 in the X datas point
@@ -11152,7 +12573,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.91310072]
@@ -11160,14 +12589,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
--- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
@@ -11192,7 +12613,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -11200,7 +12629,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.83375292]
@@ -11208,14 +12637,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
---------------
--- Neighbour 9 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
@@ -11236,7 +12657,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 1 in the list of neghbours, And at position 5 in the X datas point
--------------
--- Configuration: 0030-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 994906080.8659663
--- Energy: 29.623247258891045
--- Workload: 29472300000.0
@@ -11273,7 +12694,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.508250558695604
--- Workload: 92411200000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 38 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 38 in the X datas point
--------------
--- Configuration: 1110-0000
--- Distance from that configuration: [0.83375292]
@@ -11281,7 +12710,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.668041259477853
--- Workload: 89102900000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -11289,14 +12718,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 3 in the X datas point
---------------
- --- Configuration: 2222-0220
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 11285968381.230984
- --- Energy: 54.74622776577034
- --- Workload: 617864000000.0
---------------
--- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
--------------
--- Configuration: 3333-0000
@@ -11318,41 +12739,41 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Median :30.277288658122774, the gap is : 10
--- So No we don't romove this configuration '2220-0000'
--- remove_aberrant_points: The value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3300-1000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -11362,60 +12783,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3300-1000'
--- Neighbour 0 in the list of neghbours, And at position 40 in the X datas point
@@ -11426,15 +12877,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.91310072]
@@ -11442,7 +12885,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.91310072]
@@ -11450,7 +12893,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
--- Distance from that configuration: [0.91310072]
@@ -11458,23 +12901,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 0 in the X datas point
---------------
- --- Configuration: 0303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 14 in the X datas point
--------------
- --- Configuration: 3303-0001
+ --- Configuration: 3303-1010
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.83375292]
@@ -11482,7 +12917,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
--- Distance from that configuration: [0.83375292]
@@ -11490,13 +12925,29 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 35 in the X datas point
--------------
- --- Configuration: 3333-0000
+ --- Configuration: 3000-0000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3300-1000'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
@@ -11507,7 +12958,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.91310072]
@@ -11515,31 +12982,39 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 20 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 20 in the X datas point
--------------
--- Configuration: 3330-0000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5377240292.736961
--- Energy: 32.51205394198035
--- Workload: 174825000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5326600510.288329
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -11547,30 +13022,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
---------------
- --- Configuration: 3333-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8296551953.00833
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
---------------
- --- Configuration: 3303-0001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8321129010.784183
- --- Energy: 59.94594005320708
- --- Workload: 498819000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
---------------
- --- Configuration: 0303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8236960890.90969
- --- Energy: 61.00540758755291
- --- Workload: 502499000000.0
---------------
--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
--------------
--- Configuration: 3303-1010
@@ -11580,53 +13031,53 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Workload: 629393000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 40 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 20 in the X datas point
--------------
- --- Configuration: 3300-1000
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
+ --- Configuration: 3330-0000
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (36.78276420172299 mAh) it is NOT far from the median.
---- Median :36.78276420172299, the gap is : 10
+--- The energy of the current configuration (32.51205394198035 mAh) it is NOT far from the median.
+--- Median :32.51205394198035, the gap is : 10
--- So No we don't romove this configuration '3300-1000'
- --- remove_aberrant_points: The value [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3300-2000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -11636,60 +13087,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3300-2000'
--- Neighbour 0 in the list of neghbours, And at position 41 in the X datas point
@@ -11732,15 +13213,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.83375292]
@@ -11748,15 +13221,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.83375292]
@@ -11764,7 +13229,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 29 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 29 in the X datas point
--------------
--- Configuration: 3000-3000
--- Distance from that configuration: [0.83375292]
@@ -11772,6 +13237,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3300-2000'
--- Neighbour 0 in the list of neghbours, And at position 19 in the X datas point
--------------
@@ -11789,7 +13270,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.91310072]
@@ -11797,23 +13294,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
- --- Distance from that configuration: [0.91310072]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5035525633.343237
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
@@ -11821,7 +13318,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -11829,7 +13326,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 28 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 28 in the X datas point
--------------
--- Configuration: 3330-3000
--- Distance from that configuration: [0.83375292]
@@ -11837,70 +13334,54 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 37.40635012737015
--- Workload: 217816000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
---------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
--------------
---- Median at position 4 in the list of neghbours, And at position 43 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 27 in the X datas point
--------------
- --- Configuration: 2200-2000
- --- Energy efficiency: 5035525633.343237
- --- Energy: 36.93355197432356
- --- Workload: 185980000000.0
+ --- Configuration: 3300-3000
+ --- Energy efficiency: 5072151352.996373
+ --- Energy: 36.711179058531826
+ --- Workload: 186205000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (36.93355197432356 mAh) it is NOT far from the median.
---- Median :36.93355197432356, the gap is : 10
+--- The energy of the current configuration (36.711179058531826 mAh) it is NOT far from the median.
+--- Median :36.711179058531826, the gap is : 10
--- So No we don't romove this configuration '3300-2000'
- --- remove_aberrant_points: The value [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '1100-1000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -11910,60 +13391,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1100-1000'
--- Neighbour 0 in the list of neghbours, And at position 42 in the X datas point
@@ -12030,21 +13541,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.027102694886654
- --- Workload: 0.0
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '1100-1000'
--- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
@@ -12055,15 +13566,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.543907709942122
--- Workload: 29470600000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 17 in the X datas point
---------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.027102694886654
- --- Workload: 0.0
---------------
---- Neighbour 2 in the list of neghbours, And at position 36 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 36 in the X datas point
--------------
--- Configuration: 1100-0000
--- Distance from that configuration: [0.91310072]
@@ -12071,23 +13574,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.059275323795035
--- Workload: 60678300000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1998856653.9939156
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
---------------
- --- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 38 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 38 in the X datas point
--------------
--- Configuration: 1110-0000
--- Distance from that configuration: [0.83375292]
@@ -12095,7 +13590,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.668041259477853
--- Workload: 89102900000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
--- Distance from that configuration: [0.83375292]
@@ -12103,7 +13606,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 46 in the X datas point
--------------
--- Configuration: 1000-1000
--- Distance from that configuration: [0.83375292]
@@ -12111,70 +13614,78 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 43 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 43 in the X datas point
--------------
--- Configuration: 2200-2000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5035525633.343237
--- Energy: 36.93355197432356
--- Workload: 185980000000.0
--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
--- Neighbour 9 in the list of neghbours, And at position 7 in the X datas point
--------------
--- Configuration: 1000-1010
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 6501654671.113798
--- Energy: 42.85376093977719
--- Workload: 278621000000.0
--------------
--------------
---- Median at position 4 in the list of neghbours, And at position 16 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 53 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 30.299284062105812
- --- Workload: 0.0
+ --- Configuration: 0000-1000
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (30.299284062105812 mAh) it is NOT far from the median.
---- Median :30.299284062105812, the gap is : 10
+--- The energy of the current configuration (35.44774676664167 mAh) it is NOT far from the median.
+--- Median :35.44774676664167, the gap is : 10
--- So No we don't romove this configuration '1100-1000'
- --- remove_aberrant_points: The value [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '2200-2000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -12184,60 +13695,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '2200-2000'
--- Neighbour 0 in the list of neghbours, And at position 43 in the X datas point
@@ -12256,7 +13797,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 2 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.83375292]
@@ -12264,7 +13813,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
--------------
--- Configuration: 2200-0000
--- Distance from that configuration: [0.83375292]
@@ -12272,7 +13821,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 40 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
--- Distance from that configuration: [0.83375292]
@@ -12280,7 +13829,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 42 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
--- Distance from that configuration: [0.83375292]
@@ -12288,7 +13837,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
@@ -12296,29 +13845,21 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 3300-0000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 62 in the X datas point
--------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '2200-2000'
--- Neighbour 0 in the list of neghbours, And at position 37 in the X datas point
@@ -12329,18 +13870,18 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.07061597004587
--- Workload: 60106800000.0
--------------
---- Neighbour 1 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 3300-0000
+ --- Configuration: 2000-2000
--- Distance from that configuration: [0.91310072]
- --- Energy efficiency: 1980229389.772511
- --- Energy: 30.277288658122774
- --- Workload: 59956000000.0
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
--------------
--- Neighbour 2 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5947637003.818383
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
@@ -12380,26 +13921,26 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
- --- Distance from that configuration: [0.76130039]
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 5026691733.102776
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 22 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 62 in the X datas point
--------------
- --- Configuration: 3333-3000
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9400881802.713095
- --- Energy: 66.34289826476824
- --- Workload: 623684000000.0
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 40 in the X datas point
@@ -12413,42 +13954,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (36.78276420172299 mAh) it is NOT far from the median.
--- Median :36.78276420172299, the gap is : 10
--- So No we don't romove this configuration '2200-2000'
- --- remove_aberrant_points: The value [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-1000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -12458,60 +13999,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-1000'
--- Neighbour 0 in the list of neghbours, And at position 44 in the X datas point
@@ -12554,7 +14125,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 4 in the X datas point
--------------
--- Configuration: 3000-1110
--- Distance from that configuration: [0.83375292]
@@ -12562,23 +14141,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 49.41467631934382
--- Workload: 400095000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 14 in the X datas point
---------------
- --- Configuration: 3303-1010
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
---------------
- --- Configuration: 0003-1001
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
---------------
---- Neighbour 8 in the list of neghbours, And at position 19 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 19 in the X datas point
--------------
--- Configuration: 3300-0000
--- Distance from that configuration: [0.83375292]
@@ -12586,7 +14149,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.277288658122774
--- Workload: 59956000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -12594,6 +14157,14 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-1000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -12638,7 +14209,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
--------------
--- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5058399218.983161
--- Energy: 36.78276420172299
--- Workload: 186062000000.0
@@ -12651,29 +14222,29 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 4 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
--------------
- --- Configuration: 3000-1110
+ --- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 8096707069.234942
- --- Energy: 49.41467631934382
- --- Workload: 400095000000.0
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 15 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 48 in the X datas point
--------------
- --- Configuration: 0003-1001
+ --- Configuration: 3000-1100
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 6806147312.252427
- --- Energy: 54.44253148500697
- --- Workload: 370545000000.0
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 4 in the X datas point
--------------
- --- Configuration: 3303-1010
+ --- Configuration: 3000-1110
--- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 9340120487.55429
- --- Energy: 67.3857084084629
- --- Workload: 629393000000.0
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
--------------
--------------
--- Median at position 4 in the list of neghbours, And at position 44 in the X datas point
@@ -12687,42 +14258,42 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- The energy of the current configuration (36.46450751429702 mAh) it is NOT far from the median.
--- Median :36.46450751429702, the gap is : 10
--- So No we don't romove this configuration '3000-1000'
- --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '3000-2000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -12732,60 +14303,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-2000'
--- Neighbour 0 in the list of neghbours, And at position 45 in the X datas point
@@ -12820,7 +14421,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 18 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.83375292]
@@ -12828,7 +14445,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.060137396486432
--- Workload: 29553800000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
--- Distance from that configuration: [0.83375292]
@@ -12836,7 +14453,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
@@ -12844,7 +14461,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 35 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
--- Distance from that configuration: [0.83375292]
@@ -12852,22 +14469,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.239529117166907
--- Workload: 29535500000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 40 in the X datas point
---------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 43 in the X datas point
---------------
- --- Configuration: 2200-2000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5035525633.343237
- --- Energy: 36.93355197432356
- --- Workload: 185980000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-2000'
--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
--------------
@@ -12893,7 +14494,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.1860248822606
--- Workload: 150171000000.0
--------------
---- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 44 in the X datas point
--------------
--- Configuration: 3000-1000
--- Distance from that configuration: [0.91310072]
@@ -12901,31 +14510,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.46450751429702
--- Workload: 194232000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 27 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 27 in the X datas point
--------------
--- Configuration: 3300-3000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 5072151352.996373
--- Energy: 36.711179058531826
--- Workload: 186205000000.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
---------------
- --- Configuration: 3300-1000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5058399218.983161
- --- Energy: 36.78276420172299
- --- Workload: 186062000000.0
---------------
---- Neighbour 6 in the list of neghbours, And at position 43 in the X datas point
---------------
- --- Configuration: 2200-2000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 5035525633.343237
- --- Energy: 36.93355197432356
- --- Workload: 185980000000.0
---------------
---- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
--------------
--- Configuration: 3000-2000
--- Distance from that configuration: [0.83375292]
@@ -12933,7 +14526,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.96583597689362
--- Workload: 150045000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
--------------
--- Configuration: 3300-2000
--- Distance from that configuration: [0.83375292]
@@ -12941,7 +14534,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.9852979298838
--- Workload: 185914000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 30 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 30 in the X datas point
--------------
--- Configuration: 3000-3300
--- Distance from that configuration: [0.83375292]
@@ -12949,54 +14542,62 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.19510352720739
--- Workload: 278957000000.0
--------------
+--- Neighbour 9 in the list of neghbours, And at position 49 in the X datas point
--------------
---- Median at position 4 in the list of neghbours, And at position 27 in the X datas point
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
--------------
- --- Configuration: 3300-3000
- --- Energy efficiency: 5072151352.996373
- --- Energy: 36.711179058531826
- --- Workload: 186205000000.0
+--------------
+--- Median at position 4 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (36.711179058531826 mAh) it is NOT far from the median.
---- Median :36.711179058531826, the gap is : 10
+--- The energy of the current configuration (36.46450751429702 mAh) it is NOT far from the median.
+--- Median :36.46450751429702, the gap is : 10
--- So No we don't romove this configuration '3000-2000'
- --- remove_aberrant_points: The value [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0] is not an abberant point.
- --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
--- Computing the list of the 10 first neighbours of '1000-1000'
*** START computing ci exp matrix
-X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 1. 2. 0. 1. 0. 0. 0.]
- [2. 0. 1. 0. 0. 0. 0. 1. 0. 0.]
- [1. 1. 1. 1. 1. 0. 0. 1. 1. 0.]
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
[2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
[2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
[1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
- [1. 0. 0. 1. 1. 0. 0. 1. 0. 1.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 1. 0. 0. 0. 1. 1. 1.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 1.]
- [1. 0. 0. 1. 2. 0. 0. 0. 1. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 1. 0. 1. 0.]
- [2. 0. 0. 0. 0. 0. 1. 0. 0. 1.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
@@ -13006,60 +14607,90 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
[0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
*** END computing ci exp matrix, cached result [[[1. ]
[0.52921334]
[0.76130039]
...
- [0.76130039]
- [0.69514393]
- [0.52921334]]
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
[[0.52921334]
[1. ]
[0.48322508]
...
- [0.57957828]
- [0.76130039]
- [0.40289032]]
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
[[0.76130039]
[0.48322508]
[1. ]
...
- [0.69514393]
+ [0.52921334]
[0.63473642]
- [0.48322508]]
+ [0.44123317]]
...
- [[0.76130039]
- [0.57957828]
- [0.69514393]
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
...
[1. ]
- [0.91310072]
- [0.69514393]]
+ [0.69514393]
+ [0.57957828]]
- [[0.69514393]
- [0.76130039]
+ [[0.57957828]
+ [0.44123317]
[0.63473642]
...
- [0.91310072]
+ [0.69514393]
[1. ]
- [0.63473642]]
+ [0.69514393]]
- [[0.52921334]
- [0.40289032]
- [0.48322508]
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
...
+ [0.57957828]
[0.69514393]
- [0.63473642]
[1. ]]]
--- Ordered by distance, Printing the list of the 10 first neighbours of '1000-1000'
--- Neighbour 0 in the list of neghbours, And at position 46 in the X datas point
@@ -13094,7 +14725,23 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.68430426428569
--- Workload: 218185000000.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.83375292]
@@ -13102,7 +14749,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
---- Neighbour 5 in the list of neghbours, And at position 17 in the X datas point
+--- Neighbour 7 in the list of neghbours, And at position 17 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.83375292]
@@ -13110,7 +14757,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 6 in the list of neghbours, And at position 32 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 32 in the X datas point
--------------
--- Configuration: 0000-0000
--- Distance from that configuration: [0.83375292]
@@ -13118,7 +14765,7 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.957415812958512
--- Workload: 0.0
--------------
---- Neighbour 7 in the list of neghbours, And at position 34 in the X datas point
+--- Neighbour 9 in the list of neghbours, And at position 34 in the X datas point
--------------
--- Configuration: 2000-0000
--- Distance from that configuration: [0.83375292]
@@ -13126,22 +14773,6 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 29.02206558996354
--- Workload: 29457300000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 36 in the X datas point
---------------
- --- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
---------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
--- Ordered by energy, Printing the list of the 10 first neighbours of '1000-1000'
--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
--------------
@@ -13175,22 +14806,22 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 30.027102694886654
--- Workload: 0.0
--------------
---- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
---------------
- --- Configuration: 1100-0000
- --- Distance from that configuration: [0.83375292]
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
---------------
---- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
--------------
--- Configuration: 0000-0000
- --- Distance from that configuration: [0.83375292]
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 0.08333333333333333
--- Energy: 30.299284062105812
--- Workload: 0.0
--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
--- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
--------------
--- Configuration: 1100-1000
@@ -13207,7 +14838,15 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 36.86022362180361
--- Workload: 149735000000.0
--------------
---- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 7 in the X datas point
--------------
--- Configuration: 1000-1010
--- Distance from that configuration: [0.83375292]
@@ -13215,29083 +14854,13067 @@ X = [[2. 0. 1. 0. 0. 0. 1. 0. 1. 0.]
--- Energy: 42.85376093977719
--- Workload: 278621000000.0
--------------
---- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
---------------
- --- Configuration: 0011-1100
- --- Distance from that configuration: [0.76130039]
- --- Energy efficiency: 7650055845.407672
- --- Energy: 43.82652071469574
- --- Workload: 335276000000.0
---------------
--------------
---- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
+--- Median at position 4 in the list of neghbours, And at position 16 in the X datas point
--------------
- --- Configuration: 1100-0000
- --- Energy efficiency: 2018619748.5607243
- --- Energy: 30.059275323795035
- --- Workload: 60678300000.0
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
--------------
--- Comparing the median energy with the energy of that data point
---- The energy of the current configuration (30.059275323795035 mAh) it is NOT far from the median.
---- Median :30.059275323795035, the gap is : 10
+--- The energy of the current configuration (30.299284062105812 mAh) it is NOT far from the median.
+--- Median :30.299284062105812, the gap is : 10
--- So No we don't romove this configuration '1000-1000'
- --- remove_aberrant_points: The value [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0] is not an abberant point.
---- remove_aberrant_points: Printing all 14 removed points
- --- Configuration: 0303-1010
- --- Energy: 61.00540758755291
- --- Configuration: 0033-3000
- --- Energy: 53.35616382684589
- --- Configuration: 0303-0100
- --- Energy: 53.38267358149647
- --- Configuration: 2222-0220
- --- Energy: 54.74622776577034
- --- Configuration: 3000-1110
- --- Energy: 49.41467631934382
- --- Configuration: 1000-1010
- --- Energy: 42.85376093977719
- --- Configuration: 0020-0202
- --- Energy: 66.44909360627778
- --- Configuration: 0011-0111
- --- Energy: 50.74428137607953
- --- Configuration: 3303-0001
- --- Energy: 59.94594005320708
- --- Configuration: 3303-1010
- --- Energy: 67.3857084084629
- --- Configuration: 0003-1001
- --- Energy: 54.44253148500697
- --- Configuration: 3333-0000
- --- Energy: 59.045602086542516
- --- Configuration: 3333-3000
- --- Energy: 66.34289826476824
- --- Configuration: 3333-3300
- --- Energy: 75.09852863759252
-final_X_user friendly :
- ['0030-0000', '0020-0010', '0010-3300', '0022-0030', '0011-1100', '0000-0000', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '0000-0000', '1000-0000', '2000-0000', '3000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000']
-final_X :
- [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]]
-final_y :
- [994906080.8659663, 3998672440.749671, 6532788063.289651, 7249844128.351241, 7650055845.407672, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208]
- --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
- --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.94906081e+08]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 3.99867244e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.53278806e+09]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.24984413e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 7.65005585e+09]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01698776e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.98022939e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.37724029e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.30772055e+09]
- --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
- 5.7896169e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.66577233e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.07215135e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.82295876e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.14998029e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.61113315e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
- 8.2244282e+09]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.97516185e+08]
- --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01499657e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01012244e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.01861975e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.99885665e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.90539736e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.02905469e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.05839922e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.02669173e+09]
- --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
- 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
- 5.947637e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.03552563e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.32660051e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.05901812e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.06223342e+09]
---- Size of X after removing aberrants points from the dataset: 33
---- Number of abberant points removed : 14
-*** Ratio energy by wokload : [994906080.8659663, 3998672440.749671, 6532788063.289651, 7249844128.351241, 7650055845.407672, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208]
---- Size of X before removing duplicates: 33
- --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
- --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.94906081e+08]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 3.99867244e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.53278806e+09]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.24984413e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 7.65005585e+09]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01698776e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.98022939e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.37724029e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.30772055e+09]
- --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
- 5.7896169e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.66577233e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.07215135e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.82295876e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.14998029e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.61113315e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
- 8.2244282e+09]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.97516185e+08]
- --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01499657e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01012244e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.01861975e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.99885665e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.90539736e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.02905469e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.05839922e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.02669173e+09]
- --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
- 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
- 5.947637e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.03552563e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.32660051e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.05901812e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.06223342e+09]
- --- Checking value [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
- --- Retained configurations []
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : configuration is present, have it been processed? -1
- --- Answer : the configuration 0000-0000 is already present at positions [5, 6, 18]
- --- Position: 5
+ --- remove_aberrant_points: The value [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '2000-2000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2000-2000'
+--- Neighbour 0 in the list of neghbours, And at position 47 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
--------------
- --- Position: 6
+--- Neighbour 1 in the list of neghbours, And at position 43 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
--------------
- --- Position: 18
+--- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
--------------
-----------------------
---- Ordered by energy, Printing the list of the 3 duplicates of '0000-0000'
---- Duplicate 0 in the list of duplicate, And at position 6 in the X datas point
+--- Neighbour 3 in the list of neghbours, And at position 51 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
--------------
---- Duplicate 1 in the list of duplicate, And at position 5 in the X datas point
+--- Neighbour 4 in the list of neghbours, And at position 62 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 29.623247258891045
- --- Workload: 29472300000.0
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
--------------
---- Duplicate 2 in the list of duplicate, And at position 18 in the X datas point
+--- Neighbour 5 in the list of neghbours, And at position 29 in the X datas point
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 29.060137396486432
- --- Workload: 29553800000.0
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
--------------
---- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 6 in the X datas point
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
--------------
- --- Configuration: 0000-0000
- --- Energy efficiency: 0.08333333333333333
- --- Energy: 36.82601141845538
- --- Workload: 147255000000.0
+--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
--------------
- --- Checking value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0]]
- --- Answer : configuration is present, have it been processed? 0
- --- Checking value [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : configuration is present, have it been processed? -1
- --- Answer : the configuration 3000-0000 is already present at positions [7, 21]
- --- Position: 7
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2000-2000'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.86022362180361 mAh) it is NOT far from the median.
+--- Median :36.86022362180361, the gap is : 10
+--- So No we don't romove this configuration '2000-2000'
+ --- remove_aberrant_points: The value [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '3000-1100'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-1100'
+--- Neighbour 0 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1016987763.6032282
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
--------------
- --- Position: 21
+--- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
+ --- Distance from that configuration: [0.83375292]
--- Energy efficiency: 1010122436.9405816
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
--------------
-----------------------
---- Ordered by energy, Printing the list of the 2 duplicates of '3000-0000'
---- Duplicate 0 in the list of duplicate, And at position 21 in the X datas point
+--- Neighbour 6 in the list of neghbours, And at position 40 in the X datas point
--------------
- --- Configuration: 3000-0000
- --- Energy efficiency: 1010122436.9405816
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
--------------
---- Duplicate 1 in the list of duplicate, And at position 7 in the X datas point
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-1100'
+--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
--------------
--- Configuration: 3000-0000
+ --- Distance from that configuration: [1.]
--- Energy efficiency: 1016987763.6032282
- --- Energy: 42.85376093977719
- --- Workload: 278621000000.0
---------------
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
--------------
---- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 21 in the X datas point
+--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
--------------
--- Configuration: 3000-0000
+ --- Distance from that configuration: [0.91310072]
--- Energy efficiency: 1010122436.9405816
- --- Energy: 59.045602086542516
- --- Workload: 489874000000.0
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
--------------
- --- Checking value [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
- --- Checking value [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]
- --- Retained configurations [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0]]
- --- Answer : we add the configuration, it is not yet present
-final_X_user friendly :
- ['0030-0000', '0020-0010', '0010-3300', '0022-0030', '0011-1100', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '1000-0000', '2000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000']
-final_X :
- [[2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 2.0, 0, 1, 1, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 1, 1, 0], [2.0, 1, 1, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 1, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [1.0, 1, 1, 0, 1.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 1.0, 0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0.0, 0, 1, 0, 0, 0]]
-final_y :
- [994906080.8659663, 3998672440.749671, 6532788063.289651, 7249844128.351241, 7650055845.407672, 0.08333333333333333, 1010122436.9405816, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 997516184.7000968, 1014996574.3865615, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208]
- --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
- --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.94906081e+08]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 3.99867244e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.53278806e+09]
- --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.24984413e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 7.65005585e+09]
- --- Actual line: [0. 0. 0. 0. 0. 0.
- 0. 0. 0. 0. 0.08333333]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01012244e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.98022939e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.37724029e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.30772055e+09]
- --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
- 5.7896169e+09]
- --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 1.00000000e+00 0.00000000e+00 7.66577233e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.07215135e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.82295876e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.14998029e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 2.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 6.61113315e+09]
- --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 2.0000000e+00
- 0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
- 8.2244282e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 9.97516185e+08]
- --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.01499657e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.01861975e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.99885665e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 2.90539736e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 3.02905469e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.05839922e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.02669173e+09]
- --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
- 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
- 5.947637e+09]
- --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.03552563e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 5.32660051e+09]
- --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.05901812e+09]
- --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 4.06223342e+09]
---- Size of X after removing duplicates: 30
---- Number of duplicates points removed : 3
-*** Ratio energy by wokload : [994906080.8659663, 3998672440.749671, 6532788063.289651, 7249844128.351241, 7650055845.407672, 0.08333333333333333, 1010122436.9405816, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 997516184.7000968, 1014996574.3865615, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208]
----> getting userfriendly values from X values
----> getting userfriendly values from X values
-Train set Configurations : [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]]
-Train set energy by workload : [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
-Test set Configurations : [[1.0, 0, 0, 1, 0.0, 0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 2.0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2.0, 0, 1, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0.0, 0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 2.0, 0, 0, 0, 1, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
-Test set energy by workload : [3998672440.749671, 994906080.8659663, 4149980287.5936337, 3307720550.5370083, 2905397356.669485, 2018619748.5607243, 5058399218.983161, 1010122436.9405816, 7249844128.351241, 1998856653.9939156]
-Train set Configurations in user friendly mode : ['0000-0000', '3000-1000', '3300-3000', '0011-1100', '0000-3300', '3000-3330', '3000-2000', '1100-1000', '1000-0000', '0010-3300', '3300-0000', '2200-2000', '3300-2000', '2000-0000', '0000-3330', '2220-0000', '1000-1000', '3330-3000', '3000-3300', '3333-0000']
-Test set Configurations in user friendly mode : ['0020-0010', '0030-0000', '3000-3000', '0000-3000', '1110-0000', '1100-0000', '3300-1000', '3000-0000', '0022-0030', '2200-0000']
-Size of X_train: 20
-Size of X_test: 10
----> lambda exploration
- Start, findind regularisation parameter
- getting loo error of with lamda = 1e-09, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1312605228.4652383
-error 1.722932485575513e+18
- y tested = 5326600510.288329
-y predicted = 4051791870.193298
-error 1.6251370688609428e+18
- y tested = 5072151352.996373
-y predicted = 3594012339.5118017
-error 2.184894943185142e+18
- y tested = 7650055845.407672
-y predicted = 6070903437.041872
-error 2.493722328847506e+18
- y tested = 5789616901.049658
-y predicted = 6764942629.36081
-error 9.5126027630568e+17
- y tested = 8224428196.629629
-y predicted = 7969760094.188414
-error 6.485584240100944e+16
- y tested = 4059018123.5159216
-y predicted = 5054319914.268138
-error 9.906256546745686e+17
- y tested = 5947637003.818383
-y predicted = 4069847482.987872
-error 3.5260934845408804e+18
- y tested = 997516184.7000968
-y predicted = 131729768.12286858
-error 7.495861191296379e+17
- y tested = 6532788063.289651
-y predicted = 5298139005.47945
-error 1.5243582959516163e+18
- y tested = 1980229389.772511
-y predicted = 3722742923.0070443
-error 3.036353413505497e+18
- y tested = 5035525633.343237
-y predicted = 4721401771.547748
-error 9.867380054931166e+16
- y tested = 5026691733.102776
-y predicted = 5389424632.187269
-error 1.3157515607824144e+17
- y tested = 1014996574.3865615
-y predicted = 958216612.1003389
-error 3223964117224858.0
- y tested = 7665772326.561901
-y predicted = 7014797203.394785
-error 4.2376861098244205e+17
- y tested = 3029054692.61153
-y predicted = 5462433954.478843
-error 5.921334632085908e+18
- y tested = 4062233415.93208
-y predicted = 5888432824.667502
-error 3.335004280465607e+18
- y tested = 5822958761.806049
-y predicted = 7715479853.663633
-error 3.581636083125822e+18
- y tested = 6611133148.221605
-y predicted = 6266623031.96833
-error 1.18687220200845e+17
- y tested = 5377240292.736961
-y predicted = 2801927176.5588965
-error 6.632237646358775e+18
-error squared vector [1.722932485575513e+18, 1.6251370688609428e+18, 2.184894943185142e+18, 2.493722328847506e+18, 9.5126027630568e+17, 6.485584240100944e+16, 9.906256546745686e+17, 3.5260934845408804e+18, 7.495861191296379e+17, 1.5243582959516163e+18, 3.036353413505497e+18, 9.867380054931166e+16, 1.3157515607824144e+17, 3223964117224858.0, 4.2376861098244205e+17, 5.921334632085908e+18, 3.335004280465607e+18, 3.581636083125822e+18, 1.18687220200845e+17, 6.632237646358775e+18]
-Total loo_error 1.9557980653471084e+18
- getting loo error of with lamda = 1, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3623318490.9389453
-error 1.3128436886176188e+19
- y tested = 5326600510.288329
-y predicted = 3773768759.891983
-error 2.41128644503898e+18
- y tested = 5072151352.996373
-y predicted = 5139430263.44134
-error 4526451790661926.0
- y tested = 7650055845.407672
-y predicted = 3738863091.743912
-error 1.5297428756311904e+19
- y tested = 5789616901.049658
-y predicted = 5425147628.237742
-error 1.3283785082404642e+17
- y tested = 8224428196.629629
-y predicted = 5102482513.241801
-error 9.74654485002389e+18
- y tested = 4059018123.5159216
-y predicted = 4917058836.350411
-error 7.362338648815195e+17
- y tested = 5947637003.818383
-y predicted = 3389068855.082254
-error 6.546270971727024e+18
- y tested = 997516184.7000968
-y predicted = 3281390872.3212776
-error 5.216083588756745e+18
- y tested = 6532788063.289651
-y predicted = 5410414200.352123
-error 1.2597230882053082e+18
- y tested = 1980229389.772511
-y predicted = 3563256312.508275
-error 2.5059742381062625e+18
- y tested = 5035525633.343237
-y predicted = 4874538443.042926
-error 2.5916875440788576e+16
- y tested = 5026691733.102776
-y predicted = 4771703677.115547
-error 6.501890869614592e+16
- y tested = 1014996574.3865615
-y predicted = 3537140152.218662
-error 6.361208227199708e+18
- y tested = 7665772326.561901
-y predicted = 5027745351.943652
-error 6.959186318813512e+18
- y tested = 3029054692.61153
-y predicted = 3668540334.6492686
-error 4.08941886372419e+17
- y tested = 4062233415.93208
-y predicted = 3718087657.6934724
-error 1.1843630291362602e+17
- y tested = 5822958761.806049
-y predicted = 5120607206.416364
-error 4.9329770735831066e+17
- y tested = 6611133148.221605
-y predicted = 5438049949.388372
-error 1.3761241913848102e+18
- y tested = 5377240292.736961
-y predicted = 3148711008.2782016
-error 4.966342771690272e+18
-error squared vector [1.3128436886176188e+19, 2.41128644503898e+18, 4526451790661926.0, 1.5297428756311904e+19, 1.3283785082404642e+17, 9.74654485002389e+18, 7.362338648815195e+17, 6.546270971727024e+18, 5.216083588756745e+18, 1.2597230882053082e+18, 2.5059742381062625e+18, 2.5916875440788576e+16, 6.501890869614592e+16, 6.361208227199708e+18, 6.959186318813512e+18, 4.08941886372419e+17, 1.1843630291362602e+17, 4.9329770735831066e+17, 1.3761241913848102e+18, 4.966342771690272e+18]
-Total loo_error 3.887991009085607e+18
-iteration 0current difference of loo_error 1.9321929437384986e+18
- getting loo error of with lamda = 0.9696969697272727, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3617687454.0810056
-error 1.3087662514812158e+19
- y tested = 5326600510.288329
-y predicted = 3773902517.262821
-error 2.41087105754544e+18
- y tested = 5072151352.996373
-y predicted = 5155471713.033496
-error 6942282396715758.0
- y tested = 7650055845.407672
-y predicted = 3747931792.1129003
-error 1.5226572127301618e+19
- y tested = 5789616901.049658
-y predicted = 5450708695.521458
-error 1.1485877177434475e+17
- y tested = 8224428196.629629
-y predicted = 5125760280.879448
-error 9.601742852099572e+18
- y tested = 4059018123.5159216
-y predicted = 4928109157.810704
-error 7.55319225891575e+17
- y tested = 5947637003.818383
-y predicted = 3386839044.6587996
-error 6.557686187635888e+18
- y tested = 997516184.7000968
-y predicted = 3268938220.9667897
-error 5.159358066837931e+18
- y tested = 6532788063.289651
-y predicted = 5441606339.797748
-error 1.1906775536827604e+18
- y tested = 1980229389.772511
-y predicted = 3559232355.428972
-error 2.493250365551898e+18
- y tested = 5035525633.343237
-y predicted = 4885194737.917983
-error 2.2599378119358616e+16
- y tested = 5026691733.102776
-y predicted = 4782999219.0184355
-error 5.9386041420746296e+16
- y tested = 1014996574.3865615
-y predicted = 3525995886.549158
-error 6.305117545681034e+18
- y tested = 7665772326.561901
-y predicted = 5052283575.134501
-error 6.830323453837549e+18
- y tested = 3029054692.61153
-y predicted = 3669748477.1556425
-error 4.1048852555345786e+17
- y tested = 4062233415.93208
-y predicted = 3718660438.2791348
-error 1.1804239097331107e+17
- y tested = 5822958761.806049
-y predicted = 5142073536.784878
-error 4.6360468965213146e+17
- y tested = 6611133148.221605
-y predicted = 5461798710.752588
-error 1.3209696491522217e+18
- y tested = 5377240292.736961
-y predicted = 3143607439.126741
-error 4.989115724726937e+18
-error squared vector [1.3087662514812158e+19, 2.41087105754544e+18, 6942282396715758.0, 1.5226572127301618e+19, 1.1485877177434475e+17, 9.601742852099572e+18, 7.55319225891575e+17, 6.557686187635888e+18, 5.159358066837931e+18, 1.1906775536827604e+18, 2.493250365551898e+18, 2.2599378119358616e+16, 5.9386041420746296e+16, 6.305117545681034e+18, 6.830323453837549e+18, 4.1048852555345786e+17, 1.1804239097331107e+17, 4.6360468965213146e+17, 1.3209696491522217e+18, 4.989115724726937e+18]
-Total loo_error 3.8562294202323323e+18
-iteration 1current difference of loo_error 1.900431354885224e+18
- getting loo error of with lamda = 0.9403122130991736, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3611693798.1425123
-error 1.3044332090939136e+19
- y tested = 5326600510.288329
-y predicted = 3773885964.0846176
-error 2.410922461992598e+18
- y tested = 5072151352.996373
-y predicted = 5171071195.08918
-error 9785135159665836.0
- y tested = 7650055845.407672
-y predicted = 3757001792.536639
-error 1.5155869858575573e+19
- y tested = 5789616901.049658
-y predicted = 5475886104.352688
-error 9.842701279611552e+16
- y tested = 8224428196.629629
-y predicted = 5148789078.705235
-error 9.459555983706749e+18
- y tested = 4059018123.5159216
-y predicted = 4938869840.464651
-error 7.741390438176273e+17
- y tested = 5947637003.818383
-y predicted = 3384524841.643471
-error 6.569543955888954e+18
- y tested = 997516184.7000968
-y predicted = 3256084912.406728
-error 5.101132697774348e+18
- y tested = 6532788063.289651
-y predicted = 5472606781.009898
-error 1.1239843512963407e+18
- y tested = 1980229389.772511
-y predicted = 3555024182.419512
-error 2.4799786389481103e+18
- y tested = 5035525633.343237
-y predicted = 4895618396.629623
-error 1.9574034884839084e+16
- y tested = 5026691733.102776
-y predicted = 4794064352.766923
-error 5.411549808192143e+16
- y tested = 1014996574.3865615
-y predicted = 3514491104.824848
-error 6.247472907690912e+18
- y tested = 7665772326.561901
-y predicted = 5076554755.230862
-error 6.704047631689406e+18
- y tested = 3029054692.61153
-y predicted = 3670934418.5211644
-error 4.1200958253382765e+17
- y tested = 4062233415.93208
-y predicted = 3719131230.3000307
-error 1.1771910978548907e+17
- y tested = 5822958761.806049
-y predicted = 5163276061.58825
-error 4.351812649666467e+17
- y tested = 6611133148.221605
-y predicted = 5485201488.02809
-error 1.2677221034261266e+18
- y tested = 5377240292.736961
-y predicted = 3138397146.045197
-error 5.012418635488681e+18
-error squared vector [1.3044332090939136e+19, 2.410922461992598e+18, 9785135159665836.0, 1.5155869858575573e+19, 9.842701279611552e+16, 9.459555983706749e+18, 7.741390438176273e+17, 6.569543955888954e+18, 5.101132697774348e+18, 1.1239843512963407e+18, 2.4799786389481103e+18, 1.9574034884839084e+16, 5.411549808192143e+16, 6.247472907690912e+18, 6.704047631689406e+18, 4.1200958253382765e+17, 1.1771910978548907e+17, 4.351812649666467e+17, 1.2677221034261266e+18, 5.012418635488681e+18]
-Total loo_error 3.824896599972153e+18
-iteration 2current difference of loo_error 1.8690985346250445e+18
- getting loo error of with lamda = 0.9118179036416229, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3605342950.3640513
-error 1.299849778913887e+19
- y tested = 5326600510.288329
-y predicted = 3773729811.3769403
-error 2.411407407537545e+18
- y tested = 5072151352.996373
-y predicted = 5186225743.539274
-error 1.301296657773431e+16
- y tested = 7650055845.407672
-y predicted = 3766082495.9960995
-error 1.508524897893935e+19
- y tested = 5789616901.049658
-y predicted = 5500672977.8463545
-error 8.348859075611646e+16
- y tested = 8224428196.629629
-y predicted = 5171569989.958892
-error 9.31994323003687e+18
- y tested = 4059018123.5159216
-y predicted = 4949345403.497808
-error 7.926826654799452e+17
- y tested = 5947637003.818383
-y predicted = 3382138975.0035877
-error 6.581780135852601e+18
- y tested = 997516184.7000968
-y predicted = 3242838034.867201
-error 5.041470210837826e+18
- y tested = 6532788063.289651
-y predicted = 5503410026.570281
-error 1.0596191424802244e+18
- y tested = 1980229389.772511
-y predicted = 3550642370.601934
-error 2.4661969303575537e+18
- y tested = 5035525633.343237
-y predicted = 4905815329.8454485
-error 1.6824762833488386e+16
- y tested = 5026691733.102776
-y predicted = 4804904446.802315
-error 4.918960036452258e+16
- y tested = 1014996574.3865615
-y predicted = 3502634347.7826934
-error 6.188341691627265e+18
- y tested = 7665772326.561901
-y predicted = 5100555900.260429
-error 6.580335313766894e+18
- y tested = 3029054692.61153
-y predicted = 3672110140.694916
-error 4.135203093097243e+17
- y tested = 4062233415.93208
-y predicted = 3719511629.364893
-error 1.1745822298780437e+17
- y tested = 5822958761.806049
-y predicted = 5184213413.832768
-error 4.079956195575077e+17
- y tested = 6611133148.221605
-y predicted = 5508255868.493022
-error 1.21633829414152e+18
- y tested = 5377240292.736961
-y predicted = 3133092150.0826526
-error 5.036200886178784e+18
-error squared vector [1.299849778913887e+19, 2.411407407537545e+18, 1.301296657773431e+16, 1.508524897893935e+19, 8.348859075611646e+16, 9.31994323003687e+18, 7.926826654799452e+17, 6.581780135852601e+18, 5.041470210837826e+18, 1.0596191424802244e+18, 2.4661969303575537e+18, 1.6824762833488386e+16, 4.918960036452258e+16, 6.188341691627265e+18, 6.580335313766894e+18, 4.135203093097243e+17, 1.1745822298780437e+17, 4.079956195575077e+17, 1.21633829414152e+18, 5.036200886178784e+18]
-Total loo_error 3.7939776374381076e+18
-iteration 3current difference of loo_error 1.8381795720909993e+18
- getting loo error of with lamda = 0.8841870581070282, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3598640243.494825
-error 1.2950211601500717e+19
- y tested = 5326600510.288329
-y predicted = 3773444644.361225
-error 2.412293143863772e+18
- y tested = 5072151352.996373
-y predicted = 5200932492.3521
-error 1.6584581853759228e+16
- y tested = 7650055845.407672
-y predicted = 3775183159.1006327
-error 1.501463833508833e+19
- y tested = 5789616901.049658
-y predicted = 5525062563.783109
-error 6.9988997366543016e+16
- y tested = 8224428196.629629
-y predicted = 5194104340.322496
-error 9.182862674104132e+18
- y tested = 4059018123.5159216
-y predicted = 4959540346.509266
-error 8.109402741048745e+17
- y tested = 5947637003.818383
-y predicted = 3379694056.08284
-error 6.594330982824711e+18
- y tested = 997516184.7000968
-y predicted = 3229204579.7655964
-error 4.980433092670024e+18
- y tested = 6532788063.289651
-y predicted = 5534010504.136309
-error 9.975566126683081e+17
- y tested = 1980229389.772511
-y predicted = 3546097329.4653554
-error 2.4519424045579136e+18
- y tested = 5035525633.343237
-y predicted = 4915791369.760334
-error 1.433629387574007e+16
- y tested = 5026691733.102776
-y predicted = 4815524805.478546
-error 4.459147132225655e+16
- y tested = 1014996574.3865615
-y predicted = 3490434022.156737
-error 6.12779055782292e+18
- y tested = 7665772326.561901
-y predicted = 5124284167.159747
-error 6.459162064381349e+18
- y tested = 3029054692.61153
-y predicted = 3673287333.8694615
-error 4.1503569606217094e+17
- y tested = 4062233415.93208
-y predicted = 3719813098.087683
-error 1.1725167407265758e+17
- y tested = 5822958761.806049
-y predicted = 5204884201.644392
-error 3.820161619190262e+17
- y tested = 6611133148.221605
-y predicted = 5530959595.16894
-error 1.16677490471442e+18
- y tested = 5377240292.736961
-y predicted = 3127704267.3833137
-error 5.060412329363887e+18
-error squared vector [1.2950211601500717e+19, 2.412293143863772e+18, 1.6584581853759228e+16, 1.501463833508833e+19, 6.9988997366543016e+16, 9.182862674104132e+18, 8.109402741048745e+17, 6.594330982824711e+18, 4.980433092670024e+18, 9.975566126683081e+17, 2.4519424045579136e+18, 1.433629387574007e+16, 4.459147132225655e+16, 6.12779055782292e+18, 6.459162064381349e+18, 4.1503569606217094e+17, 1.1725167407265758e+17, 3.820161619190262e+17, 1.16677490471442e+18, 5.060412329363887e+18]
-Total loo_error 3.763457692706875e+18
-iteration 4current difference of loo_error 1.8076596273597665e+18
- getting loo error of with lamda = 0.8573935109219668, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3591590915.2214427
-error 1.28995253017026e+19
- y tested = 5326600510.288329
-y predicted = 3773040911.937791
-error 2.413547425627086e+18
- y tested = 5072151352.996373
-y predicted = 5215188685.382635
-error 2.045967845617798e+16
- y tested = 7650055845.407672
-y predicted = 3784312884.128424
-error 1.4943968642680048e+19
- y tested = 5789616901.049658
-y predicted = 5549048253.150802
-error 5.787327435188383e+16
- y tested = 8224428196.629629
-y predicted = 5216393706.115382
-error 9.048271496123305e+18
- y tested = 4059018123.5159216
-y predicted = 4969459147.168399
-error 8.289028575493706e+17
- y tested = 5947637003.818383
-y predicted = 3377202568.966538
-error 6.607133183872125e+18
- y tested = 997516184.7000968
-y predicted = 3215191440.272373
-error 4.91808353917756e+18
- y tested = 6532788063.289651
-y predicted = 5564402576.197403
-error 9.377704516108904e+17
- y tested = 1980229389.772511
-y predicted = 3541399292.0291023
-error 2.437251463711855e+18
- y tested = 5035525633.343237
-y predicted = 4925552266.298877
-error 1.2094141459073562e+16
- y tested = 5026691733.102776
-y predicted = 4825930665.165652
-error 4.030500639925424e+16
- y tested = 1014996574.3865615
-y predicted = 3477898397.3818216
-error 6.065885389713376e+18
- y tested = 7665772326.561901
-y predicted = 5147736876.115232
-error 6.340502529706157e+18
- y tested = 3029054692.61153
-y predicted = 3674477383.972559
-error 4.165704505237143e+17
- y tested = 4062233415.93208
-y predicted = 3720046956.365502
-error 1.1709157311070926e+17
- y tested = 5822958761.806049
-y predicted = 5225287012.929135
-error 3.57211519405589e+17
- y tested = 6611133148.221605
-y predicted = 5553310575.426192
-error 1.1189885955155068e+18
- y tested = 5377240292.736961
-y predicted = 3122245096.748953
-error 5.085003333928997e+18
-error squared vector [1.28995253017026e+19, 2.413547425627086e+18, 2.045967845617798e+16, 1.4943968642680048e+19, 5.787327435188383e+16, 9.048271496123305e+18, 8.289028575493706e+17, 6.607133183872125e+18, 4.91808353917756e+18, 9.377704516108904e+17, 2.437251463711855e+18, 1.2094141459073562e+16, 4.030500639925424e+16, 6.065885389713376e+18, 6.340502529706157e+18, 4.165704505237143e+17, 1.1709157311070926e+17, 3.57211519405589e+17, 1.1189885955155068e+18, 5.085003333928997e+18]
-Total loo_error 3.733321992731264e+18
-iteration 5current difference of loo_error 1.7775239273841556e+18
- getting loo error of with lamda = 0.83141188940918, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3584200108.250939
-error 1.2846490415388674e+19
- y tested = 5326600510.288329
-y predicted = 3772528916.4871354
-error 2.4151385186597827e+18
- y tested = 5072151352.996373
-y predicted = 5228991686.107982
-error 2.459889009056032e+16
- y tested = 7650055845.407672
-y predicted = 3793480611.363389
-error 1.4873172535843715e+19
- y tested = 5789616901.049658
-y predicted = 5572623598.358003
-error 4.708609341303228e+16
- y tested = 8224428196.629629
-y predicted = 5238439921.67639
-error 8.916125978158222e+18
- y tested = 4059018123.5159216
-y predicted = 4979106258.927223
-error 8.465621769246456e+17
- y tested = 5947637003.818383
-y predicted = 3374676861.2043667
-error 6.62012389548034e+18
- y tested = 997516184.7000968
-y predicted = 3200805410.6865525
-error 4.854483413347996e+18
- y tested = 6532788063.289651
-y predicted = 5594580549.805708
-error 8.80233338357723e+17
- y tested = 1980229389.772511
-y predicted = 3536558306.769762
-error 2.4221596978818365e+18
- y tested = 5035525633.343237
-y predicted = 4935103683.51369
-error 1.008456800756804e+16
- y tested = 5026691733.102776
-y predicted = 4836127190.522383
-error 3.631484488887435e+16
- y tested = 1014996574.3865615
-y predicted = 3465035603.175804
-error 6.002691242590536e+18
- y tested = 7665772326.561901
-y predicted = 5170911524.439333
-error 6.224330421967664e+18
- y tested = 3029054692.61153
-y predicted = 3675691361.0763993
-error 4.1813898100334554e+17
- y tested = 4062233415.93208
-y predicted = 3720224372.0371017
-error 1.1697018610595702e+17
- y tested = 5822958761.806049
-y predicted = 5245420420.137871
-error 3.3355053609682976e+17
- y tested = 6611133148.221605
-y predicted = 5575306888.990076
-error 1.0729360393135832e+18
- y tested = 5377240292.736961
-y predicted = 3116726007.9371524
-error 5.109924831783992e+18
-error squared vector [1.2846490415388674e+19, 2.4151385186597827e+18, 2.459889009056032e+16, 1.4873172535843715e+19, 4.708609341303228e+16, 8.916125978158222e+18, 8.465621769246456e+17, 6.62012389548034e+18, 4.854483413347996e+18, 8.80233338357723e+17, 2.4221596978818365e+18, 1.008456800756804e+16, 3.631484488887435e+16, 6.002691242590536e+18, 6.224330421967664e+18, 4.1813898100334554e+17, 1.1697018610595702e+17, 3.3355053609682976e+17, 1.0729360393135832e+18, 5.109924831783992e+18]
-Total loo_error 3.703555830265243e+18
-iteration 6current difference of loo_error 1.7477577649181348e+18
- getting loo error of with lamda = 0.8062175897604169, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3576472871.03551
-error 1.2791158196656904e+19
- y tested = 5326600510.288329
-y predicted = 3771918803.9954195
-error 2.417035207881833e+18
- y tested = 5072151352.996373
-y predicted = 5242338987.221143
-error 2.896383084302397e+16
- y tested = 7650055845.407672
-y predicted = 3802695111.7190347
-error 1.480218461512917e+19
- y tested = 5789616901.049658
-y predicted = 5595782331.050898
-error 3.757184052660428e+16
- y tested = 8224428196.629629
-y predicted = 5260245085.880176
-error 8.786381514052307e+18
- y tested = 4059018123.5159216
-y predicted = 4988486108.782527
-error 8.639107356355625e+17
- y tested = 5947637003.818383
-y predicted = 3372129134.868243
-error 6.633240783024091e+18
- y tested = 997516184.7000968
-y predicted = 3186053186.6122737
-error 4.78969420873874e+18
- y tested = 6532788063.289651
-y predicted = 5624538686.249706
-error 8.249169308934476e+17
- y tested = 1980229389.772511
-y predicted = 3531584230.3181047
-error 2.4067018412842445e+18
- y tested = 5035525633.343237
-y predicted = 4944451196.167845
-error 8294553106814452.0
- y tested = 5026691733.102776
-y predicted = 4846119470.934019
-error 3.2606341864742124e+16
- y tested = 1014996574.3865615
-y predicted = 3451853627.9879
-error 5.938272299686597e+18
- y tested = 7665772326.561901
-y predicted = 5193805799.912397
-error 6.110618508875611e+18
- y tested = 3029054692.61153
-y predicted = 3676940008.7343664
-error 4.197553828475879e+17
- y tested = 4062233415.93208
-y predicted = 3720356351.9144707
-error 1.168799269013004e+17
- y tested = 5822958761.806049
-y predicted = 5265282985.130403
-error 3.1100227189078586e+17
- y tested = 6611133148.221605
-y predicted = 5596946795.311624
-error 1.02857395842885e+18
- y tested = 5377240292.736961
-y predicted = 3111158130.705461
-error 5.135128365077359e+18
-error squared vector [1.2791158196656904e+19, 2.417035207881833e+18, 2.896383084302397e+16, 1.480218461512917e+19, 3.757184052660428e+16, 8.786381514052307e+18, 8.639107356355625e+17, 6.633240783024091e+18, 4.78969420873874e+18, 8.249169308934476e+17, 2.4067018412842445e+18, 8294553106814452.0, 3.2606341864742124e+16, 5.938272299686597e+18, 6.110618508875611e+18, 4.197553828475879e+17, 1.168799269013004e+17, 3.1100227189078586e+17, 1.02857395842885e+18, 5.135128365077359e+18]
-Total loo_error 3.674144565667279e+18
-iteration 7current difference of loo_error 1.7183465003201705e+18
- getting loo error of with lamda = 0.7817867537373739, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3568414159.1239395
-error 1.2733579610441476e+19
- y tested = 5326600510.288329
-y predicted = 3771220554.503451
-error 2.4192068068573696e+18
- y tested = 5072151352.996373
-y predicted = 5255228220.057601
-error 3.3517139252954476e+16
- y tested = 7650055845.407672
-y predicted = 3811964979.639121
-error 1.4730941493895985e+19
- y tested = 5789616901.049658
-y predicted = 5618518379.469066
-error 2.927470408706436e+16
- y tested = 8224428196.629629
-y predicted = 5281811567.739046
-error 8.658992624623379e+18
- y tested = 4059018123.5159216
-y predicted = 4997603095.083224
-error 8.809417488519944e+17
- y tested = 5947637003.818383
-y predicted = 3369571437.920951
-error 6.646422062066048e+18
- y tested = 997516184.7000968
-y predicted = 3170941365.920162
-error 4.723777018361473e+18
- y tested = 6532788063.289651
-y predicted = 5654271210.643125
-error 7.717918603839585e+17
- y tested = 1980229389.772511
-y predicted = 3526486720.928589
-error 2.3909117341539164e+18
- y tested = 5035525633.343237
-y predicted = 4953600286.490089
-error 6711762457008526.0
- y tested = 5026691733.102776
-y predicted = 4855912517.112752
-error 2.9165540614167136e+16
- y tested = 1014996574.3865615
-y predicted = 3438360318.2966022
-error 5.87269183529769e+18
- y tested = 7665772326.561901
-y predicted = 5216417593.524561
-error 5.99933860825242e+18
- y tested = 3029054692.61153
-y predicted = 3678233734.2516184
-error 4.214334281047438e+17
- y tested = 4062233415.93208
-y predicted = 3720453733.179434
-error 1.1681335154249933e+17
- y tested = 5822958761.806049
-y predicted = 5284873264.135572
-error 2.895360028032848e+17
- y tested = 6611133148.221605
-y predicted = 5618228740.272021
-error 9.858591633257139e+17
- y tested = 5377240292.736961
-y predicted = 3105552344.607959
-error 5.160566133674557e+18
-error squared vector [1.2733579610441476e+19, 2.4192068068573696e+18, 3.3517139252954476e+16, 1.4730941493895985e+19, 2.927470408706436e+16, 8.658992624623379e+18, 8.809417488519944e+17, 6.646422062066048e+18, 4.723777018361473e+18, 7.717918603839585e+17, 2.3909117341539164e+18, 6711762457008526.0, 2.9165540614167136e+16, 5.87269183529769e+18, 5.99933860825242e+18, 4.214334281047438e+17, 1.1681335154249933e+17, 2.895360028032848e+17, 9.858591633257139e+17, 5.160566133674557e+18]
-Total loo_error 3.645073631452385e+18
-iteration 8current difference of loo_error 1.6892755661052764e+18
- getting loo error of with lamda = 0.7580962460786657, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3560028837.1227393
-error 1.2673805320552145e+19
- y tested = 5326600510.288329
-y predicted = 3770443972.8785377
-error 2.4216231689232317e+18
- y tested = 5072151352.996373
-y predicted = 5267657163.831264
-error 3.822252207020794e+16
- y tested = 7650055845.407672
-y predicted = 3821298626.264606
-error 1.4659381843140143e+19
- y tested = 5789616901.049658
-y predicted = 5640825885.279986
-error 2.2138766373770616e+16
- y tested = 8224428196.629629
-y predicted = 5303142011.046812
-error 8.533912978077005e+18
- y tested = 4059018123.5159216
-y predicted = 5006461585.380367
-error 8.976491134296854e+17
- y tested = 5947637003.818383
-y predicted = 3367015655.869266
-error 6.659606541490719e+18
- y tested = 997516184.7000968
-y predicted = 3155476450.473757
-error 4.656792508657924e+18
- y tested = 6532788063.289651
-y predicted = 5683772321.40439
-error 7.208277299689795e+17
- y tested = 1980229389.772511
-y predicted = 3521275232.720565
-error 2.374822290067478e+18
- y tested = 5035525633.343237
-y predicted = 4962556341.092014
-error 5324517611644336.0
- y tested = 5026691733.102776
-y predicted = 4865511257.858087
-error 2.59791456001038e+16
- y tested = 1014996574.3865615
-y predicted = 3424563378.737093
-error 5.806012184628033e+18
- y tested = 7665772326.561901
-y predicted = 5238745011.555806
-error 5.890461587785694e+18
- y tested = 3029054692.61153
-y predicted = 3679582599.891866
-error 4.2318655815053395e+17
- y tested = 4062233415.93208
-y predicted = 3720527175.1362324
-error 1.1676315499882966e+17
- y tested = 5822958761.806049
-y predicted = 5304189812.806073
-error 2.6912122244653987e+17
- y tested = 6611133148.221605
-y predicted = 5639151362.195066
-error 9.447485923673403e+17
- y tested = 5377240292.736961
-y predicted = 3099919269.547498
-error 5.186191042660703e+18
-error squared vector [1.2673805320552145e+19, 2.4216231689232317e+18, 3.822252207020794e+16, 1.4659381843140143e+19, 2.2138766373770616e+16, 8.533912978077005e+18, 8.976491134296854e+17, 6.659606541490719e+18, 4.656792508657924e+18, 7.208277299689795e+17, 2.374822290067478e+18, 5324517611644336.0, 2.59791456001038e+16, 5.806012184628033e+18, 5.890461587785694e+18, 4.2318655815053395e+17, 1.1676315499882966e+17, 2.6912122244653987e+17, 9.447485923673403e+17, 5.186191042660703e+18]
-Total loo_error 3.616328539450035e+18
-iteration 9current difference of loo_error 1.6605304741029268e+18
- getting loo error of with lamda = 0.7351236325914333, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+--- Neighbour 2 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.96583597689362 mAh) it is NOT far from the median.
+--- Median :36.96583597689362, the gap is : 10
+--- So No we don't romove this configuration '3000-1100'
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '3000-2200'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3551321681.2475753
-error 1.2611885683107217e+19
- y tested = 5326600510.288329
-y predicted = 3769598679.908061
-error 2.424254699807505e+18
- y tested = 5072151352.996373
-y predicted = 5279623754.658532
-error 4.304479745146422e+16
- y tested = 7650055845.407672
-y predicted = 3830704272.8559217
-error 1.4587446434753528e+19
- y tested = 5789616901.049658
-y predicted = 5662699219.836755
-error 1.6108097804460076e+16
- y tested = 8224428196.629629
-y predicted = 5324239338.025906
-error 8.411095415569168e+18
- y tested = 4059018123.5159216
-y predicted = 5015065914.318469
-error 9.140273782984315e+17
- y tested = 5947637003.818383
-y predicted = 3364473503.6739717
-error 6.672733668478328e+18
- y tested = 997516184.7000968
-y predicted = 3139664848.597699
-error 4.588800898238283e+18
- y tested = 6532788063.289651
-y predicted = 5713036199.605766
-error 6.719931180132022e+17
- y tested = 1980229389.772511
-y predicted = 3515959010.687194
-error 2.3584654685547556e+18
- y tested = 5035525633.343237
-y predicted = 4971324648.0369005
-error 4121766514304422.5
- y tested = 5026691733.102776
-y predicted = 4874920536.975964
-error 2.3034495973763228e+16
- y tested = 1014996574.3865615
-y predicted = 3410470373.033928
-error 5.738294720006044e+18
- y tested = 7665772326.561901
-y predicted = 5260786386.93669
-error 5.783957369794958e+18
- y tested = 3029054692.61153
-y predicted = 3680996315.0192494
-error 4.2502787902760966e+17
- y tested = 4062233415.93208
-y predicted = 3720587151.3111854
-error 1.1672217012941022e+17
- y tested = 5822958761.806049
-y predicted = 5323231191.368071
-error 2.49727644655845e+17
- y tested = 6611133148.221605
-y predicted = 5659713497.147137
-error 9.051993524506636e+17
- y tested = 5377240292.736961
-y predicted = 3094269257.0830817
-error 5.211956749634548e+18
-error squared vector [1.2611885683107217e+19, 2.424254699807505e+18, 4.304479745146422e+16, 1.4587446434753528e+19, 1.6108097804460076e+16, 8.411095415569168e+18, 9.140273782984315e+17, 6.672733668478328e+18, 4.588800898238283e+18, 6.719931180132022e+17, 2.3584654685547556e+18, 4121766514304422.5, 2.3034495973763228e+16, 5.738294720006044e+18, 5.783957369794958e+18, 4.2502787902760966e+17, 1.1672217012941022e+17, 2.49727644655845e+17, 9.051993524506636e+17, 5.211956749634548e+18]
-Total loo_error 3.587894890413175e+18
-iteration 10current difference of loo_error 1.6320968250660664e+18
- getting loo error of with lamda = 0.7128471589068445, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3542297382.443786
-error 1.2547870745077715e+19
- y tested = 5326600510.288329
-y predicted = 3768694103.7137947
-error 2.4270723716459786e+18
- y tested = 5072151352.996373
-y predicted = 5291126094.351319
-error 4.794993735146556e+16
- y tested = 7650055845.407672
-y predicted = 3840189944.4594073
-error 1.4515078183208331e+19
- y tested = 5789616901.049658
-y predicted = 5684132999.808023
-error 1.1126853421154872e+16
- y tested = 8224428196.629629
-y predicted = 5345106751.944416
-error 8.290491981824142e+18
- y tested = 4059018123.5159216
-y predicted = 5023420381.568687
-error 9.300717153372736e+17
- y tested = 5947637003.818383
-y predicted = 3361956517.8877854
-error 6.685743575322292e+18
- y tested = 997516184.7000968
-y predicted = 3123512878.2610874
-error 4.5198619410322647e+18
- y tested = 6532788063.289651
-y predicted = 5742057018.174392
-error 6.252555857090701e+17
- y tested = 1980229389.772511
-y predicted = 3510547086.4644456
-error 2.341872252808508e+18
- y tested = 5035525633.343237
-y predicted = 4979910394.050641
-error 3093054841572699.0
- y tested = 5026691733.102776
-y predicted = 4884145110.355529
-error 2.0319539656645884e+16
- y tested = 1014996574.3865615
-y predicted = 3396088725.711416
-error 5.669599833100824e+18
- y tested = 7665772326.561901
-y predicted = 5282540289.836741
-error 5.679794940873153e+18
- y tested = 3029054692.61153
-y predicted = 3682484229.1704016
-error 4.269701592475419e+17
- y tested = 4062233415.93208
-y predicted = 3720643941.889808
-error 1.1668336877647576e+17
- y tested = 5822958761.806049
-y predicted = 5341995969.867264
-error 2.3132520722955152e+17
- y tested = 6611133148.221605
-y predicted = 5679914183.509864
-error 8.671687602388076e+17
- y tested = 5377240292.736961
-y predicted = 3088612382.4888616
-error 5.237817711566585e+18
-error squared vector [1.2547870745077715e+19, 2.4270723716459786e+18, 4.794993735146556e+16, 1.4515078183208331e+19, 1.1126853421154872e+16, 8.290491981824142e+18, 9.300717153372736e+17, 6.685743575322292e+18, 4.5198619410322647e+18, 6.252555857090701e+17, 2.341872252808508e+18, 3093054841572699.0, 2.0319539656645884e+16, 5.669599833100824e+18, 5.679794940873153e+18, 4.269701592475419e+17, 1.1668336877647576e+17, 2.3132520722955152e+17, 8.671687602388076e+17, 5.237817711566585e+18]
-Total loo_error 3.559758385913468e+18
-iteration 11current difference of loo_error 1.6039603205663596e+18
- getting loo error of with lamda = 0.6912457298793644, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3532960550.0522466
-error 1.2481810247636644e+19
- y tested = 5326600510.288329
-y predicted = 3767739471.486086
-error 2.430047738295609e+18
- y tested = 5072151352.996373
-y predicted = 5302162458.961539
-error 5.290510886731886e+16
- y tested = 7650055845.407672
-y predicted = 3849763463.806752
-error 1.4442222185653991e+19
- y tested = 5789616901.049658
-y predicted = 5705122102.134376
-error 7139371043733982.0
- y tested = 8224428196.629629
-y predicted = 5365747738.674636
-error 8.17205396069377e+18
- y tested = 4059018123.5159216
-y predicted = 5031529249.80542
-error 9.457778907568686e+17
- y tested = 5947637003.818383
-y predicted = 3359476048.9914446
-error 6.698577128090691e+18
- y tested = 997516184.7000968
-y predicted = 3107026770.9459743
-error 4.450034913483426e+18
- y tested = 6532788063.289651
-y predicted = 5770828950.930665
-error 5.805816889068937e+17
- y tested = 1980229389.772511
-y predicted = 3505048274.849517
-error 2.3250726322874834e+18
- y tested = 5035525633.343237
-y predicted = 4988318661.865575
-error 2228498156092801.8
- y tested = 5026691733.102776
-y predicted = 4893189643.203271
-error 1.7822808007535424e+16
- y tested = 1014996574.3865615
-y predicted = 3381425724.550376
-error 5.599986922745034e+18
- y tested = 7665772326.561901
-y predicted = 5304005537.431957
-error 5.577942366237165e+18
- y tested = 3029054692.61153
-y predicted = 3684055326.0481095
-error 4.2902582980232064e+17
- y tested = 4062233415.93208
-y predicted = 3720707626.4820223
-error 1.1663986485948501e+17
- y tested = 5822958761.806049
-y predicted = 5360482733.514173
-error 2.1388407674462883e+17
- y tested = 6611133148.221605
-y predicted = 5699752665.815408
-error 8.306143837109533e+17
- y tested = 5377240292.736961
-y predicted = 3082958437.557636
-error 5.263729231005088e+18
-error squared vector [1.2481810247636644e+19, 2.430047738295609e+18, 5.290510886731886e+16, 1.4442222185653991e+19, 7139371043733982.0, 8.17205396069377e+18, 9.457778907568686e+17, 6.698577128090691e+18, 4.450034913483426e+18, 5.805816889068937e+17, 2.3250726322874834e+18, 2228498156092801.8, 1.7822808007535424e+16, 5.599986922745034e+18, 5.577942366237165e+18, 4.2902582980232064e+17, 1.1663986485948501e+17, 2.1388407674462883e+17, 8.306143837109533e+17, 5.263729231005088e+18]
-Total loo_error 3.5319048423492367e+18
-iteration 12current difference of loo_error 1.5761067770021284e+18
- getting loo error of with lamda = 0.6702988896102927, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3523315715.995374
-error 1.2413753633992776e+19
- y tested = 5326600510.288329
-y predicted = 3766743801.5370526
-error 2.433152951836365e+18
- y tested = 5072151352.996373
-y predicted = 5312731307.061485
-error 5.787871429797146e+16
- y tested = 7650055845.407672
-y predicted = 3859432445.436196
-error 1.4368825760411312e+19
- y tested = 5789616901.049658
-y predicted = 5725661678.269702
-error 4090270520833785.5
- y tested = 8224428196.629629
-y predicted = 5386166067.170037
-error 8.055731915524497e+18
- y tested = 4059018123.5159216
-y predicted = 5039396742.7296505
-error 9.611422370114176e+17
- y tested = 5947637003.818383
-y predicted = 3357043253.897771
-error 6.71117597712774e+18
- y tested = 997516184.7000968
-y predicted = 3090212676.167903
-error 4.3793786054016655e+18
- y tested = 6532788063.289651
-y predicted = 5799346181.452797
-error 5.3793699403238566e+17
- y tested = 1980229389.772511
-y predicted = 3499471171.0545893
-error 2.3080955899931423e+18
- y tested = 5035525633.343237
-y predicted = 4996554427.688956
-error 1518754870148237.0
- y tested = 5026691733.102776
-y predicted = 4902058707.43474
-error 1.5533391087169198e+16
- y tested = 1014996574.3865615
-y predicted = 3366488523.7565665
-error 5.529514387951947e+18
- y tested = 7665772326.561901
-y predicted = 5325181202.807836
-error 5.478366808596319e+18
- y tested = 3029054692.61153
-y predicted = 3685718218.4248357
-error 4.312069861335622e+17
- y tested = 4062233415.93208
-y predicted = 3720788077.2062373
-error 1.165849193376053e+17
- y tested = 5822958761.806049
-y predicted = 5378690088.132238
-error 1.9737465440788714e+17
- y tested = 6611133148.221605
-y predicted = 5719228397.839838
-error 7.954940837535626e+17
- y tested = 5377240292.736961
-y predicted = 3077316924.1386747
-error 5.28964750142449e+18
-error squared vector [1.2413753633992776e+19, 2.433152951836365e+18, 5.787871429797146e+16, 1.4368825760411312e+19, 4090270520833785.5, 8.055731915524497e+18, 9.611422370114176e+17, 6.71117597712774e+18, 4.3793786054016655e+18, 5.3793699403238566e+17, 2.3080955899931423e+18, 1518754870148237.0, 1.5533391087169198e+16, 5.529514387951947e+18, 5.478366808596319e+18, 4.312069861335622e+17, 1.165849193376053e+17, 1.9737465440788714e+17, 7.954940837535626e+17, 5.28964750142449e+18]
-Total loo_error 3.50432020688564e+18
-iteration 13current difference of loo_error 1.5485221415385318e+18
- getting loo error of with lamda = 0.6499868020766475, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3513367339.455706
-error 1.2343750061368504e+19
- y tested = 5326600510.288329
-y predicted = 3765715895.6724763
-error 2.436360780144479e+18
- y tested = 5072151352.996373
-y predicted = 5322831287.745963
-error 6.284042968605866e+16
- y tested = 7650055845.407672
-y predicted = 3869204290.024581
-error 1.4294838483842738e+19
- y tested = 5789616901.049658
-y predicted = 5745747167.671624
-error 1924553506659758.8
- y tested = 8224428196.629629
-y predicted = 5406365788.842774
-error 7.941475734181446e+18
- y tested = 4059018123.5159216
-y predicted = 5047027043.143368
-error 9.761616252633934e+17
- y tested = 5947637003.818383
-y predicted = 3354669088.593167
-error 6.723482609387405e+18
- y tested = 997516184.7000968
-y predicted = 3073076666.612236
-error 4.3079513140753516e+18
- y tested = 6532788063.289651
-y predicted = 5827602911.759002
-error 4.9728609793930464e+17
- y tested = 1980229389.772511
-y predicted = 3493824148.678829
-error 2.2909690941886756e+18
- y tested = 5035525633.343237
-y predicted = 5004622558.788263
-error 955000016950256.9
- y tested = 5026691733.102776
-y predicted = 4910756779.224682
-error 1.3440913530715718e+16
- y tested = 1014996574.3865615
-y predicted = 3351284147.8028207
-error 5.458239625699233e+18
- y tested = 7665772326.561901
-y predicted = 5346066622.9591675
-error 5.381034551327054e+18
- y tested = 3029054692.61153
-y predicted = 3687481143.9406333
-error 4.335253918098363e+17
- y tested = 4062233415.93208
-y predicted = 3720894952.083277
-error 1.165119469026603e+17
- y tested = 5822958761.806049
-y predicted = 5396616665.71308
-error 1.8176758290094637e+17
- y tested = 6611133148.221605
-y predicted = 5738341044.954714
-error 7.617660555250442e+17
- y tested = 5377240292.736961
-y predicted = 3071697048.396892
-error 5.315529651522132e+18
-error squared vector [1.2343750061368504e+19, 2.436360780144479e+18, 6.284042968605866e+16, 1.4294838483842738e+19, 1924553506659758.8, 7.941475734181446e+18, 9.761616252633934e+17, 6.723482609387405e+18, 4.3079513140753516e+18, 4.9728609793930464e+17, 2.2909690941886756e+18, 955000016950256.9, 1.3440913530715718e+16, 5.458239625699233e+18, 5.381034551327054e+18, 4.335253918098363e+17, 1.165119469026603e+17, 1.8176758290094637e+17, 7.617660555250442e+17, 5.315529651522132e+18]
-Total loo_error 3.476990575140929e+18
-iteration 14current difference of loo_error 1.5211925097938207e+18
- getting loo error of with lamda = 0.6302902323470521, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3503119812.0180717
-error 1.2271848416769675e+19
- y tested = 5326600510.288329
-y predicted = 3764664331.882452
-error 2.439644625413156e+18
- y tested = 5072151352.996373
-y predicted = 5332461248.343294
-error 6.776124161552494e+16
- y tested = 7650055845.407672
-y predicted = 3879086178.9196224
-error 1.422021222557299e+19
- y tested = 5789616901.049658
-y predicted = 5765374310.509513
-error 587703196097124.0
- y tested = 8224428196.629629
-y predicted = 5426351235.829068
-error 7.829234678562904e+18
- y tested = 4059018123.5159216
-y predicted = 5054424291.08082
-error 9.908334384262387e+17
- y tested = 5947637003.818383
-y predicted = 3352364300.8865156
-error 6.735440402583282e+18
- y tested = 997516184.7000968
-y predicted = 3055624743.847315
-error 4.2358108412350377e+18
- y tested = 6532788063.289651
-y predicted = 5855593370.801722
-error 4.585926515338212e+17
- y tested = 1980229389.772511
-y predicted = 3488115358.378591
-error 2.2737200943190963e+18
- y tested = 5035525633.343237
-y predicted = 5012527811.186485
-error 528899823953576.3
- y tested = 5026691733.102776
-y predicted = 4919288236.716719
-error 1.1535511035949738e+16
- y tested = 1014996574.3865615
-y predicted = 3335819495.903968
-error 5.38621903304059e+18
- y tested = 7665772326.561901
-y predicted = 5366661405.852723
-error 5.285911025724204e+18
- y tested = 3029054692.61153
-y predicted = 3689351961.7772274
-error 4.359924836676777e+17
- y tested = 4062233415.93208
-y predicted = 3721037688.7318077
-error 1.1641452425972248e+17
- y tested = 5822958761.806049
-y predicted = 5414261130.083567
-error 1.6703375417556608e+17
- y tested = 6611133148.221605
-y predicted = 5757090485.742094
-error 7.293888693350924e+17
- y tested = 5377240292.736961
-y predicted = 3066107715.7772946
-error 5.34133378828423e+18
-error squared vector [1.2271848416769675e+19, 2.439644625413156e+18, 6.776124161552494e+16, 1.422021222557299e+19, 587703196097124.0, 7.829234678562904e+18, 9.908334384262387e+17, 6.735440402583282e+18, 4.2358108412350377e+18, 4.585926515338212e+17, 2.2737200943190963e+18, 528899823953576.3, 1.1535511035949738e+16, 5.38621903304059e+18, 5.285911025724204e+18, 4.359924836676777e+17, 1.1641452425972248e+17, 1.6703375417556608e+17, 7.293888693350924e+17, 5.34133378828423e+18]
-Total loo_error 3.4499022104287406e+18
-iteration 15current difference of loo_error 1.4941041450816323e+18
- getting loo error of with lamda = 0.6111905283668384, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3492577463.244267
-error 1.219809733617966e+19
- y tested = 5326600510.288329
-y predicted = 3763597457.3514833
-error 2.4429785434899005e+18
- y tested = 5072151352.996373
-y predicted = 5341620241.82369
-error 7.261348204582906e+16
- y tested = 7650055845.407672
-y predicted = 3889085068.8621516
-error 1.4144901182029414e+19
- y tested = 5789616901.049658
-y predicted = 5784539159.563493
-error 25783458600321.617
- y tested = 8224428196.629629
-y predicted = 5446127018.13476
-error 7.718957438425979e+18
- y tested = 4059018123.5159216
-y predicted = 5061592582.00308
-error 1.0051555448108197e+18
- y tested = 5947637003.818383
-y predicted = 3350139423.2358923
-error 6.746993681131894e+18
- y tested = 997516184.7000968
-y predicted = 3037862844.5725007
-error 4.163014492452475e+18
- y tested = 6532788063.289651
-y predicted = 5883311822.770657
-error 4.218193869986866e+17
- y tested = 1980229389.772511
-y predicted = 3482352727.212947
-error 2.2563745208831936e+18
- y tested = 5035525633.343237
-y predicted = 5020274827.461109
-error 232587080054342.75
- y tested = 5026691733.102776
-y predicted = 4927657357.894216
-error 9807807472949842.0
- y tested = 1014996574.3865615
-y predicted = 3320101347.0806456
-error 5.313508013097045e+18
- y tested = 7665772326.561901
-y predicted = 5386965436.524171
-error 5.192960842083431e+18
- y tested = 3029054692.61153
-y predicted = 3691338150.186631
-error 4.386193781776311e+17
- y tested = 4062233415.93208
-y predicted = 3721225498.357577
-error 1.1628639984849899e+17
- y tested = 5822958761.806049
-y predicted = 5431622182.689549
-error 1.5314431815460458e+17
- y tested = 6611133148.221605
-y predicted = 5775476812.882479
-error 6.983215107924188e+17
- y tested = 5377240292.736961
-y predicted = 3060557526.656355
-error 5.36701903865489e+18
-error squared vector [1.219809733617966e+19, 2.4429785434899005e+18, 7.261348204582906e+16, 1.4144901182029414e+19, 25783458600321.617, 7.718957438425979e+18, 1.0051555448108197e+18, 6.746993681131894e+18, 4.163014492452475e+18, 4.218193869986866e+17, 2.2563745208831936e+18, 232587080054342.75, 9807807472949842.0, 5.313508013097045e+18, 5.192960842083431e+18, 4.386193781776311e+17, 1.1628639984849899e+17, 1.5314431815460458e+17, 6.983215107924188e+17, 5.36701903865489e+18]
-Total loo_error 3.4230415643633987e+18
-iteration 16current difference of loo_error 1.4672434990162903e+18
- getting loo error of with lamda = 0.592669603295116, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3481744566.647951
-error 1.2122545226802237e+19
- y tested = 5326600510.288329
-y predicted = 3762523381.789178
-error 2.4463372638941507e+18
- y tested = 5072151352.996373
-y predicted = 5350307533.894265
-error 7.737086097170082e+16
- y tested = 7650055845.407672
-y predicted = 3899207686.8889446
-error 1.4068861908263328e+19
- y tested = 5789616901.049658
-y predicted = 5803238091.292726
-error 185536823637843.84
- y tested = 8224428196.629629
-y predicted = 5465698019.658672
-error 7.610592189330207e+18
- y tested = 4059018123.5159216
-y predicted = 5068535965.063698
-error 1.019126272403281e+18
- y tested = 5947637003.818383
-y predicted = 3348004765.6246815
-error 6.758087773855995e+18
- y tested = 997516184.7000968
-y predicted = 3019796847.3569093
-error 4.089619078555676e+18
- y tested = 6532788063.289651
-y predicted = 5910752575.203688
-error 3.869281484383425e+17
- y tested = 1980229389.772511
-y predicted = 3476543958.6389966
-error 2.2389572890020966e+18
- y tested = 5035525633.343237
-y predicted = 5027868134.641336
-error 58637286369607.57
- y tested = 5026691733.102776
-y predicted = 4935868318.6144285
-error 8248892619322089.0
- y tested = 1014996574.3865615
-y predicted = 3304136365.7654996
-error 5.240160984474409e+18
- y tested = 7665772326.561901
-y predicted = 5406978882.185336
-error 5.102147824358546e+18
- y tested = 3029054692.61153
-y predicted = 3693446804.8503222
-error 4.4141687880512416e+17
- y tested = 4062233415.93208
-y predicted = 3721467360.0295043
-error 1.161215048553972e+17
- y tested = 5822958761.806049
-y predicted = 5448698568.500604
-error 1.4007069229302957e+17
- y tested = 6611133148.221605
-y predicted = 5793500333.329867
-error 6.68523419987787e+17
- y tested = 5377240292.736961
-y predicted = 3055054772.6592846
-error 5.39254558965843e+18
-error squared vector [1.2122545226802237e+19, 2.4463372638941507e+18, 7.737086097170082e+16, 1.4068861908263328e+19, 185536823637843.84, 7.610592189330207e+18, 1.019126272403281e+18, 6.758087773855995e+18, 4.089619078555676e+18, 3.869281484383425e+17, 2.2389572890020966e+18, 58637286369607.57, 8248892619322089.0, 5.240160984474409e+18, 5.102147824358546e+18, 4.4141687880512416e+17, 1.161215048553972e+17, 1.4007069229302957e+17, 6.68523419987787e+17, 5.39254558965843e+18]
-Total loo_error 3.3963952986339533e+18
-iteration 17current difference of loo_error 1.440597233286845e+18
- getting loo error of with lamda = 0.5747099183770822, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3470625346.035715
-error 1.2045240291967089e+19
- y tested = 5326600510.288329
-y predicted = 3761449971.0838675
-error 2.4496962103720166e+18
- y tested = 5072151352.996373
-y predicted = 5358522609.770851
-error 8.200849670659398e+16
- y tested = 7650055845.407672
-y predicted = 3909460525.4071364
-error 1.3992053348009908e+19
- y tested = 5789616901.049658
-y predicted = 5821467816.055647
-error 1014480786718740.0
- y tested = 8224428196.629629
-y predicted = 5485069393.096228
-error 7.504086654495949e+18
- y tested = 4059018123.5159216
-y predicted = 5075258441.453744
-error 1.0327443838023662e+18
- y tested = 5947637003.818383
-y predicted = 3345970408.4599476
-error 6.768669073403954e+18
- y tested = 997516184.7000968
-y predicted = 3001432579.8222733
-error 4.015680918639459e+18
- y tested = 6532788063.289651
-y predicted = 5937909986.906654
-error 3.538799257611343e+17
- y tested = 1980229389.772511
-y predicted = 3470696533.1291404
-error 2.2214923054256712e+18
- y tested = 5035525633.343237
-y predicted = 5035312142.199006
-error 45578468664.99443
- y tested = 5026691733.102776
-y predicted = 4943925190.808064
-error 6850300523422204.0
- y tested = 1014996574.3865615
-y predicted = 3287931107.903022
-error 5.166231393651689e+18
- y tested = 7665772326.561901
-y predicted = 5426702196.3232155
-error 5.013435048127085e+18
- y tested = 3029054692.61153
-y predicted = 3695684638.042111
-error 4.443954841447795e+17
- y tested = 4062233415.93208
-y predicted = 3721772015.236956
-error 1.1591396536328555e+17
- y tested = 5822958761.806049
-y predicted = 5465489082.040247
-error 1.2778457195186531e+17
- y tested = 6611133148.221605
-y predicted = 5811161567.7919
-error 6.39954529495201e+17
- y tested = 5377240292.736961
-y predicted = 3049607433.6205196
-error 5.417874726838581e+18
-error squared vector [1.2045240291967089e+19, 2.4496962103720166e+18, 8.200849670659398e+16, 1.3992053348009908e+19, 1014480786718740.0, 7.504086654495949e+18, 1.0327443838023662e+18, 6.768669073403954e+18, 4.015680918639459e+18, 3.538799257611343e+17, 2.2214923054256712e+18, 45578468664.99443, 6850300523422204.0, 5.166231393651689e+18, 5.013435048127085e+18, 4.443954841447795e+17, 1.1591396536328555e+17, 1.2778457195186531e+17, 6.39954529495201e+17, 5.417874726838581e+18]
-Total loo_error 3.369950307752262e+18
-iteration 18current difference of loo_error 1.4141522424051538e+18
- getting loo error of with lamda = 0.5572944663353524, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3459223982.179083
-error 1.1966230558306374e+19
- y tested = 5326600510.288329
-y predicted = 3760384841.2819586
-error 2.4530315218410726e+18
- y tested = 5072151352.996373
-y predicted = 5366265180.617372
-error 8.650294359787435e+16
- y tested = 7650055845.407672
-y predicted = 3919849837.432479
-error 1.3914436861934225e+19
- y tested = 5789616901.049658
-y predicted = 5839225387.469328
-error 2461001924850593.0
- y tested = 8224428196.629629
-y predicted = 5504246553.730538
-error 7.399388170365196e+18
- y tested = 4059018123.5159216
-y predicted = 5081763962.835304
-error 1.0460090518451085e+18
- y tested = 5947637003.818383
-y predicted = 3344046195.4679418
-error 6.778685097326905e+18
- y tested = 997516184.7000968
-y predicted = 2982775826.2210298
-error 3.941255844251823e+18
- y tested = 6532788063.289651
-y predicted = 5964778475.684614
-error 3.226348916112439e+17
- y tested = 1980229389.772511
-y predicted = 3464817709.3800006
-error 2.2040024787149896e+18
- y tested = 5035525633.343237
-y predicted = 5042611140.129316
-error 50204406415577.32
- y tested = 5026691733.102776
-y predicted = 4951831940.84707
-error 5603988496567435.0
- y tested = 1014996574.3865615
-y predicted = 3271492027.4919395
-error 5.091771729885245e+18
- y tested = 7665772326.561901
-y predicted = 5446136121.776959
-error 4.9267848815921e+18
- y tested = 3029054692.61153
-y predicted = 3698057978.565678
-error 4.4756539661744794e+17
- y tested = 4062233415.93208
-y predicted = 3722147962.723341
-error 1.1565811548419326e+17
- y tested = 5822958761.806049
-y predicted = 5481992573.544564
-error 1.162579415375665e+17
- y tested = 6611133148.221605
-y predicted = 5828461249.537191
-error 6.125753009902655e+17
- y tested = 5377240292.736961
-y predicted = 3044223175.162438
-error 5.442968870895738e+18
-error squared vector [1.1966230558306374e+19, 2.4530315218410726e+18, 8.650294359787435e+16, 1.3914436861934225e+19, 2461001924850593.0, 7.399388170365196e+18, 1.0460090518451085e+18, 6.778685097326905e+18, 3.941255844251823e+18, 3.226348916112439e+17, 2.2040024787149896e+18, 50204406415577.32, 5603988496567435.0, 5.091771729885245e+18, 4.9267848815921e+18, 4.4756539661744794e+17, 1.1565811548419326e+17, 1.162579415375665e+17, 6.125753009902655e+17, 5.442968870895738e+18]
-Total loo_error 3.3436937425812603e+18
-iteration 19current difference of loo_error 1.387895677234152e+18
- getting loo error of with lamda = 0.5404067552645841, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3447544619.7808466
-error 1.188556390480527e+19
- y tested = 5326600510.288329
-y predicted = 3759335352.896777
-error 2.456320073573566e+18
- y tested = 5072151352.996373
-y predicted = 5373535189.643751
-error 9.08322169922934e+16
- y tested = 7650055845.407672
-y predicted = 3930381631.9843645
-error 1.38359762540063e+19
- y tested = 5789616901.049658
-y predicted = 5856508210.899277
-error 4474447333397724.0
- y tested = 8224428196.629629
-y predicted = 5523235172.123291
-error 7.296443755641698e+18
- y tested = 4059018123.5159216
-y predicted = 5088056429.872894
-error 1.0589198359500268e+18
- y tested = 5947637003.818383
-y predicted = 3342241726.563602
-error 6.788084550741518e+18
- y tested = 997516184.7000968
-y predicted = 2963832335.3592563
-error 3.8663992043430543e+18
- y tested = 6532788063.289651
-y predicted = 5991352525.888491
-error 2.931524411608832e+17
- y tested = 1980229389.772511
-y predicted = 3458914526.081168
-error 2.186509732340152e+18
- y tested = 5035525633.343237
-y predicted = 5049769297.118365
-error 202881957738904.0
- y tested = 5026691733.102776
-y predicted = 4959592428.083082
-error 4502316734125848.5
- y tested = 1014996574.3865615
-y predicted = 3254825483.5173707
-error 5.016833542178111e+18
- y tested = 7665772326.561901
-y predicted = 5465281692.783916
-error 4.842159029344637e+18
- y tested = 3029054692.61153
-y predicted = 3700572772.43571
-error 4.509365315307539e+17
- y tested = 4062233415.93208
-y predicted = 3722603453.5925984
-error 1.1534851131871752e+17
- y tested = 5822958761.806049
-y predicted = 5498207955.252025
-error 1.0546308635748957e+17
- y tested = 6611133148.221605
-y predicted = 5845400322.55511
-error 5.863467603031953e+17
- y tested = 5377240292.736961
-y predicted = 3038909346.866168
-error 5.467791612416999e+18
-error squared vector [1.188556390480527e+19, 2.456320073573566e+18, 9.08322169922934e+16, 1.38359762540063e+19, 4474447333397724.0, 7.296443755641698e+18, 1.0589198359500268e+18, 6.788084550741518e+18, 3.8663992043430543e+18, 2.931524411608832e+17, 2.186509732340152e+18, 202881957738904.0, 4502316734125848.5, 5.016833542178111e+18, 4.842159029344637e+18, 4.509365315307539e+17, 1.1534851131871752e+17, 1.0546308635748957e+17, 5.863467603031953e+17, 5.467791612416999e+18]
-Total loo_error 3.3176130344514964e+18
-iteration 20current difference of loo_error 1.361814969104388e+18
- getting loo error of with lamda = 0.5240307930141422, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3435591374.698335
-error 1.1803288093328996e+19
- y tested = 5326600510.288329
-y predicted = 3758308605.5519147
-error 2.459539498461771e+18
- y tested = 5072151352.996373
-y predicted = 5380332817.854004
-error 9.497581528179509e+16
- y tested = 7650055845.407672
-y predicted = 3941061669.6318316
-error 1.3756637795939105e+19
- y tested = 5789616901.049658
-y predicted = 5873314051.074983
-error 7005212922361731.0
- y tested = 8224428196.629629
-y predicted = 5542041165.721843
-error 7.19520018358229e+18
- y tested = 4059018123.5159216
-y predicted = 5094139690.872748
-error 1.0714766592072536e+18
- y tested = 5947637003.818383
-y predicted = 3340566350.6736884
-error 6.796817390488306e+18
- y tested = 997516184.7000968
-y predicted = 2944607828.812193
-error 3.791165870571145e+18
- y tested = 6532788063.289651
-y predicted = 6017626695.782021
-error 2.6539123457233178e+17
- y tested = 1980229389.772511
-y predicted = 3452993804.209757
-error 2.1690350204326835e+18
- y tested = 5035525633.343237
-y predicted = 5056790658.795464
-error 452201307483846.75
- y tested = 5026691733.102776
-y predicted = 4967210403.559794
-error 3538028564200722.0
- y tested = 1014996574.3865615
-y predicted = 3237937747.2184043
-error 4.941467457871009e+18
- y tested = 7665772326.561901
-y predicted = 5484140235.990935
-error 4.759518578609042e+18
- y tested = 3029054692.61153
-y predicted = 3703234584.2697487
-error 4.5451852631628774e+17
- y tested = 4062233415.93208
-y predicted = 3723146486.6865444
-error 1.1497994558516672e+17
- y tested = 5822958761.806049
-y predicted = 5514134207.825139
-error 9.537260514150818e+16
- y tested = 6611133148.221605
-y predicted = 5861979939.096745
-error 5.612305307420774e+17
- y tested = 5377240292.736961
-y predicted = 3033672981.0068035
-error 5.492307744610119e+18
-error squared vector [1.1803288093328996e+19, 2.459539498461771e+18, 9.497581528179509e+16, 1.3756637795939105e+19, 7005212922361731.0, 7.19520018358229e+18, 1.0714766592072536e+18, 6.796817390488306e+18, 3.791165870571145e+18, 2.6539123457233178e+17, 2.1690350204326835e+18, 452201307483846.75, 3538028564200722.0, 4.941467457871009e+18, 4.759518578609042e+18, 4.5451852631628774e+17, 1.1497994558516672e+17, 9.537260514150818e+16, 5.612305307420774e+17, 5.492307744610119e+18]
-Total loo_error 3.291695919676747e+18
-iteration 21current difference of loo_error 1.3358978543296384e+18
- getting loo error of with lamda = 0.5081510720440168, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3423368341.384993
-error 1.1719450800226476e+19
- y tested = 5326600510.288329
-y predicted = 3757311432.9646206
-error 2.4626682082074967e+18
- y tested = 5072151352.996373
-y predicted = 5386658489.435639
-error 9.891473887122722e+16
- y tested = 7650055845.407672
-y predicted = 3951895458.1859174
-error 1.3676390249616157e+19
- y tested = 5789616901.049658
-y predicted = 5889641038.830333
-error 1.0004828138767442e+16
- y tested = 8224428196.629629
-y predicted = 5560670689.403922
-error 7.095604057301313e+18
- y tested = 4059018123.5159216
-y predicted = 5100017540.539925
-error 1.0836797862443141e+18
- y tested = 5947637003.818383
-y predicted = 3339029158.4959774
-error 6.804834890677604e+18
- y tested = 997516184.7000968
-y predicted = 2925108009.3787317
-error 3.715610242567909e+18
- y tested = 6532788063.289651
-y predicted = 6043595624.734598
-error 2.3930924193943907e+17
- y tested = 1980229389.772511
-y predicted = 3447062149.8155575
-error 2.1515983459355016e+18
- y tested = 5035525633.343237
-y predicted = 5063679146.068841
-error 792620278790749.6
- y tested = 5026691733.102776
-y predicted = 4974689508.901867
-error 2704231321841570.5
- y tested = 1014996574.3865615
-y predicted = 3220835009.6353183
-error 4.865723202420684e+18
- y tested = 7665772326.561901
-y predicted = 5502713370.431524
-error 4.678824047695835e+18
- y tested = 3029054692.61153
-y predicted = 3706048599.3562346
-error 4.58320749769458e+17
- y tested = 4062233415.93208
-y predicted = 3723784804.2322154
-error 1.1454746276156558e+17
- y tested = 5822958761.806049
-y predicted = 5529770386.903955
-error 8.595942317773075e+16
- y tested = 6611133148.221605
-y predicted = 5878201456.628605
-error 5.371888645413771e+17
- y tested = 5377240292.736961
-y predicted = 3028520791.8247085
-error 5.516483293965502e+18
-error squared vector [1.1719450800226476e+19, 2.4626682082074967e+18, 9.891473887122722e+16, 1.3676390249616157e+19, 1.0004828138767442e+16, 7.095604057301313e+18, 1.0836797862443141e+18, 6.804834890677604e+18, 3.715610242567909e+18, 2.3930924193943907e+17, 2.1515983459355016e+18, 792620278790749.6, 2704231321841570.5, 4.865723202420684e+18, 4.678824047695835e+18, 4.58320749769458e+17, 1.1454746276156558e+17, 8.595942317773075e+16, 5.371888645413771e+17, 5.516483293965502e+18]
-Total loo_error 3.2659304642829486e+18
-iteration 22current difference of loo_error 1.3101323989358403e+18
- getting loo error of with lamda = 0.4927525547396526, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.474892742303716 mAh) it is NOT far from the median.
+--- Median :42.474892742303716, the gap is : 10
+--- So No we don't romove this configuration '3000-2200'
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '1000-1100'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3410879600.51094
-error 1.163409964861319e+19
- y tested = 5326600510.288329
-y predicted = 3756350398.2761316
-error 2.465685414274319e+18
- y tested = 5072151352.996373
-y predicted = 5392512876.782038
-error 1.0263150592227291e+17
- y tested = 7650055845.407672
-y predicted = 3962888248.5349884
-error 1.359520488742788e+19
- y tested = 5789616901.049658
-y predicted = 5905487676.971416
-error 1.3426036712710404e+16
- y tested = 8224428196.629629
-y predicted = 5579130124.985091
-error 6.997601887846311e+18
- y tested = 4059018123.5159216
-y predicted = 5105693718.863155
-error 1.0955298018954862e+18
- y tested = 5947637003.818383
-y predicted = 3337638975.1802325
-error 6.812089709495033e+18
- y tested = 997516184.7000968
-y predicted = 2905338569.7203107
-error 3.639786252784217e+18
- y tested = 6532788063.289651
-y predicted = 6069254040.245895
-error 2.148637905191289e+17
- y tested = 1980229389.772511
-y predicted = 3441125957.260408
-error 2.1342187808979192e+18
- y tested = 5035525633.343237
-y predicted = 5070438553.544346
-error 1218911996969000.2
- y tested = 5026691733.102776
-y predicted = 4982033275.38364
-error 1994377845851793.8
- y tested = 1014996574.3865615
-y predicted = 3203523389.379852
-error 4.789649619944676e+18
- y tested = 7665772326.561901
-y predicted = 5521003006.474248
-error 4.600035436389254e+18
- y tested = 3029054692.61153
-y predicted = 3709019626.3632965
-error 4.623523111320445e+17
- y tested = 4062233415.93208
-y predicted = 3724525887.7599797
-error 1.1404637458410976e+17
- y tested = 5822958761.806049
-y predicted = 5545115629.788872
-error 7.719680600911477e+16
- y tested = 6611133148.221605
-y predicted = 5894066434.232883
-error 5.141846723105834e+17
- y tested = 5377240292.736961
-y predicted = 3023459175.3035135
-error 5.540285548786251e+18
-error squared vector [1.163409964861319e+19, 2.465685414274319e+18, 1.0263150592227291e+17, 1.359520488742788e+19, 1.3426036712710404e+16, 6.997601887846311e+18, 1.0955298018954862e+18, 6.812089709495033e+18, 3.639786252784217e+18, 2.148637905191289e+17, 2.1342187808979192e+18, 1218911996969000.2, 1994377845851793.8, 4.789649619944676e+18, 4.600035436389254e+18, 4.623523111320445e+17, 1.1404637458410976e+17, 7.719680600911477e+16, 5.141846723105834e+17, 5.540285548786251e+18]
-Total loo_error 3.2403050887693665e+18
-iteration 23current difference of loo_error 1.2845070234222582e+18
- getting loo error of with lamda = 0.47782065917178435, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3398129226.7228975
-error 1.1547282240942002e+19
- y tested = 5326600510.288329
-y predicted = 3755431789.7364726
-error 2.4685711484405576e+18
- y tested = 5072151352.996373
-y predicted = 5397896905.138924
-error 1.0611016474065507e+17
- y tested = 7650055845.407672
-y predicted = 3974045030.621105
-error 1.3513055510427798e+19
- y tested = 5789616901.049658
-y predicted = 5920852845.277368
-error 1.722287305733855e+16
- y tested = 8224428196.629629
-y predicted = 5597426069.718776
-error 6.901140174794148e+18
- y tested = 4059018123.5159216
-y predicted = 5111171910.1374235
-error 1.107027590701965e+18
- y tested = 5947637003.818383
-y predicted = 3336404352.9201584
-error 6.818535957116971e+18
- y tested = 997516184.7000968
-y predicted = 2885305201.1285415
-error 3.5637473705478743e+18
- y tested = 6532788063.289651
-y predicted = 6094596764.808191
-error 1.9201161406486765e+17
- y tested = 1980229389.772511
-y predicted = 3435191412.8743277
-error 2.1169144886685312e+18
- y tested = 5035525633.343237
-y predicted = 5077072548.027674
-error 1726146119795870.0
- y tested = 5026691733.102776
-y predicted = 4989245123.18047
-error 1402248594673279.2
- y tested = 1014996574.3865615
-y predicted = 3186008940.5711193
-error 4.713294694126273e+18
- y tested = 7665772326.561901
-y predicted = 5539011343.752316
-error 4.5231122780011904e+18
- y tested = 3029054692.61153
-y predicted = 3712152100.6514864
-error 4.6662206887090694e+17
- y tested = 4062233415.93208
-y predicted = 3725376954.294734
-error 1.1347227574683262e+17
- y tested = 5822958761.806049
-y predicted = 5560169162.248939
-error 6.905837363538664e+16
- y tested = 6611133148.221605
-y predicted = 5909576628.490626
-error 4.9218155037704346e+17
- y tested = 5377240292.736961
-y predicted = 3018494209.4254065
-error 5.563683085537601e+18
-error squared vector [1.1547282240942002e+19, 2.4685711484405576e+18, 1.0611016474065507e+17, 1.3513055510427798e+19, 1.722287305733855e+16, 6.901140174794148e+18, 1.107027590701965e+18, 6.818535957116971e+18, 3.5637473705478743e+18, 1.9201161406486765e+17, 2.1169144886685312e+18, 1726146119795870.0, 1402248594673279.2, 4.713294694126273e+18, 4.5231122780011904e+18, 4.6662206887090694e+17, 1.1347227574683262e+17, 6.905837363538664e+16, 4.9218155037704346e+17, 5.563683085537601e+18]
-Total loo_error 3.2148085927256197e+18
-iteration 24current difference of loo_error 1.2590105273785114e+18
- getting loo error of with lamda = 0.46334124528779086, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3385121296.502704
-error 1.145904619147196e+19
- y tested = 5326600510.288329
-y predicted = 3754561616.7524247
-error 2.4713062827895905e+18
- y tested = 5072151352.996373
-y predicted = 5402811756.865771
-error 1.0933630268707347e+17
- y tested = 7650055845.407672
-y predicted = 3985370529.556859
-error 1.3429918464212572e+19
- y tested = 5789616901.049658
-y predicted = 5935735804.643109
-error 2.1350733987352372e+16
- y tested = 8224428196.629629
-y predicted = 5615565323.822116
-error 6.806165489113471e+18
- y tested = 4059018123.5159216
-y predicted = 5116455742.133526
-error 1.1181743172676699e+18
- y tested = 5947637003.818383
-y predicted = 3335333563.4495597
-error 6.824129264562791e+18
- y tested = 997516184.7000968
-y predicted = 2865013602.3656154
-error 3.48754660498738e+18
- y tested = 6532788063.289651
-y predicted = 6119618722.6120405
-error 1.707089040759713e+17
- y tested = 1980229389.772511
-y predicted = 3429264498.9904327
-error 2.0997027477461944e+18
- y tested = 5035525633.343237
-y predicted = 5083584667.111229
-error 2309670726712997.0
- y tested = 5026691733.102776
-y predicted = 4996328360.805545
-error 921934377260238.0
- y tested = 1014996574.3865615
-y predicted = 3168297660.879597
-error 4.636705569092089e+18
- y tested = 7665772326.561901
-y predicted = 5556740868.088315
-error 4.448013692831222e+18
- y tested = 3029054692.61153
-y predicted = 3715450088.1533914
-error 4.7113863902106854e+17
- y tested = 4062233415.93208
-y predicted = 3726344952.823556
-error 1.1282105964940619e+17
- y tested = 5822958761.806049
-y predicted = 5574930305.449406
-error 6.1518115162659496e+16
- y tested = 6611133148.221605
-y predicted = 5924733988.885762
-error 4.711438059369521e+17
- y tested = 5377240292.736961
-y predicted = 3013631654.87411
-error 5.586645792979883e+18
-error squared vector [1.145904619147196e+19, 2.4713062827895905e+18, 1.0933630268707347e+17, 1.3429918464212572e+19, 2.1350733987352372e+16, 6.806165489113471e+18, 1.1181743172676699e+18, 6.824129264562791e+18, 3.48754660498738e+18, 1.707089040759713e+17, 2.0997027477461944e+18, 2309670726712997.0, 921934377260238.0, 4.636705569092089e+18, 4.448013692831222e+18, 4.7113863902106854e+17, 1.1282105964940619e+17, 6.1518115162659496e+16, 4.711438059369521e+17, 5.586645792979883e+18]
-Total loo_error 3.189430179133964e+18
-iteration 25current difference of loo_error 1.2336321137868554e+18
- getting loo error of with lamda = 0.44930060152149415, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3371859896.084163
-error 1.1369439158258727e+19
- y tested = 5326600510.288329
-y predicted = 3753745606.308091
-error 2.4738725489746836e+18
- y tested = 5072151352.996373
-y predicted = 5407258875.30295
-error 1.1229705150645282e+17
- y tested = 7650055845.407672
-y predicted = 3996869201.8836365
-error 1.3345772652422408e+19
- y tested = 5789616901.049658
-y predicted = 5950136200.375288
-error 2.576644545599126e+16
- y tested = 8224428196.629629
-y predicted = 5633554877.065017
-error 6.712624558031754e+18
- y tested = 4059018123.5159216
-y predicted = 5121548785.423682
-error 1.1289714074941439e+18
- y tested = 5947637003.818383
-y predicted = 3334434590.439701
-error 6.828826853288168e+18
- y tested = 997516184.7000968
-y predicted = 2844469488.520916
-error 3.411236506494639e+18
- y tested = 6532788063.289651
-y predicted = 6144314946.100317
-error 1.5091136277879795e+17
- y tested = 1980229389.772511
-y predicted = 3423350998.3202105
-error 2.0825999770572995e+18
- y tested = 5035525633.343237
-y predicted = 5089978317.84791
-error 2965094849765455.5
- y tested = 5026691733.102776
-y predicted = 5003286184.734947
-error 547819694398753.25
- y tested = 1014996574.3865615
-y predicted = 3150395499.621187
-error 4.5599285698931953e+18
- y tested = 7665772326.561901
-y predicted = 5574194347.432606
-error 4.374698442778587e+18
- y tested = 3029054692.61153
-y predicted = 3718917289.7823925
-error 4.7591040297532794e+17
- y tested = 4062233415.93208
-y predicted = 3727436561.045155
-error 1.1208893404217654e+17
- y tested = 5822958761.806049
-y predicted = 5589398482.990178
-error 5.455040384054751e+16
- y tested = 6611133148.221605
-y predicted = 5939540652.769378
-error 4.5103647994775034e+17
- y tested = 5377240292.736961
-y predicted = 3008876956.1559963
-error 5.609144894060922e+18
-error squared vector [1.1369439158258727e+19, 2.4738725489746836e+18, 1.1229705150645282e+17, 1.3345772652422408e+19, 2.576644545599126e+16, 6.712624558031754e+18, 1.1289714074941439e+18, 6.828826853288168e+18, 3.411236506494639e+18, 1.5091136277879795e+17, 2.0825999770572995e+18, 2965094849765455.5, 547819694398753.25, 4.5599285698931953e+18, 4.374698442778587e+18, 4.7591040297532794e+17, 1.1208893404217654e+17, 5.455040384054751e+16, 4.5103647994775034e+17, 5.609144894060922e+18]
-Total loo_error 3.1641594781922867e+18
-iteration 26current difference of loo_error 1.2083614128451784e+18
- getting loo error of with lamda = 0.4356854318087216, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3358349129.3872275
-error 1.1278508874296224e+19
- y tested = 5326600510.288329
-y predicted = 3752989199.768082
-error 2.476252556597249e+18
- y tested = 5072151352.996373
-y predicted = 5411239968.234518
-error 1.1498108898412266e+17
- y tested = 7650055845.407672
-y predicted = 4008545231.973818
-error 1.3260599547751404e+19
- y tested = 5789616901.049658
-y predicted = 5964054064.655105
-error 3.042832404671342e+16
- y tested = 8224428196.629629
-y predicted = 5651401894.463166
-error 6.620464351640422e+18
- y tested = 4059018123.5159216
-y predicted = 5126454552.871421
-error 1.1394205307152178e+18
- y tested = 5947637003.818383
-y predicted = 3333715121.799291
-error 6.832587605298232e+18
- y tested = 997516184.7000968
-y predicted = 2823678599.8274055
-error 3.3348691664236047e+18
- y tested = 6532788063.289651
-y predicted = 6168680582.374869
-error 1.3257425765810803e+17
- y tested = 1980229389.772511
-y predicted = 3417456498.6307
-error 2.0656217624368689e+18
- y tested = 5035525633.343237
-y predicted = 5096256775.51464
-error 3688271629443155.5
- y tested = 5026691733.102776
-y predicted = 5010121679.223395
-error 274566685565563.7
- y tested = 1014996574.3865615
-y predicted = 3132308365.844125
-error 4.483009222245236e+18
- y tested = 7665772326.561901
-y predicted = 5591374826.837459
-error 4.3031249868630185e+18
- y tested = 3029054692.61153
-y predicted = 3722557046.332907
-error 4.809455146170904e+17
- y tested = 4062233415.93208
-y predicted = 3728658182.4074507
-error 1.1127243642101085e+17
- y tested = 5822958761.806049
-y predicted = 5603573228.044246
-error 4.813001242395148e+16
- y tested = 6611133148.221605
-y predicted = 5953998939.92507
-error 4.318253677135145e+17
- y tested = 5377240292.736961
-y predicted = 3004235243.1104956
-error 5.631152965552706e+18
-error squared vector [1.1278508874296224e+19, 2.476252556597249e+18, 1.1498108898412266e+17, 1.3260599547751404e+19, 3.042832404671342e+16, 6.620464351640422e+18, 1.1394205307152178e+18, 6.832587605298232e+18, 3.3348691664236047e+18, 1.3257425765810803e+17, 2.0656217624368689e+18, 3688271629443155.5, 274566685565563.7, 4.483009222245236e+18, 4.3031249868630185e+18, 4.809455146170904e+17, 1.1127243642101085e+17, 4.813001242395148e+16, 4.318253677135145e+17, 5.631152965552706e+18]
-Total loo_error 3.1389865704999854e+18
-iteration 27current difference of loo_error 1.183188505152877e+18
- getting loo error of with lamda = 0.4224828429963361, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3344593125.928715
-error 1.1186303177452182e+19
- y tested = 5326600510.288329
-y predicted = 3752297550.0743036
-error 2.4784298105386435e+18
- y tested = 5072151352.996373
-y predicted = 5414757010.936476
-error 1.1737863685257058e+17
- y tested = 7650055845.407672
-y predicted = 4020402528.580821
-error 1.317438320035216e+19
- y tested = 5789616901.049658
-y predicted = 5977489818.183877
-error 3.5296232992521184e+16
- y tested = 8224428196.629629
-y predicted = 5669113701.119215
-error 6.529632170965642e+18
- y tested = 4059018123.5159216
-y predicted = 5131176499.293016
-error 1.149523582748978e+18
- y tested = 5947637003.818383
-y predicted = 3333182541.8829813
-error 6.835372133533932e+18
- y tested = 997516184.7000968
-y predicted = 2802646710.3817196
-error 3.2584962147476116e+18
- y tested = 6532788063.289651
-y predicted = 6192710899.458807
-error 1.1565247735923066e+17
- y tested = 1980229389.772511
-y predicted = 3411586397.6852026
-error 2.048782884100773e+18
- y tested = 5035525633.343237
-y predicted = 5102423182.469297
-error 4475282079073676.0
- y tested = 5026691733.102776
-y predicted = 5016837816.31282
-error 97099676103359.8
- y tested = 1014996574.3865615
-y predicted = 3114042136.35165
-error 4.4059922712053356e+18
- y tested = 7665772326.561901
-y predicted = 5608285622.493349
-error 4.2332515374188733e+18
- y tested = 3029054692.61153
-y predicted = 3726372343.83461
-error 4.862519067072733e+17
- y tested = 4062233415.93208
-y predicted = 3730015943.4408507
-error 1.1036844902846053e+17
- y tested = 5822958761.806049
-y predicted = 5617454190.583217
-error 4.223212879348031e+16
- y tested = 6611133148.221605
-y predicted = 5968111346.776581
-error 4.134770371336045e+17
- y tested = 5377240292.736961
-y predicted = 2999711332.781547
-error 5.652643955426674e+18
-error squared vector [1.1186303177452182e+19, 2.4784298105386435e+18, 1.1737863685257058e+17, 1.317438320035216e+19, 3.5296232992521184e+16, 6.529632170965642e+18, 1.149523582748978e+18, 6.835372133533932e+18, 3.2584962147476116e+18, 1.1565247735923066e+17, 2.048782884100773e+18, 4475282079073676.0, 97099676103359.8, 4.4059922712053356e+18, 4.2332515374188733e+18, 4.862519067072733e+17, 1.1036844902846053e+17, 4.223212879348031e+16, 4.134770371336045e+17, 5.652643955426674e+18]
-Total loo_error 3.113902009455656e+18
-iteration 28current difference of loo_error 1.1581039441085476e+18
- getting loo error of with lamda = 0.4096803326328108, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3330596048.669111
-error 1.1092870038855193e+19
- y tested = 5326600510.288329
-y predicted = 3751675519.3476257
-error 2.480388727089575e+18
- y tested = 5072151352.996373
-y predicted = 5417812248.799776
-error 1.1948145488761096e+17
- y tested = 7650055845.407672
-y predicted = 4032444721.5427446
-error 1.3087110243511263e+19
- y tested = 5789616901.049658
-y predicted = 5990444271.029103
-error 4.033163253286107e+16
- y tested = 8224428196.629629
-y predicted = 5686697766.259558
-error 6.440075737226268e+18
- y tested = 4059018123.5159216
-y predicted = 5135718021.29698
-error 1.1592826698817413e+18
- y tested = 5947637003.818383
-y predicted = 3332843923.618589
-error 6.837142852260728e+18
- y tested = 997516184.7000968
-y predicted = 2781379636.711954
-error 3.18216881542366e+18
- y tested = 6532788063.289651
-y predicted = 6216401292.416397
-error 1.0010058878360482e+17
- y tested = 1980229389.772511
-y predicted = 3405745908.4096413
-error 2.0320973449073236e+18
- y tested = 5035525633.343237
-y predicted = 5108480547.105737
-error 5322419442093784.0
- y tested = 5026691733.102776
-y predicted = 5023437456.035769
-error 10590319228841.896
- y tested = 1014996574.3865615
-y predicted = 3095602663.604356
-error 4.3289216984901647e+18
- y tested = 7665772326.561901
-y predicted = 5624930314.856672
-error 4.165036116741045e+18
- y tested = 3029054692.61153
-y predicted = 3730365819.3235164
-error 4.9183729645003603e+17
- y tested = 4062233415.93208
-y predicted = 3731515691.3964543
-error 1.0937421332202184e+17
- y tested = 5822958761.806049
-y predicted = 5631041144.673983
-error 3.683237176565055e+16
- y tested = 6611133148.221605
-y predicted = 5981880540.279671
-error 3.95958844601726e+17
- y tested = 5377240292.736961
-y predicted = 2995309731.6227703
-error 5.673593197969765e+18
-error squared vector [1.1092870038855193e+19, 2.480388727089575e+18, 1.1948145488761096e+17, 1.3087110243511263e+19, 4.033163253286107e+16, 6.440075737226268e+18, 1.1592826698817413e+18, 6.837142852260728e+18, 3.18216881542366e+18, 1.0010058878360482e+17, 2.0320973449073236e+18, 5322419442093784.0, 10590319228841.896, 4.3289216984901647e+18, 4.165036116741045e+18, 4.9183729645003603e+17, 1.0937421332202184e+17, 3.683237176565055e+16, 3.95958844601726e+17, 5.673593197969765e+18]
-Total loo_error 3.088896842723078e+18
-iteration 29current difference of loo_error 1.1330987773759698e+18
- getting loo error of with lamda = 0.3972657771287862, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3316362101.7552066
-error 1.0998257589405483e+19
- y tested = 5326600510.288329
-y predicted = 3751127676.905999
-error 2.4821146487257467e+18
- y tested = 5072151352.996373
-y predicted = 5420408199.516787
-error 1.2128283114834277e+17
- y tested = 7650055845.407672
-y predicted = 4044675158.646381
-error 1.2998769896471319e+19
- y tested = 5789616901.049658
-y predicted = 6002918622.690137
-error 4.5497624454792424e+16
- y tested = 8224428196.629629
-y predicted = 5704161686.5171
-error 6.351743281994785e+18
- y tested = 4059018123.5159216
-y predicted = 5140082457.306716
-error 1.1687000937945341e+18
- y tested = 5947637003.818383
-y predicted = 3332706020.5679617
-error 6.837864047163016e+18
- y tested = 997516184.7000968
-y predicted = 2759883246.1385207
-error 3.1059376592431053e+18
- y tested = 6532788063.289651
-y predicted = 6239747289.330689
-error 8.587289520246717e+16
- y tested = 1980229389.772511
-y predicted = 3399940064.2472706
-error 2.0155783992175767e+18
- y tested = 5035525633.343237
-y predicted = 5114431742.911776
-error 6226174127242229.0
- y tested = 5026691733.102776
-y predicted = 5029923346.815044
-error 10443327185323.924
- y tested = 1014996574.3865615
-y predicted = 3076995783.4475822
-error 4.2518407381682755e+18
- y tested = 7665772326.561901
-y predicted = 5641312740.902587
-error 4.0984366139678817e+18
- y tested = 3029054692.61153
-y predicted = 3734539766.9936204
-error 4.977091901759039e+17
- y tested = 4062233415.93208
-y predicted = 3733162992.198642
-error 1.0828734377610445e+17
- y tested = 5822958761.806049
-y predicted = 5644333995.828455
-error 3.1906807020550356e+16
- y tested = 6611133148.221605
-y predicted = 5995309351.5403185
-error 3.792389485589549e+17
- y tested = 5377240292.736961
-y predicted = 2991034638.010287
-error 5.693977426649558e+18
-error squared vector [1.0998257589405483e+19, 2.4821146487257467e+18, 1.2128283114834277e+17, 1.2998769896471319e+19, 4.5497624454792424e+16, 6.351743281994785e+18, 1.1687000937945341e+18, 6.837864047163016e+18, 3.1059376592431053e+18, 8.587289520246717e+16, 2.0155783992175767e+18, 6226174127242229.0, 10443327185323.924, 4.2518407381682755e+18, 4.0984366139678817e+18, 4.977091901759039e+17, 1.0828734377610445e+17, 3.1906807020550356e+16, 3.792389485589549e+17, 5.693977426649558e+18]
-Total loo_error 3.063962632629641e+18
-iteration 30current difference of loo_error 1.1081645672825329e+18
- getting loo error of with lamda = 0.3852274202763987, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3301895538.1189146
-error 1.0902514144099279e+19
- y tested = 5326600510.288329
-y predicted = 3750658297.7109847
-error 2.4835938573831757e+18
- y tested = 5072151352.996373
-y predicted = 5422547654.819618
-error 1.2277756833140664e+17
- y tested = 7650055845.407672
-y predicted = 4057096902.66049
-error 1.2909353964266947e+19
- y tested = 5789616901.049658
-y predicted = 6014914461.404094
-error 5.0758990701660696e+16
- y tested = 8224428196.629629
-y predicted = 5721513168.513288
-error 6.264583637970627e+18
- y tested = 4059018123.5159216
-y predicted = 5144273087.770317
-error 1.1777783374388093e+18
- y tested = 5947637003.818383
-y predicted = 3332775258.941086
-error 6.837501944822744e+18
- y tested = 997516184.7000968
-y predicted = 2738163464.8740067
-error 3.02985295397683e+18
- y tested = 6532788063.289651
-y predicted = 6262744557.137641
-error 7.292349521487064e+16
- y tested = 1980229389.772511
-y predicted = 3394173724.6654816
-error 1.999238582175925e+18
- y tested = 5035525633.343237
-y predicted = 5120279507.636179
-error 7183219207663823.0
- y tested = 5026691733.102776
-y predicted = 5036298126.06058
-error 92282785659759.34
- y tested = 1014996574.3865615
-y predicted = 3058227322.6102867
-error 4.1747918904868844e+18
- y tested = 7665772326.561901
-y predicted = 5657436985.538849
-error 4.0334108420021796e+18
- y tested = 3029054692.61153
-y predicted = 3738896144.693716
-error 5.038748870941467e+17
- y tested = 4062233415.93208
-y predicted = 3734963128.723271
-error 1.0710584088973627e+17
- y tested = 5822958761.806049
-y predicted = 5657332788.3857155
-error 2.743196307143314e+16
- y tested = 6611133148.221605
-y predicted = 6008400769.200985
-error 3.632863207198568e+17
- y tested = 5377240292.736961
-y predicted = 2986889945.038439
-error 5.713774784742448e+18
-error squared vector [1.0902514144099279e+19, 2.4835938573831757e+18, 1.2277756833140664e+17, 1.2909353964266947e+19, 5.0758990701660696e+16, 6.264583637970627e+18, 1.1777783374388093e+18, 6.837501944822744e+18, 3.02985295397683e+18, 7.292349521487064e+16, 1.999238582175925e+18, 7183219207663823.0, 92282785659759.34, 4.1747918904868844e+18, 4.0334108420021796e+18, 5.038748870941467e+17, 1.0710584088973627e+17, 2.743196307143314e+16, 3.632863207198568e+17, 5.713774784742448e+18]
-Total loo_error 3.039091475369114e+18
-iteration 31current difference of loo_error 1.0832934100220058e+18
- getting loo error of with lamda = 0.3735538621165079, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3287200666.893184
-error 1.0805688223875127e+19
- y tested = 5326600510.288329
-y predicted = 3750271361.254669
-error 2.4848135860931825e+18
- y tested = 5072151352.996373
-y predicted = 5424233681.758464
-error 1.2396196622653691e+17
- y tested = 7650055845.407672
-y predicted = 4069712728.5481377
-error 1.2818856834443444e+19
- y tested = 5789616901.049658
-y predicted = 6026433762.7135935
-error 5.608222596835564e+16
- y tested = 8224428196.629629
-y predicted = 5738760010.79528
-error 6.178546330069022e+18
- y tested = 4059018123.5159216
-y predicted = 5148293135.560065
-error 1.1865200518637693e+18
- y tested = 5947637003.818383
-y predicted = 3333057729.5873404
-error 6.836024781238527e+18
- y tested = 997516184.7000968
-y predicted = 2716226285.8096333
-error 2.953964411655953e+18
- y tested = 6532788063.289651
-y predicted = 6285388907.313594
-error 6.120634237766541e+16
- y tested = 1980229389.772511
-y predicted = 3388451580.7792892
-error 1.9830897392439311e+18
- y tested = 5035525633.343237
-y predicted = 5126026442.571029
-error 8190396470885163.0
- y tested = 5026691733.102776
-y predicted = 5042564320.964209
-error 251939045418911.16
- y tested = 1014996574.3865615
-y predicted = 3039303105.924029
-error 4.097816933625252e+18
- y tested = 7665772326.561901
-y predicted = 5673307372.220434
-error 3.969916594278944e+18
- y tested = 3029054692.61153
-y predicted = 3743436580.735036
-error 5.1034148207890554e+17
- y tested = 4062233415.93208
-y predicted = 3736921099.412645
-error 1.0582810327924101e+17
- y tested = 5822958761.806049
-y predicted = 5670037712.90341
-error 2.3384847197483428e+16
- y tested = 6611133148.221605
-y predicted = 6021157932.636501
-error 3.480707550046899e+17
- y tested = 5377240292.736961
-y predicted = 2982879243.5752096
-error 5.732964833742965e+18
-error squared vector [1.0805688223875127e+19, 2.4848135860931825e+18, 1.2396196622653691e+17, 1.2818856834443444e+19, 5.608222596835564e+16, 6.178546330069022e+18, 1.1865200518637693e+18, 6.836024781238527e+18, 2.953964411655953e+18, 6.120634237766541e+16, 1.9830897392439311e+18, 8190396470885163.0, 251939045418911.16, 4.097816933625252e+18, 3.969916594278944e+18, 5.1034148207890554e+17, 1.0582810327924101e+17, 2.3384847197483428e+16, 3.480707550046899e+17, 5.732964833742965e+18]
-Total loo_error 3.0142760188889646e+18
-iteration 32current difference of loo_error 1.0584779535418563e+18
- getting loo error of with lamda = 0.36223404814328036, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3272281860.607087
-error 1.07078285747128e+19
- y tested = 5326600510.288329
-y predicted = 3749970550.898335
-error 2.4857620288460943e+18
- y tested = 5072151352.996373
-y predicted = 5425469623.507702
-error 1.2483380027711645e+17
- y tested = 7650055845.407672
-y predicted = 4082525120.869544
-error 1.272727547052354e+19
- y tested = 5789616901.049658
-y predicted = 6037478887.318885
-error 6.143556423732649e+16
- y tested = 8224428196.629629
-y predicted = 5755910085.186547
-error 6.09358166652252e+18
- y tested = 4059018123.5159216
-y predicted = 5152145766.562594
-error 1.1949280439927741e+18
- y tested = 5947637003.818383
-y predicted = 3333559179.9926443
-error 6.833402869017511e+18
- y tested = 997516184.7000968
-y predicted = 2694077775.9373
-error 2.8783212328613115e+18
- y tested = 6532788063.289651
-y predicted = 6307676301.411274
-error 5.067530533598709e+16
- y tested = 1980229389.772511
-y predicted = 3382778161.057774
-error 1.9671430558338012e+18
- y tested = 5035525633.343237
-y predicted = 5131675011.956411
-error 9244703007699566.0
- y tested = 5026691733.102776
-y predicted = 5048724349.492345
-error 485436184969916.94
- y tested = 1014996574.3865615
-y predicted = 3020228963.2124643
-error 4.020956933196437e+18
- y tested = 7665772326.561901
-y predicted = 5688928452.806866
-error 3.9079117012028145e+18
- y tested = 3029054692.61153
-y predicted = 3748162380.9771876
-error 5.171158674666e+17
- y tested = 4062233415.93208
-y predicted = 3739041617.239437
-error 1.0445293874218568e+17
- y tested = 5822958761.806049
-y predicted = 5682449113.53285
-error 1.9742961257858116e+16
- y tested = 6611133148.221605
-y predicted = 6033584125.000233
-error 3.335628742239616e+17
- y tested = 5377240292.736961
-y predicted = 2979005825.5557675
-error 5.751528559575864e+18
-error squared vector [1.07078285747128e+19, 2.4857620288460943e+18, 1.2483380027711645e+17, 1.272727547052354e+19, 6.143556423732649e+16, 6.09358166652252e+18, 1.1949280439927741e+18, 6.833402869017511e+18, 2.8783212328613115e+18, 5.067530533598709e+16, 1.9671430558338012e+18, 9244703007699566.0, 485436184969916.94, 4.020956933196437e+18, 3.9079117012028145e+18, 5.171158674666e+17, 1.0445293874218568e+17, 1.9742961257858116e+16, 3.335628742239616e+17, 5.751528559575864e+18]
-Total loo_error 2.9895094793509586e+18
-iteration 33current difference of loo_error 1.0337114140038502e+18
- getting loo error of with lamda = 0.35125725883590825, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '1000-1100'
+--- Neighbour 0 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '1000-1100'
+--- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.86022362180361 mAh) it is NOT far from the median.
+--- Median :36.86022362180361, the gap is : 10
+--- So No we don't romove this configuration '1000-1100'
+ --- remove_aberrant_points: The value [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '2000-2200'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3257143562.1228786
-error 1.0608984183735656e+19
- y tested = 5326600510.288329
-y predicted = 3749759253.6745286
-error 2.4864283485593897e+18
- y tested = 5072151352.996373
-y predicted = 5426259099.6874485
-error 1.2539229626663077e+17
- y tested = 7650055845.407672
-y predicted = 4095536271.3882027
-error 1.2634609402087549e+19
- y tested = 5789616901.049658
-y predicted = 6048052578.237411
-error 6.678899924349234e+16
- y tested = 8224428196.629629
-y predicted = 5772971317.611629
-error 6.009640829684676e+18
- y tested = 4059018123.5159216
-y predicted = 5155834090.459097
-error 1.2030052653414927e+18
- y tested = 5947637003.818383
-y predicted = 3334285006.3152184
-error 6.829608662853782e+18
- y tested = 997516184.7000968
-y predicted = 2671724083.358245
-error 2.8029720879293317e+18
- y tested = 6532788063.289651
-y predicted = 6329602856.437266
-error 4.12842282836463e+16
- y tested = 1980229389.772511
-y predicted = 3377157837.0809016
-error 1.9514090868994312e+18
- y tested = 5035525633.343237
-y predicted = 5137227542.514819
-error 1.034327832914476e+16
- y tested = 5026691733.102776
-y predicted = 5054780521.575933
-error 788980037889807.1
- y tested = 1014996574.3865615
-y predicted = 3001010735.8043294
-error 3.94425224935192e+18
- y tested = 7665772326.561901
-y predicted = 5704304996.707314
-error 3.8473540860868854e+18
- y tested = 3029054692.61153
-y predicted = 3753074536.160703
-error 5.242047338529695e+17
- y tested = 4062233415.93208
-y predicted = 3741329109.031797
-error 1.0297957418715093e+17
- y tested = 5822958761.806049
-y predicted = 5694567495.350147
-error 1.6484317302150452e+16
- y tested = 6611133148.221605
-y predicted = 6045682766.160122
-error 3.197341345734775e+17
- y tested = 5377240292.736961
-y predicted = 2975272687.4945526
-error 5.769448376633952e+18
-error squared vector [1.0608984183735656e+19, 2.4864283485593897e+18, 1.2539229626663077e+17, 1.2634609402087549e+19, 6.678899924349234e+16, 6.009640829684676e+18, 1.2030052653414927e+18, 6.829608662853782e+18, 2.8029720879293317e+18, 4.12842282836463e+16, 1.9514090868994312e+18, 1.034327832914476e+16, 788980037889807.1, 3.94425224935192e+18, 3.8473540860868854e+18, 5.242047338529695e+17, 1.0297957418715093e+17, 1.6484317302150452e+16, 3.197341345734775e+17, 5.769448376633952e+18]
-Total loo_error 2.964785656062031e+18
-iteration 34current difference of loo_error 1.0089875907149225e+18
- getting loo error of with lamda = 0.34061309950754737, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3241790291.279191
-error 1.0509204292091722e+19
- y tested = 5326600510.288329
-y predicted = 3749640560.562966
-error 2.4868026830378204e+18
- y tested = 5072151352.996373
-y predicted = 5426606006.188354
-error 1.2563810116944707e+17
- y tested = 7650055845.407672
-y predicted = 4108748076.8939214
-error 1.254086071133584e+19
- y tested = 5789616901.049658
-y predicted = 6058157957.29442
-error 7.211429888905266e+16
- y tested = 8224428196.629629
-y predicted = 5789951668.457537
-error 5.926675966220845e+18
- y tested = 4059018123.5159216
-y predicted = 5159361161.693515
-error 1.2107548016658964e+18
- y tested = 5947637003.818383
-y predicted = 3335240245.4970307
-error 6.824616822887911e+18
- y tested = 997516184.7000968
-y predicted = 2649171443.831266
-error 2.7279650950156493e+18
- y tested = 6532788063.289651
-y predicted = 6351164850.062502
-error 3.2986991582954436e+16
- y tested = 1980229389.772511
-y predicted = 3371594829.316042
-error 1.935897786356163e+18
- y tested = 5035525633.343237
-y predicted = 5142686223.123322
-error 1.1483392002015574e+16
- y tested = 5026691733.102776
-y predicted = 5060735040.496449
-error 1158946778300171.8
- y tested = 1014996574.3865615
-y predicted = 2981654282.62557
-error 3.867742541375909e+18
- y tested = 7665772326.561901
-y predicted = 5719441979.360492
-error 3.7882018204371584e+18
- y tested = 3029054692.61153
-y predicted = 3758173729.457207
-error 5.3161456989076826e+17
- y tested = 4062233415.93208
-y predicted = 3743787715.171922
-error 1.0140766433262782e+17
- y tested = 5822958761.806049
-y predicted = 5706393531.613459
-error 1.3587452889851662e+16
- y tested = 6611133148.221605
-y predicted = 6057457405.563331
-error 3.06556828008192e+17
- y tested = 5377240292.736961
-y predicted = 2971682534.1977367
-error 5.786708129668259e+18
-error squared vector [1.0509204292091722e+19, 2.4868026830378204e+18, 1.2563810116944707e+17, 1.254086071133584e+19, 7.211429888905266e+16, 5.926675966220845e+18, 1.2107548016658964e+18, 6.824616822887911e+18, 2.7279650950156493e+18, 3.2986991582954436e+16, 1.935897786356163e+18, 1.1483392002015574e+16, 1158946778300171.8, 3.867742541375909e+18, 3.7882018204371584e+18, 5.3161456989076826e+17, 1.0140766433262782e+17, 1.3587452889851662e+16, 3.06556828008192e+17, 5.786708129668259e+18]
-Total loo_error 2.940098944781819e+18
-iteration 35current difference of loo_error 9.843008794347105e+17
- getting loo error of with lamda = 0.3302914904618641, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3226226651.205884
-error 1.0408538404413428e+19
- y tested = 5326600510.288329
-y predicted = 3749617267.250247
-error 2.486876148822907e+18
- y tested = 5072151352.996373
-y predicted = 5426514514.487364
-error 1.255732502218899e+17
- y tested = 7650055845.407672
-y predicted = 4122162137.257963
-error 1.2446034016002302e+19
- y tested = 5789616901.049658
-y predicted = 6067798520.968623
-error 7.73850136607397e+16
- y tested = 8224428196.629629
-y predicted = 5806859112.536499
-error 5.844640276362896e+18
- y tested = 4059018123.5159216
-y predicted = 5162729980.624578
-error 1.2181798635222403e+18
- y tested = 5947637003.818383
-y predicted = 3336429567.492067
-error 6.818404275525853e+18
- y tested = 997516184.7000968
-y predicted = 2626426186.815919
-error 2.6533477949929677e+18
- y tested = 6532788063.289651
-y predicted = 6372358725.654944
-error 2.5737572373910656e+16
- y tested = 1980229389.772511
-y predicted = 3366093212.885172
-error 1.9206185362124406e+18
- y tested = 5035525633.343237
-y predicted = 5148053104.631303
-error 1.2662431794486498e+16
- y tested = 5026691733.102776
-y predicted = 5066590004.4664
-error 1591872057805424.5
- y tested = 1014996574.3865615
-y predicted = 2962165485.8287897
-error 3.791466769687112e+18
- y tested = 7665772326.561901
-y predicted = 5734344570.098869
-error 3.7304131784358205e+18
- y tested = 3029054692.61153
-y predicted = 3763460344.209129
-error 5.39351661098494e+17
- y tested = 4062233415.93208
-y predicted = 3746421289.680625
-error 9.973729908746485e+16
- y tested = 5822958761.806049
-y predicted = 5717928070.914563
-error 1.1031446029142916e+16
- y tested = 6611133148.221605
-y predicted = 6068911715.066373
-error 2.940040825729142e+17
- y tested = 5377240292.736961
-y predicted = 2968237782.6604652
-error 5.803293093554859e+18
-error squared vector [1.0408538404413428e+19, 2.486876148822907e+18, 1.255732502218899e+17, 1.2446034016002302e+19, 7.73850136607397e+16, 5.844640276362896e+18, 1.2181798635222403e+18, 6.818404275525853e+18, 2.6533477949929677e+18, 2.5737572373910656e+16, 1.9206185362124406e+18, 1.2662431794486498e+16, 1591872057805424.5, 3.791466769687112e+18, 3.7304131784358205e+18, 5.39351661098494e+17, 9.973729908746485e+16, 1.1031446029142916e+16, 2.940040825729142e+17, 5.803293093554859e+18]
-Total loo_error 2.9154443493214833e+18
-iteration 36current difference of loo_error 9.596462839743749e+17
- getting loo error of with lamda = 0.3202826574478682, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3210457334.277558
-error 1.0307036294681485e+19
- y tested = 5326600510.288329
-y predicted = 3749691875.3820715
-error 2.486640842841917e+18
- y tested = 5072151352.996373
-y predicted = 5425989070.442784
-error 1.2520113028768629e+17
- y tested = 7650055845.407672
-y predicted = 4135779753.735955
-error 1.2350136448495436e+19
- y tested = 5789616901.049658
-y predicted = 6076978135.616775
-error 8.257647913193749e+16
- y tested = 8224428196.629629
-y predicted = 5823701618.716383
-error 5.763488101899046e+18
- y tested = 4059018123.5159216
-y predicted = 5165943494.85603
-error 1.225283777716438e+18
- y tested = 5947637003.818383
-y predicted = 3337857267.65567
-error 6.81095027128552e+18
- y tested = 997516184.7000968
-y predicted = 2603494740.9689198
-error 2.5791671231952927e+18
- y tested = 6532788063.289651
-y predicted = 6393181097.122311
-error 1.9490105002448892e+16
- y tested = 1980229389.772511
-y predicted = 3360656923.295713
-error 1.9055801753089508e+18
- y tested = 5035525633.343237
-y predicted = 5153330099.832403
-error 1.3877892324797096e+16
- y tested = 5026691733.102776
-y predicted = 5072347408.401351
-error 2084440686968948.0
- y tested = 1014996574.3865615
-y predicted = 2942550255.921718
-error 3.7154631951997363e+18
- y tested = 7665772326.561901
-y predicted = 5749018119.448518
-error 3.6739466904868547e+18
- y tested = 3029054692.61153
-y predicted = 3768934471.833653
-error 5.4742208770177766e+17
- y tested = 4062233415.93208
-y predicted = 3749233400.6992006
-error 9.79690095357826e+16
- y tested = 5822958761.806049
-y predicted = 5729172144.191315
-error 8795929643612456.0
- y tested = 6611133148.221605
-y predicted = 6080049481.766238
-error 2.8204986077567562e+17
- y tested = 5377240292.736961
-y predicted = 2964940566.134728
-error 5.81918997096521e+18
-error squared vector [1.0307036294681485e+19, 2.486640842841917e+18, 1.2520113028768629e+17, 1.2350136448495436e+19, 8.257647913193749e+16, 5.763488101899046e+18, 1.225283777716438e+18, 6.81095027128552e+18, 2.5791671231952927e+18, 1.9490105002448892e+16, 1.9055801753089508e+18, 1.3877892324797096e+16, 2084440686968948.0, 3.7154631951997363e+18, 3.6739466904868547e+18, 5.4742208770177766e+17, 9.79690095357826e+16, 8795929643612456.0, 2.8204986077567562e+17, 5.81918997096521e+18]
-Total loo_error 2.8908174913583283e+18
-iteration 37current difference of loo_error 9.3501942601122e+17
- getting loo error of with lamda = 0.31057712240399343, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3194487127.6742516
-error 1.0204748008344074e+19
- y tested = 5326600510.288329
-y predicted = 3749866594.3157926
-error 2.48608984177809e+18
- y tested = 5072151352.996373
-y predicted = 5425034392.557194
-error 1.2452643960968366e+17
- y tested = 7650055845.407672
-y predicted = 4149601927.535292
-error 1.2253177631148093e+19
- y tested = 5789616901.049658
-y predicted = 6085701032.101366
-error 8.766581266064514e+16
- y tested = 8224428196.629629
-y predicted = 5840487129.286371
-error 5.683175012565712e+18
- y tested = 4059018123.5159216
-y predicted = 5169004600.73774
-error 1.2320699796153014e+18
- y tested = 5947637003.818383
-y predicted = 3339527259.3430996
-error 6.802236439226929e+18
- y tested = 997516184.7000968
-y predicted = 2580383639.0542455
-error 2.505469378053583e+18
- y tested = 6532788063.289651
-y predicted = 6413628753.550544
-error 1.4198941097500472e+16
- y tested = 1980229389.772511
-y predicted = 3355289762.110088
-error 1.8907910275731556e+18
- y tested = 5035525633.343237
-y predicted = 5158518983.59898
-error 1.5127364207131884e+16
- y tested = 5026691733.102776
-y predicted = 5078009145.880586
-error 2633476854208147.0
- y tested = 1014996574.3865615
-y predicted = 2922814536.3597183
-error 3.63976937602741e+18
- y tested = 7665772326.561901
-y predicted = 5763468145.917561
-error 3.618761195696936e+18
- y tested = 3029054692.61153
-y predicted = 3774595919.867316
-error 5.558317215380635e+17
- y tested = 4062233415.93208
-y predicted = 3752227331.3804
-error 9.610377245906314e+16
- y tested = 5822958761.806049
-y predicted = 5740126971.565834
-error 6861105474399027.0
- y tested = 6611133148.221605
-y predicted = 6090874600.866166
-error 2.7066895609639174e+17
- y tested = 5377240292.736961
-y predicted = 2961792738.355883
-error 5.834386887965532e+18
-error squared vector [1.0204748008344074e+19, 2.48608984177809e+18, 1.2452643960968366e+17, 1.2253177631148093e+19, 8.766581266064514e+16, 5.683175012565712e+18, 1.2320699796153014e+18, 6.802236439226929e+18, 2.505469378053583e+18, 1.4198941097500472e+16, 1.8907910275731556e+18, 1.5127364207131884e+16, 2633476854208147.0, 3.63976937602741e+18, 3.618761195696936e+18, 5.558317215380635e+17, 9.610377245906314e+16, 6861105474399027.0, 2.7066895609639174e+17, 5.834386887965532e+18]
-Total loo_error 2.866214618399595e+18
-iteration 38current difference of loo_error 9.104165530524867e+17
- getting loo error of with lamda = 0.3011656944826603, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3178320918.5200696
-error 1.0101723860572537e+19
- y tested = 5326600510.288329
-y predicted = 3750143343.3789563
-error 2.485217199099926e+18
- y tested = 5072151352.996373
-y predicted = 5423655469.697645
-error 1.2355514405794146e+17
- y tested = 7650055845.407672
-y predicted = 4163629358.6642995
-error 1.2155169647465734e+19
- y tested = 5789616901.049658
-y predicted = 6093971799.845359
-error 9.26319044209414e+16
- y tested = 8224428196.629629
-y predicted = 5857223539.127334
-error 5.60365789050056e+18
- y tested = 4059018123.5159216
-y predicted = 5171916145.028334
-error 1.2385420062862413e+18
- y tested = 5947637003.818383
-y predicted = 3341443066.7679524
-error 6.792246837518425e+18
- y tested = 997516184.7000968
-y predicted = 2557099522.231183
-error 2.432300186704602e+18
- y tested = 6532788063.289651
-y predicted = 6433698663.622601
-error 9818709126376440.0
- y tested = 1980229389.772511
-y predicted = 3349995402.530834
-error 1.876258929707835e+18
- y tested = 5035525633.343237
-y predicted = 5163621393.187631
-error 1.6408523690112594e+16
- y tested = 5026691733.102776
-y predicted = 5083577011.292312
-error 3235934874700911.0
- y tested = 1014996574.3865615
-y predicted = 2902964307.570514
-error 3.564422161543753e+18
- y tested = 7665772326.561901
-y predicted = 5777700322.327921
-error 3.564815893172119e+18
- y tested = 3029054692.61153
-y predicted = 3780444220.129791
-error 5.6458622206411546e+17
- y tested = 4062233415.93208
-y predicted = 3755406081.1982718
-error 9.414301333985229e+16
- y tested = 5822958761.806049
-y predicted = 5750793968.972402
-error 5207757324723294.0
- y tested = 6611133148.221605
-y predicted = 6101391068.607545
-error 2.598369877292671e+17
- y tested = 5377240292.736961
-y predicted = 2958795877.9177794
-error 5.848873387570095e+18
-error squared vector [1.0101723860572537e+19, 2.485217199099926e+18, 1.2355514405794146e+17, 1.2155169647465734e+19, 9.26319044209414e+16, 5.60365789050056e+18, 1.2385420062862413e+18, 6.792246837518425e+18, 2.432300186704602e+18, 9818709126376440.0, 1.876258929707835e+18, 1.6408523690112594e+16, 3235934874700911.0, 3.564422161543753e+18, 3.564815893172119e+18, 5.6458622206411546e+17, 9.414301333985229e+16, 5207757324723294.0, 2.598369877292671e+17, 5.848873387570095e+18]
-Total loo_error 2.8416326098384927e+18
-iteration 39current difference of loo_error 8.858345444913843e+17
- getting loo error of with lamda = 0.29203946134682207, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3161963698.5719113
-error 9.998014430559566e+18
- y tested = 5326600510.288329
-y predicted = 3750523754.6387415
-error 2.48401793969893e+18
- y tested = 5072151352.996373
-y predicted = 5421857558.26347
-error 1.2229443000231264e+17
- y tested = 7650055845.407672
-y predicted = 4177862445.0807753
-error 1.2056127009273657e+19
- y tested = 5789616901.049658
-y predicted = 6101795380.337635
-error 9.745540293055402e+16
- y tested = 8224428196.629629
-y predicted = 5873918674.75679
-error 5.524895012414882e+18
- y tested = 4059018123.5159216
-y predicted = 5174680926.708817
-error 1.244703490428228e+18
- y tested = 5947637003.818383
-y predicted = 3343607818.17365
-error 6.780967999689573e+18
- y tested = 997516184.7000968
-y predicted = 2533649143.687205
-error 2.359704467686488e+18
- y tested = 6532788063.289651
-y predicted = 6453387979.80045
-error 6304373258092024.0
- y tested = 1980229389.772511
-y predicted = 3344777394.8807845
-error 1.8619912582449687e+18
- y tested = 5035525633.343237
-y predicted = 5168638828.724216
-error 1.7719122784534832e+16
- y tested = 5026691733.102776
-y predicted = 5089052702.158581
-error 3888890461579094.5
- y tested = 1014996574.3865615
-y predicted = 2883005590.383565
-error 3.4894576838460933e+18
- y tested = 7665772326.561901
-y predicted = 5791720461.74605
-error 3.5120703920197693e+18
- y tested = 3029054692.61153
-y predicted = 3786478636.98798
-error 5.736910315147797e+17
- y tested = 4062233415.93208
-y predicted = 3758772367.6865716
-error 9.208860780226266e+16
- y tested = 5822958761.806049
-y predicted = 5761174754.537571
-error 3817263554151391.0
- y tested = 6611133148.221605
-y predicted = 6111602975.297783
-error 2.495303936613039e+17
- y tested = 5377240292.736961
-y predicted = 2955951292.7882485
-error 5.862640421272637e+18
-error squared vector [9.998014430559566e+18, 2.48401793969893e+18, 1.2229443000231264e+17, 1.2056127009273657e+19, 9.745540293055402e+16, 5.524895012414882e+18, 1.244703490428228e+18, 6.780967999689573e+18, 2.359704467686488e+18, 6304373258092024.0, 1.8619912582449687e+18, 1.7719122784534832e+16, 3888890461579094.5, 3.4894576838460933e+18, 3.5120703920197693e+18, 5.736910315147797e+17, 9.208860780226266e+16, 3817263554151391.0, 2.495303936613039e+17, 5.862640421272637e+18]
-Total loo_error 2.8170689810552177e+18
-iteration 40current difference of loo_error 8.612709157081093e+17
- getting loo error of with lamda = 0.2831897807302517, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3145420568.432973
-error 9.89367055179697e+18
- y tested = 5326600510.288329
-y predicted = 3751009176.1845436
-error 2.482488052102947e+18
- y tested = 5072151352.996373
-y predicted = 5419646178.793012
-error 1.2075265395543613e+17
- y tested = 7650055845.407672
-y predicted = 4192301282.157923
-error 1.195606661967446e+19
- y tested = 5789616901.049658
-y predicted = 6109177060.112809
-error 1.021186952604666e+17
- y tested = 8224428196.629629
-y predicted = 5890580273.3201065
-error 5.446846129136171e+18
- y tested = 4059018123.5159216
-y predicted = 5177301698.934378
-error 1.2505581550506857e+18
- y tested = 5947637003.818383
-y predicted = 3346024239.373208
-error 6.768388976124067e+18
- y tested = 997516184.7000968
-y predicted = 2510039371.586534
-error 2.287726390869104e+18
- y tested = 6532788063.289651
-y predicted = 6472694042.252005
-error 3611291364473075.5
- y tested = 1980229389.772511
-y predicted = 3339639171.9593444
-error 1.847994955905254e+18
- y tested = 5035525633.343237
-y predicted = 5173572653.876374
-error 1.9056979878076436e+16
- y tested = 5026691733.102776
-y predicted = 5094437821.634579
-error 4589532511358908.0
- y tested = 1014996574.3865615
-y predicted = 2862944448.8400784
-error 3.4149113466972713e+18
- y tested = 7665772326.561901
-y predicted = 5805534503.069604
-error 3.460484759951359e+18
- y tested = 3029054692.61153
-y predicted = 3792698175.703091
-error 5.831513692682117e+17
- y tested = 4062233415.93208
-y predicted = 3762328628.613444
-error 8.994288145663626e+16
- y tested = 5822958761.806049
-y predicted = 5771271154.674936
-error 2671608730940289.0
- y tested = 6611133148.221605
-y predicted = 6121514498.461171
-error 2.397264221932307e+17
- y tested = 5377240292.736961
-y predicted = 2953260024.9587054
-error 5.875680338578345e+18
-error squared vector [9.89367055179697e+18, 2.482488052102947e+18, 1.2075265395543613e+17, 1.195606661967446e+19, 1.021186952604666e+17, 5.446846129136171e+18, 1.2505581550506857e+18, 6.768388976124067e+18, 2.287726390869104e+18, 3611291364473075.5, 1.847994955905254e+18, 1.9056979878076436e+16, 4589532511358908.0, 3.4149113466972713e+18, 3.460484759951359e+18, 5.831513692682117e+17, 8.994288145663626e+16, 2671608730940289.0, 2.397264221932307e+17, 5.875680338578345e+18]
-Total loo_error 2.7925218855252736e+18
-iteration 41current difference of loo_error 8.367238201781652e+17
- getting loo error of with lamda = 0.2746082722535774, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3128696741.267796
-error 9.788743298298276e+18
- y tested = 5326600510.288329
-y predicted = 3751600675.9244275
-error 2.4806244782463176e+18
- y tested = 5072151352.996373
-y predicted = 5417027112.002073
-error 1.1893928914975774e+17
- y tested = 7650055845.407672
-y predicted = 4206945662.4857907
-error 1.185500773174035e+19
- y tested = 5789616901.049658
-y predicted = 6116122463.228604
-error 1.0660588213378989e+17
- y tested = 8224428196.629629
-y predicted = 5907215961.599534
-error 5.369472542173169e+18
- y tested = 4059018123.5159216
-y predicted = 5179781171.110669
-error 1.2561098088538662e+18
- y tested = 5947637003.818383
-y predicted = 3348694647.7142425
-error 6.754501370352142e+18
- y tested = 997516184.7000968
-y predicted = 2486277191.308401
-error 2.2164093347973714e+18
- y tested = 6532788063.289651
-y predicted = 6491614382.504029
-error 1695271989436269.0
- y tested = 1980229389.772511
-y predicted = 3334584054.258601
-error 1.83427655721523e+18
- y tested = 5035525633.343237
-y predicted = 5178424096.721729
-error 2.041997083593432e+16
- y tested = 5026691733.102776
-y predicted = 5099733881.175868
-error 5335155395131565.0
- y tested = 1014996574.3865615
-y predicted = 2842786992.3637643
-error 3.340817812049278e+18
- y tested = 7665772326.561901
-y predicted = 5819148496.327519
-error 3.4100195703894984e+18
- y tested = 3029054692.61153
-y predicted = 3799101590.846327
-error 5.929722254810318e+17
- y tested = 4062233415.93208
-y predicted = 3766077024.5986094
-error 8.770860812766363e+16
- y tested = 5822958761.806049
-y predicted = 5781085209.856166
-error 1753394352899589.0
- y tested = 6611133148.221605
-y predicted = 6131129896.138055
-error 2.3040312201078448e+17
- y tested = 5377240292.736961
-y predicted = 2950722855.2228756
-error 5.887986874559925e+18
-error squared vector [9.788743298298276e+18, 2.4806244782463176e+18, 1.1893928914975774e+17, 1.185500773174035e+19, 1.0660588213378989e+17, 5.369472542173169e+18, 1.2561098088538662e+18, 6.754501370352142e+18, 2.2164093347973714e+18, 1695271989436269.0, 1.83427655721523e+18, 2.041997083593432e+16, 5335155395131565.0, 3.340817812049278e+18, 3.4100195703894984e+18, 5.929722254810318e+17, 8.770860812766363e+16, 1753394352899589.0, 2.3040312201078448e+17, 5.887986874559925e+18]
-Total loo_error 2.767990114907592e+18
-iteration 42current difference of loo_error 8.121920495604838e+17
- getting loo error of with lamda = 0.2662868094883175, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3111797545.9976077
-error 9.683283966758099e+18
- y tested = 5326600510.288329
-y predicted = 3752299045.893967
-error 2.4784251007942323e+18
- y tested = 5072151352.996373
-y predicted = 5414006394.247992
-error 1.1686486922914571e+17
- y tested = 7650055845.407672
-y predicted = 4221795076.025899
-error 1.1752971902882105e+19
- y tested = 5789616901.049658
-y predicted = 6122637543.26346
-error 1.1090274814049334e+17
- y tested = 8224428196.629629
-y predicted = 5923833235.113876
-error 5.292737176951668e+18
- y tested = 4059018123.5159216
-y predicted = 5182122011.079127
-error 1.2613623422595858e+18
- y tested = 5947637003.818383
-y predicted = 3351620946.5266914
-error 6.739299369716301e+18
- y tested = 997516184.7000968
-y predicted = 2462369706.9531384
-error 2.145795841657142e+18
- y tested = 6532788063.289651
-y predicted = 6510146726.800811
-error 512630118000882.3
- y tested = 1980229389.772511
-y predicted = 3329615255.0249352
-error 1.8208422133430336e+18
- y tested = 5035525633.343237
-y predicted = 5183194250.819167
-error 2.1806020587252604e+16
- y tested = 5026691733.102776
-y predicted = 5104942303.36683
-error 6123151746649699.0
- y tested = 1014996574.3865615
-y predicted = 2822539377.2768083
-error 3.2672109842803297e+18
- y tested = 7665772326.561901
-y predicted = 5832568587.751815
-error 3.360635947987279e+18
- y tested = 3029054692.61153
-y predicted = 3805687394.7702975
-error 6.031583540624292e+17
- y tested = 4062233415.93208
-y predicted = 3770019442.1781306
-error 8.53890064570737e+16
- y tested = 5822958761.806049
-y predicted = 5790619180.020085
-error 1045848550091055.2
- y tested = 6611133148.221605
-y predicted = 6140453500.354643
-error 2.2153933091616774e+17
- y tested = 5377240292.736961
-y predicted = 2948340308.0817456
-error 5.899555135458107e+18
-error squared vector [9.683283966758099e+18, 2.4784251007942323e+18, 1.1686486922914571e+17, 1.1752971902882105e+19, 1.1090274814049334e+17, 5.292737176951668e+18, 1.2613623422595858e+18, 6.739299369716301e+18, 2.145795841657142e+18, 512630118000882.3, 1.8208422133430336e+18, 2.1806020587252604e+16, 6123151746649699.0, 3.2672109842803297e+18, 3.360635947987279e+18, 6.031583540624292e+17, 8.53890064570737e+16, 1045848550091055.2, 2.2153933091616774e+17, 5.899555135458107e+18]
-Total loo_error 2.7434730970947594e+18
-iteration 43current difference of loo_error 7.876750317476511e+17
- getting loo error of with lamda = 0.2582175122613988, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3094728429.9578214
-error 9.577344054673412e+18
- y tested = 5326600510.288329
-y predicted = 3753104807.0732307
-error 2.475888728036377e+18
- y tested = 5072151352.996373
-y predicted = 5410590312.415834
-error 1.1454092925292774e+17
- y tested = 7650055845.407672
-y predicted = 4236848710.6368
-error 1.1649982944850786e+19
- y tested = 5789616901.049658
-y predicted = 6128728574.857139
-error 1.1499672731251126e+17
- y tested = 8224428196.629629
-y predicted = 5940439437.381589
-error 5.216604652371402e+18
- y tested = 4059018123.5159216
-y predicted = 5184326847.394515
-error 1.2663197240372685e+18
- y tested = 5947637003.818383
-y predicted = 3354804620.111535
-error 6.722779769998936e+18
- y tested = 997516184.7000968
-y predicted = 2438324142.0981526
-error 2.0759275701015578e+18
- y tested = 6532788063.289651
-y predicted = 6528288999.148514
-error 20241578146065.918
- y tested = 1980229389.772511
-y predicted = 3324735885.1538496
-error 1.8076977161226094e+18
- y tested = 5035525633.343237
-y predicted = 5187884076.48984
-error 2.3213095198056548e+16
- y tested = 5026691733.102776
-y predicted = 5110064424.902197
-error 6951005737881293.0
- y tested = 1014996574.3865615
-y predicted = 2802207807.6493196
-error 3.194123992300589e+18
- y tested = 7665772326.561901
-y predicted = 5845801004.679314
-error 3.3122956124750525e+18
- y tested = 3029054692.61153
-y predicted = 3812453866.1256857
-error 6.137142650626625e+17
- y tested = 4062233415.93208
-y predicted = 3774157497.319015
-error 8.298773488476112e+16
- y tested = 5822958761.806049
-y predicted = 5799875549.581897
-error 532834686585266.44
- y tested = 6611133148.221605
-y predicted = 6149489710.78401
-error 2.1311466332919904e+17
- y tested = 5377240292.736961
-y predicted = 2946112656.7728124
-error 5.910381582348632e+18
-error squared vector [9.577344054673412e+18, 2.475888728036377e+18, 1.1454092925292774e+17, 1.1649982944850786e+19, 1.1499672731251126e+17, 5.216604652371402e+18, 1.2663197240372685e+18, 6.722779769998936e+18, 2.0759275701015578e+18, 20241578146065.918, 1.8076977161226094e+18, 2.3213095198056548e+16, 6951005737881293.0, 3.194123992300589e+18, 3.3122956124750525e+18, 6.137142650626625e+17, 8.298773488476112e+16, 532834686585266.44, 2.1311466332919904e+17, 5.910381582348632e+18]
-Total loo_error 2.7189708922179676e+18
-iteration 44current difference of loo_error 7.631728268708593e+17
- getting loo error of with lamda = 0.2503927391928715, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3077494961.0015016
-error 9.470975234476716e+18
- y tested = 5326600510.288329
-y predicted = 3754018214.7061453
-error 2.473015076378531e+18
- y tested = 5072151352.996373
-y predicted = 5406785398.223864
-error 1.1197994422531411e+17
- y tested = 7650055845.407672
-y predicted = 4252105452.9874716
-error 1.1546066869348594e+19
- y tested = 5789616901.049658
-y predicted = 6134402144.816178
-error 1.1887686431913896e+17
- y tested = 8224428196.629629
-y predicted = 5957041739.420176
-error 5.141041346336838e+18
- y tested = 4059018123.5159216
-y predicted = 5186398271.677051
-error 1.2709859984678093e+18
- y tested = 5947637003.818383
-y predicted = 3358246729.3285456
-error 6.704941993622557e+18
- y tested = 997516184.7000968
-y predicted = 2414147839.789515
-error 2.0068452462013842e+18
- y tested = 6532788063.289651
-y predicted = 6546039324.02428
-error 175595911057111.75
- y tested = 1980229389.772511
-y predicted = 3319948957.907702
-error 1.7948485212443425e+18
- y tested = 5035525633.343237
-y predicted = 5192494402.314801
-error 2.4639194432448324e+16
- y tested = 5026691733.102776
-y predicted = 5115101499.713458
-error 7816286832155348.0
- y tested = 1014996574.3865615
-y predicted = 2781798535.475514
-error 3.1215891697077683e+18
- y tested = 7665772326.561901
-y predicted = 5858852040.3418665
-error 3.264960920753492e+18
- y tested = 3029054692.61153
-y predicted = 3819399058.414683
-error 6.246442165567882e+17
- y tested = 4062233415.93208
-y predicted = 3778492539.3845453
-error 8.05088850239632e+16
- y tested = 5822958761.806049
-y predicted = 5808857032.0054245
-error 198858783369830.9
- y tested = 6611133148.221605
-y predicted = 6158242988.615792
-error 2.0510949666777878e+17
- y tested = 5377240292.736961
-y predicted = 2944039928.423073
-error 5.92046401289724e+18
-error squared vector [9.470975234476716e+18, 2.473015076378531e+18, 1.1197994422531411e+17, 1.1546066869348594e+19, 1.1887686431913896e+17, 5.141041346336838e+18, 1.2709859984678093e+18, 6.704941993622557e+18, 2.0068452462013842e+18, 175595911057111.75, 1.7948485212443425e+18, 2.4639194432448324e+16, 7816286832155348.0, 3.1215891697077683e+18, 3.264960920753492e+18, 6.246442165567882e+17, 8.05088850239632e+16, 198858783369830.9, 2.0510949666777878e+17, 5.92046401289724e+18]
-Total loo_error 2.694484186609364e+18
-iteration 45current difference of loo_error 7.386861212622556e+17
- getting loo error of with lamda = 0.2428050804597542, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3060102829.0352616
-error 9.364229323759593e+18
- y tested = 5326600510.288329
-y predicted = 3755039264.113102
-error 2.469804750479833e+18
- y tested = 5072151352.996373
-y predicted = 5402598421.948635
-error 1.0919526537914094e+17
- y tested = 7650055845.407672
-y predicted = 4267563889.874784
-error 1.14412518292447e+19
- y tested = 5789616901.049658
-y predicted = 6139665142.806079
-error 1.2253377155676182e+17
- y tested = 8224428196.629629
-y predicted = 5973647119.555168
-error 5.066015456916471e+18
- y tested = 4059018123.5159216
-y predicted = 5188338841.020356
-error 1.275365282984731e+18
- y tested = 5947637003.818383
-y predicted = 3361947907.8404126
-error 6.685788101059375e+18
- y tested = 997516184.7000968
-y predicted = 2389848261.7597055
-error 1.938588612809124e+18
- y tested = 6532788063.289651
-y predicted = 6563396028.730025
-error 936847548399152.1
- y tested = 1980229389.772511
-y predicted = 3315257393.4483595
-error 1.7822997705987213e+18
- y tested = 5035525633.343237
-y predicted = 5197025926.854348
-error 2.6082344804175084e+16
- y tested = 5026691733.102776
-y predicted = 5120054702.231022
-error 8716644004441873.0
- y tested = 1014996574.3865615
-y predicted = 2761317860.1734347
-error 3.0496380331923185e+18
- y tested = 7665772326.561901
-y predicted = 5871728038.603194
-error 3.2185949071572634e+18
- y tested = 3029054692.61153
-y predicted = 3826520808.5742536
-error 6.359522061086724e+17
- y tested = 4062233415.93208
-y predicted = 3783025655.548772
-error 7.79569734582627e+16
- y tested = 5822958761.806049
-y predicted = 5817566573.901751
-error 29075690395266.094
- y tested = 6611133148.221605
-y predicted = 6166717850.649913
-error 1.9750495671573597e+17
- y tested = 5377240292.736961
-y predicted = 2942121909.326416
-error 5.929801541223988e+18
-error squared vector [9.364229323759593e+18, 2.469804750479833e+18, 1.0919526537914094e+17, 1.14412518292447e+19, 1.2253377155676182e+17, 5.066015456916471e+18, 1.275365282984731e+18, 6.685788101059375e+18, 1.938588612809124e+18, 936847548399152.1, 1.7822997705987213e+18, 2.6082344804175084e+16, 8716644004441873.0, 3.0496380331923185e+18, 3.2185949071572634e+18, 6.359522061086724e+17, 7.79569734582627e+16, 29075690395266.094, 1.9750495671573597e+17, 5.929801541223988e+18]
-Total loo_error 2.670014284734605e+18
-iteration 46current difference of loo_error 7.142162193874964e+17
- getting loo error of with lamda = 0.2354473507791556, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3042557846.977073
-error 9.25715825169467e+18
- y tested = 5326600510.288329
-y predicted = 3756167696.9856544
-error 2.4662592210977536e+18
- y tested = 5072151352.996373
-y predicted = 5398036385.571862
-error 1.0620105445672755e+17
- y tested = 7650055845.407672
-y predicted = 4283222309.9604764
-error 1.1335568055411862e+19
- y tested = 5789616901.049658
-y predicted = 6144524751.651654
-error 1.2595958241892901e+17
- y tested = 8224428196.629629
-y predicted = 5990262343.610951
-error 4.991497058794676e+18
- y tested = 4059018123.5159216
-y predicted = 5190151080.435543
-error 1.2794617662297262e+18
- y tested = 5947637003.818383
-y predicted = 3365908359.0690866
-error 6.66532279511904e+18
- y tested = 997516184.7000968
-y predicted = 2365432986.8654575
-error 1.8711963776463066e+18
- y tested = 6532788063.289651
-y predicted = 6580357645.370234
-error 2262865139321287.0
- y tested = 1980229389.772511
-y predicted = 3310664023.178191
-error 1.7700563137653066e+18
- y tested = 5035525633.343237
-y predicted = 5201479220.594043
-error 2.754059312141083e+16
- y tested = 5026691733.102776
-y predicted = 5124925130.771941
-error 9649800417628432.0
- y tested = 1014996574.3865615
-y predicted = 2740772127.410121
-error 2.978301259413773e+18
- y tested = 7665772326.561901
-y predicted = 5884435378.699992
-error 3.1731613218179814e+18
- y tested = 3029054692.61153
-y predicted = 3833816745.584381
-error 6.476419619050783e+17
- y tested = 4062233415.93208
-y predicted = 3787757675.6560864
-error 7.533693200005456e+16
- y tested = 5822958761.806049
-y predicted = 5826007358.619605
-error 9293942531622.074
- y tested = 6611133148.221605
-y predicted = 6174918863.627258
-error 1.9028290208415795e+17
- y tested = 5377240292.736961
-y predicted = 2940358150.346687
-error 5.938394575900615e+18
-error squared vector [9.25715825169467e+18, 2.4662592210977536e+18, 1.0620105445672755e+17, 1.1335568055411862e+19, 1.2595958241892901e+17, 4.991497058794676e+18, 1.2794617662297262e+18, 6.66532279511904e+18, 1.8711963776463066e+18, 2262865139321287.0, 1.7700563137653066e+18, 2.754059312141083e+16, 9649800417628432.0, 2.978301259413773e+18, 3.1731613218179814e+18, 6.476419619050783e+17, 7.533693200005456e+16, 9293942531622.074, 1.9028290208415795e+17, 5.938394575900615e+18]
-Total loo_error 2.6455630991188777e+18
-iteration 47current difference of loo_error 6.897650337717693e+17
- getting loo error of with lamda = 0.22831258260402967, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3024865951.12782
-error 9.149814021788265e+18
- y tested = 5326600510.288329
-y predicted = 3757403008.1496425
-error 2.4623808007182935e+18
- y tested = 5072151352.996373
-y predicted = 5393106515.353301
-error 1.0301221624356194e+17
- y tested = 7650055845.407672
-y predicted = 4299078705.941533
-error 1.1229047789224667e+19
- y tested = 5789616901.049658
-y predicted = 6148988437.266273
-error 1.2914790104268963e+17
- y tested = 8224428196.629629
-y predicted = 6006893945.555794
-error 4.917458154685596e+18
- y tested = 4059018123.5159216
-y predicted = 5191837485.311495
-error 1.28327970645893e+18
- y tested = 5947637003.818383
-y predicted = 3370127853.9185257
-error 6.643553417817486e+18
- y tested = 997516184.7000968
-y predicted = 2340909708.7449136
-error 1.8047061604455516e+18
- y tested = 6532788063.289651
-y predicted = 6596922912.434859
-error 4113278874878633.5
- y tested = 1980229389.772511
-y predicted = 3306171593.88475
-error 1.7581227286460221e+18
- y tested = 5035525633.343237
-y predicted = 5205854728.121181
-error 2.9012000527873696e+16
- y tested = 5026691733.102776
-y predicted = 5129713811.04316
-error 1.0613548543154734e+16
- y tested = 1014996574.3865615
-y predicted = 2720167727.258029
-error 2.9076086605850097e+18
- y tested = 7665772326.561901
-y predicted = 5896980460.04437
-error 3.128624667058573e+18
- y tested = 3029054692.61153
-y predicted = 3841284299.0975895
-error 6.597169336524993e+17
- y tested = 4062233415.93208
-y predicted = 3792689177.519639
-error 7.265409646134272e+16
- y tested = 5822958761.806049
-y predicted = 5834182809.294103
-error 125979242014076.08
- y tested = 6611133148.221605
-y predicted = 6182850638.807365
-error 1.8342590787015846e+17
- y tested = 5377240292.736961
-y predicted = 2938747972.448222
-error 5.94624479610716e+18
-error squared vector [9.149814021788265e+18, 2.4623808007182935e+18, 1.0301221624356194e+17, 1.1229047789224667e+19, 1.2914790104268963e+17, 4.917458154685596e+18, 1.28327970645893e+18, 6.643553417817486e+18, 1.8047061604455516e+18, 4113278874878633.5, 1.7581227286460221e+18, 2.9012000527873696e+16, 1.0613548543154734e+16, 2.9076086605850097e+18, 3.128624667058573e+18, 6.597169336524993e+17, 7.265409646134272e+16, 125979242014076.08, 1.8342590787015846e+17, 5.94624479610716e+18]
-Total loo_error 2.621133138299686e+18
-iteration 48current difference of loo_error 6.653350729525775e+17
- getting loo error of with lamda = 0.2213940195251197, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.474892742303716 mAh) it is NOT far from the median.
+--- Median :42.474892742303716, the gap is : 10
+--- So No we don't romove this configuration '2000-2200'
+ --- remove_aberrant_points: The value [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '3000-3300'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 3007033200.9513764
-error 9.042248671122707e+18
- y tested = 5326600510.288329
-y predicted = 3758744452.780148
-error 2.4581726170650967e+18
- y tested = 5072151352.996373
-y predicted = 5387816253.837223
-error 9.964432962286358e+16
- y tested = 7650055845.407672
-y predicted = 4315130777.166868
-error 1.112172521078093e+19
- y tested = 5789616901.049658
-y predicted = 6153063938.231154
-error 1.320937488360082e+17
- y tested = 8224428196.629629
-y predicted = 6023548208.672216
-error 4.843872721391421e+18
- y tested = 4059018123.5159216
-y predicted = 5193400523.87083
-error 1.2868234302349627e+18
- y tested = 5947637003.818383
-y predicted = 3374605729.3154693
-error 6.62048993957009e+18
- y tested = 997516184.7000968
-y predicted = 2316286232.696573
-error 1.7391544394926275e+18
- y tested = 6532788063.289651
-y predicted = 6613090775.96845
-error 6448525663573694.0
- y tested = 1980229389.772511
-y predicted = 3301782771.686221
-error 1.7465033412475645e+18
- y tested = 5035525633.343237
-y predicted = 5210152770.534619
-error 3.0494637043657892e+16
- y tested = 5026691733.102776
-y predicted = 5134421699.749028
-error 1.1605745713602704e+16
- y tested = 1014996574.3865615
-y predicted = 2699511091.692984
-error 2.83758915901609e+18
- y tested = 7665772326.561901
-y predicted = 5909369687.14324
-error 3.0849502317568394e+18
- y tested = 3029054692.61153
-y predicted = 3848920708.087786
-error 6.72180283332913e+17
- y tested = 4062233415.93208
-y predicted = 3797820492.649658
-error 6.991419399875577e+16
- y tested = 5822958761.806049
-y predicted = 5842096591.322295
-error 366256518592890.56
- y tested = 6611133148.221605
-y predicted = 6190517826.801467
-error 1.769172486133663e+17
- y tested = 5377240292.736961
-y predicted = 2937290472.3568044
-error 5.95335512597316e+18
-error squared vector [9.042248671122707e+18, 2.4581726170650967e+18, 9.964432962286358e+16, 1.112172521078093e+19, 1.320937488360082e+17, 4.843872721391421e+18, 1.2868234302349627e+18, 6.62048993957009e+18, 1.7391544394926275e+18, 6448525663573694.0, 1.7465033412475645e+18, 3.0494637043657892e+16, 1.1605745713602704e+16, 2.83758915901609e+18, 3.0849502317568394e+18, 6.72180283332913e+17, 6.991419399875577e+16, 366256518592890.56, 1.769172486133663e+17, 5.95335512597316e+18]
-Total loo_error 2.596727492849741e+18
-iteration 49current difference of loo_error 6.409294275026324e+17
- getting loo error of with lamda = 0.21468510987284334, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2989065778.2606173
-error 8.93451422627057e+18
- y tested = 5326600510.288329
-y predicted = 3760191054.049568
-error 2.453638584594211e+18
- y tested = 5072151352.996373
-y predicted = 5382173251.301913
-error 9.611357742897064e+16
- y tested = 7650055845.407672
-y predicted = 4331375932.71168
-error 1.1013636362931874e+19
- y tested = 5789616901.049658
-y predicted = 6156759255.045004
-error 1.34793508097244e+17
- y tested = 8224428196.629629
-y predicted = 6040231147.323331
-error 4.77071675019834e+18
- y tested = 4059018123.5159216
-y predicted = 5194842639.600878
-error 1.290097331339625e+18
- y tested = 5947637003.818383
-y predicted = 3379340887.6166453
-error 6.596144940496931e+18
- y tested = 997516184.7000968
-y predicted = 2291570471.7879963
-error 1.6745764979305718e+18
- y tested = 6532788063.289651
-y predicted = 6628860390.308389
-error 9229892018795296.0
- y tested = 1980229389.772511
-y predicted = 3297500145.7758904
-error 1.7352022446217147e+18
- y tested = 5035525633.343237
-y predicted = 5214373548.089483
-error 3.19865766090806e+16
- y tested = 5026691733.102776
-y predicted = 5139049688.2914715
-error 1.2624310094184998e+16
- y tested = 1014996574.3865615
-y predicted = 2678808691.4480057
-error 2.7682707608804854e+18
- y tested = 7665772326.561901
-y predicted = 5921609454.689485
-error 3.0421041236182354e+18
- y tested = 3029054692.61153
-y predicted = 3856723029.5171604
-error 6.850348759161325e+17
- y tested = 4062233415.93208
-y predicted = 3803151712.4003506
-error 6.712332910490283e+16
- y tested = 5822958761.806049
-y predicted = 5849752614.236887
-error 717910528085503.6
- y tested = 6611133148.221605
-y predicted = 6197925112.665898
-error 1.707408806478064e+17
- y tested = 5377240292.736961
-y predicted = 2935984528.353015
-error 5.959729707137846e+18
-error squared vector [8.93451422627057e+18, 2.453638584594211e+18, 9.611357742897064e+16, 1.1013636362931874e+19, 1.34793508097244e+17, 4.77071675019834e+18, 1.290097331339625e+18, 6.596144940496931e+18, 1.6745764979305718e+18, 9229892018795296.0, 1.7352022446217147e+18, 3.19865766090806e+16, 1.2624310094184998e+16, 2.7682707608804854e+18, 3.0421041236182354e+18, 6.850348759161325e+17, 6.712332910490283e+16, 717910528085503.6, 1.707408806478064e+17, 5.959729707137846e+18]
-Total loo_error 2.57234981952328e+18
-iteration 50current difference of loo_error 6.165517541761715e+17
- getting loo error of with lamda = 0.2081795005130602, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2970969985.8097887
-error 8.826662656087454e+18
- y tested = 5326600510.288329
-y predicted = 3761741611.1876817
-error 2.44878337409449e+18
- y tested = 5072151352.996373
-y predicted = 5376185356.664684
-error 9.243667538658262e+16
- y tested = 7650055845.407672
-y predicted = 4347811294.918624
-error 1.0904819071234615e+19
- y tested = 5789616901.049658
-y predicted = 6160082639.064229
-error 1.372448630426809e+17
- y tested = 8224428196.629629
-y predicted = 6056948489.383602
-error 4.697968281323322e+18
- y tested = 4059018123.5159216
-y predicted = 5196166253.639366
-error 1.2931058698432463e+18
- y tested = 5947637003.818383
-y predicted = 3384331796.9272423
-error 6.570533583675235e+18
- y tested = 997516184.7000968
-y predicted = 2266770442.205197
-error 1.6110063701948227e+18
- y tested = 6532788063.289651
-y predicted = 6644231118.376441
-error 1.241955452707733e+16
- y tested = 1980229389.772511
-y predicted = 3293326231.965338
-error 1.7242233169767747e+18
- y tested = 5035525633.343237
-y predicted = 5218517143.077294
-error 3.348589263474963e+16
- y tested = 5026691733.102776
-y predicted = 5143598606.551032
-error 1.3667217059446658e+16
- y tested = 1014996574.3865615
-y predicted = 2658067032.2417884
-error 2.6996805294765855e+18
- y tested = 7665772326.561901
-y predicted = 5933706132.877952
-error 3.000053299302805e+18
- y tested = 3029054692.61153
-y predicted = 3864688147.0213003
-error 6.98283270128806e+17
- y tested = 4062233415.93208
-y predicted = 3808682694.521388
-error 6.4287968327882216e+16
- y tested = 5822958761.806049
-y predicted = 5857155032.951161
-error 1169384960230022.2
- y tested = 6611133148.221605
-y predicted = 6205077211.25975
-error 1.6488142394196992e+17
- y tested = 5377240292.736961
-y predicted = 2934828806.2012024
-error 5.965373869561816e+18
-error squared vector [8.826662656087454e+18, 2.44878337409449e+18, 9.243667538658262e+16, 1.0904819071234615e+19, 1.372448630426809e+17, 4.697968281323322e+18, 1.2931058698432463e+18, 6.570533583675235e+18, 1.6110063701948227e+18, 1.241955452707733e+16, 1.7242233169767747e+18, 3.348589263474963e+16, 1.3667217059446658e+16, 2.6996805294765855e+18, 3.000053299302805e+18, 6.98283270128806e+17, 6.4287968327882216e+16, 1169384960230022.2, 1.6488142394196992e+17, 5.965373869561816e+18]
-Total loo_error 2.5480043235890294e+18
-iteration 51current difference of loo_error 5.92206258241921e+17
- getting loo error of with lamda = 0.20187103083084626, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2952752245.296117
-error 8.718745821609133e+18
- y tested = 5326600510.288329
-y predicted = 3763394707.929641
-error 2.4436123805278705e+18
- y tested = 5072151352.996373
-y predicted = 5369860607.857946
-error 8.863080043023315e+16
- y tested = 7650055845.407672
-y predicted = 4364433703.413976
-error 1.0795312859959245e+19
- y tested = 5789616901.049658
-y predicted = 6163042581.154181
-error 1.3944673856152533e+17
- y tested = 8224428196.629629
-y predicted = 6073705659.402202
-error 4.625607432137983e+18
- y tested = 4059018123.5159216
-y predicted = 5197373767.09434
-error 1.295853571266836e+18
- y tested = 5947637003.818383
-y predicted = 3389576492.3717613
-error 6.543673580222553e+18
- y tested = 997516184.7000968
-y predicted = 2241894257.85945
-error 1.5484767889597842e+18
- y tested = 6532788063.289651
-y predicted = 6659202531.509706
-error 1.5980617775359202e+16
- y tested = 1980229389.772511
-y predicted = 3289263476.027444
-error 1.7135702389772872e+18
- y tested = 5035525633.343237
-y predicted = 5222583522.941127
-error 3.499065406081637e+16
- y tested = 5026691733.102776
-y predicted = 5148069226.7362795
-error 1.4732495960751284e+16
- y tested = 1014996574.3865615
-y predicted = 2637292650.4040704
-error 2.631844558261807e+18
- y tested = 7665772326.561901
-y predicted = 5945666052.997369
-error 2.9587655923560617e+18
- y tested = 3029054692.61153
-y predicted = 3872812779.612924
-error 7.119277093802524e+17
- y tested = 4062233415.93208
-y predicted = 3814413070.0976033
-error 6.141492380951952e+16
- y tested = 5822958761.806049
-y predicted = 5864308248.3519
-error 1709780037605492.5
- y tested = 6611133148.221605
-y predicted = 6211978862.867172
-error 1.5932414351680816e+17
- y tested = 5377240292.736961
-y predicted = 2933821765.216288
-error 5.970294100631295e+18
-error squared vector [8.718745821609133e+18, 2.4436123805278705e+18, 8.863080043023315e+16, 1.0795312859959245e+19, 1.3944673856152533e+17, 4.625607432137983e+18, 1.295853571266836e+18, 6.543673580222553e+18, 1.5484767889597842e+18, 1.5980617775359202e+16, 1.7135702389772872e+18, 3.499065406081637e+16, 1.4732495960751284e+16, 2.631844558261807e+18, 2.9587655923560617e+18, 7.119277093802524e+17, 6.141492380951952e+16, 1709780037605492.5, 1.5932414351680816e+17, 5.970294100631295e+18]
-Total loo_error 2.523695739422137e+18
-iteration 52current difference of loo_error 5.678976740750285e+17
- getting loo error of with lamda = 0.1957537268965782, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2934419094.7767253
-error 8.610815423301186e+18
- y tested = 5326600510.288329
-y predicted = 3765148721.326511
-error 2.4381316892520627e+18
- y tested = 5072151352.996373
-y predicted = 5363207221.694241
-error 8.471351870347022e+16
- y tested = 7650055845.407672
-y predicted = 4381239719.603785
-error 1.0685158864315535e+19
- y tested = 5789616901.049658
-y predicted = 6165647800.070934
-error 1.4139923701874942e+17
- y tested = 8224428196.629629
-y predicted = 6090507762.564116
-error 4.55361641892235e+18
- y tested = 4059018123.5159216
-y predicted = 5198467563.279084
-error 1.2983450257765852e+18
- y tested = 5947637003.818383
-y predicted = 3395072578.3527865
-error 6.515585146152511e+18
- y tested = 997516184.7000968
-y predicted = 2216950124.2709846
-error 1.4870191329773757e+18
- y tested = 6532788063.289651
-y predicted = 6673774408.81902
-error 1.987714962572673e+16
- y tested = 1980229389.772511
-y predicted = 3285314256.8407865
-error 1.703246510250618e+18
- y tested = 5035525633.343237
-y predicted = 5226572543.62342
-error 3.649892192760423e+16
- y tested = 5026691733.102776
-y predicted = 5152462267.288621
-error 1.58182272693929e+16
- y tested = 1014996574.3865615
-y predicted = 2616492107.924574
-error 2.5647879439422034e+18
- y tested = 7665772326.561901
-y predicted = 5957495493.347535
-error 2.9182097388969027e+18
- y tested = 3029054692.61153
-y predicted = 3881093490.4055066
-error 7.259701129462053e+17
- y tested = 4062233415.93208
-y predicted = 3820342250.857803
-error 5.851133574099109e+16
- y tested = 5822958761.806049
-y predicted = 5871216907.219333
-error 2328848598729600.5
- y tested = 6611133148.221605
-y predicted = 6218634829.083662
-error 1.5405493052611075e+17
- y tested = 5377240292.736961
-y predicted = 2932961664.4702563
-error 5.974498012601366e+18
-error squared vector [8.610815423301186e+18, 2.4381316892520627e+18, 8.471351870347022e+16, 1.0685158864315535e+19, 1.4139923701874942e+17, 4.55361641892235e+18, 1.2983450257765852e+18, 6.515585146152511e+18, 1.4870191329773757e+18, 1.987714962572673e+16, 1.703246510250618e+18, 3.649892192760423e+16, 1.58182272693929e+16, 2.5647879439422034e+18, 2.9182097388969027e+18, 7.259701129462053e+17, 5.851133574099109e+16, 2328848598729600.5, 1.5405493052611075e+17, 5.974498012601366e+18]
-Total loo_error 2.499429309437284e+18
-iteration 53current difference of loo_error 5.436312440901755e+17
- getting loo error of with lamda = 0.1898217958088031, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2915977185.5088577
-error 8.502922945922162e+18
- y tested = 5326600510.288329
-y predicted = 3767001830.890381
-error 2.432348040779824e+18
- y tested = 5072151352.996373
-y predicted = 5356233583.241253
-error 8.070271354090485e+16
- y tested = 7650055845.407672
-y predicted = 4398225631.654258
-error 1.0574399739079576e+19
- y tested = 5789616901.049658
-y predicted = 6167907230.594226
-error 1.431035734269379e+17
- y tested = 8224428196.629629
-y predicted = 6107359569.5129175
-error 4.481979571921838e+18
- y tested = 4059018123.5159216
-y predicted = 5199450009.842674
-error 1.3005848873507953e+18
- y tested = 5947637003.818383
-y predicted = 3400817231.829227
-error 6.486290950994898e+18
- y tested = 997516184.7000968
-y predicted = 2191946331.754278
-error 1.4266633761918733e+18
- y tested = 6532788063.289651
-y predicted = 6687946736.06488
-error 2.407421373737073e+16
- y tested = 1980229389.772511
-y predicted = 3281480889.337986
-error 1.6932554651213972e+18
- y tested = 5035525633.343237
-y predicted = 5230483953.143366
-error 3.800874645928934e+16
- y tested = 5026691733.102776
-y predicted = 5156778396.830033
-error 1.6922540079688632e+16
- y tested = 1014996574.3865615
-y predicted = 2595671986.9551873
-error 2.4985347598989957e+18
- y tested = 7665772326.561901
-y predicted = 5969200665.528841
-error 2.8783554010204764e+18
- y tested = 3029054692.61153
-y predicted = 3889526695.3581176
-error 7.404120675107237e+17
- y tested = 4062233415.93208
-y predicted = 3826469436.8315444
-error 5.558465384131769e+16
- y tested = 5822958761.806049
-y predicted = 5877885901.457301
-error 3016990670268117.0
- y tested = 6611133148.221605
-y predicted = 6225049888.963026
-error 1.4906028307972733e+17
- y tested = 5377240292.736961
-y predicted = 2932246569.140262
-error 5.977994308427253e+18
-error squared vector [8.502922945922162e+18, 2.432348040779824e+18, 8.070271354090485e+16, 1.0574399739079576e+19, 1.431035734269379e+17, 4.481979571921838e+18, 1.3005848873507953e+18, 6.486290950994898e+18, 1.4266633761918733e+18, 2.407421373737073e+16, 1.6932554651213972e+18, 3.800874645928934e+16, 1.6922540079688632e+16, 2.4985347598989957e+18, 2.8783554010204764e+18, 7.404120675107237e+17, 5.558465384131769e+16, 3016990670268117.0, 1.4906028307972733e+17, 5.977994308427253e+18]
-Total loo_error 2.475210761452766e+18
-iteration 54current difference of loo_error 5.1941269610565786e+17
- getting loo error of with lamda = 0.18406962020853634, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2897433278.2251844
-error 8.395119601283833e+18
- y tested = 5326600510.288329
-y predicted = 3768952028.0437794
-error 2.426268794238749e+18
- y tested = 5072151352.996373
-y predicted = 5348948234.730463
-error 7.661651373771573e+16
- y tested = 7650055845.407672
-y predicted = 4415387459.956801
-error 1.046307956383534e+19
- y tested = 5789616901.049658
-y predicted = 6169830011.431121
-error 1.445620093059466e+17
- y tested = 8224428196.629629
-y predicted = 6124265502.096288
-error 4.410683343509545e+18
- y tested = 4059018123.5159216
-y predicted = 5200323460.778917
-error 1.3025778728650004e+18
- y tested = 5947637003.818383
-y predicted = 3406807206.6389923
-error 6.455816058234665e+18
- y tested = 997516184.7000968
-y predicted = 2166891247.932765
-error 1.3674380385104067e+18
- y tested = 6532788063.289651
-y predicted = 6701719704.044014
-error 2.853789924796118e+16
- y tested = 1980229389.772511
-y predicted = 3277765627.261834
-error 1.6836002875979492e+18
- y tested = 5035525633.343237
-y predicted = 5234317395.39938
-error 3.95181646613861e+16
- y tested = 5026691733.102776
-y predicted = 5161018238.140095
-error 1.8043609955540936e+16
- y tested = 1014996574.3865615
-y predicted = 2574838883.7989426
-error 2.433108030232951e+18
- y tested = 7665772326.561901
-y predicted = 5980787701.148319
-error 2.8391731878801485e+18
- y tested = 3029054692.61153
-y predicted = 3898108672.0430098
-error 7.552548191656911e+17
- y tested = 4062233415.93208
-y predicted = 3832793624.330172
-error 5.264261797032685e+16
- y tested = 5822958761.806049
-y predicted = 5884320366.619409
-error 3765246545270874.5
- y tested = 6611133148.221605
-y predicted = 6231228835.4197235
-error 1.4432728688547005e+17
- y tested = 5377240292.736961
-y predicted = 2931674356.9985013
-error 5.98079274604433e+18
-error squared vector [8.395119601283833e+18, 2.426268794238749e+18, 7.661651373771573e+16, 1.046307956383534e+19, 1.445620093059466e+17, 4.410683343509545e+18, 1.3025778728650004e+18, 6.455816058234665e+18, 1.3674380385104067e+18, 2.853789924796118e+16, 1.6836002875979492e+18, 3.95181646613861e+16, 1.8043609955540936e+16, 2.433108030232951e+18, 2.8391731878801485e+18, 7.552548191656911e+17, 5.264261797032685e+16, 3765246545270874.5, 1.4432728688547005e+17, 5.98079274604433e+18]
-Total loo_error 2.4510462845854116e+18
-iteration 55current difference of loo_error 4.952482192383032e+17
- getting loo error of with lamda = 0.1784917529597928, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2878794238.857312
-error 8.287456269198252e+18
- y tested = 5326600510.288329
-y predicted = 3770997125.842767
-error 2.4199018896984883e+18
- y tested = 5072151352.996373
-y predicted = 5341359864.026309
-error 7.247322241095509e+16
- y tested = 7650055845.407672
-y predicted = 4432720963.077349
-error 1.0351243745059475e+19
- y tested = 5789616901.049658
-y predicted = 6171425472.910542
-error 1.457777855464476e+17
- y tested = 8224428196.629629
-y predicted = 6141229620.09297
-error 4.3397163092843633e+18
- y tested = 4059018123.5159216
-y predicted = 5201090258.296518
-error 1.3043287610423096e+18
- y tested = 5947637003.818383
-y predicted = 3413038838.8862486
-error 6.424187857677345e+18
- y tested = 997516184.7000968
-y predicted = 2141793309.6153004
-error 1.3093701386042043e+18
- y tested = 6532788063.289651
-y predicted = 6715093706.481459
-error 3.323534753957872e+16
- y tested = 1980229389.772511
-y predicted = 3274170665.7322197
-error 1.674284025632239e+18
- y tested = 5035525633.343237
-y predicted = 5238072414.190518
-error 4.1025198431596664e+16
- y tested = 5026691733.102776
-y predicted = 5165182372.1492605
-error 1.917965710350378e+16
- y tested = 1014996574.3865615
-y predicted = 2553999402.4221725
-error 2.368529704701609e+18
- y tested = 7665772326.561901
-y predicted = 5992262638.984393
-error 2.8006346744157686e+18
- y tested = 3029054692.61153
-y predicted = 3906835568.436943
-error 7.704992659648296e+17
- y tested = 4062233415.93208
-y predicted = 3839313614.226486
-error 4.969323799246117e+16
- y tested = 5822958761.806049
-y predicted = 5890525679.721437
-error 4565288396584794.0
- y tested = 6611133148.221605
-y predicted = 6237176471.880154
-error 1.3984359578034522e+17
- y tested = 5377240292.736961
-y predicted = 2931242725.044013
-error 5.982904101159819e+18
-error squared vector [8.287456269198252e+18, 2.4199018896984883e+18, 7.247322241095509e+16, 1.0351243745059475e+19, 1.457777855464476e+17, 4.3397163092843633e+18, 1.3043287610423096e+18, 6.424187857677345e+18, 1.3093701386042043e+18, 3.323534753957872e+16, 1.674284025632239e+18, 4.1025198431596664e+16, 1.917965710350378e+16, 2.368529704701609e+18, 2.8006346744157686e+18, 7.704992659648296e+17, 4.969323799246117e+16, 4565288396584794.0, 1.3984359578034522e+17, 5.982904101159819e+18]
-Total loo_error 2.4269425037820093e+18
-iteration 56current difference of loo_error 4.71144438434901e+17
- getting loo error of with lamda = 0.17308291199131423, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2860067033.7240667
-error 8.179983436918503e+18
- y tested = 5326600510.288329
-y predicted = 3773134768.939934
-error 2.4132558095431194e+18
- y tested = 5072151352.996373
-y predicted = 5333477292.68452
-error 6.829124675389283e+16
- y tested = 7650055845.407672
-y predicted = 4450221644.185995
-error 1.0238938915307966e+19
- y tested = 5789616901.049658
-y predicted = 6172703124.488973
-error 1.4675505458899667e+17
- y tested = 8224428196.629629
-y predicted = 6158255608.976908
-error 4.269069161967543e+18
- y tested = 4059018123.5159216
-y predicted = 5201752734.535347
-error 1.3058423912217175e+18
- y tested = 5947637003.818383
-y predicted = 3419508053.405987
-error 6.391435989913286e+18
- y tested = 997516184.7000968
-y predicted = 2116661014.069632
-error 1.252485149104566e+18
- y tested = 6532788063.289651
-y predicted = 6728069337.426588
-error 3.813477602854559e+16
- y tested = 1980229389.772511
-y predicted = 3270698143.6285377
-error 1.6653096046787264e+18
- y tested = 5035525633.343237
-y predicted = 5241748457.449734
-error 4.252785318245912e+16
- y tested = 5026691733.102776
-y predicted = 5169271341.93518
-error 2.0328944854801376e+16
- y tested = 1014996574.3865615
-y predicted = 2533160147.5292215
-error 2.3048206348172892e+18
- y tested = 7665772326.561901
-y predicted = 6003631412.648777
-error 2.7627124177039555e+18
- y tested = 3029054692.61153
-y predicted = 3915703411.737232
-error 7.861459511272486e+17
- y tested = 4062233415.93208
-y predicted = 3846028020.5048943
-error 4.674477301182566e+16
- y tested = 5822958761.806049
-y predicted = 5896507456.33345
-error 5409410466684941.0
- y tested = 6611133148.221605
-y predicted = 6242897609.173649
-error 1.3559741221793907e+17
- y tested = 5377240292.736961
-y predicted = 2930949196.2747583
-error 5.984340128630247e+18
-error squared vector [8.179983436918503e+18, 2.4132558095431194e+18, 6.829124675389283e+16, 1.0238938915307966e+19, 1.4675505458899667e+17, 4.269069161967543e+18, 1.3058423912217175e+18, 6.391435989913286e+18, 1.252485149104566e+18, 3.813477602854559e+16, 1.6653096046787264e+18, 4.252785318245912e+16, 2.0328944854801376e+16, 2.3048206348172892e+18, 2.7627124177039555e+18, 7.861459511272486e+17, 4.674477301182566e+16, 5409410466684941.0, 1.3559741221793907e+17, 5.984340128630247e+18]
-Total loo_error 2.4029064531019663e+18
-iteration 57current difference of loo_error 4.47108387754858e+17
- getting loo error of with lamda = 0.16783797529460773, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3000-3300'
+--- Neighbour 0 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 27 in the X datas point
+--------------
+ --- Configuration: 3300-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5072151352.996373
+ --- Energy: 36.711179058531826
+ --- Workload: 186205000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 23 in the X datas point
+--------------
+ --- Configuration: 3333-3300
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3000-3300'
+--- Neighbour 0 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 27 in the X datas point
+--------------
+ --- Configuration: 3300-3000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5072151352.996373
+ --- Energy: 36.711179058531826
+ --- Workload: 186205000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 52 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 42.474892742303716
+ --- Workload: 274951000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+--------------
+ --- Configuration: 3333-3300
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 30 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 42.19510352720739
+ --- Workload: 278957000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.19510352720739 mAh) it is NOT far from the median.
+--- Median :42.19510352720739, the gap is : 10
+--- So No we don't romove this configuration '3000-3300'
+ --- remove_aberrant_points: The value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '0000-1000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2841258724.202755
-error 8.072751137384722e+18
- y tested = 5326600510.288329
-y predicted = 3775362443.7535086
-error 2.4063395390666885e+18
- y tested = 5072151352.996373
-y predicted = 5325309463.632116
-error 6.408902898065917e+16
- y tested = 7650055845.407672
-y predicted = 4467884757.961241
-error 1.0126212829780003e+19
- y tested = 5789616901.049658
-y predicted = 6173672642.087315
-error 1.4749881222398368e+17
- y tested = 8224428196.629629
-y predicted = 6175346768.770755
-error 4.198734697996163e+18
- y tested = 4059018123.5159216
-y predicted = 5202313213.115429
-error 1.3071236619023455e+18
- y tested = 5947637003.818383
-y predicted = 3426210371.313387
-error 6.357592263105486e+18
- y tested = 997516184.7000968
-y predicted = 2091502909.7323759
-error 1.1968069545468513e+18
- y tested = 6532788063.289651
-y predicted = 6740647388.153806
-error 4.320549893298225e+16
- y tested = 1980229389.772511
-y predicted = 3267350145.791536
-error 1.656679840574986e+18
- y tested = 5035525633.343237
-y predicted = 5245344881.680199
-error 4.4024116972687624e+16
- y tested = 5026691733.102776
-y predicted = 5173285656.708682
-error 2.1489778438174348e+16
- y tested = 1014996574.3865615
-y predicted = 2512327717.241982
-error 2.2420005513647199e+18
- y tested = 7665772326.561901
-y predicted = 6014899838.781733
-error 2.7253799709094825e+18
- y tested = 3029054692.61153
-y predicted = 3924708117.202917
-error 8.021950569822798e+17
- y tested = 4062233415.93208
-y predicted = 3852935279.052929
-error 4.380571010108378e+16
- y tested = 5822958761.806049
-y predicted = 5902271546.949338
-error 6290517887185463.0
- y tested = 6611133148.221605
-y predicted = 6248397062.653531
-error 1.3157746777324926e+17
- y tested = 5377240292.736961
-y predicted = 2930791126.597708
-error 5.985113522503447e+18
-error squared vector [8.072751137384722e+18, 2.4063395390666885e+18, 6.408902898065917e+16, 1.0126212829780003e+19, 1.4749881222398368e+17, 4.198734697996163e+18, 1.3071236619023455e+18, 6.357592263105486e+18, 1.1968069545468513e+18, 4.320549893298225e+16, 1.656679840574986e+18, 4.4024116972687624e+16, 2.1489778438174348e+16, 2.2420005513647199e+18, 2.7253799709094825e+18, 8.021950569822798e+17, 4.380571010108378e+16, 6290517887185463.0, 1.3157746777324926e+17, 5.985113522503447e+18]
-Total loo_error 2.378945547871359e+18
-iteration 58current difference of loo_error 4.231474825242506e+17
- getting loo error of with lamda = 0.162751976073559, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2822376460.9045844
-error 7.96580888659789e+18
- y tested = 5326600510.288329
-y predicted = 3777677488.8072968
-error 2.399162526473931e+18
- y tested = 5072151352.996373
-y predicted = 5316865428.502738
-error 5.9884978750934824e+16
- y tested = 7650055845.407672
-y predicted = 4485705317.960373
-error 1.0013114260556e+19
- y tested = 5789616901.049658
-y predicted = 6174343855.279901
-error 1.480148293112793e+17
- y tested = 8224428196.629629
-y predicted = 6192506004.038157
-error 4.1287077967457336e+18
- y tested = 4059018123.5159216
-y predicted = 5202774010.506071
-error 1.3081775290246236e+18
- y tested = 5947637003.818383
-y predicted = 3433140918.637977
-error 6.322690562387588e+18
- y tested = 997516184.7000968
-y predicted = 2066327586.3972285
-error 1.1423578123977873e+18
- y tested = 6532788063.289651
-y predicted = 6752828843.571805
-error 4.841794498717921e+16
- y tested = 1980229389.772511
-y predicted = 3264128705.0487766
-error 1.6483974517668636e+18
- y tested = 5035525633.343237
-y predicted = 5248860956.585043
-error 4.5511960142685864e+16
- y tested = 5026691733.102776
-y predicted = 5177225795.7765665
-error 2.2660504025076816e+16
- y tested = 1014996574.3865615
-y predicted = 2491508695.428092
-error 2.1800880435825595e+18
- y tested = 7665772326.561901
-y predicted = 6026073605.813071
-error 2.688611894825349e+18
- y tested = 3029054692.61153
-y predicted = 3933845497.0200925
-error 8.186463997422939e+17
- y tested = 4062233415.93208
-y predicted = 3860033656.662512
-error 4.088474264867124e+16
- y tested = 5822958761.806049
-y predicted = 5907824032.634977
-error 7202114192867297.0
- y tested = 6611133148.221605
-y predicted = 6253679649.536347
-error 1.2777300372233168e+17
- y tested = 5377240292.736961
-y predicted = 2930765711.872823
-error 5.985237874814361e+18
-error squared vector [7.96580888659789e+18, 2.399162526473931e+18, 5.9884978750934824e+16, 1.0013114260556e+19, 1.480148293112793e+17, 4.1287077967457336e+18, 1.3081775290246236e+18, 6.322690562387588e+18, 1.1423578123977873e+18, 4.841794498717921e+16, 1.6483974517668636e+18, 4.5511960142685864e+16, 2.2660504025076816e+16, 2.1800880435825595e+18, 2.688611894825349e+18, 8.186463997422939e+17, 4.088474264867124e+16, 7202114192867297.0, 1.2777300372233168e+17, 5.985237874814361e+18]
-Total loo_error 2.3550675558348e+18
-iteration 59current difference of loo_error 3.992694904876918e+17
- getting loo error of with lamda = 0.15782009804102692, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2803427477.37647
-error 7.85920562044216e+18
- y tested = 5326600510.288329
-y predicted = 3780077105.2054815
-error 2.391734642469046e+18
- y tested = 5072151352.996373
-y predicted = 5308154334.663965
-error 5.569740735599379e+16
- y tested = 7650055845.407672
-y predicted = 4503678104.445094
-error 9.899692888824775e+18
- y tested = 5789616901.049658
-y predicted = 6174726734.355651
-error 1.483095837089698e+17
- y tested = 8224428196.629629
-y predicted = 6209735815.059534
-error 4.0589853923565814e+18
- y tested = 4059018123.5159216
-y predicted = 5203137437.205732
-error 1.3090090039580436e+18
- y tested = 5947637003.818383
-y predicted = 3440294436.0361037
-error 6.286766752213035e+18
- y tested = 997516184.7000968
-y predicted = 2041143664.9269404
-error 1.0891583174846308e+18
- y tested = 6532788063.289651
-y predicted = 6764614878.148413
-error 5.3743672087558616e+16
- y tested = 1980229389.772511
-y predicted = 3261035804.068171
-error 1.640465070900906e+18
- y tested = 5035525633.343237
-y predicted = 5252295869.879483
-error 4.698933544798017e+16
- y tested = 5026691733.102776
-y predicted = 5181092212.468261
-error 2.383950802829162e+16
- y tested = 1014996574.3865615
-y predicted = 2470709643.724252
-error 2.1191005402405606e+18
- y tested = 7665772326.561901
-y predicted = 6037158263.3183155
-error 2.6523837669947817e+18
- y tested = 3029054692.61153
-y predicted = 3943111269.1902747
-error 8.354994251868549e+17
- y tested = 4062233415.93208
-y predicted = 3867321260.208576
-error 3.799074844878331e+16
- y tested = 5822958761.806049
-y predicted = 5913171219.960799
-error 8138287606322496.0
- y tested = 6611133148.221605
-y predicted = 6258750186.446296
-error 1.2417375174953928e+17
- y tested = 5377240292.736961
-y predicted = 2930869995.0861506
-error 5.984727633228116e+18
-error squared vector [7.85920562044216e+18, 2.391734642469046e+18, 5.569740735599379e+16, 9.899692888824775e+18, 1.483095837089698e+17, 4.0589853923565814e+18, 1.3090090039580436e+18, 6.286766752213035e+18, 1.0891583174846308e+18, 5.3743672087558616e+16, 1.640465070900906e+18, 4.698933544798017e+16, 2.383950802829162e+16, 2.1191005402405606e+18, 2.6523837669947817e+18, 8.354994251868549e+17, 3.799074844878331e+16, 8138287606322496.0, 1.2417375174953928e+17, 5.984727633228116e+18]
-Total loo_error 2.331280567436647e+18
-iteration 60current difference of loo_error 3.7548250208953856e+17
- getting loo error of with lamda = 0.1530376708579655, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2784419083.354768
-error 7.752989631286135e+18
- y tested = 5326600510.288329
-y predicted = 3782558367.2058115
-error 2.3840661396148536e+18
- y tested = 5072151352.996373
-y predicted = 5299185411.9755335
-error 5.154446393655284e+16
- y tested = 7650055845.407672
-y predicted = 4521797672.64924
-error 9.785999195429927e+18
- y tested = 5789616901.049658
-y predicted = 6174831377.272789
-error 1.483901926918613e+17
- y tested = 8224428196.629629
-y predicted = 6227038290.232796
-error 3.989566438175951e+18
- y tested = 4059018123.5159216
-y predicted = 5203405798.724108
-error 1.309623151168397e+18
- y tested = 5947637003.818383
-y predicted = 3447665289.568286
-error 6.24985857205057e+18
- y tested = 997516184.7000968
-y predicted = 2015959786.5365174
-error 1.0372273701215415e+18
- y tested = 6532788063.289651
-y predicted = 6776006851.36071
-error 5.9155378870754824e+16
- y tested = 1980229389.772511
-y predicted = 3258073377.0431323
-error 1.6328852558036797e+18
- y tested = 5035525633.343237
-y predicted = 5255648732.272518
-error 4.8454178682230136e+16
- y tested = 5026691733.102776
-y predicted = 5184885338.01374
-error 2.5025216634726176e+16
- y tested = 1014996574.3865615
-y predicted = 2449937093.3027744
-error 2.0590542928275308e+18
- y tested = 7665772326.561901
-y predicted = 6048159211.995875
-error 2.6166721884159985e+18
- y tested = 3029054692.61153
-y predicted = 3952501066.4388676
-error 8.527532053348593e+17
- y tested = 4062233415.93208
-y predicted = 3874796045.970718
-error 3.513276765803245e+16
- y tested = 5822958761.806049
-y predicted = 5918319635.2279415
-error 9093696179786140.0
- y tested = 6611133148.221605
-y predicted = 6263613487.151048
-error 1.2076991483059522e+17
- y tested = 5377240292.736961
-y predicted = 2931100873.644923
-error 5.983598057635934e+18
-error squared vector [7.752989631286135e+18, 2.3840661396148536e+18, 5.154446393655284e+16, 9.785999195429927e+18, 1.483901926918613e+17, 3.989566438175951e+18, 1.309623151168397e+18, 6.24985857205057e+18, 1.0372273701215415e+18, 5.9155378870754824e+16, 1.6328852558036797e+18, 4.8454178682230136e+16, 2.5025216634726176e+16, 2.0590542928275308e+18, 2.6166721884159985e+18, 8.527532053348593e+17, 3.513276765803245e+16, 9093696179786140.0, 1.2076991483059522e+17, 5.983598057635934e+18]
-Total loo_error 2.3075929653674957e+18
-iteration 61current difference of loo_error 3.517949000203873e+17
- getting loo error of with lamda = 0.14840016571075443, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2765358657.596971
-error 7.647208504685627e+18
- y tested = 5326600510.288329
-y predicted = 3785118232.8544755
-error 2.37616761164266e+18
- y tested = 5072151352.996373
-y predicted = 5289967959.318711
-error 4.744407398978042e+16
- y tested = 7650055845.407672
-y predicted = 4540058361.472822
-error 9.672084350081096e+18
- y tested = 5789616901.049658
-y predicted = 6174667996.528312
-error 1.4826434612931146e+17
- y tested = 8224428196.629629
-y predicted = 6244415099.735566
-error 3.920451863872018e+18
- y tested = 4059018123.5159216
-y predicted = 5203581396.360251
-error 1.310025085544124e+18
- y tested = 5947637003.818383
-y predicted = 3455247482.5212755
-error 6.212005525871625e+18
- y tested = 997516184.7000968
-y predicted = 1990784601.6980622
-error 9.865821482056439e+17
- y tested = 6532788063.289651
-y predicted = 6787006302.683206
-error 6.462691324035868e+16
- y tested = 1980229389.772511
-y predicted = 3255243311.212919
-error 1.6256604998668475e+18
- y tested = 5035525633.343237
-y predicted = 5258918582.605859
-error 4.990440978025235e+16
- y tested = 5026691733.102776
-y predicted = 5188605585.360744
-error 2.621609555301538e+16
- y tested = 1014996574.3865615
-y predicted = 2429197536.429914
-error 1.999964361044344e+18
- y tested = 7665772326.561901
-y predicted = 6059081694.287257
-error 2.581454787839095e+18
- y tested = 3029054692.61153
-y predicted = 3962010445.1400743
-error 8.704064361761027e+17
- y tested = 4062233415.93208
-y predicted = 3882455829.0637197
-error 3.231998074021074e+16
- y tested = 5822958761.806049
-y predicted = 5923276018.00118
-error 1.0063551890519418e+16
- y tested = 6611133148.221605
-y predicted = 6268274360.473324
-error 1.1755214833622114e+17
- y tested = 5377240292.736961
-y predicted = 2931455106.786903
-error 5.981865175812762e+18
-error squared vector [7.647208504685627e+18, 2.37616761164266e+18, 4.744407398978042e+16, 9.672084350081096e+18, 1.4826434612931146e+17, 3.920451863872018e+18, 1.310025085544124e+18, 6.212005525871625e+18, 9.865821482056439e+17, 6.462691324035868e+16, 1.6256604998668475e+18, 4.990440978025235e+16, 2.621609555301538e+16, 1.999964361044344e+18, 2.581454787839095e+18, 8.704064361761027e+17, 3.231998074021074e+16, 1.0063551890519418e+16, 1.1755214833622114e+17, 5.981865175812762e+18]
-Total loo_error 2.284013393515081e+18
-iteration 62current difference of loo_error 3.282153281679726e+17
- getting loo error of with lamda = 0.14390319102254975, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2746253640.319879
-error 7.541909056512478e+18
- y tested = 5326600510.288329
-y predicted = 3787753554.6462436
-error 2.368049952888915e+18
- y tested = 5072151352.996373
-y predicted = 5280511330.939119
-error 4.341388040830166e+16
- y tested = 7650055845.407672
-y predicted = 4558454302.584442
-error 9.558000099586976e+18
- y tested = 5789616901.049658
-y predicted = 6174246905.963145
-error 1.4794024067974938e+17
- y tested = 8224428196.629629
-y predicted = 6261867490.48121
-error 3.8516445253177825e+18
- y tested = 4059018123.5159216
-y predicted = 5203666527.773312
-error 1.3102199693689894e+18
- y tested = 5947637003.818383
-y predicted = 3463034668.2477508
-error 6.173248765923041e+18
- y tested = 997516184.7000968
-y predicted = 1965626758.7190251
-error 9.372380835272589e+17
- y tested = 6532788063.289651
-y predicted = 6797614946.130459
-error 7.0133277875179e+16
- y tested = 1980229389.772511
-y predicted = 3252547448.2214665
-error 1.6187932418553198e+18
- y tested = 5035525633.343237
-y predicted = 5262104393.134417
-error 5.133793438850909e+16
- y tested = 5026691733.102776
-y predicted = 5192253352.919488
-error 2.741064995633361e+16
- y tested = 1014996574.3865615
-y predicted = 2408497417.8666964
-error 1.9418446007798477e+18
- y tested = 7665772326.561901
-y predicted = 6069930785.659521
-error 2.5467102236696827e+18
- y tested = 3029054692.61153
-y predicted = 3971634894.252757
-error 8.884574365260166e+17
- y tested = 4062233415.93208
-y predicted = 3890298292.940868
-error 2.956168651800316e+16
- y tested = 5822958761.806049
-y predicted = 5928047313.96584
-error 1.1043603795041112e+16
- y tested = 6611133148.221605
-y predicted = 6272737608.363073
-error 1.1451154139614728e+17
- y tested = 5377240292.736961
-y predicted = 2931929323.0944424
-error 5.979545738254036e+18
-error squared vector [7.541909056512478e+18, 2.368049952888915e+18, 4.341388040830166e+16, 9.558000099586976e+18, 1.4794024067974938e+17, 3.8516445253177825e+18, 1.3102199693689894e+18, 6.173248765923041e+18, 9.372380835272589e+17, 7.0133277875179e+16, 1.6187932418553198e+18, 5.133793438850909e+16, 2.741064995633361e+16, 1.9418446007798477e+18, 2.5467102236696827e+18, 8.884574365260166e+17, 2.956168651800316e+16, 1.1043603795041112e+16, 1.1451154139614728e+17, 5.979545738254036e+18]
-Total loo_error 2.2605507254613804e+18
-iteration 63current difference of loo_error 3.04752660114272e+17
- getting loo error of with lamda = 0.1395424882945937, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2727111525.273849
-error 7.437137270826939e+18
- y tested = 5326600510.288329
-y predicted = 3790461090.173236
-error 2.359724318031535e+18
- y tested = 5072151352.996373
-y predicted = 5270824922.646462
-error 3.947118727750887e+16
- y tested = 7650055845.407672
-y predicted = 4576979429.912119
-error 9.443798655474997e+18
- y tested = 5789616901.049658
-y predicted = 6173578507.52523
-error 1.4742651524730246e+17
- y tested = 8224428196.629629
-y predicted = 6279396282.395945
-error 3.783149147387551e+18
- y tested = 4059018123.5159216
-y predicted = 5203663487.3436575
-error 1.31021300893233e+18
- y tested = 5947637003.818383
-y predicted = 3471020163.9899054
-error 6.133630971321996e+18
- y tested = 997516184.7000968
-y predicted = 1940494892.0480351
-error 8.892088425115886e+17
- y tested = 6532788063.289651
-y predicted = 6807834664.371886
-error 7.56506327668903e+16
- y tested = 1980229389.772511
-y predicted = 3249987585.3171325
-error 1.6122858751527332e+18
- y tested = 5035525633.343237
-y predicted = 5265205074.934492
-error 5.27526458896708e+16
- y tested = 5026691733.102776
-y predicted = 5195829028.2236595
-error 2.860742460080899e+16
- y tested = 1014996574.3865615
-y predicted = 2387843126.1625
-error 1.8847076547230845e+18
- y tested = 7665772326.561901
-y predicted = 6080711386.564645
-error 2.5124181835049856e+18
- y tested = 3029054692.61153
-y predicted = 3981369844.2609444
-error 9.069041480610474e+17
- y tested = 4062233415.93208
-y predicted = 3898320998.9341097
-error 2.686728044611644e+16
- y tested = 5822958761.806049
-y predicted = 5932640667.129394
-error 1.2030120355359048e+16
- y tested = 6611133148.221605
-y predicted = 6277008024.112751
-error 1.1163959856075728e+17
- y tested = 5377240292.736961
-y predicted = 2932520028.102207
-error 5.976657172315822e+18
-error squared vector [7.437137270826939e+18, 2.359724318031535e+18, 3.947118727750887e+16, 9.443798655474997e+18, 1.4742651524730246e+17, 3.783149147387551e+18, 1.31021300893233e+18, 6.133630971321996e+18, 8.892088425115886e+17, 7.56506327668903e+16, 1.6122858751527332e+18, 5.27526458896708e+16, 2.860742460080899e+16, 1.8847076547230845e+18, 2.5124181835049856e+18, 9.069041480610474e+17, 2.686728044611644e+16, 1.2030120355359048e+16, 1.1163959856075728e+17, 5.976657172315822e+18]
-Total loo_error 2.2372140326694515e+18
-iteration 64current difference of loo_error 2.8141596732234317e+17
- getting loo error of with lamda = 0.13531392807354542, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2707939851.4839263
-error 7.332938238803464e+18
- y tested = 5326600510.288329
-y predicted = 3793237512.727103
-error 2.351202082289948e+18
- y tested = 5072151352.996373
-y predicted = 5260918157.91626
-error 3.563290663966252e+16
- y tested = 7650055845.407672
-y predicted = 4595627489.499956
-error 9.329532581373112e+18
- y tested = 5789616901.049658
-y predicted = 6172673278.0120325
-error 1.467321879315409e+17
- y tested = 8224428196.629629
-y predicted = 6297001866.039321
-error 3.71497225985282e+18
- y tested = 4059018123.5159216
-y predicted = 5203574566.325096
-error 1.3100094507759913e+18
- y tested = 5947637003.818383
-y predicted = 3479196965.646607
-error 6.093196222049481e+18
- y tested = 997516184.7000968
-y predicted = 1915397610.3631113
-error 8.425063115771679e+17
- y tested = 6532788063.289651
-y predicted = 6817667502.441116
-error 8.115629485125349e+16
- y tested = 1980229389.772511
-y predicted = 3247565476.3948903
-error 1.606140756455327e+18
- y tested = 5035525633.343237
-y predicted = 5268219483.422179
-error 5.414642786456127e+16
- y tested = 5026691733.102776
-y predicted = 5199332991.496993
-error 2.9805004099938972e+16
- y tested = 1014996574.3865615
-y predicted = 2367240984.892078
-error 1.828564945743412e+18
- y tested = 7665772326.561901
-y predicted = 6091428215.087548
-error 2.4785593813339694e+18
- y tested = 3029054692.61153
-y predicted = 3991210676.11033
-error 9.257441365825436e+17
- y tested = 4062233415.93208
-y predicted = 3906521395.795223
-error 2.424623321510082e+16
- y tested = 5822958761.806049
-y predicted = 5937063411.392024
-error 1.3019871057138074e+16
- y tested = 6611133148.221605
-y predicted = 6281090390.698759
-error 1.0892822179328427e+17
- y tested = 5377240292.736961
-y predicted = 2933223611.986444
-error 5.973217535786777e+18
-error squared vector [7.332938238803464e+18, 2.351202082289948e+18, 3.563290663966252e+16, 9.329532581373112e+18, 1.467321879315409e+17, 3.71497225985282e+18, 1.3100094507759913e+18, 6.093196222049481e+18, 8.425063115771679e+17, 8.115629485125349e+16, 1.606140756455327e+18, 5.414642786456127e+16, 2.9805004099938972e+16, 1.828564945743412e+18, 2.4785593813339694e+18, 9.257441365825436e+17, 2.424623321510082e+16, 1.3019871057138074e+16, 1.0892822179328427e+17, 5.973217535786777e+18]
-Total loo_error 2.214012552503825e+18
-iteration 65current difference of loo_error 2.5821448715671654e+17
- getting loo error of with lamda = 0.13121350604101373, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2688746194.690112
-error 7.229356099012433e+18
- y tested = 5326600510.288329
-y predicted = 3796079421.8190064
-error 2.3424948022493204e+18
- y tested = 5072151352.996373
-y predicted = 5250800473.938952
-error 3.1915508413556316e+16
- y tested = 7650055845.407672
-y predicted = 4614392049.706917
-error 9.215254680528316e+18
- y tested = 5789616901.049658
-y predicted = 6171541755.815028
-error 1.4586659468754925e+17
- y tested = 8224428196.629629
-y predicted = 6314684201.584921
-error 3.6471221266093225e+18
- y tested = 4059018123.5159216
-y predicted = 5203402052.790615
-error 1.3096145775821868e+18
- y tested = 5947637003.818383
-y predicted = 3487557763.4380283
-error 6.051989868950384e+18
- y tested = 997516184.7000968
-y predicted = 1890343484.4986455
-error 7.971405872655676e+17
- y tested = 6532788063.289651
-y predicted = 6827115661.063341
-error 8.662873481123118e+16
- y tested = 1980229389.772511
-y predicted = 3245282832.883186
-error 1.6003602139261734e+18
- y tested = 5035525633.343237
-y predicted = 5271146423.96619
-error 5.551715697378565e+16
- y tested = 5026691733.102776
-y predicted = 5202765619.1156845
-error 3.100201333568685e+16
- y tested = 1014996574.3865615
-y predicted = 2346697243.8872275
-error 1.7734266731485225e+18
- y tested = 7665772326.561901
-y predicted = 6102085800.290619
-error 2.445115552442349e+18
- y tested = 3029054692.61153
-y predicted = 4001152730.131588
-error 9.449745945503484e+17
- y tested = 4062233415.93208
-y predicted = 3914896829.2013326
-error 2.1708069789467e+16
- y tested = 5822958761.806049
-y predicted = 5941323061.51361
-error 1.4010107445261216e+16
- y tested = 6611133148.221605
-y predicted = 6284989479.231617
-error 1.0636969282225107e+17
- y tested = 5377240292.736961
-y predicted = 2934036357.3216815
-error 5.969245470028711e+18
-error squared vector [7.229356099012433e+18, 2.3424948022493204e+18, 3.1915508413556316e+16, 9.215254680528316e+18, 1.4586659468754925e+17, 3.6471221266093225e+18, 1.3096145775821868e+18, 6.051989868950384e+18, 7.971405872655676e+17, 8.662873481123118e+16, 1.6003602139261734e+18, 5.551715697378565e+16, 3.100201333568685e+16, 1.7734266731485225e+18, 2.445115552442349e+18, 9.449745945503484e+17, 2.1708069789467e+16, 1.4010107445261216e+16, 1.0636969282225107e+17, 5.969245470028711e+18]
-Total loo_error 2.190955656228621e+18
-iteration 66current difference of loo_error 2.351575908815127e+17
- getting loo error of with lamda = 0.12723733922158906, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2669538158.5193024
-error 7.126433979345704e+18
- y tested = 5326600510.288329
-y predicted = 3798983353.584221
-error 2.333614177456744e+18
- y tested = 5072151352.996373
-y predicted = 5240481307.662657
-error 2.8334973637953096e+16
- y tested = 7650055845.407672
-y predicted = 4633266511.72117
-error 9.101017883844646e+18
- y tested = 5789616901.049658
-y predicted = 6170194527.687985
-error 1.4483932989766227e+17
- y tested = 8224428196.629629
-y predicted = 6332442819.172929
-error 3.579608668509973e+18
- y tested = 4059018123.5159216
-y predicted = 5203148231.376278
-error 1.3090337037125507e+18
- y tested = 5947637003.818383
-y predicted = 3496094958.414925
-error 6.010058400380971e+18
- y tested = 997516184.7000968
-y predicted = 1865341035.267513
-error 7.531199712623583e+17
- y tested = 6532788063.289651
-y predicted = 6836181489.627386
-error 9.204757114495074e+16
- y tested = 1980229389.772511
-y predicted = 3243141324.4750757
-error 1.594946554814175e+18
- y tested = 5035525633.343237
-y predicted = 5273984657.577207
-error 5.686270623861694e+16
- y tested = 5026691733.102776
-y predicted = 5206127286.956977
-error 3.219711798696398e+16
- y tested = 1014996574.3865615
-y predicted = 2326218070.512772
-error 1.7193018119034583e+18
- y tested = 7665772326.561901
-y predicted = 6112688476.259113
-error 2.4120694460713324e+18
- y tested = 3029054692.61153
-y predicted = 4011191314.9389977
-error 9.645923449168073e+17
- y tested = 4062233415.93208
-y predicted = 3923444551.1893415
-error 1.9262348976578092e+16
- y tested = 5822958761.806049
-y predicted = 5945427303.508373
-error 1.4998543706693852e+16
- y tested = 6611133148.221605
-y predicted = 6288710047.496344
-error 1.0395665588129224e+17
- y tested = 5377240292.736961
-y predicted = 2934954446.890823
-error 5.964760152820388e+18
-error squared vector [7.126433979345704e+18, 2.333614177456744e+18, 2.8334973637953096e+16, 9.101017883844646e+18, 1.4483932989766227e+17, 3.579608668509973e+18, 1.3090337037125507e+18, 6.010058400380971e+18, 7.531199712623583e+17, 9.204757114495074e+16, 1.594946554814175e+18, 5.686270623861694e+16, 3.219711798696398e+16, 1.7193018119034583e+18, 2.4120694460713324e+18, 9.645923449168073e+17, 1.9262348976578092e+16, 1.4998543706693852e+16, 1.0395665588129224e+17, 5.964760152820388e+18]
-Total loo_error 2.1680528171254907e+18
-iteration 67current difference of loo_error 2.1225475177838234e+17
- getting loo error of with lamda = 0.12338166230578333, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2650323365.422803
-error 7.024213940864331e+18
- y tested = 5326600510.288329
-y predicted = 3801945791.0381527
-error 2.3245720129318344e+18
- y tested = 5072151352.996373
-y predicted = 5229970081.876551
-error 2.4906751185354972e+16
- y tested = 7650055845.407672
-y predicted = 4652244120.363044
-error 8.986875138815049e+18
- y tested = 5789616901.049658
-y predicted = 6168642215.56241
-error 1.4366018904149098e+17
- y tested = 8224428196.629629
-y predicted = 6350276820.640207
-error 3.5124433801230433e+18
- y tested = 4059018123.5159216
-y predicted = 5202815382.830054
-error 1.3082721704145213e+18
- y tested = 5947637003.818383
-y predicted = 3504800679.7552333
-error 5.967449306162362e+18
- y tested = 997516184.7000968
-y predicted = 1840398721.2358806
-error 7.104509703969969e+17
- y tested = 6532788063.289651
-y predicted = 6844867478.831291
-error 9.739356160481179e+16
- y tested = 1980229389.772511
-y predicted = 3241142579.704344
-error 1.5899020725440701e+18
- y tested = 5035525633.343237
-y predicted = 5276732906.655864
-error 5.8180948698912264e+16
- y tested = 5026691733.102776
-y predicted = 5209418373.625477
-error 3.3389025156712492e+16
- y tested = 1014996574.3865615
-y predicted = 2305809541.036254
-error 1.6661981148709804e+18
- y tested = 7665772326.561901
-y predicted = 6123240376.848482
-error 2.3794048158866816e+18
- y tested = 3029054692.61153
-y predicted = 4021321716.2918057
-error 9.845938462833133e+17
- y tested = 4062233415.93208
-y predicted = 3932161729.4836473
-error 1.6918643615539324e+16
- y tested = 5822958761.806049
-y predicted = 5949383984.500206
-error 1.59833369332671e+16
- y tested = 6611133148.221605
-y predicted = 6292256838.565413
-error 1.0168210085995154e+17
- y tested = 5377240292.736961
-y predicted = 2935973971.532221
-error 5.959781251048527e+18
-error squared vector [7.024213940864331e+18, 2.3245720129318344e+18, 2.4906751185354972e+16, 8.986875138815049e+18, 1.4366018904149098e+17, 3.5124433801230433e+18, 1.3082721704145213e+18, 5.967449306162362e+18, 7.104509703969969e+17, 9.739356160481179e+16, 1.5899020725440701e+18, 5.8180948698912264e+16, 3.3389025156712492e+16, 1.6661981148709804e+18, 2.3794048158866816e+18, 9.845938462833133e+17, 1.6918643615539324e+16, 1.59833369332671e+16, 1.0168210085995154e+17, 5.959781251048527e+18]
-Total loo_error 2.1453135788718874e+18
-iteration 68current difference of loo_error 1.89515513524779e+17
- getting loo error of with lamda = 0.11964282408439596, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-1000'
+--- Neighbour 0 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-1000'
+--- Neighbour 0 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (35.40657570372512 mAh) it is NOT far from the median.
+--- Median :35.40657570372512, the gap is : 10
+--- So No we don't romove this configuration '0000-1000'
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '0000-2000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2631109447.413105
-error 6.922736923827976e+18
- y tested = 5326600510.288329
-y predicted = 3804963174.1532035
-error 2.3153801827204014e+18
- y tested = 5072151352.996373
-y predicted = 5219276191.380645
-error 2.1645718069598044e+16
- y tested = 7650055845.407672
-y predicted = 4671317975.1471405
-error 8.872879299724247e+18
- y tested = 5789616901.049658
-y predicted = 6166895463.431814
-error 1.4233911363314666e+17
- y tested = 8224428196.629629
-y predicted = 6368184882.628015
-error 3.445639240775697e+18
- y tested = 4059018123.5159216
-y predicted = 5202405783.374254
-error 1.307335340716314e+18
- y tested = 5947637003.818383
-y predicted = 3513666802.7844806
-error 5.924210939521017e+18
- y tested = 997516184.7000968
-y predicted = 1815524926.506638
-error 6.691383016719206e+17
- y tested = 6532788063.289651
-y predicted = 6853176253.032189
-error 1.0264859212650082e+17
- y tested = 1980229389.772511
-y predicted = 3239288186.36559
-error 1.5852290532784125e+18
- y tested = 5035525633.343237
-y predicted = 5279389860.781426
-error 5.9469761424025016e+16
- y tested = 5026691733.102776
-y predicted = 5212639263.54944
-error 3.4576484079213336e+16
- y tested = 1014996574.3865615
-y predicted = 2285477632.139649
-error 1.6141221181094042e+18
- y tested = 7665772326.561901
-y predicted = 6133745431.13094
-error 2.3471064083238277e+18
- y tested = 3029054692.61153
-y predicted = 4031539205.904068
-error 1.0049751993913772e+18
- y tested = 4062233415.93208
-y predicted = 3941045456.682858
-error 1.4686521466991044e+16
- y tested = 5822958761.806049
-y predicted = 5953201102.075595
-error 1.6963067198888088e+16
- y tested = 6611133148.221605
-y predicted = 6295634579.465992
-error 9.953934688684046e+16
- y tested = 5377240292.736961
-y predicted = 2937090938.0066767
-error 5.954328873390625e+18
-error squared vector [6.922736923827976e+18, 2.3153801827204014e+18, 2.1645718069598044e+16, 8.872879299724247e+18, 1.4233911363314666e+17, 3.445639240775697e+18, 1.307335340716314e+18, 5.924210939521017e+18, 6.691383016719206e+17, 1.0264859212650082e+17, 1.5852290532784125e+18, 5.9469761424025016e+16, 3.4576484079213336e+16, 1.6141221181094042e+18, 2.3471064083238277e+18, 1.0049751993913772e+18, 1.4686521466991044e+16, 1.6963067198888088e+16, 9.953934688684046e+16, 5.954328873390625e+18]
-Total loo_error 2.122747524316821e+18
-iteration 69current difference of loo_error 1.6694945896971264e+17
- getting loo error of with lamda = 0.1160172839909294, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2611904036.6345344
-error 6.822042696152457e+18
- y tested = 5326600510.288329
-y predicted = 3808031909.726437
-error 2.306050594612503e+18
- y tested = 5072151352.996373
-y predicted = 5208408989.28945
-error 1.8566143448176324e+16
- y tested = 7650055845.407672
-y predicted = 4690481041.573149
-error 8.759083019492156e+18
- y tested = 5789616901.049658
-y predicted = 6164964924.328503
-error 1.4088613857933624e+17
- y tested = 8224428196.629629
-y predicted = 6386165261.061413
-error 3.3792106202838764e+18
- y tested = 4059018123.5159216
-y predicted = 5201921703.891779
-error 1.306228594035954e+18
- y tested = 5947637003.818383
-y predicted = 3522684967.652598
-error 5.880392377704588e+18
- y tested = 997516184.7000968
-y predicted = 1790727948.5686233
-error 6.29184902339419e+17
- y tested = 6532788063.289651
-y predicted = 6861110562.333202
-error 1.0779566337820283e+17
- y tested = 1980229389.772511
-y predicted = 3237579691.776828
-error 1.5809297819503468e+18
- y tested = 5035525633.343237
-y predicted = 5281954182.52252
-error 6.072702985060637e+16
- y tested = 5026691733.102776
-y predicted = 5215790349.939483
-error 3.5758286889555772e+16
- y tested = 1014996574.3865615
-y predicted = 2265228212.619349
-error 1.56307914923824e+18
- y tested = 7665772326.561901
-y predicted = 6144207359.53598
-error 2.315159948880592e+18
- y tested = 3029054692.61153
-y predicted = 4041839050.187662
-error 1.025732154950899e+18
- y tested = 4062233415.93208
-y predicted = 3950092759.2722006
-error 1.257552687610891e+16
- y tested = 5822958761.806049
-y predicted = 5956886793.172508
-error 1.7936717585695198e+16
- y tested = 6611133148.221605
-y predicted = 6298847979.883345
-error 9.752202636405579e+16
- y tested = 5377240292.736961
-y predicted = 2938301276.867361
-error 5.948423523130974e+18
-error squared vector [6.822042696152457e+18, 2.306050594612503e+18, 1.8566143448176324e+16, 8.759083019492156e+18, 1.4088613857933624e+17, 3.3792106202838764e+18, 1.306228594035954e+18, 5.880392377704588e+18, 6.29184902339419e+17, 1.0779566337820283e+17, 1.5809297819503468e+18, 6.072702985060637e+16, 3.5758286889555772e+16, 1.56307914923824e+18, 2.315159948880592e+18, 1.025732154950899e+18, 1.257552687610891e+16, 1.7936717585695198e+16, 9.752202636405579e+16, 5.948423523130974e+18]
-Total loo_error 2.1003642447871872e+18
-iteration 70current difference of loo_error 1.4456617944007885e+17
- getting loo error of with lamda = 0.11250160874878003, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2592714755.801953
-error 6.72216980452106e+18
- y tested = 5326600510.288329
-y predicted = 3811148381.0107813
-error 2.2965951561318536e+18
- y tested = 5072151352.996373
-y predicted = 5197377773.514084
-error 1.5681656395678512e+16
- y tested = 7650055845.407672
-y predicted = 4709726162.614778
-error 8.645538643512963e+18
- y tested = 5789616901.049658
-y predicted = 6162861247.41514
-error 1.3931134209379614e+17
- y tested = 8224428196.629629
-y predicted = 6404215796.988514
-error 3.313173179807267e+18
- y tested = 4059018123.5159216
-y predicted = 5201365408.948343
-error 1.3049573205348227e+18
- y tested = 5947637003.818383
-y predicted = 3531846598.595685
-error 5.836043281966048e+18
- y tested = 997516184.7000968
-y predicted = 1766015986.266656
-error 5.905919450078406e+17
- y tested = 6532788063.289651
-y predicted = 6868673274.441618
-error 1.1281887507060149e+17
- y tested = 1980229389.772511
-y predicted = 3236018602.88299
-error 1.5770065477646356e+18
- y tested = 5035525633.343237
-y predicted = 5284424513.251305
-error 6.195065241949071e+16
- y tested = 5026691733.102776
-y predicted = 5218872037.603712
-error 3.693326943807268e+16
- y tested = 1014996574.3865615
-y predicted = 2245067035.319351
-error 1.513073338859406e+18
- y tested = 7665772326.561901
-y predicted = 6154629670.675906
-error 2.2835521264381783e+18
- y tested = 3029054692.61153
-y predicted = 4052216518.9117064
-error 1.0468601227979128e+18
- y tested = 4062233415.93208
-y predicted = 3959300606.4285216
-error 1.0595163272295792e+16
- y tested = 5822958761.806049
-y predicted = 5960449322.54609
-error 1.8903654292610844e+16
- y tested = 6611133148.221605
-y predicted = 6301901730.883257
-error 9.562406946908379e+16
- y tested = 5377240292.736961
-y predicted = 2939600850.3137
-error 5.942086051257588e+18
-error squared vector [6.72216980452106e+18, 2.2965951561318536e+18, 1.5681656395678512e+16, 8.645538643512963e+18, 1.3931134209379614e+17, 3.313173179807267e+18, 1.3049573205348227e+18, 5.836043281966048e+18, 5.905919450078406e+17, 1.1281887507060149e+17, 1.5770065477646356e+18, 6.195065241949071e+16, 3.693326943807268e+16, 1.513073338859406e+18, 2.2835521264381783e+18, 1.0468601227979128e+18, 1.0595163272295792e+16, 1.8903654292610844e+16, 9.562406946908379e+16, 5.942086051257588e+18]
-Total loo_error 2.0781733100525601e+18
-iteration 71current difference of loo_error 1.2237524470545178e+17
- getting loo error of with lamda = 0.10909246912002912, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2573549208.542309
-error 6.623155528359818e+18
- y tested = 5326600510.288329
-y predicted = 3814308957.0838165
-error 2.2870257418937172e+18
- y tested = 5072151352.996373
-y predicted = 5186191773.468538
-error 1.3005217501468214e+16
- y tested = 7650055845.407672
-y predicted = 4729046070.3735895
-error 8.532298105844661e+18
- y tested = 5789616901.049658
-y predicted = 6160595065.214059
-error 1.376247982867893e+17
- y tested = 8224428196.629629
-y predicted = 6422333923.761532
-error 3.2475437683039964e+18
- y tested = 4059018123.5159216
-y predicted = 5200739155.664594
-error 1.303526915250629e+18
- y tested = 5947637003.818383
-y predicted = 3541142923.7066917
-error 5.791213757612616e+18
- y tested = 997516184.7000968
-y predicted = 1741397127.9465785
-error 5.5335885772527526e+17
- y tested = 6532788063.289651
-y predicted = 6875867366.333732
-error 1.177034081772122e+17
- y tested = 1980229389.772511
-y predicted = 3234606386.1973453
-error 1.5734616491597885e+18
- y tested = 5035525633.343237
-y predicted = 5286799478.942939
-error 6.3138545482462824e+16
- y tested = 5026691733.102776
-y predicted = 5221884745.613904
-error 3.810031213316954e+16
- y tested = 1014996574.3865615
-y predicted = 2224999729.3402085
-error 1.4641076349977797e+18
- y tested = 7665772326.561901
-y predicted = 6165015658.844925
-error 2.2522705756969623e+18
- y tested = 3029054692.61153
-y predicted = 4062666893.7600336
-error 1.068354182363055e+18
- y tested = 4062233415.93208
-y predicted = 3968665918.5885377
-error 8754876559133758.0
- y tested = 5822958761.806049
-y predicted = 5963897070.853697
-error 1.986360695721019e+16
- y tested = 6611133148.221605
-y predicted = 6304800503.6358185
-error 9.383968913892198e+16
- y tested = 5377240292.736961
-y predicted = 2940985460.01088
-error 5.935337609981187e+18
-error squared vector [6.623155528359818e+18, 2.2870257418937172e+18, 1.3005217501468214e+16, 8.532298105844661e+18, 1.376247982867893e+17, 3.2475437683039964e+18, 1.303526915250629e+18, 5.791213757612616e+18, 5.5335885772527526e+17, 1.177034081772122e+17, 1.5734616491597885e+18, 6.3138545482462824e+16, 3.810031213316954e+16, 1.4641076349977797e+18, 2.2522705756969623e+18, 1.068354182363055e+18, 8754876559133758.0, 1.986360695721019e+16, 9.383968913892198e+16, 5.935337609981187e+18]
-Total loo_error 2.056184239071293e+18
-iteration 72current difference of loo_error 1.0038617372418458e+17
- getting loo error of with lamda = 0.10578663675275551, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2554414969.6725082
-error 6.525035836861265e+18
- y tested = 5326600510.288329
-y predicted = 3817510001.9305377
-error 2.2773541624155773e+18
- y tested = 5072151352.996373
-y predicted = 5174860137.043718
-error 1.0549094320484184e+16
- y tested = 7650055845.407672
-y predicted = 4748433397.865818
-error 8.419412828078778e+18
- y tested = 5789616901.049658
-y predicted = 6158176980.996952
-error 1.3583653253075592e+17
- y tested = 8224428196.629629
-y predicted = 6440516675.5357485
-error 3.182340315091483e+18
- y tested = 4059018123.5159216
-y predicted = 5200045192.45243
-error 1.301942772045839e+18
- y tested = 5947637003.818383
-y predicted = 3550564995.137347
-error 5.745954214802137e+18
- y tested = 997516184.7000968
-y predicted = 1716879339.8283784
-error 5.1748334895611616e+17
- y tested = 6532788063.289651
-y predicted = 6882695915.763527
-error 1.2243550522287978e+17
- y tested = 1980229389.772511
-y predicted = 3233344467.578071
-error 1.570297398223635e+18
- y tested = 5035525633.343237
-y predicted = 5289077695.941836
-error 6.428864844800409e+16
- y tested = 5026691733.102776
-y predicted = 5224828909.817514
-error 3.925834079648765e+16
- y tested = 1014996574.3865615
-y predicted = 2205031792.5641594
-error 1.4161838205030034e+18
- y tested = 7665772326.561901
-y predicted = 6175368402.177511
-error 2.2213038578203901e+18
- y tested = 3029054692.61153
-y predicted = 4073185476.768665
-error 1.0902090944245937e+18
- y tested = 4062233415.93208
-y predicted = 3978185575.749988
-error 7064039439274430.0
- y tested = 5822958761.806049
-y predicted = 5967238522.403388
-error 2.0816649318025364e+16
- y tested = 6611133148.221605
-y predicted = 6307548948.124166
-error 9.216336654880235e+16
- y tested = 5377240292.736961
-y predicted = 2942450854.855531
-error 5.928199606818971e+18
-error squared vector [6.525035836861265e+18, 2.2773541624155773e+18, 1.0549094320484184e+16, 8.419412828078778e+18, 1.3583653253075592e+17, 3.182340315091483e+18, 1.301942772045839e+18, 5.745954214802137e+18, 5.1748334895611616e+17, 1.2243550522287978e+17, 1.570297398223635e+18, 6.428864844800409e+16, 3.925834079648765e+16, 1.4161838205030034e+18, 2.2213038578203901e+18, 1.0902090944245937e+18, 7064039439274430.0, 2.0816649318025364e+16, 9.216336654880235e+16, 5.928199606818971e+18]
-Total loo_error 2.0344064716333253e+18
-iteration 73current difference of loo_error 7.860840628621696e+16
- getting loo error of with lamda = 0.10258098112388414, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2535319575.4479856
-error 6.4278453492272e+18
- y tested = 5326600510.288329
-y predicted = 3820747883.218713
-error 2.267592134452465e+18
- y tested = 5072151352.996373
-y predicted = 5163391917.891174
-error 8324840682322418.0
- y tested = 7650055845.407672
-y predicted = 4767880690.908344
-error 8.306933621213223e+18
- y tested = 5789616901.049658
-y predicted = 6155617556.357625
-error 1.339564796858614e+17
- y tested = 8224428196.629629
-y predicted = 6458760697.056583
-error 3.1175817190485315e+18
- y tested = 4059018123.5159216
-y predicted = 5199285757.632103
-error 1.3002102774129137e+18
- y tested = 5947637003.818383
-y predicted = 3560103709.6501665
-error 5.700315230761736e+18
- y tested = 997516184.7000968
-y predicted = 1692470454.657724
-error 4.8296143733233837e+17
- y tested = 6532788063.289651
-y predicted = 6889162092.65211
-error 1.2700244880403491e+17
- y tested = 1980229389.772511
-y predicted = 3232234231.8368635
-error 1.5675161245525842e+18
- y tested = 5035525633.343237
-y predicted = 5291257776.676465
-error 6.539892913380673e+16
- y tested = 5026691733.102776
-y predicted = 5227704985.191564
-error 4.040632751531065e+16
- y tested = 1014996574.3865615
-y predicted = 2185168584.533629
-error 1.3693025333316288e+18
- y tested = 7665772326.561901
-y predicted = 6185690761.449093
-error 2.19064143938678e+18
- y tested = 3029054692.61153
-y predicted = 4083767598.6225457
-error 1.112419314106202e+18
- y tested = 4062233415.93208
-y predicted = 3987856425.4788322
-error 5531936708882477.0
- y tested = 5822958761.806049
-y predicted = 5970482252.610621
-error 2.176318033916667e+16
- y tested = 6611133148.221605
-y predicted = 6310151691.822214
-error 9.058983709629861e+16
- y tested = 5377240292.736961
-y predicted = 2943992738.668659
-error 5.920693659379375e+18
-error squared vector [6.4278453492272e+18, 2.267592134452465e+18, 8324840682322418.0, 8.306933621213223e+18, 1.339564796858614e+17, 3.1175817190485315e+18, 1.3002102774129137e+18, 5.700315230761736e+18, 4.8296143733233837e+17, 1.2700244880403491e+17, 1.5675161245525842e+18, 6.539892913380673e+16, 4.040632751531065e+16, 1.3693025333316288e+18, 2.19064143938678e+18, 1.112419314106202e+18, 5531936708882477.0, 2.176318033916667e+16, 9.058983709629861e+16, 5.920693659379375e+18]
-Total loo_error 2.012849341008533e+18
-iteration 74current difference of loo_error 5.705127566142464e+16
- getting loo error of with lamda = 0.09947246657467552, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2516270513.8147445
-error 6.331617298274139e+18
- y tested = 5326600510.288329
-y predicted = 3824018980.747147
-error 2.257751252918318e+18
- y tested = 5072151352.996373
-y predicted = 5151796063.058059
-error 6343279840809957.0
- y tested = 7650055845.407672
-y predicted = 4787380420.07052
-error 8.194910590829241e+18
- y tested = 5789616901.049658
-y predicted = 6152927298.989933
-error 1.3199444525152112e+17
- y tested = 8224428196.629629
-y predicted = 6477062254.69821
-error 3.053287735021876e+18
- y tested = 4059018123.5159216
-y predicted = 5198463077.946598
-error 1.2983348041775263e+18
- y tested = 5947637003.818383
-y predicted = 3569749829.438395
-error 5.654347414080845e+18
- y tested = 997516184.7000968
-y predicted = 1668178160.6846244
-error 4.4978748603147104e+17
- y tested = 6532788063.289651
-y predicted = 6895269150.39634
-error 1.313925385100474e+17
- y tested = 1980229389.772511
-y predicted = 3231277022.175024
-error 1.5651201785399334e+18
- y tested = 5035525633.343237
-y predicted = 5293338335.305574
-error 6.646738929312106e+16
- y tested = 5026691733.102776
-y predicted = 5230513448.036103
-error 4.154329147836269e+16
- y tested = 1014996574.3865615
-y predicted = 2165415319.718471
-error 1.323463289611045e+18
- y tested = 7665772326.561901
-y predicted = 6195985379.500296
-error 2.1602736697526746e+18
- y tested = 3029054692.61153
-y predicted = 4094408626.7915864
-error 1.1349790050729243e+18
- y tested = 4062233415.93208
-y predicted = 3997675290.597351
-error 4167751546734542.0
- y tested = 5822958761.806049
-y predicted = 5973636915.209574
-error 2.270390591309603e+16
- y tested = 6611133148.221605
-y predicted = 6312613338.326271
-error 8.91140768999465e+16
- y tested = 5377240292.736961
-y predicted = 2945606777.796978
-error 5.912841550979378e+18
-error squared vector [6.331617298274139e+18, 2.257751252918318e+18, 6343279840809957.0, 8.194910590829241e+18, 1.3199444525152112e+17, 3.053287735021876e+18, 1.2983348041775263e+18, 5.654347414080845e+18, 4.4978748603147104e+17, 1.313925385100474e+17, 1.5651201785399334e+18, 6.646738929312106e+16, 4.154329147836269e+16, 1.323463289611045e+18, 2.1602736697526746e+18, 1.1349790050729243e+18, 4167751546734542.0, 2.270390591309603e+16, 8.91140768999465e+16, 5.912841550979378e+18]
-Total loo_error 1.9915220477011505e+18
-iteration 75current difference of loo_error 3.572398235404211e+16
- getting loo error of with lamda = 0.096458149436049, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2497275214.697398
-error 6.236383497525723e+18
- y tested = 5326600510.288329
-y predicted = 3827319694.550476
-error 2.247842964439562e+18
- y tested = 5072151352.996373
-y predicted = 5140081401.011312
-error 4614491423311830.0
- y tested = 7650055845.407672
-y predicted = 4806924992.658401
-error 8.083393045854799e+18
- y tested = 5789616901.049658
-y predicted = 6150116650.692945
-error 1.299600694928724e+17
- y tested = 8224428196.629629
-y predicted = 6495417248.712679
-error 2.9894788580166707e+18
- y tested = 4059018123.5159216
-y predicted = 5197579366.991436
-error 1.2963217051445097e+18
- y tested = 5947637003.818383
-y predicted = 3579494003.129659
-error 5.608101271710994e+18
- y tested = 997516184.7000968
-y predicted = 1644009991.0158596
-error 4.1795424160464294e+17
- y tested = 6532788063.289651
-y predicted = 6901020417.134672
-error 1.3559506641824493e+17
- y tested = 1980229389.772511
-y predicted = 3230474139.4439516
-error 1.5631119340810033e+18
- y tested = 5035525633.343237
-y predicted = 5295317993.278324
-error 6.74920702806419e+16
- y tested = 5026691733.102776
-y predicted = 5233254798.003441
-error 4.2668299781156456e+16
- y tested = 1014996574.3865615
-y predicted = 2145777061.2031307
-error 1.2786645093651174e+18
- y tested = 7665772326.561901
-y predicted = 6206254681.2633505
-error 2.1301917569378258e+18
- y tested = 3029054692.61153
-y predicted = 4105103973.4856043
-error 1.1578820548696128e+18
- y tested = 4062233415.93208
-y predicted = 4007638976.529751
-error 2980552813654570.0
- y tested = 5822958761.806049
-y predicted = 5976711229.265287
-error 2.3639821249804056e+16
- y tested = 6611133148.221605
-y predicted = 6314938465.9264765
-error 8.77312898199123e+16
- y tested = 5377240292.736961
-y predicted = 2947288608.6030526
-error 5.904665187225219e+18
-error squared vector [6.236383497525723e+18, 2.247842964439562e+18, 4614491423311830.0, 8.083393045854799e+18, 1.299600694928724e+17, 2.9894788580166707e+18, 1.2963217051445097e+18, 5.608101271710994e+18, 4.1795424160464294e+17, 1.3559506641824493e+17, 1.5631119340810033e+18, 6.74920702806419e+16, 4.2668299781156456e+16, 1.2786645093651174e+18, 2.1301917569378258e+18, 1.1578820548696128e+18, 2980552813654570.0, 2.3639821249804056e+16, 8.77312898199123e+16, 5.904665187225219e+18]
-Total loo_error 1.9704336344027635e+18
-iteration 76current difference of loo_error 1.4635569055655168e+16
- getting loo error of with lamda = 0.0935351752410172, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2478341040.354562
-error 6.142174311892675e+18
- y tested = 5326600510.288329
-y predicted = 3830646452.645025
-error 2.2378785425794668e+18
- y tested = 5072151352.996373
-y predicted = 5128256630.088447
-error 3147802117578341.0
- y tested = 7650055845.407672
-y predicted = 4826506764.697905
-error 7.972429411176972e+18
- y tested = 5789616901.049658
-y predicted = 6147195975.625165
-error 1.2786279457427611e+17
- y tested = 8224428196.629629
-y predicted = 6513821226.64144
-error 2.9261762057721723e+18
- y tested = 4059018123.5159216
-y predicted = 5196636823.577826
-error 1.2941763067305362e+18
- y tested = 5947637003.818383
-y predicted = 3589326786.889821
-error 5.561627079269642e+18
- y tested = 997516184.7000968
-y predicted = 1619973313.383934
-error 3.8745287704932704e+17
- y tested = 6532788063.289651
-y predicted = 6906419287.008619
-error 1.3960029133773381e+17
- y tested = 1980229389.772511
-y predicted = 3229826841.2254305
-error 1.5614937906776315e+18
- y tested = 5035525633.343237
-y predicted = 5297195384.791886
-error 6.847105882319796e+16
- y tested = 5026691733.102776
-y predicted = 5235929559.962739
-error 4.378046818908003e+16
- y tested = 1014996574.3865615
-y predicted = 2126258714.8230464
-error 1.2349035447674778e+18
- y tested = 7665772326.561901
-y predicted = 6216500874.36806
-error 2.1003877421440448e+18
- y tested = 3029054692.61153
-y predicted = 4115849103.4053736
-error 1.181122091332738e+18
- y tested = 4062233415.93208
-y predicted = 4017744278.284223
-error 1979283368649941.5
- y tested = 5822958761.806049
-y predicted = 5979713966.0325165
-error 2.457219405208142e+16
- y tested = 6611133148.221605
-y predicted = 6317131626.104839
-error 8.643689500697523e+16
- y tested = 5377240292.736961
-y predicted = 2949033844.826605
-error 5.896186553673431e+18
-error squared vector [6.142174311892675e+18, 2.2378785425794668e+18, 3147802117578341.0, 7.972429411176972e+18, 1.2786279457427611e+17, 2.9261762057721723e+18, 1.2941763067305362e+18, 5.561627079269642e+18, 3.8745287704932704e+17, 1.3960029133773381e+17, 1.5614937906776315e+18, 6.847105882319796e+16, 4.378046818908003e+16, 1.2349035447674778e+18, 2.1003877421440448e+18, 1.181122091332738e+18, 1979283368649941.5, 2.457219405208142e+16, 8.643689500697523e+16, 5.896186553673431e+18]
-Total loo_error 1.9495929622267843e+18
-iteration 77current difference of loo_error -6205103120324096.0
- getting loo error of with lamda = 0.002834400219424764, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1405201914.2767556
-error 1.974592419652858e+18
- y tested = 5326600510.288329
-y predicted = 4023524847.431304
-error 1.6980061831302756e+18
- y tested = 5072151352.996373
-y predicted = 3962255024.07013
-error 1.2318698609639516e+18
- y tested = 7650055845.407672
-y predicted = 6124556575.798789
-error 2.3271480215772355e+18
- y tested = 5789616901.049658
-y predicted = 6355045200.130483
-error 3.197091614014347e+17
- y tested = 8224428196.629629
-y predicted = 7813067139.539448
-error 1.6921791929035146e+17
- y tested = 4059018123.5159216
-y predicted = 5054751284.673304
-error 9.91484528228473e+17
- y tested = 5947637003.818383
-y predicted = 4056539168.193436
-error 3.5762510239053594e+18
- y tested = 997516184.7000968
-y predicted = 222283756.56395707
-error 6.009853176338551e+17
- y tested = 6532788063.289651
-y predicted = 6002181686.984481
-error 2.8154312657570374e+17
- y tested = 1980229389.772511
-y predicted = 3796377186.663487
-error 3.2983928201519457e+18
- y tested = 5035525633.343237
-y predicted = 4932081003.057052
-error 1.0700791535045558e+16
- y tested = 5026691733.102776
-y predicted = 5354935459.159017
-error 1.077439436952846e+17
- y tested = 1014996574.3865615
-y predicted = 969884368.327853
-error 2035111135483380.2
- y tested = 7665772326.561901
-y predicted = 7003340803.132541
-error 4.388155232329432e+17
- y tested = 3029054692.61153
-y predicted = 5177320169.714427
-error 4.615044560112138e+18
- y tested = 4062233415.93208
-y predicted = 5430940085.882415
-error 1.8733579483665354e+18
- y tested = 5822958761.806049
-y predicted = 7022604847.325643
-error 1.4391507305024832e+18
- y tested = 6611133148.221605
-y predicted = 6335907859.28277
-error 7.57489596714653e+16
- y tested = 5377240292.736961
-y predicted = 2923532431.395844
-error 6.0206822688072e+18
-error squared vector [1.974592419652858e+18, 1.6980061831302756e+18, 1.2318698609639516e+18, 2.3271480215772355e+18, 3.197091614014347e+17, 1.6921791929035146e+17, 9.91484528228473e+17, 3.5762510239053594e+18, 6.009853176338551e+17, 2.8154312657570374e+17, 3.2983928201519457e+18, 1.0700791535045558e+16, 1.077439436952846e+17, 2035111135483380.2, 4.388155232329432e+17, 4.615044560112138e+18, 1.8733579483665354e+18, 1.4391507305024832e+18, 7.57489596714653e+16, 6.0206822688072e+18]
-Total loo_error 1.5526240109785014e+18
-iteration 78current difference of loo_error 3.969689512482829e+17
- getting loo error of with lamda = 0.09078666690702955, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2460054487.3559346
-error 6.051868080350061e+18
- y tested = 5326600510.288329
-y predicted = 3833892395.3735657
-error 2.2281775163323866e+18
- y tested = 5072151352.996373
-y predicted = 5116698586.586024
-error 1984456020490940.0
- y tested = 7650055845.407672
-y predicted = 4845514454.384627
-error 7.865452413961474e+18
- y tested = 5789616901.049658
-y predicted = 6144269842.861254
-error 1.2577870913561923e+17
- y tested = 8224428196.629629
-y predicted = 6531701331.32225
-error 2.865324240533345e+18
- y tested = 4059018123.5159216
-y predicted = 5195669188.006918
-error 1.291975642408515e+18
- y tested = 5947637003.818383
-y predicted = 3598932695.322626
-error 5.516411928746533e+18
- y tested = 997516184.7000968
-y predicted = 1596808274.905311
-error 3.5915100938253466e+17
- y tested = 6532788063.289651
-y predicted = 6911319045.662652
-error 1.4328570461626926e+17
- y tested = 1980229389.772511
-y predicted = 3229349079.413886
-error 1.560299999049765e+18
- y tested = 5035525633.343237
-y predicted = 5298916159.152558
-error 6.937456908611081e+16
- y tested = 5026691733.102776
-y predicted = 5238459021.311411
-error 4.4845384355239224e+16
- y tested = 1014996574.3865615
-y predicted = 2107459661.0992327
-error 1.1934755958297774e+18
- y tested = 7665772326.561901
-y predicted = 6226411728.68479
-error 2.0717589307211556e+18
- y tested = 3029054692.61153
-y predicted = 4126307000.447842
-error 1.2039626270521134e+18
- y tested = 4062233415.93208
-y predicted = 4027670863.636617
-error 1194570021176587.5
- y tested = 5822958761.806049
-y predicted = 5982564352.874626
-error 2.547394470034977e+16
- y tested = 6611133148.221605
-y predicted = 6319135657.240756
-error 8.526253473911115e+16
- y tested = 5377240292.736961
-y predicted = 2950781750.8254957
-error 5.887701055615116e+18
-error squared vector [6.051868080350061e+18, 2.2281775163323866e+18, 1984456020490940.0, 7.865452413961474e+18, 1.2577870913561923e+17, 2.865324240533345e+18, 1.291975642408515e+18, 5.516411928746533e+18, 3.5915100938253466e+17, 1.4328570461626926e+17, 1.560299999049765e+18, 6.937456908611081e+16, 4.4845384355239224e+16, 1.1934755958297774e+18, 2.0717589307211556e+18, 1.2039626270521134e+18, 1194570021176587.5, 2.547394470034977e+16, 8.526253473911115e+16, 5.887701055615116e+18]
-Total loo_error 1.9296379456328573e+18
-iteration 79current difference of loo_error 3.77013934654356e+17
- getting loo error of with lamda = 0.08812144670437486, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2441856213.223808
-error 5.962661765652738e+18
- y tested = 5326600510.288329
-y predicted = 3837153157.911486
-error 2.2184534155023875e+18
- y tested = 5072151352.996373
-y predicted = 5105064022.127205
-error 1083243789315603.1
- y tested = 7650055845.407672
-y predicted = 4864524570.97234
-error 7.759184480857327e+18
- y tested = 5789616901.049658
-y predicted = 6141262195.718539
-error 1.2365441326276445e+17
- y tested = 8224428196.629629
-y predicted = 6549601080.418498
-error 2.8050458691960934e+18
- y tested = 4059018123.5159216
-y predicted = 5194651307.079079
-error 1.2896627276097912e+18
- y tested = 5947637003.818383
-y predicted = 3608594882.3297772
-error 5.471118046097919e+18
- y tested = 997516184.7000968
-y predicted = 1573801952.0484245
-error 3.321052856482508e+17
- y tested = 6532788063.289651
-y predicted = 6915889942.83087
-error 1.467670501080145e+17
- y tested = 1980229389.772511
-y predicted = 3229019926.415189
-error 1.5594778044083072e+18
- y tested = 5035525633.343237
-y predicted = 5300536878.9239235
-error 7.023096028422697e+16
- y tested = 5026691733.102776
-y predicted = 5240924633.538538
-error 4.589573562911929e+16
- y tested = 1014996574.3865615
-y predicted = 2088799758.4403908
-error 1.1530532780841418e+18
- y tested = 7665772326.561901
-y predicted = 6236294875.264788
-error 2.0434057837668913e+18
- y tested = 3029054692.61153
-y predicted = 4136793348.9781613
-error 1.22708493080895e+18
- y tested = 4062233415.93208
-y predicted = 4037714837.923258
-error 601160667574688.0
- y tested = 5822958761.806049
-y predicted = 5985361153.109059
-error 2.6374536700935972e+16
- y tested = 6611133148.221605
-y predicted = 6321022296.045869
-error 8.4164306550132e+16
- y tested = 5377240292.736961
-y predicted = 2952579319.8588986
-error 5.878980833397993e+18
-error squared vector [5.962661765652738e+18, 2.2184534155023875e+18, 1083243789315603.1, 7.759184480857327e+18, 1.2365441326276445e+17, 2.8050458691960934e+18, 1.2896627276097912e+18, 5.471118046097919e+18, 3.321052856482508e+17, 1.467670501080145e+17, 1.5594778044083072e+18, 7.023096028422697e+16, 4.589573562911929e+16, 1.1530532780841418e+18, 2.0434057837668913e+18, 1.22708493080895e+18, 601160667574688.0, 2.6374536700935972e+16, 8.4164306550132e+16, 5.878980833397993e+18]
-Total loo_error 1.9099502814011438e+18
-iteration 80current difference of loo_error 3.573262704226424e+17
- getting loo error of with lamda = 0.08553699075028547, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-2000'
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-2000'
+--- Neighbour 0 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (35.44774676664167 mAh) it is NOT far from the median.
+--- Median :35.44774676664167, the gap is : 10
+--- So No we don't romove this configuration '0000-2000'
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '0000-2200'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2423752965.809953
-error 5.874578438868584e+18
- y tested = 5326600510.288329
-y predicted = 3840425470.5199485
-error 2.2087162488305477e+18
- y tested = 5072151352.996373
-y predicted = 5093361000.242782
-error 449849136317082.06
- y tested = 7650055845.407672
-y predicted = 4883529515.600702
-error 7.653667933515222e+18
- y tested = 5789616901.049658
-y predicted = 6138182493.539714
-error 1.214979722679438e+17
- y tested = 8224428196.629629
-y predicted = 6567514962.843595
-error 2.7453614642952945e+18
- y tested = 4059018123.5159216
-y predicted = 5193585303.834637
-error 1.2872426866563597e+18
- y tested = 5947637003.818383
-y predicted = 3618304187.205033
-error 5.425791370551884e+18
- y tested = 997516184.7000968
-y predicted = 1550960778.9723191
-error 3.063009189291447e+17
- y tested = 6532788063.289651
-y predicted = 6920136005.951922
-error 1.5003842868469437e+17
- y tested = 1980229389.772511
-y predicted = 3228839975.983119
-error 1.559028395997198e+18
- y tested = 5035525633.343237
-y predicted = 5302056610.019046
-error 7.103876152776059e+16
- y tested = 5026691733.102776
-y predicted = 5243327058.693609
-error 4.693086429384651e+16
- y tested = 1014996574.3865615
-y predicted = 2070283176.8606687
-error 1.1136298133613443e+18
- y tested = 7665772326.561901
-y predicted = 6246151517.065982
-error 2.015323242753849e+18
- y tested = 3029054692.61153
-y predicted = 4147303809.623456
-error 1.2504810876979525e+18
- y tested = 4062233415.93208
-y predicted = 4047872647.785022
-error 206231661773555.94
- y tested = 5822958761.806049
-y predicted = 5988112458.001117
-error 2.7275743366892624e+16
- y tested = 6611133148.221605
-y predicted = 6322795872.851065
-error 8.313838436810698e+16
- y tested = 5377240292.736961
-y predicted = 2954422351.860946
-error 5.870046774630694e+18
-error squared vector [5.874578438868584e+18, 2.2087162488305477e+18, 449849136317082.06, 7.653667933515222e+18, 1.214979722679438e+17, 2.7453614642952945e+18, 1.2872426866563597e+18, 5.425791370551884e+18, 3.063009189291447e+17, 1.5003842868469437e+17, 1.559028395997198e+18, 7.103876152776059e+16, 4.693086429384651e+16, 1.1136298133613443e+18, 2.015323242753849e+18, 1.2504810876979525e+18, 206231661773555.94, 2.7275743366892624e+16, 8.313838436810698e+16, 5.870046774630694e+18]
-Total loo_error 1.8905372305697705e+18
-iteration 81current difference of loo_error 3.379132195912691e+17
- getting loo error of with lamda = 0.08303085164328969, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2405751368.640619
-error 5.787639647315251e+18
- y tested = 5326600510.288329
-y predicted = 3843706125.8201118
-error 2.1989757554873733e+18
- y tested = 5072151352.996373
-y predicted = 5081597408.374803
-error 89227962212355.23
- y tested = 7650055845.407672
-y predicted = 4902521710.866297
-error 7.548943820470023e+18
- y tested = 5789616901.049658
-y predicted = 6135040046.199782
-error 1.1931714920540402e+17
- y tested = 8224428196.629629
-y predicted = 6585437226.005687
-error 2.686291401786813e+18
- y tested = 4059018123.5159216
-y predicted = 5192473277.18992
-error 1.2847205853901484e+18
- y tested = 5947637003.818383
-y predicted = 3628051478.467724
-error 5.380477009416294e+18
- y tested = 997516184.7000968
-y predicted = 1528290979.022924
-error 2.8172188228843942e+17
- y tested = 6532788063.289651
-y predicted = 6924061303.8781185
-error 1.5309474880060083e+17
- y tested = 1980229389.772511
-y predicted = 3228809756.8662133
-error 1.5589529330918444e+18
- y tested = 5035525633.343237
-y predicted = 5303474464.004782
-error 7.179657585288921e+16
- y tested = 5026691733.102776
-y predicted = 5245666987.511335
-error 4.795016204329349e+16
- y tested = 1014996574.3865615
-y predicted = 2051913909.356935
-error 1.0751975595620618e+18
- y tested = 7665772326.561901
-y predicted = 6255982659.399176
-error 1.987506905638788e+18
- y tested = 3029054692.61153
-y predicted = 4157834125.063723
-error 1.2741430071270956e+18
- y tested = 4062233415.93208
-y predicted = 4058140747.200499
-error 16749937346458.656
- y tested = 5822958761.806049
-y predicted = 5990826313.6803255
-error 2.8179514972262796e+16
- y tested = 6611133148.221605
-y predicted = 6324460675.488322
-error 8.218110662301491e+16
- y tested = 5377240292.736961
-y predicted = 2956306668.0642605
-error 5.860919615070901e+18
-error squared vector [5.787639647315251e+18, 2.1989757554873733e+18, 89227962212355.23, 7.548943820470023e+18, 1.1931714920540402e+17, 2.686291401786813e+18, 1.2847205853901484e+18, 5.380477009416294e+18, 2.8172188228843942e+17, 1.5309474880060083e+17, 1.5589529330918444e+18, 7.179657585288921e+16, 4.795016204329349e+16, 1.0751975595620618e+18, 1.987506905638788e+18, 1.2741430071270956e+18, 16749937346458.656, 2.8179514972262796e+16, 8.218110662301491e+16, 5.860919615070901e+18]
-Total loo_error 1.871405767902103e+18
-iteration 82current difference of loo_error 3.1878175692360166e+17
- getting loo error of with lamda = 0.0806006561455968, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2387857912.630299
-error 5.701865410513152e+18
- y tested = 5326600510.288329
-y predicted = 3846991983.973516
-error 2.189241391143493e+18
- y tested = 5072151352.996373
-y predicted = 5069780950.261564
-error 5618809125189.615
- y tested = 7650055845.407672
-y predicted = 4921493612.121606
-error 7.445051860915044e+18
- y tested = 5789616901.049658
-y predicted = 6131844004.391111
-error 1.1711939026148194e+17
- y tested = 8224428196.629629
-y predicted = 6603361894.748984
-error 2.62785595509299e+18
- y tested = 4059018123.5159216
-y predicted = 5191317300.359099
-error 1.282101425879738e+18
- y tested = 5947637003.818383
-y predicted = 3637827673.166003
-error 5.335219143968796e+18
- y tested = 997516184.7000968
-y predicted = 1505798558.2761486
-error 2.58350971288105e+17
- y tested = 6532788063.289651
-y predicted = 6927669939.842397
-error 1.55931696429818e+17
- y tested = 1980229389.772511
-y predicted = 3228929730.873037
-error 1.5592525418645696e+18
- y tested = 5035525633.343237
-y predicted = 5304789602.449681
-error 7.250308505895622e+16
- y tested = 5026691733.102776
-y predicted = 5247945140.04024
-error 4.895307008143536e+16
- y tested = 1014996574.3865615
-y predicted = 2033695769.4393976
-error 1.0377480500012961e+18
- y tested = 7665772326.561901
-y predicted = 6265789113.918179
-error 1.9599529956842383e+18
- y tested = 3029054692.61153
-y predicted = 4168380125.5164022
-error 1.2980624420638748e+18
- y tested = 4062233415.93208
-y predicted = 4068515601.7388444
-error 39465858510714.625
- y tested = 5822958761.806049
-y predicted = 5993510707.891537
-error 2.9087966313546988e+16
- y tested = 6611133148.221605
-y predicted = 6326020947.153285
-error 8.128896719802229e+16
- y tested = 5377240292.736961
-y predicted = 2958228117.3238873
-error 5.851619904796692e+18
-error squared vector [5.701865410513152e+18, 2.189241391143493e+18, 5618809125189.615, 7.445051860915044e+18, 1.1711939026148194e+17, 2.62785595509299e+18, 1.282101425879738e+18, 5.335219143968796e+18, 2.58350971288105e+17, 1.55931696429818e+17, 1.5592525418645696e+18, 7.250308505895622e+16, 4.895307008143536e+16, 1.0377480500012961e+18, 1.9599529956842383e+18, 1.2980624420638748e+18, 39465858510714.625, 2.9087966313546988e+16, 8.128896719802229e+16, 5.851619904796692e+18]
-Total loo_error 1.8525625676611446e+18
-iteration 83current difference of loo_error 2.999385566826432e+17
- getting loo error of with lamda = 0.07824410293571281, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2370078948.084029
-error 5.617274219756084e+18
- y tested = 5326600510.288329
-y predicted = 3850279977.463169
-error 2.1795223156411643e+18
- y tested = 5072151352.996373
-y predicted = 5057919138.937897
-error 202555917006294.66
- y tested = 7650055845.407672
-y predicted = 4940437718.538964
-error 7.342030393455484e+18
- y tested = 5789616901.049658
-y predicted = 6128603350.315165
-error 1.1491181278563598e+17
- y tested = 8224428196.629629
-y predicted = 6621282790.8663435
-error 2.5700751920199296e+18
- y tested = 4059018123.5159216
-y predicted = 5190119419.326321
-error 1.279390141383964e+18
- y tested = 5947637003.818383
-y predicted = 3647623755.6888623
-error 5.290060941571309e+18
- y tested = 997516184.7000968
-y predicted = 1483489299.702284
-error 2.3616986850492912e+17
- y tested = 6532788063.289651
-y predicted = 6930966044.681838
-error 1.585457048655569e+17
- y tested = 1980229389.772511
-y predicted = 3229200290.8024178
-error 1.559928311619457e+18
- y tested = 5035525633.343237
-y predicted = 5306001241.063601
-error 7.315705437170002e+16
- y tested = 5026691733.102776
-y predicted = 5250162266.1103525
-error 4.9939079122690536e+16
- y tested = 1014996574.3865615
-y predicted = 2015632389.1882734
-error 1.001272033863886e+18
- y tested = 7665772326.561901
-y predicted = 6275571502.996511
-error 1.9326583298418875e+18
- y tested = 3029054692.61153
-y predicted = 4178937733.867657
-error 1.3222310085684406e+18
- y tested = 4062233415.93208
-y predicted = 4078993692.4031415
-error 280906867386424.66
- y tested = 5822958761.806049
-y predicted = 5996173556.935415
-error 3.000336525170821e+16
- y tested = 6611133148.221605
-y predicted = 6327480884.179647
-error 8.045860689612858e+16
- y tested = 5377240292.736961
-y predicted = 2960182582.210519
-error 5.842167976015328e+18
-error squared vector [5.617274219756084e+18, 2.1795223156411643e+18, 202555917006294.66, 7.342030393455484e+18, 1.1491181278563598e+17, 2.5700751920199296e+18, 1.279390141383964e+18, 5.290060941571309e+18, 2.3616986850492912e+17, 1.585457048655569e+17, 1.559928311619457e+18, 7.315705437170002e+16, 4.9939079122690536e+16, 1.001272033863886e+18, 1.9326583298418875e+18, 1.3222310085684406e+18, 280906867386424.66, 3.000336525170821e+16, 8.045860689612858e+16, 5.842167976015328e+18]
-Total loo_error 1.834013990915984e+18
-iteration 84current difference of loo_error 2.813899799374825e+17
- getting loo error of with lamda = 0.07595896042915863, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2352420677.010177
-error 5.533883041232949e+18
- y tested = 5326600510.288329
-y predicted = 3853567115.4766455
-error 2.1698273822304335e+18
- y tested = 5072151352.996373
-y predicted = 5046019290.363517
-error 682884697447528.1
- y tested = 7650055845.407672
-y predicted = 4959346583.912421
-error 7.239916329896317e+18
- y tested = 5789616901.049658
-y predicted = 6125326888.795174
-error 1.1270119587209438e+17
- y tested = 8224428196.629629
-y predicted = 6639193553.098137
-error 2.512968875052417e+18
- y tested = 4059018123.5159216
-y predicted = 5188881651.380898
-error 1.2765915915994913e+18
- y tested = 5947637003.818383
-y predicted = 3657430796.023316
-error 5.245044474223063e+18
- y tested = 997516184.7000968
-y predicted = 1461368757.9642174
-error 2.1515920972374634e+17
- y tested = 6532788063.289651
-y predicted = 6933953770.3437395
-error 1.6093392451620682e+17
- y tested = 1980229389.772511
-y predicted = 3229621758.242588
-error 1.5609812903912689e+18
- y tested = 5035525633.343237
-y predicted = 5307108653.619957
-error 7.375733690262533e+16
- y tested = 5026691733.102776
-y predicted = 5252319145.642543
-error 5.090772928939033e+16
- y tested = 1014996574.3865615
-y predicted = 1997727217.8359742
-error 9.657595175744968e+17
- y tested = 7665772326.561901
-y predicted = 6285330264.461418
-error 1.9056202868162335e+18
- y tested = 3029054692.61153
-y predicted = 4189502970.4369144
-error 1.346640205507901e+18
- y tested = 4062233415.93208
-y predicted = 4089571519.064711
-error 747371882890385.4
- y tested = 5822958761.806049
-y predicted = 5998822692.835609
-error 3.0928122237169868e+16
- y tested = 6611133148.221605
-y predicted = 6328844633.7258415
-error 7.968680541622504e+16
- y tested = 5377240292.736961
-y predicted = 2962165984.8641357
-error 5.832583912547408e+18
-error squared vector [5.533883041232949e+18, 2.1698273822304335e+18, 682884697447528.1, 7.239916329896317e+18, 1.1270119587209438e+17, 2.512968875052417e+18, 1.2765915915994913e+18, 5.245044474223063e+18, 2.1515920972374634e+17, 1.6093392451620682e+17, 1.5609812903912689e+18, 7.375733690262533e+16, 5.090772928939033e+16, 9.657595175744968e+17, 1.9056202868162335e+18, 1.346640205507901e+18, 747371882890385.4, 3.0928122237169868e+16, 7.968680541622504e+16, 5.832583912547408e+18]
-Total loo_error 1.8157660743804887e+18
-iteration 85current difference of loo_error 2.6314206340198733e+17
- getting loo error of with lamda = 0.0737430646652273, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2334889145.7628727
-error 5.451707322612129e+18
- y tested = 5326600510.288329
-y predicted = 3856850487.8964458
-error 2.1601651283209416e+18
- y tested = 5072151352.996373
-y predicted = 5034088517.687074
-error 1448779431782854.5
- y tested = 7650055845.407672
-y predicted = 4978212827.175045
-error 7.138745114078433e+18
- y tested = 5789616901.049658
-y predicted = 6122023238.82426
-error 1.1049397339272275e+17
- y tested = 8224428196.629629
-y predicted = 6657087657.532109
-error 2.456556365498504e+18
- y tested = 4059018123.5159216
-y predicted = 5187605983.727135
-error 1.2737105582161247e+18
- y tested = 5947637003.818383
-y predicted = 3667239967.3988543
-error 5.200210643710971e+18
- y tested = 997516184.7000968
-y predicted = 1439442254.857411
-error 1.9529865148468726e+17
- y tested = 6532788063.289651
-y predicted = 6936637283.698798
-error 1.63094192825076e+17
- y tested = 1980229389.772511
-y predicted = 3230194381.245539
-error 1.5624124799081674e+18
- y tested = 5035525633.343237
-y predicted = 5308111175.653437
-error 7.43028778765457e+16
- y tested = 5026691733.102776
-y predicted = 5254416588.804326
-error 5.185860990429199e+16
- y tested = 1014996574.3865615
-y predicted = 1979983520.8695097
-error 9.311998068824844e+17
- y tested = 7665772326.561901
-y predicted = 6295065656.657139
-error 1.878836774921403e+18
- y tested = 3029054692.61153
-y predicted = 4200071957.3617744
-error 1.3712814343431444e+18
- y tested = 4062233415.93208
-y predicted = 4100245603.4927516
-error 1444926403147692.5
- y tested = 5822958761.806049
-y predicted = 6001465850.769902
-error 3.186478081034889e+16
- y tested = 6611133148.221605
-y predicted = 6330116291.377545
-error 7.897047383051488e+16
- y tested = 5377240292.736961
-y predicted = 2964174292.6004963
-error 5.822887521014599e+18
-error squared vector [5.451707322612129e+18, 2.1601651283209416e+18, 1448779431782854.5, 7.138745114078433e+18, 1.1049397339272275e+17, 2.456556365498504e+18, 1.2737105582161247e+18, 5.200210643710971e+18, 1.9529865148468726e+17, 1.63094192825076e+17, 1.5624124799081674e+18, 7.43028778765457e+16, 5.185860990429199e+16, 9.311998068824844e+17, 1.878836774921403e+18, 1.3712814343431444e+18, 1444926403147692.5, 3.186478081034889e+16, 7.897047383051488e+16, 5.822887521014599e+18]
-Total loo_error 1.797824520773301e+18
-iteration 86current difference of loo_error 2.452005097947996e+17
- getting loo error of with lamda = 0.07159431725777873, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2317490238.032196
-error 5.370761002988276e+18
- y tested = 5326600510.288329
-y predicted = 3860127268.9016337
-error 2.150543767703201e+18
- y tested = 5072151352.996373
-y predicted = 5022133726.152104
-error 2501762995132519.0
- y tested = 7650055845.407672
-y predicted = 4997029142.607499
-error 7.038550685770756e+18
- y tested = 5789616901.049658
-y predicted = 6118700825.560241
-error 1.0829622937128704e+17
- y tested = 8224428196.629629
-y predicted = 6674958438.315824
-error 2.400856531929043e+18
- y tested = 4059018123.5159216
-y predicted = 5186294372.180267
-error 1.27075174080276e+18
- y tested = 5947637003.818383
-y predicted = 3677042563.264417
-error 5.155599113474578e+18
- y tested = 997516184.7000968
-y predicted = 1417714875.3975334
-error 1.7656693966383997e+17
- y tested = 6532788063.289651
-y predicted = 6939020760.682637
-error 1.6502500443118157e+17
- y tested = 1980229389.772511
-y predicted = 3230918331.8832455
-error 1.5642228299180682e+18
- y tested = 5035525633.343237
-y predicted = 5309008207.925203
-error 7.479271859998082e+16
- y tested = 5026691733.102776
-y predicted = 5256455436.015351
-error 5.279135917609836e+16
- y tested = 1014996574.3865615
-y predicted = 1962404379.645702
-error 8.975815494659412e+17
- y tested = 7665772326.561901
-y predicted = 6304777763.807953
-error 1.8523061998458107e+18
- y tested = 3029054692.61153
-y predicted = 4210640922.5933914
-error 1.3961460188827487e+18
- y tested = 4062233415.93208
-y predicted = 4111012491.986011
-error 2379398260675207.5
- y tested = 5822958761.806049
-y predicted = 6004110656.797584
-error 3.2816009059023844e+16
- y tested = 6611133148.221605
-y predicted = 6331299898.669485
-error 7.830664755489918e+16
- y tested = 5377240292.736961
-y predicted = 2966203523.264974
-error 5.813098303745917e+18
-error squared vector [5.370761002988276e+18, 2.150543767703201e+18, 2501762995132519.0, 7.038550685770756e+18, 1.0829622937128704e+17, 2.400856531929043e+18, 1.27075174080276e+18, 5.155599113474578e+18, 1.7656693966383997e+17, 1.6502500443118157e+17, 1.5642228299180682e+18, 7.479271859998082e+16, 5.279135917609836e+16, 8.975815494659412e+17, 1.8523061998458107e+18, 1.3961460188827487e+18, 2379398260675207.5, 3.2816009059023844e+16, 7.830664755489918e+16, 5.813098303745917e+18]
-Total loo_error 1.780194690681961e+18
-iteration 87current difference of loo_error 2.275706797034596e+17
- getting loo error of with lamda = 0.06951068340813164, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2300229668.198685
-error 5.291056526078061e+18
- y tested = 5326600510.288329
-y predicted = 3863394720.1886697
-error 2.1409711841811686e+18
- y tested = 5072151352.996373
-y predicted = 5010161608.647049
-error 3842728404494575.0
- y tested = 7650055845.407672
-y predicted = 5015788309.718508
-error 6.939365449585862e+18
- y tested = 5789616901.049658
-y predicted = 6115367872.779161
-error 1.0611369558271587e+17
- y tested = 8224428196.629629
-y predicted = 6692799108.594314
-error 2.345887663315892e+18
- y tested = 4059018123.5159216
-y predicted = 5184948739.957282
-error 1.267719753040022e+18
- y tested = 5947637003.818383
-y predicted = 3686830013.5493116
-error 5.111248247249498e+18
- y tested = 997516184.7000968
-y predicted = 1396191464.5564194
-error 1.589419787685171e+17
- y tested = 6532788063.289651
-y predicted = 6941108380.785849
-error 1.6672548168019568e+17
- y tested = 1980229389.772511
-y predicted = 3231793703.6940484
-error 1.5664132318818885e+18
- y tested = 5035525633.343237
-y predicted = 5309799219.651773
-error 7.522600014654624e+16
- y tested = 5026691733.102776
-y predicted = 5258436557.807191
-error 5.3705663777280184e+16
- y tested = 1014996574.3865615
-y predicted = 1944992691.5087693
-error 8.648927778623832e+17
- y tested = 7665772326.561901
-y predicted = 6314466501.654324
-error 1.8260274324291484e+18
- y tested = 3029054692.61153
-y predicted = 4221206203.492248
-error 1.4212252248951793e+18
- y tested = 4062233415.93208
-y predicted = 4121868757.6141057
-error 3556373977531977.0
- y tested = 5822958761.806049
-y predicted = 6006764615.916678
-error 3.378459200533786e+16
- y tested = 6611133148.221605
-y predicted = 6332399440.533119
-error 7.769247980177042e+16
- y tested = 5377240292.736961
-y predicted = 2968249750.3287053
-error 5.803235433412424e+18
-error squared vector [5.291056526078061e+18, 2.1409711841811686e+18, 3842728404494575.0, 6.939365449585862e+18, 1.0611369558271587e+17, 2.345887663315892e+18, 1.267719753040022e+18, 5.111248247249498e+18, 1.589419787685171e+17, 1.6672548168019568e+17, 1.5664132318818885e+18, 7.522600014654624e+16, 5.3705663777280184e+16, 8.648927778623832e+17, 1.8260274324291484e+18, 1.4212252248951793e+18, 3556373977531977.0, 3.378459200533786e+16, 7.769247980177042e+16, 5.803235433412424e+18]
-Total loo_error 1.7628815959037957e+18
-iteration 88current difference of loo_error 2.1025758492529434e+17
- getting loo error of with lamda = 0.06749018997817083, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2283112975.0665064
-error 5.212604856536515e+18
- y tested = 5326600510.288329
-y predicted = 3866650193.81877
-error 2.131454926559566e+18
- y tested = 5072151352.996373
-y predicted = 4998178641.899655
-error 5471961986998482.0
- y tested = 7650055845.407672
-y predicted = 5034483202.776854
-error 6.841220248878763e+18
- y tested = 5789616901.049658
-y predicted = 6112032395.79726
-error 1.0395175125334126e+17
- y tested = 8224428196.629629
-y predicted = 6710602781.583639
-error 2.291667387239164e+18
- y tested = 4059018123.5159216
-y predicted = 5183570976.570984
-error 1.2646191193142804e+18
- y tested = 5947637003.818383
-y predicted = 3696593900.1634507
-error 5.067195054512431e+18
- y tested = 997516184.7000968
-y predicted = 1374876624.644843
-error 1.4240090163529245e+17
- y tested = 6532788063.289651
-y predicted = 6942904321.909581
-error 1.6819534558440954e+17
- y tested = 1980229389.772511
-y predicted = 3232820509.0282755
-error 1.5689845120384087e+18
- y tested = 5035525633.343237
-y predicted = 5310483751.491063
-error 7.560196673539395e+16
- y tested = 5026691733.102776
-y predicted = 5260360854.542502
-error 5.460125831441381e+16
- y tested = 1014996574.3865615
-y predicted = 1927751170.39682
-error 8.331209525378502e+17
- y tested = 7665772326.561901
-y predicted = 6324131623.333095
-error 1.7999997765602865e+18
- y tested = 3029054692.61153
-y predicted = 4231764250.0178823
-error 1.4465102794765844e+18
- y tested = 4062233415.93208
-y predicted = 4132811002.079425
-error 4981195666385914.0
- y tested = 5822958761.806049
-y predicted = 6009435100.478269
-error 3.4773424884596224e+16
- y tested = 6611133148.221605
-y predicted = 6333418842.676205
-error 7.712523550456413e+16
- y tested = 5377240292.736961
-y predicted = 2970309107.725285
-error 5.793317729381712e+18
-error squared vector [5.212604856536515e+18, 2.131454926559566e+18, 5471961986998482.0, 6.841220248878763e+18, 1.0395175125334126e+17, 2.291667387239164e+18, 1.2646191193142804e+18, 5.067195054512431e+18, 1.4240090163529245e+17, 1.6819534558440954e+17, 1.5689845120384087e+18, 7.560196673539395e+16, 5.460125831441381e+16, 8.331209525378502e+17, 1.7999997765602865e+18, 1.4465102794765844e+18, 4981195666385914.0, 3.4773424884596224e+16, 7.712523550456413e+16, 5.793317729381712e+18]
-Total loo_error 1.7458898942300477e+18
-iteration 89current difference of loo_error 1.9326588325154637e+17
- getting loo error of with lamda = 0.06553092362184519, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2266145515.9895425
-error 5.135415499261818e+18
- y tested = 5326600510.288329
-y predicted = 3869891134.701128
-error 2.1220022049236534e+18
- y tested = 5072151352.996373
-y predicted = 4986191083.311844
-error 7389167964237008.0
- y tested = 7650055845.407672
-y predicted = 5053106799.978029
-error 6.744144344557933e+18
- y tested = 5789616901.049658
-y predicted = 6108702194.869161
-error 1.0181542473187845e+17
- y tested = 8224428196.629629
-y predicted = 6728362491.69224
-error 2.238212593489808e+18
- y tested = 4059018123.5159216
-y predicted = 5182162936.833269
-error 1.2614542716816594e+18
- y tested = 5947637003.818383
-y predicted = 3706325971.6987414
-error 5.023475142701214e+18
- y tested = 997516184.7000968
-y predicted = 1353774713.3365405
-error 1.2692013922620371e+17
- y tested = 6532788063.289651
-y predicted = 6944412755.601403
-error 1.6943488732074477e+17
- y tested = 1980229389.772511
-y predicted = 3233998676.3042865
-error 1.5719374238503972e+18
- y tested = 5035525633.343237
-y predicted = 5311061418.283201
-error 7.591996878248226e+16
- y tested = 5026691733.102776
-y predicted = 5262229255.99766
-error 5.5477924691458056e+16
- y tested = 1014996574.3865615
-y predicted = 1910682347.922005
-error 8.022530049137856e+17
- y tested = 7665772326.561901
-y predicted = 6333772725.476499
-error 1.7742229372916713e+18
- y tested = 3029054692.61153
-y predicted = 4242311627.5066853
-error 1.4719923900711875e+18
- y tested = 4062233415.93208
-y predicted = 4143835857.21183
-error 6658958422815103.0
- y tested = 5822958761.806049
-y predicted = 6012129338.98696
-error 3.5785507270959028e+16
- y tested = 6611133148.221605
-y predicted = 6334361968.904503
-error 7.660228570057966e+16
- y tested = 5377240292.736961
-y predicted = 2972377794.424946
-error 5.783363635787509e+18
-error squared vector [5.135415499261818e+18, 2.1220022049236534e+18, 7389167964237008.0, 6.744144344557933e+18, 1.0181542473187845e+17, 2.238212593489808e+18, 1.2614542716816594e+18, 5.023475142701214e+18, 1.2692013922620371e+17, 1.6943488732074477e+17, 1.5719374238503972e+18, 7.591996878248226e+16, 5.5477924691458056e+16, 8.022530049137856e+17, 1.7742229372916713e+18, 1.4719923900711875e+18, 6658958422815103.0, 3.5785507270959028e+16, 7.660228570057966e+16, 5.783363635787509e+18]
-Total loo_error 1.7292238856320996e+18
-iteration 90current difference of loo_error 1.765998746535982e+17
- getting loo error of with lamda = 0.063631028973287, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2249332461.400408
-error 5.059496521534727e+18
- y tested = 5326600510.288329
-y predicted = 3873115082.722297
-error 2.1126198881468106e+18
- y tested = 5072151352.996373
-y predicted = 4974204968.429514
-error 9593494249719082.0
- y tested = 7650055845.407672
-y predicted = 5071652192.229098
-error 6.648165398724614e+18
- y tested = 5789616901.049658
-y predicted = 6105384849.070185
-error 9.970939699709418e+16
- y tested = 8224428196.629629
-y predicted = 6746071215.602459
-error 2.1855393633517688e+18
- y tested = 4059018123.5159216
-y predicted = 5180726439.974058
-error 1.258229547211347e+18
- y tested = 5947637003.818383
-y predicted = 3716018157.297551
-error 4.980122676146969e+18
- y tested = 997516184.7000968
-y predicted = 1332889842.3244689
-error 1.1247549022834949e+17
- y tested = 6532788063.289651
-y predicted = 6945637842.683899
-error 1.7044494034587923e+17
- y tested = 1980229389.772511
-y predicted = 3235328047.185309
-error 1.5752726398394079e+18
- y tested = 5035525633.343237
-y predicted = 5311531911.543315
-error 7.617946560585886e+16
- y tested = 5026691733.102776
-y predicted = 5264042720.815069
-error 5.633549136800136e+16
- y tested = 1014996574.3865615
-y predicted = 1893788574.906138
-error 7.722753801771992e+17
- y tested = 7665772326.561901
-y predicted = 6343389254.503325
-error 1.748696989267076e+18
- y tested = 3029054692.61153
-y predicted = 4252845019.0336385
-error 1.4976627630443313e+18
- y tested = 4062233415.93208
-y predicted = 4154939986.110773
-error 8594508154296985.0
- y tested = 5822958761.806049
-y predicted = 6014854405.310097
-error 3.682393799583245e+16
- y tested = 6611133148.221605
-y predicted = 6335232618.393995
-error 7.612110235915592e+16
- y tested = 5377240292.736961
-y predicted = 2974452078.7475877
-error 5.773391201286244e+18
-error squared vector [5.059496521534727e+18, 2.1126198881468106e+18, 9593494249719082.0, 6.648165398724614e+18, 9.970939699709418e+16, 2.1855393633517688e+18, 1.258229547211347e+18, 4.980122676146969e+18, 1.1247549022834949e+17, 1.7044494034587923e+17, 1.5752726398394079e+18, 7.617946560585886e+16, 5.633549136800136e+16, 7.722753801771992e+17, 1.748696989267076e+18, 1.4976627630443313e+18, 8594508154296985.0, 3.682393799583245e+16, 7.612110235915592e+16, 5.773391201286244e+18]
-Total loo_error 1.7128875098017341e+18
-iteration 91current difference of loo_error 1.6026349882323277e+17
- getting loo error of with lamda = 0.06178870688983663, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2232678789.7539897
-error 4.984854577845226e+18
- y tested = 5326600510.288329
-y predicted = 3876319674.531996
-error 2.1033145025620887e+18
- y tested = 5072151352.996373
-y predicted = 4962226109.038463
-error 1.2083559259206148e+16
- y tested = 7650055845.407672
-y predicted = 5090112591.53785
-error 6.553309463033609e+18
- y tested = 5789616901.049658
-y predicted = 6102087710.667434
-error 9.763800686318837e+16
- y tested = 8224428196.629629
-y predicted = 6763721893.225356
-error 2.133662904804976e+18
- y tested = 4059018123.5159216
-y predicted = 5179263268.878375
-error 1.2549491857081444e+18
- y tested = 5947637003.818383
-y predicted = 3725662579.6608124
-error 4.937170341610369e+18
- y tested = 997516184.7000968
-y predicted = 1312225876.5986161
-error 9.904219017486093e+16
- y tested = 6532788063.289651
-y predicted = 6946583729.285859
-error 1.7122685319724547e+17
- y tested = 1980229389.772511
-y predicted = 3236808373.692051
-error 1.5789907428282634e+18
- y tested = 5035525633.343237
-y predicted = 5311895001.704531
-error 7.63800277684205e+16
- y tested = 5026691733.102776
-y predicted = 5265802235.829615
-error 5.717383251428171e+16
- y tested = 1014996574.3865615
-y predicted = 1877072023.3513324
-error 7.431740797078113e+17
- y tested = 7665772326.561901
-y predicted = 6352980513.077072
-error 1.723422345552786e+18
- y tested = 3029054692.61153
-y predicted = 4263361227.3572574
-error 1.523512621716006e+18
- y tested = 4062233415.93208
-y predicted = 4166120083.949553
-error 1.0792439791772694e+16
- y tested = 5822958761.806049
-y predicted = 6017617208.319382
-error 3.789191079898388e+16
- y tested = 6611133148.221605
-y predicted = 6336034522.926148
-error 7.567925363945019e+16
- y tested = 5377240292.736961
-y predicted = 2976528302.415535
-error 5.763418060473064e+18
-error squared vector [4.984854577845226e+18, 2.1033145025620887e+18, 1.2083559259206148e+16, 6.553309463033609e+18, 9.763800686318837e+16, 2.133662904804976e+18, 1.2549491857081444e+18, 4.937170341610369e+18, 9.904219017486093e+16, 1.7122685319724547e+17, 1.5789907428282634e+18, 7.63800277684205e+16, 5.717383251428171e+16, 7.431740797078113e+17, 1.723422345552786e+18, 1.523512621716006e+18, 1.0792439791772694e+16, 3.789191079898388e+16, 7.567925363945019e+16, 5.763418060473064e+18]
-Total loo_error 1.696884344992488e+18
-iteration 92current difference of loo_error 1.4426033401398656e+17
- getting loo error of with lamda = 0.060002212748309, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2216189282.892696
-error 4.911494937239076e+18
- y tested = 5326600510.288329
-y predicted = 3879502644.997696
-error 2.0940922317287076e+18
- y tested = 5072151352.996373
-y predicted = 4950260091.875828
-error 1.485747953755698e+16
- y tested = 7650055845.407672
-y predicted = 5108481338.993871
-error 6.459600971652557e+18
- y tested = 5789616901.049658
-y predicted = 6098817899.984421
-error 9.560525774225528e+16
- y tested = 8224428196.629629
-y predicted = 6781307448.444417
-error 2.0825974938426465e+18
- y tested = 4059018123.5159216
-y predicted = 5177775169.444251
-error 1.2516173278142822e+18
- y tested = 5947637003.818383
-y predicted = 3735251567.1725545
-error 4.894649320282554e+18
- y tested = 997516184.7000968
-y predicted = 1291786434.3300426
-error 8.65949798172706e+16
- y tested = 6532788063.289651
-y predicted = 6947254543.283892
-error 1.717824630388164e+17
- y tested = 1980229389.772511
-y predicted = 3238439315.264001
-error 1.5830922166053005e+18
- y tested = 5035525633.343237
-y predicted = 5312150540.11064
-error 7.65213390440742e+16
- y tested = 5026691733.102776
-y predicted = 5267508815.274804
-error 5.7992867065849544e+16
- y tested = 1014996574.3865615
-y predicted = 1860534688.8249354
-error 7.149347029680008e+17
- y tested = 7665772326.561901
-y predicted = 6362545666.707573
-error 1.6983997269550687e+18
- y tested = 3029054692.61153
-y predicted = 4273857176.4467325
-error 1.5495332237622902e+18
- y tested = 4062233415.93208
-y predicted = 4177372878.460639
-error 1.325709583136549e+16
- y tested = 5822958761.806049
-y predicted = 6020424481.983432
-error 3.899271064517231e+16
- y tested = 6611133148.221605
-y predicted = 6336771344.097658
-error 7.527439956214714e+16
- y tested = 5377240292.736961
-y predicted = 2978602884.3480577
-error 5.753461416922636e+18
-error squared vector [4.911494937239076e+18, 2.0940922317287076e+18, 1.485747953755698e+16, 6.459600971652557e+18, 9.560525774225528e+16, 2.0825974938426465e+18, 1.2516173278142822e+18, 4.894649320282554e+18, 8.65949798172706e+16, 1.717824630388164e+17, 1.5830922166053005e+18, 7.65213390440742e+16, 5.7992867065849544e+16, 7.149347029680008e+17, 1.6983997269550687e+18, 1.5495332237622902e+18, 1.325709583136549e+16, 3.899271064517231e+16, 7.527439956214714e+16, 5.753461416922636e+18]
-Total loo_error 1.6812176081028813e+18
-iteration 93current difference of loo_error 1.285935971243799e+17
- getting loo error of with lamda = 0.058269854792888265, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2199868521.8413496
-error 4.839421513021799e+18
- y tested = 5326600510.288329
-y predicted = 3882661828.3396482
-error 2.0849589172276938e+18
- y tested = 5072151352.996373
-y predicted = 4938312277.942775
-error 1.7912898011202746e+16
- y tested = 7650055845.407672
-y predicted = 5126751912.330222
-error 6.367062738684127e+18
- y tested = 5789616901.049658
-y predicted = 6095582300.761343
-error 9.361482582073128e+16
- y tested = 8224428196.629629
-y predicted = 6798820809.566278
-error 2.032356422049594e+18
- y tested = 4059018123.5159216
-y predicted = 5176263850.062836
-error 1.248238013487342e+18
- y tested = 5947637003.818383
-y predicted = 3744777665.124035
-error 4.852589266072902e+18
- y tested = 997516184.7000968
-y predicted = 1271574887.344426
-error 7.510817249509278e+16
- y tested = 6532788063.289651
-y predicted = 6947654391.158814
-error 1.721140699996443e+17
- y tested = 1980229389.772511
-y predicted = 3240220435.785457
-error 1.5875774360327982e+18
- y tested = 5035525633.343237
-y predicted = 5312298460.758418
-error 7.660319799539365e+16
- y tested = 5026691733.102776
-y predicted = 5269163499.874703
-error 5.879255768150017e+16
- y tested = 1014996574.3865615
-y predicted = 1844178393.2338264
-error 6.875424887068584e+17
- y tested = 7665772326.561901
-y predicted = 6372083750.472283
-error 1.6736301319047826e+18
- y tested = 3029054692.61153
-y predicted = 4284329912.594372
-error 1.5757158779029724e+18
- y tested = 4062233415.93208
-y predicted = 4188695130.1195593
-error 1.5992565155235752e+16
- y tested = 5822958761.806049
-y predicted = 6023282775.92978
-error 4.012971063464464e+16
- y tested = 6611133148.221605
-y predicted = 6337446670.518704
-error 7.490428807742046e+16
- y tested = 5377240292.736961
-y predicted = 2980672324.2020698
-error 5.743538027807457e+18
-error squared vector [4.839421513021799e+18, 2.0849589172276938e+18, 1.7912898011202746e+16, 6.367062738684127e+18, 9.361482582073128e+16, 2.032356422049594e+18, 1.248238013487342e+18, 4.852589266072902e+18, 7.510817249509278e+16, 1.721140699996443e+17, 1.5875774360327982e+18, 7.660319799539365e+16, 5.879255768150017e+16, 6.875424887068584e+17, 1.6736301319047826e+18, 1.5757158779029724e+18, 1.5992565155235752e+16, 4.012971063464464e+16, 7.490428807742046e+16, 5.743538027807457e+18]
-Total loo_error 1.6658901559384594e+18
-iteration 94current difference of loo_error 1.1326614495995802e+17
- getting loo error of with lamda = 0.05658999253308634, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 9 in the X datas point
+--------------
+ --- Configuration: 0010-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6532788063.289651
+ --- Energy: 42.64544340651106
+ --- Workload: 278594000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-2200'
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 9 in the X datas point
+--------------
+ --- Configuration: 0010-3300
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6532788063.289651
+ --- Energy: 42.64544340651106
+ --- Workload: 278594000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.05795824330537 mAh) it is NOT far from the median.
+--- Median :42.05795824330537, the gap is : 10
+--- So No we don't romove this configuration '0000-2200'
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0]
+--- Computing the list of the 10 first neighbours of '1001-2220'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2183720883.0362926
-error 4.768636894644851e+18
- y tested = 5326600510.288329
-y predicted = 3885795158.9595633
-error 2.0759200604176084e+18
- y tested = 5072151352.996373
-y predicted = 4926387802.403882
-error 2.124701268132973e+16
- y tested = 7650055845.407672
-y predicted = 5144917933.056867
-error 6.275715959897351e+18
- y tested = 5789616901.049658
-y predicted = 6092387556.012417
-error 9.167006950657806e+16
- y tested = 8224428196.629629
-y predicted = 6816254929.3976145
-error 1.982951950546887e+18
- y tested = 4059018123.5159216
-y predicted = 5174730981.220259
-error 1.2448151808467784e+18
- y tested = 5947637003.818383
-y predicted = 3754233646.024724
-error 4.811018289980499e+18
- y tested = 997516184.7000968
-y predicted = 1251594362.1661677
-error 6.4555720264480216e+16
- y tested = 6532788063.289651
-y predicted = 6947787355.269831
-error 1.7222441234405053e+17
- y tested = 1980229389.772511
-y predicted = 3242151200.5935316
-error 1.5924466566258038e+18
- y tested = 5035525633.343237
-y predicted = 5312338781.7911825
-error 7.662551915366437e+16
- y tested = 5026691733.102776
-y predicted = 5270767355.826728
-error 5.9572909608085096e+16
- y tested = 1014996574.3865615
-y predicted = 1828004787.9640253
-error 6.60982355344419e+17
- y tested = 7665772326.561901
-y predicted = 6381593675.835842
-error 1.6491148069806013e+18
- y tested = 3029054692.61153
-y predicted = 4294776605.115877
-error 1.6020519597936627e+18
- y tested = 4062233415.93208
-y predicted = 4200083632.0476847
-error 1.9002682083118972e+16
- y tested = 5822958761.806049
-y predicted = 6026198446.489293
-error 4.1306369430144344e+16
- y tested = 6611133148.221605
-y predicted = 6338064015.014355
-error 7.456675151055917e+16
- y tested = 5377240292.736961
-y predicted = 2982733205.6637955
-error 5.733664190043618e+18
-error squared vector [4.768636894644851e+18, 2.0759200604176084e+18, 2.124701268132973e+16, 6.275715959897351e+18, 9.167006950657806e+16, 1.982951950546887e+18, 1.2448151808467784e+18, 4.811018289980499e+18, 6.4555720264480216e+16, 1.7222441234405053e+17, 1.5924466566258038e+18, 7.662551915366437e+16, 5.9572909608085096e+16, 6.60982355344419e+17, 1.6491148069806013e+18, 1.6020519597936627e+18, 1.9002682083118972e+16, 4.1306369430144344e+16, 7.456675151055917e+16, 5.733664190043618e+18]
-Total loo_error 1.6509044875852045e+18
-iteration 95current difference of loo_error 9.82804766067031e+16
- getting loo error of with lamda = 0.05496103519024811, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2167750534.9930577
-error 4.699142381601396e+18
- y tested = 5326600510.288329
-y predicted = 3888900671.975722
-error 2.066980825084097e+18
- y tested = 5072151352.996373
-y predicted = 4914491575.054639
-error 2.4856605580636972e+16
- y tested = 7650055845.407672
-y predicted = 5162973173.158501
-error 6.185580218602078e+18
- y tested = 5789616901.049658
-y predicted = 6089240064.380039
-error 8.97740400041044e+16
- y tested = 8224428196.629629
-y predicted = 6833602804.87285
-error 1.9343952703553969e+18
- y tested = 4059018123.5159216
-y predicted = 5173178195.218342
-error 1.2413526653759421e+18
- y tested = 5947637003.818383
-y predicted = 3763612518.9942117
-error 4.769962950311487e+18
- y tested = 997516184.7000968
-y predicted = 1231847741.6101637
-error 5.4911278563895896e+16
- y tested = 6532788063.289651
-y predicted = 6947657491.54723
-error 1.7211664250277037e+17
- y tested = 1980229389.772511
-y predicted = 3244230973.4849916
-error 1.597700003627659e+18
- y tested = 5035525633.343237
-y predicted = 5312271606.745303
-error 7.658833379425715e+16
- y tested = 5026691733.102776
-y predicted = 5272321473.681334
-error 6.033396945668969e+16
- y tested = 1014996574.3865615
-y predicted = 1812015357.3594308
-error 6.352389404115537e+17
- y tested = 7665772326.561901
-y predicted = 6391074237.545731
-error 1.6248552181414769e+18
- y tested = 3029054692.61153
-y predicted = 4305194546.645744
-error 1.6285329270544663e+18
- y tested = 4062233415.93208
-y predicted = 4211535209.6549807
-error 2.229102560887564e+16
- y tested = 5822958761.806049
-y predicted = 6029177648.238191
-error 4.252622912131239e+16
- y tested = 6611133148.221605
-y predicted = 6338626811.843042
-error 7.42597033664665e+16
- y tested = 5377240292.736961
-y predicted = 2984782199.496358
-error 5.723855727912464e+18
-error squared vector [4.699142381601396e+18, 2.066980825084097e+18, 2.4856605580636972e+16, 6.185580218602078e+18, 8.97740400041044e+16, 1.9343952703553969e+18, 1.2413526653759421e+18, 4.769962950311487e+18, 5.4911278563895896e+16, 1.7211664250277037e+17, 1.597700003627659e+18, 7.658833379425715e+16, 6.033396945668969e+16, 6.352389404115537e+17, 1.6248552181414769e+18, 1.6285329270544663e+18, 2.229102560887564e+16, 4.252622912131239e+16, 7.42597033664665e+16, 5.723855727912464e+18]
-Total loo_error 1.6362627478238513e+18
-iteration 96current difference of loo_error 8.363873684534989e+16
- getting loo error of with lamda = 0.05338144019113225, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2151961435.4153914
-error 4.630938019156411e+18
- y tested = 5326600510.288329
-y predicted = 3891976503.4776945
-error 2.0581460409173998e+18
- y tested = 5072151352.996373
-y predicted = 4902628281.338366
-error 2.8738071824365988e+16
- y tested = 7650055845.407672
-y predicted = 5180911561.350431
-error 6.096673495492542e+18
- y tested = 5789616901.049658
-y predicted = 6086145976.983323
-error 8.792949287407342e+16
- y tested = 8224428196.629629
-y predicted = 6850857496.159089
-error 1.88669646919113e+18
- y tested = 4059018123.5159216
-y predicted = 5171607086.013242
-error 1.2378541994708634e+18
- y tested = 5947637003.818383
-y predicted = 3772907538.2312407
-error 4.729448248492938e+18
- y tested = 997516184.7000968
-y predicted = 1212337666.8990662
-error 4.614826921416211e+16
- y tested = 6532788063.289651
-y predicted = 6947268827.60039
-error 1.7179430398361482e+17
- y tested = 1980229389.772511
-y predicted = 3246459013.742185
-error 1.6033374606183823e+18
- y tested = 5035525633.343237
-y predicted = 5312097125.551626
-error 7.649179030237514e+16
- y tested = 5026691733.102776
-y predicted = 5273826967.124369
-error 6.107582389490758e+16
- y tested = 1014996574.3865615
-y predicted = 1796211422.5122344
-error 6.102966389320182e+17
- y tested = 7665772326.561901
-y predicted = 6400524120.585434
-error 1.6008530227266685e+18
- y tested = 3029054692.61153
-y predicted = 4315581153.033426
-error 1.6551503333656934e+18
- y tested = 4062233415.93208
-y predicted = 4223046720.044428
-error 2.5860918779530548e+16
- y tested = 5822958761.806049
-y predicted = 6032226326.045922
-error 4.379291344288934e+16
- y tested = 6611133148.221605
-y predicted = 6339138413.949662
-error 7.398113547166493e+16
- y tested = 5377240292.736961
-y predicted = 2986816066.3514423
-error 5.714127982090807e+18
-error squared vector [4.630938019156411e+18, 2.0581460409173998e+18, 2.8738071824365988e+16, 6.096673495492542e+18, 8.792949287407342e+16, 1.88669646919113e+18, 1.2378541994708634e+18, 4.729448248492938e+18, 4.614826921416211e+16, 1.7179430398361482e+17, 1.6033374606183823e+18, 7.649179030237514e+16, 6.107582389490758e+16, 6.102966389320182e+17, 1.6008530227266685e+18, 1.6551503333656934e+18, 2.5860918779530548e+16, 4.379291344288934e+16, 7.398113547166493e+16, 5.714127982090807e+18]
-Total loo_error 1.6219667315121219e+18
-iteration 97current difference of loo_error 6.934272053362048e+16
- getting loo error of with lamda = 0.051849711707141116, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2136357328.7460904
-error 4.564022635731072e+18
- y tested = 5326600510.288329
-y predicted = 3895020890.5153756
-error 2.049420207749274e+18
- y tested = 5072151352.996373
-y predicted = 4890802383.890772
-error 3.288744859566434e+16
- y tested = 7650055845.407672
-y predicted = 5198727188.888345
-error 6.00901218227285e+18
- y tested = 5789616901.049658
-y predicted = 6083111194.75882
-error 8.613890043983971e+16
- y tested = 8224428196.629629
-y predicted = 6868012145.169893
-error 1.8398645046576207e+18
- y tested = 4059018123.5159216
-y predicted = 5170019209.166712
-error 1.2343234123172344e+18
- y tested = 5947637003.818383
-y predicted = 3782112210.5650597
-error 4.68949763019485e+18
- y tested = 997516184.7000968
-y predicted = 1193066540.2798295
-error 3.823994156735988e+16
- y tested = 6532788063.289651
-y predicted = 6946625361.238565
-error 1.7126130917365866e+17
- y tested = 1980229389.772511
-y predicted = 3248834473.1973615
-error 1.6093588576913718e+18
- y tested = 5035525633.343237
-y predicted = 5311815615.296536
-error 7.633615412775458e+16
- y tested = 5026691733.102776
-y predicted = 5275284971.667951
-error 6.179859826032204e+16
- y tested = 1014996574.3865615
-y predicted = 1780594145.3376236
-error 5.861396406461665e+17
- y tested = 7665772326.561901
-y predicted = 6409941907.16472
-error 1.5771100422833009e+18
- y tested = 3029054692.61153
-y predicted = 4325933962.850931
-error 1.6818958415766822e+18
- y tested = 4062233415.93208
-y predicted = 4234615051.2004647
-error 2.9715428177802492e+16
- y tested = 5822958761.806049
-y predicted = 6035350207.637757
-error 4.5110126262483336e+16
- y tested = 6611133148.221605
-y predicted = 6339602090.268711
-error 7.3729115433018e+16
- y tested = 5377240292.736961
-y predicted = 2988831659.351063
-error 5.704495800032296e+18
-error squared vector [4.564022635731072e+18, 2.049420207749274e+18, 3.288744859566434e+16, 6.00901218227285e+18, 8.613890043983971e+16, 1.8398645046576207e+18, 1.2343234123172344e+18, 4.68949763019485e+18, 3.823994156735988e+16, 1.7126130917365866e+17, 1.6093588576913718e+18, 7.633615412775458e+16, 6.179859826032204e+16, 5.861396406461665e+17, 1.5771100422833009e+18, 1.6818958415766822e+18, 2.9715428177802492e+16, 4.5110126262483336e+16, 7.3729115433018e+16, 5.704495800032296e+18]
-Total loo_error 1.608017888859531e+18
-iteration 98current difference of loo_error 5.539387788102963e+16
- getting loo error of with lamda = 0.05036439923781638, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2120941744.1597397
-error 4.498393881765869e+18
- y tested = 5326600510.288329
-y predicted = 3898032170.834368
-error 2.0408075004902472e+18
- y tested = 5072151352.996373
-y predicted = 4879018124.58991
-error 3.730044391470325e+16
- y tested = 7650055845.407672
-y predicted = 5216414314.92928
-error 5.922611098869208e+18
- y tested = 5789616901.049658
-y predicted = 6080141366.287107
-error 8.440446490150608e+16
- y tested = 8224428196.629629
-y predicted = 6885059993.423005
-error 1.7939071837609405e+18
- y tested = 4059018123.5159216
-y predicted = 5168416081.905143
-error 1.2307638300781722e+18
- y tested = 5947637003.818383
-y predicted = 3791220302.0934877
-error 4.650132991478076e+18
- y tested = 997516184.7000968
-y predicted = 1174036528.113289
-error 3.1159431638711332e+16
- y tested = 6532788063.289651
-y predicted = 6945731059.395906
-error 1.7052191803321098e+17
- y tested = 1980229389.772511
-y predicted = 3251356393.356393
-error 1.615763859240138e+18
- y tested = 5035525633.343237
-y predicted = 5311427440.745477
-error 7.612180732782262e+16
- y tested = 5026691733.102776
-y predicted = 5276696643.255459
-error 6.250245510045123e+16
- y tested = 1014996574.3865615
-y predicted = 1765164532.9046776
-error 5.6275196598723795e+17
- y tested = 7665772326.561901
-y predicted = 6419326083.730101
-error 1.5536282362695117e+18
- y tested = 3029054692.61153
-y predicted = 4336250636.5217285
-error 1.7087612357752753e+18
- y tested = 4062233415.93208
-y predicted = 4246237120.9845123
-error 3.3857363473022588e+16
- y tested = 5822958761.806049
-y predicted = 6038554796.678923
-error 4.64816502529052e+16
- y tested = 6611133148.221605
-y predicted = 6340021023.094118
-error 7.350178439114227e+16
- y tested = 5377240292.736961
-y predicted = 2990825926.4480014
-error 5.694973527630338e+18
-error squared vector [4.498393881765869e+18, 2.0408075004902472e+18, 3.730044391470325e+16, 5.922611098869208e+18, 8.440446490150608e+16, 1.7939071837609405e+18, 1.2307638300781722e+18, 4.650132991478076e+18, 3.1159431638711332e+16, 1.7052191803321098e+17, 1.615763859240138e+18, 7.612180732782262e+16, 6.250245510045123e+16, 5.6275196598723795e+17, 1.5536282362695117e+18, 1.7087612357752753e+18, 3.3857363473022588e+16, 4.64816502529052e+16, 7.350178439114227e+16, 5.694973527630338e+18]
-Total loo_error 1.5944173315189248e+18
-iteration 99current difference of loo_error 4.179332054042342e+16
- getting loo error of with lamda = 0.04892409623725906, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2105717993.9960766
-error 4.4340482698879084e+18
- y tested = 5326600510.288329
-y predicted = 3901008782.3731685
-error 2.0323117747001334e+18
- y tested = 5072151352.996373
-y predicted = 4867279527.087403
-error 4.197246505127526e+16
- y tested = 7650055845.407672
-y predicted = 5233967371.442493
-error 5.837483514027385e+18
- y tested = 5789616901.049658
-y predicted = 6077241886.101335
-error 8.272813202597728e+16
- y tested = 8224428196.629629
-y predicted = 6901994399.182257
-error 1.7488311486310781e+18
- y tested = 4059018123.5159216
-y predicted = 5166799183.280508
-error 1.2271788763731502e+18
- y tested = 5947637003.818383
-y predicted = 3800225843.921267
-error 4.611374689650678e+18
- y tested = 997516184.7000968
-y predicted = 1155249564.408176
-error 2.487981907413306e+16
- y tested = 6532788063.289651
-y predicted = 6944589857.454958
-error 1.6958071767776592e+17
- y tested = 1980229389.772511
-y predicted = 3254023702.603732
-error 1.6225519514011628e+18
- y tested = 5035525633.343237
-y predicted = 5310933054.63426
-error 7.584924770217117e+16
- y tested = 5026691733.102776
-y predicted = 5278063156.787308
-error 6.318759264518858e+16
- y tested = 1014996574.3865615
-y predicted = 1749923441.9939814
-error 5.40117500731254e+17
- y tested = 7665772326.561901
-y predicted = 6428675047.9774275
-error 1.5304096766811108e+18
- y tested = 3029054692.61153
-y predicted = 4346528955.083136
-error 1.7357384322751017e+18
- y tested = 4062233415.93208
-y predicted = 4257909875.9612885
-error 3.82892770095625e+16
- y tested = 5822958761.806049
-y predicted = 6041845366.383621
-error 4.79113456634983e+16
- y tested = 6611133148.221605
-y predicted = 6340398305.533575
-error 7.329735504531248e+16
- y tested = 5377240292.736961
-y predicted = 2992795912.573482
-error 5.685575002093199e+18
-error squared vector [4.4340482698879084e+18, 2.0323117747001334e+18, 4.197246505127526e+16, 5.837483514027385e+18, 8.272813202597728e+16, 1.7488311486310781e+18, 1.2271788763731502e+18, 4.611374689650678e+18, 2.487981907413306e+16, 1.6958071767776592e+17, 1.6225519514011628e+18, 7.584924770217117e+16, 6.318759264518858e+16, 5.40117500731254e+17, 1.5304096766811108e+18, 1.7357384322751017e+18, 3.82892770095625e+16, 4.79113456634983e+16, 7.329735504531248e+16, 5.685575002093199e+18]
-Total loo_error 1.5811658394173524e+18
-iteration 100current difference of loo_error 2.854182843885107e+16
- getting loo error of with lamda = 0.04752743878217317, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2090689172.6305845
-error 4.37098121620631e+18
- y tested = 5326600510.288329
-y predicted = 3903949262.5345697
-error 2.0239365727353285e+18
- y tested = 5072151352.996373
-y predicted = 4855590399.795997
-error 4.689864645105566e+16
- y tested = 7650055845.407672
-y predicted = 5251380967.6700115
-error 5.75364116908978e+18
- y tested = 5789616901.049658
-y predicted = 6074417893.467957
-error 8.111160528244784e+16
- y tested = 8224428196.629629
-y predicted = 6918808853.82887
-error 1.7046418682954867e+18
- y tested = 4059018123.5159216
-y predicted = 5165169954.426916
-error 1.2235718730277455e+18
- y tested = 5947637003.818383
-y predicted = 3809123137.0132565
-error 4.573241558517815e+18
- y tested = 997516184.7000968
-y predicted = 1136707354.7714741
-error 1.937418182583907e+16
- y tested = 6532788063.289651
-y predicted = 6943205658.955801
-error 1.6844260283238346e+17
- y tested = 1980229389.772511
-y predicted = 3256835213.5116434
-error 1.6297224292046687e+18
- y tested = 5035525633.343237
-y predicted = 5310332997.733388
-error 7.551908752306125e+16
- y tested = 5026691733.102776
-y predicted = 5279385704.572306
-error 6.38542432170437e+16
- y tested = 1014996574.3865615
-y predicted = 1734871583.854827
-error 5.1822002925693523e+17
- y tested = 7665772326.561901
-y predicted = 6437987115.851862
-error 1.5074565236382953e+18
- y tested = 3029054692.61153
-y predicted = 4356766818.596697
-error 1.762819489488052e+18
- y tested = 4062233415.93208
-y predicted = 4269630290.079079
-error 4.301346340594629e+16
- y tested = 5822958761.806049
-y predicted = 6045226953.651179
-error 4.9403149106103496e+16
- y tested = 6611133148.221605
-y predicted = 6340736939.063424
-error 7.311410992711486e+16
- y tested = 5377240292.736961
-y predicted = 2994738761.580795
-error 5.676313545961478e+18
-error squared vector [4.37098121620631e+18, 2.0239365727353285e+18, 4.689864645105566e+16, 5.75364116908978e+18, 8.111160528244784e+16, 1.7046418682954867e+18, 1.2235718730277455e+18, 4.573241558517815e+18, 1.937418182583907e+16, 1.6844260283238346e+17, 1.6297224292046687e+18, 7.551908752306125e+16, 6.38542432170437e+16, 5.1822002925693523e+17, 1.5074565236382953e+18, 1.762819489488052e+18, 4.301346340594629e+16, 4.9403149106103496e+16, 7.311410992711486e+16, 5.676313545961478e+18]
-Total loo_error 1.5682638682496445e+18
-iteration 101current difference of loo_error 1.5639857271143168e+16
- getting loo error of with lamda = 0.0461731042802717, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2075858155.7789567
-error 4.309187082568035e+18
- y tested = 5326600510.288329
-y predicted = 3906852247.2460213
-error 2.01568513041165e+18
- y tested = 5072151352.996373
-y predicted = 4843954339.307632
-error 5.207387705645933e+16
- y tested = 7650055845.407672
-y predicted = 5268649894.139154
-error 5.671094304737113e+18
- y tested = 5789616901.049658
-y predicted = 6071674271.63247
-error 7.955636030008992e+16
- y tested = 8224428196.629629
-y predicted = 6935496997.4120455
-error 1.6613436363164782e+18
- y tested = 4059018123.5159216
-y predicted = 5163529798.904409
-error 1.2199460410694843e+18
- y tested = 5947637003.818383
-y predicted = 3817906756.1811247
-error 4.5357509277010586e+18
- y tested = 997516184.7000968
-y predicted = 1118411380.7445617
-error 1.4615648426629584e+16
- y tested = 6532788063.289651
-y predicted = 6941582335.680797
-error 1.6711275713980624e+17
- y tested = 1980229389.772511
-y predicted = 3259789620.2750874
-error 1.6372743834838062e+18
- y tested = 5035525633.343237
-y predicted = 5309627898.690583
-error 7.513205186854704e+16
- y tested = 5026691733.102776
-y predicted = 5280665494.711758
-error 6.450267158581606e+16
- y tested = 1014996574.3865615
-y predicted = 1720009529.1321669
-error 4.9704326635912896e+17
- y tested = 7665772326.561901
-y predicted = 6447260528.519259
-error 1.4847710019691116e+18
- y tested = 3029054692.61153
-y predicted = 4366962244.220882
-error 1.7899966166533325e+18
- y tested = 4062233415.93208
-y predicted = 4281395363.2271643
-error 4.8031959142173384e+16
- y tested = 5822958761.806049
-y predicted = 6048704353.731105
-error 5.096107227359369e+16
- y tested = 6611133148.221605
-y predicted = 6341039831.201934
-error 7.295039989868874e+16
- y tested = 5377240292.736961
-y predicted = 2996651717.993999
-error 5.667201962196729e+18
-error squared vector [4.309187082568035e+18, 2.01568513041165e+18, 5.207387705645933e+16, 5.671094304737113e+18, 7.955636030008992e+16, 1.6613436363164782e+18, 1.2199460410694843e+18, 4.5357509277010586e+18, 1.4615648426629584e+16, 1.6711275713980624e+17, 1.6372743834838062e+18, 7.513205186854704e+16, 6.450267158581606e+16, 4.9704326635912896e+17, 1.4847710019691116e+18, 1.7899966166533325e+18, 4.8031959142173384e+16, 5.096107227359369e+16, 7.295039989868874e+16, 5.667201962196729e+18]
-Total loo_error 1.5557115575578865e+18
-iteration 102current difference of loo_error 3087546579385088.0
- getting loo error of with lamda = 0.044859810217821795, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2061227600.229291
-error 4.248659219603464e+18
- y tested = 5326600510.288329
-y predicted = 3909716469.821601
-error 2.0075603841293212e+18
- y tested = 5072151352.996373
-y predicted = 4832374734.214254
-error 5.749282691458553e+16
- y tested = 7650055845.407672
-y predicted = 5285769126.229134
-error 5.589851690484016e+18
- y tested = 5789616901.049658
-y predicted = 6069015647.519889
-error 7.806365952913645e+16
- y tested = 8224428196.629629
-y predicted = 6952052633.334893
-error 1.6189395740695964e+18
- y tested = 4059018123.5159216
-y predicted = 5161880083.12268
-error 1.2163045019476585e+18
- y tested = 5947637003.818383
-y predicted = 3826571553.226238
-error 4.498918645695661e+18
- y tested = 997516184.7000968
-y predicted = 1100362904.4953694
-error 1.0577447772647314e+16
- y tested = 6532788063.289651
-y predicted = 6939723728.09931
-error 1.6559663529407914e+17
- y tested = 1980229389.772511
-y predicted = 3262885496.297453
-error 1.6452066876057231e+18
- y tested = 5035525633.343237
-y predicted = 5308818473.6587925
-error 7.468897656774376e+16
- y tested = 5026691733.102776
-y predicted = 5281903749.4209795
-error 6.513317327320318e+16
- y tested = 1014996574.3865615
-y predicted = 1705337712.9356265
-error 4.765708875732193e+17
- y tested = 7665772326.561901
-y predicted = 6456493459.294929
-error 1.4623553788184922e+18
- y tested = 3029054692.61153
-y predicted = 4377113363.962121
-error 1.8172621814035213e+18
- y tested = 4062233415.93208
-y predicted = 4293202119.6951623
-error 5.334654211799856e+16
- y tested = 5822958761.806049
-y predicted = 6052282115.414489
-error 5.258920051022136e+16
- y tested = 6611133148.221605
-y predicted = 6341309793.317017
-error 7.280464285196763e+16
- y tested = 5377240292.736961
-y predicted = 2998532128.570093
-error 5.658252530274113e+18
-error squared vector [4.248659219603464e+18, 2.0075603841293212e+18, 5.749282691458553e+16, 5.589851690484016e+18, 7.806365952913645e+16, 1.6189395740695964e+18, 1.2163045019476585e+18, 4.498918645695661e+18, 1.0577447772647314e+16, 1.6559663529407914e+17, 1.6452066876057231e+18, 7.468897656774376e+16, 6.513317327320318e+16, 4.765708875732193e+17, 1.4623553788184922e+18, 1.8172621814035213e+18, 5.334654211799856e+16, 5.258920051022136e+16, 7.280464285196763e+16, 5.658252530274113e+18]
-Total loo_error 1.5435087393218184e+18
-iteration 103current difference of loo_error -9115271656683008.0
- getting loo error of with lamda = 0.004107897492103461, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1435168989.2180412
-error 2.0597100273739395e+18
- y tested = 5326600510.288329
-y predicted = 4019406491.5170703
-error 1.708756202711354e+18
- y tested = 5072151352.996373
-y predicted = 4053487318.934171
-error 1.037676414291879e+18
- y tested = 7650055845.407672
-y predicted = 6099470103.907716
-error 2.404316141742969e+18
- y tested = 5789616901.049658
-y predicted = 6271825623.840124
-error 2.3252525233521277e+17
- y tested = 8224428196.629629
-y predicted = 7765358044.831884
-error 2.107454042716044e+17
- y tested = 4059018123.5159216
-y predicted = 5058211726.706488
-error 9.983878566569464e+17
- y tested = 5947637003.818383
-y predicted = 4069198351.6415367
-error 3.528531769991968e+18
- y tested = 997516184.7000968
-y predicted = 267512554.59823692
-error 5.329052999618931e+17
- y tested = 6532788063.289651
-y predicted = 6168869989.136131
-error 1.3243636469560661e+17
- y tested = 1980229389.772511
-y predicted = 3755747402.3493776
-error 3.152464212984906e+18
- y tested = 5035525633.343237
-y predicted = 4990542076.642759
-error 2023520373425083.2
- y tested = 5026691733.102776
-y predicted = 5344465426.560179
-error 1.0098012025355965e+17
- y tested = 1014996574.3865615
-y predicted = 1003369296.9941847
-error 135193579559276.19
- y tested = 7665772326.561901
-y predicted = 6979055782.20739
-error 4.715796122902014e+17
- y tested = 3029054692.61153
-y predicted = 5095506638.489772
-error 4.270223644623973e+18
- y tested = 4062233415.93208
-y predicted = 5305955533.674591
-error 1.5468447061619172e+18
- y tested = 5822958761.806049
-y predicted = 6855295997.964702
-error 1.0657201691596851e+18
- y tested = 6611133148.221605
-y predicted = 6342762501.670586
-error 7.202280393021233e+16
- y tested = 5377240292.736961
-y predicted = 2953337283.957925
-error 5.875305795968066e+18
-error squared vector [2.0597100273739395e+18, 1.708756202711354e+18, 1.037676414291879e+18, 2.404316141742969e+18, 2.3252525233521277e+17, 2.107454042716044e+17, 9.983878566569464e+17, 3.528531769991968e+18, 5.329052999618931e+17, 1.3243636469560661e+17, 3.152464212984906e+18, 2023520373425083.2, 1.0098012025355965e+17, 135193579559276.19, 4.715796122902014e+17, 4.270223644623973e+18, 1.5468447061619172e+18, 1.0657201691596851e+18, 7.202280393021233e+16, 5.875305795968066e+18]
-Total loo_error 1.470164525667944e+18
-iteration 104current difference of loo_error 7.334421365387443e+16
- getting loo error of with lamda = 0.043624903771587904, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2047240685.0228653
-error 4.191194422071684e+18
- y tested = 5326600510.288329
-y predicted = 3912454491.856826
-error 1.9998089614456737e+18
- y tested = 5072151352.996373
-y predicted = 4821208199.207814
-error 6.297246643334835e+16
- y tested = 7650055845.407672
-y predicted = 5302214350.640895
-error 5.512359684548694e+18
- y tested = 5789616901.049658
-y predicted = 6066524047.863179
-error 7.667756795640509e+16
- y tested = 8224428196.629629
-y predicted = 6967966882.186536
-error 1.5786950346920658e+18
- y tested = 4059018123.5159216
-y predicted = 5160273244.4173565
-error 1.212762841311634e+18
- y tested = 5947637003.818383
-y predicted = 3834851828.3267436
-error 4.4638611977772385e+18
- y tested = 997516184.7000968
-y predicted = 1083106777.5304084
-error 7325749581044177.0
- y tested = 6532788063.289651
-y predicted = 6937701349.537875
-error 1.639547693803364e+17
- y tested = 1980229389.772511
-y predicted = 3266019690.7431636
-error 1.6532566980702013e+18
- y tested = 5035525633.343237
-y predicted = 5307935142.259077
-error 7.42069405477692e+16
- y tested = 5026691733.102776
-y predicted = 5283065443.395199
-error 6.572747932910337e+16
- y tested = 1014996574.3865615
-y predicted = 1691299034.6649723
-error 4.573850177786314e+17
- y tested = 7665772326.561901
-y predicted = 6465401973.683018
-error 1.4408889840705748e+18
- y tested = 3029054692.61153
-y predicted = 4386908298.339002
-error 1.8437664145870966e+18
- y tested = 4062233415.93208
-y predicted = 4304682696.403122
-error 5.878165360092606e+16
- y tested = 5822958761.806049
-y predicted = 6055849666.877237
-error 5.423817366487709e+16
- y tested = 6611133148.221605
-y predicted = 6341542588.743576
-error 7.267906975967683e+16
- y tested = 5377240292.736961
-y predicted = 3000321230.014085
-error 5.649744230735398e+18
-error squared vector [4.191194422071684e+18, 1.9998089614456737e+18, 6.297246643334835e+16, 5.512359684548694e+18, 7.667756795640509e+16, 1.5786950346920658e+18, 1.212762841311634e+18, 4.4638611977772385e+18, 7325749581044177.0, 1.639547693803364e+17, 1.6532566980702013e+18, 7.42069405477692e+16, 6.572747932910337e+16, 4.573850177786314e+17, 1.4408889840705748e+18, 1.8437664145870966e+18, 5.878165360092606e+16, 5.423817366487709e+16, 7.267906975967683e+16, 5.649744230735398e+18]
-Total loo_error 1.532014367867119e+18
-iteration 105current difference of loo_error 6.184984219917517e+16
- getting loo error of with lamda = 0.04242741873281565, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2033459557.9930713
-error 4.1349577736544676e+18
- y tested = 5326600510.288329
-y predicted = 3915151444.8271384
-error 1.9921884643912686e+18
- y tested = 5072151352.996373
-y predicted = 4810111051.79967
-error 6.866511945125881e+16
- y tested = 7650055845.407672
-y predicted = 5318494594.458163
-error 5.436177866929238e+18
- y tested = 5789616901.049658
-y predicted = 6064122420.378365
-error 7.535328014192299e+16
- y tested = 8224428196.629629
-y predicted = 6983730597.348477
-error 1.5393305328620134e+18
- y tested = 4059018123.5159216
-y predicted = 5158661404.465339
-error 1.2092153453371986e+18
- y tested = 5947637003.818383
-y predicted = 3843003944.9167337
-error 4.429480312621714e+18
- y tested = 997516184.7000968
-y predicted = 1066101142.2875737
-error 4703896407275998.0
- y tested = 6532788063.289651
-y predicted = 6935467209.715926
-error 1.6215049496659363e+17
- y tested = 1980229389.772511
-y predicted = 3269280610.609637
-error 1.6616530499416845e+18
- y tested = 5035525633.343237
-y predicted = 5306956353.5662985
-error 7.367463588080992e+16
- y tested = 5026691733.102776
-y predicted = 5284189348.220146
-error 6.630502179113353e+16
- y tested = 1014996574.3865615
-y predicted = 1677452747.243569
-error 4.388481809563532e+17
- y tested = 7665772326.561901
-y predicted = 6474260423.2895355
-error 1.419700615639735e+18
- y tested = 3029054692.61153
-y predicted = 4396649119.015212
-error 1.8703145151304166e+18
- y tested = 4062233415.93208
-y predicted = 4316185915.002681
-error 6.449187178420359e+16
- y tested = 5822958761.806049
-y predicted = 6059515651.07246
-error 5.595916185940095e+16
- y tested = 6611133148.221605
-y predicted = 6341749192.014753
-error 7.256771586165514e+16
- y tested = 5377240292.736961
-y predicted = 3002073467.0799475
-error 5.641417449701616e+18
-error squared vector [4.1349577736544676e+18, 1.9921884643912686e+18, 6.866511945125881e+16, 5.436177866929238e+18, 7.535328014192299e+16, 1.5393305328620134e+18, 1.2092153453371986e+18, 4.429480312621714e+18, 4703896407275998.0, 1.6215049496659363e+17, 1.6616530499416845e+18, 7.367463588080992e+16, 6.630502179113353e+16, 4.388481809563532e+17, 1.419700615639735e+18, 1.8703145151304166e+18, 6.449187178420359e+16, 5.595916185940095e+16, 7.256771586165514e+16, 5.641417449701616e+18]
-Total loo_error 1.5208577652654976e+18
-iteration 106current difference of loo_error 5.069323959755366e+16
- getting loo error of with lamda = 0.04126622111946074, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2019885868.635549
-error 4.0799389219769395e+18
- y tested = 5326600510.288329
-y predicted = 3917806470.162286
-error 1.9847006474946598e+18
- y tested = 5072151352.996373
-y predicted = 4799085970.814418
-error 7.456470294617733e+16
- y tested = 7650055845.407672
-y predicted = 5334605791.167924
-error 5.361308953678852e+18
- y tested = 5789616901.049658
-y predicted = 6061814087.063286
-error 7.40913080737376e+16
- y tested = 8224428196.629629
-y predicted = 6999338620.618702
-error 1.5008444692506335e+18
- y tested = 4059018123.5159216
-y predicted = 5157045769.8035345
-error 1.2056647120119153e+18
- y tested = 5947637003.818383
-y predicted = 3851024109.3789444
-error 4.3957856291297213e+18
- y tested = 997516184.7000968
-y predicted = 1049346377.1172411
-error 2686368845998202.5
- y tested = 6532788063.289651
-y predicted = 6933025399.44625
-error 1.6018992525373046e+17
- y tested = 1980229389.772511
-y predicted = 3272666157.051772
-error 1.670392797415267e+18
- y tested = 5035525633.343237
-y predicted = 5305883296.460263
-error 7.30932660060995e+16
- y tested = 5026691733.102776
-y predicted = 5285276676.015237
-error 6.6866172701040856e+16
- y tested = 1014996574.3865615
-y predicted = 1663798775.9310367
-error 4.209442967289578e+17
- y tested = 7665772326.561901
-y predicted = 6483066878.974101
-error 1.3987921757538583e+18
- y tested = 3029054692.61153
-y predicted = 4406334282.511939
-error 1.8968990687562394e+18
- y tested = 4062233415.93208
-y predicted = 4327708712.686975
-error 7.047713318709942e+16
- y tested = 5822958761.806049
-y predicted = 6063283110.187112
-error 5.77557924247823e+16
- y tested = 6611133148.221605
-y predicted = 6341931954.3294735
-error 7.246928279294914e+16
- y tested = 5377240292.736961
-y predicted = 3003786768.422267
-error 5.633281632081843e+18
-error squared vector [4.0799389219769395e+18, 1.9847006474946598e+18, 7.456470294617733e+16, 5.361308953678852e+18, 7.40913080737376e+16, 1.5008444692506335e+18, 1.2056647120119153e+18, 4.3957856291297213e+18, 2686368845998202.5, 1.6018992525373046e+17, 1.670392797415267e+18, 7.30932660060995e+16, 6.6866172701040856e+16, 4.209442967289578e+17, 1.3987921757538583e+18, 1.8968990687562394e+18, 7.047713318709942e+16, 5.77557924247823e+16, 7.246928279294914e+16, 5.633281632081843e+18]
-Total loo_error 1.510037362825525e+18
-iteration 107current difference of loo_error 3.987283715758106e+16
- getting loo error of with lamda = 0.040140211312571124, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 2006521055.5864782
-error 4.026126746177455e+18
- y tested = 5326600510.288329
-y predicted = 3920418796.7423935
-error 1.9773470115109837e+18
- y tested = 5072151352.996373
-y predicted = 4788135455.814737
-error 8.066502985188955e+16
- y tested = 7650055845.407672
-y predicted = 5350544073.221185
-error 5.287754390424239e+18
- y tested = 5789616901.049658
-y predicted = 6059602119.164744
-error 7.289201800065086e+16
- y tested = 8224428196.629629
-y predicted = 7014786013.29895
-error 1.463234211693012e+18
- y tested = 4059018123.5159216
-y predicted = 5155427511.505678
-error 1.2021135460720727e+18
- y tested = 5947637003.818383
-y predicted = 3858908805.369835
-error 4.362785486994118e+18
- y tested = 997516184.7000968
-y predicted = 1032842670.5284097
-error 1247960600977990.2
- y tested = 6532788063.289651
-y predicted = 6930379991.360351
-error 1.5807934126697645e+17
- y tested = 1980229389.772511
-y predicted = 3276174111.8493996
-error 1.679472722678944e+18
- y tested = 5035525633.343237
-y predicted = 5304717239.513144
-error 7.246412083233411e+16
- y tested = 5026691733.102776
-y predicted = 5286328641.388926
-error 6.741132414439066e+16
- y tested = 1014996574.3865615
-y predicted = 1650336935.9162097
-error 4.0365737498862406e+17
- y tested = 7665772326.561901
-y predicted = 6491819384.3036995
-error 1.3781655106366884e+18
- y tested = 3029054692.61153
-y predicted = 4415962341.674446
-error 1.9235128270292252e+18
- y tested = 4062233415.93208
-y predicted = 4339248045.701236
-error 7.673710510614256e+16
- y tested = 5822958761.806049
-y predicted = 6067154823.714269
-error 5.963171665148289e+16
- y tested = 6611133148.221605
-y predicted = 6342093125.568185
-error 7.2382533789353e+16
- y tested = 5377240292.736961
-y predicted = 3005459171.5110435
-error 5.625345687003672e+18
-error squared vector [4.026126746177455e+18, 1.9773470115109837e+18, 8.066502985188955e+16, 5.287754390424239e+18, 7.289201800065086e+16, 1.463234211693012e+18, 1.2021135460720727e+18, 4.362785486994118e+18, 1247960600977990.2, 1.5807934126697645e+17, 1.679472722678944e+18, 7.246412083233411e+16, 6.741132414439066e+16, 4.0365737498862406e+17, 1.3781655106366884e+18, 1.9235128270292252e+18, 7.673710510614256e+16, 5.963171665148289e+16, 7.2382533789353e+16, 5.625345687003672e+18]
-Total loo_error 1.4995513332726615e+18
-iteration 108current difference of loo_error 2.938680760471757e+16
- getting loo error of with lamda = 0.03904832301498119, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1993366349.0689554
-error 3.973509401268269e+18
- y tested = 5326600510.288329
-y predicted = 3922987738.794216
-error 1.970128812301385e+18
- y tested = 5072151352.996373
-y predicted = 4777261832.639282
-error 8.695982921643515e+16
- y tested = 7650055845.407672
-y predicted = 5366305772.887696
-error 5.215514393734994e+18
- y tested = 5789616901.049658
-y predicted = 6057489339.694763
-error 7.1755643385675736e+16
- y tested = 8224428196.629629
-y predicted = 7030068064.318981
-error 1.4264961256531085e+18
- y tested = 4059018123.5159216
-y predicted = 5153807765.808504
-error 1.198564360871121e+18
- y tested = 5947637003.818383
-y predicted = 3866654792.1553082
-error 4.3304869652581427e+18
- y tested = 997516184.7000968
-y predicted = 1016590027.3245633
-error 363811472462912.0
- y tested = 6532788063.289651
-y predicted = 6927535041.65927
-error 1.5582517693194474e+17
- y tested = 1980229389.772511
-y predicted = 3279802137.3793545
-error 1.6888893263224005e+18
- y tested = 5035525633.343237
-y predicted = 5303459529.227734
-error 7.178857256384431e+16
- y tested = 5026691733.102776
-y predicted = 5287346459.573191
-error 6.794088643136692e+16
- y tested = 1014996574.3865615
-y predicted = 1637066937.4666278
-error 3.8697153662256557e+17
- y tested = 7665772326.561901
-y predicted = 6500515961.937822
-error 1.357822395296924e+18
- y tested = 3029054692.61153
-y predicted = 4425531942.124578
-error 1.9501487084075295e+18
- y tested = 4062233415.93208
-y predicted = 4350800888.1684675
-error 8.32711860328984e+16
- y tested = 5822958761.806049
-y predicted = 6071133307.500945
-error 6.1590605130867896e+16
- y tested = 6611133148.221605
-y predicted = 6342234853.578711
-error 7.230629286185704e+16
- y tested = 5377240292.736961
-y predicted = 3007088823.0076146
-error 5.617617989460182e+18
-error squared vector [3.973509401268269e+18, 1.970128812301385e+18, 8.695982921643515e+16, 5.215514393734994e+18, 7.1755643385675736e+16, 1.4264961256531085e+18, 1.198564360871121e+18, 4.3304869652581427e+18, 363811472462912.0, 1.5582517693194474e+17, 1.6888893263224005e+18, 7.178857256384431e+16, 6.794088643136692e+16, 3.8697153662256557e+17, 1.357822395296924e+18, 1.9501487084075295e+18, 8.32711860328984e+16, 6.1590605130867896e+16, 7.230629286185704e+16, 5.617617989460182e+18]
-Total loo_error 1.4893976009611986e+18
-iteration 109current difference of loo_error 1.9233075293254656e+16
- getting loo error of with lamda = 0.03798952224156066, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1980422773.6916418
-error 3.922074362226426e+18
- y tested = 5326600510.288329
-y predicted = 3925512693.6815042
-error 1.9630470698440796e+18
- y tested = 5072151352.996373
-y predicted = 4766467259.1233225
-error 9.344276524698806e+16
- y tested = 7650055845.407672
-y predicted = 5381887422.721302
-error 5.144587993671576e+18
- y tested = 5789616901.049658
-y predicted = 6055478326.3061075
-error 7.068229743939079e+16
- y tested = 8224428196.629629
-y predicted = 7045180297.362916
-error 1.390625607924956e+18
- y tested = 4059018123.5159216
-y predicted = 5152187634.75716
-error 1.1950195803074084e+18
- y tested = 5947637003.818383
-y predicted = 3874259102.328782
-error 4.2988959223854223e+18
- y tested = 997516184.7000968
-y predicted = 1000588274.8769488
-error 9437738054710.479
- y tested = 6532788063.289651
-y predicted = 6924494592.037972
-error 1.5343400466405965e+17
- y tested = 1980229389.772511
-y predicted = 3283547776.906631
-error 1.698638818241884e+18
- y tested = 5035525633.343237
-y predicted = 5302111588.113503
-error 7.106807128077459e+16
- y tested = 5026691733.102776
-y predicted = 5288331344.548523
-error 6.845528627748166e+16
- y tested = 1014996574.3865615
-y predicted = 1623988391.0421262
-error 3.7087103275344486e+17
- y tested = 7665772326.561901
-y predicted = 6509154619.877145
-error 1.337764519416705e+18
- y tested = 3029054692.61153
-y predicted = 4435041818.559208
-error 1.976799798330612e+18
- y tested = 4062233415.93208
-y predicted = 4362364230.975098
-error 9.007850613838619e+16
- y tested = 5822958761.806049
-y predicted = 6075220813.310513
-error 6.363614262924044e+16
- y tested = 6611133148.221605
-y predicted = 6342359183.686321
-error 7.223944401201413e+16
- y tested = 5377240292.736961
-y predicted = 3008673978.992981
-error 5.610106382602748e+18
-error squared vector [3.922074362226426e+18, 1.9630470698440796e+18, 9.344276524698806e+16, 5.144587993671576e+18, 7.068229743939079e+16, 1.390625607924956e+18, 1.1950195803074084e+18, 4.2988959223854223e+18, 9437738054710.479, 1.5343400466405965e+17, 1.698638818241884e+18, 7.106807128077459e+16, 6.845528627748166e+16, 3.7087103275344486e+17, 1.337764519416705e+18, 1.976799798330612e+18, 9.007850613838619e+16, 6.363614262924044e+16, 7.223944401201413e+16, 5.610106382602748e+18]
-Total loo_error 1.4795738521565827e+18
-iteration 110current difference of loo_error 9409326488638720.0
- getting loo error of with lamda = 0.03696280634006195, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1967691151.5893602
-error 3.8718084677151145e+18
- y tested = 5326600510.288329
-y predicted = 3927993139.600216
-error 1.9561025773431173e+18
- y tested = 5072151352.996373
-y predicted = 4755753730.977019
-error 1.0010745521950192e+17
- y tested = 7650055845.407672
-y predicted = 5397285755.646861
-error 5.074973077320931e+18
- y tested = 5789616901.049658
-y predicted = 6053571414.510239
-error 6.9671985176211944e+16
- y tested = 8224428196.629629
-y predicted = 7060118477.000954
-error 1.3556171232218048e+18
- y tested = 4059018123.5159216
-y predicted = 5150568186.860451
-error 1.1914815407874455e+18
- y tested = 5947637003.818383
-y predicted = 3881719038.9490476
-error 4.2680170375698575e+18
- y tested = 997516184.7000968
-y predicted = 984837069.5074084
-error 160759962069463.47
- y tested = 6532788063.289651
-y predicted = 6921262671.758883
-error 1.5091252142532352e+17
- y tested = 1980229389.772511
-y predicted = 3287408455.207947
-error 1.7087171091126592e+18
- y tested = 5035525633.343237
-y predicted = 5300674912.610094
-error 7.03041402957338e+16
- y tested = 5026691733.102776
-y predicted = 5289284507.168395
-error 6.895496499147747e+16
- y tested = 1014996574.3865615
-y predicted = 1611100812.3507817
-error 3.553402625189036e+17
- y tested = 7665772326.561901
-y predicted = 6517733357.566731
-error 1.317993474331492e+18
- y tested = 3029054692.61153
-y predicted = 4444490790.917903
-error 2.0034593483887688e+18
- y tested = 4062233415.93208
-y predicted = 4373935080.731796
-error 9.71579278389148e+16
- y tested = 5822958761.806049
-y predicted = 6079419328.887386
-error 6.577202246768094e+16
- y tested = 6611133148.221605
-y predicted = 6342468058.435873
-error 7.218093046957558e+16
- y tested = 5377240292.736961
-y predicted = 3010213005.052141
-error 5.602818180644557e+18
-error squared vector [3.8718084677151145e+18, 1.9561025773431173e+18, 1.0010745521950192e+17, 5.074973077320931e+18, 6.9671985176211944e+16, 1.3556171232218048e+18, 1.1914815407874455e+18, 4.2680170375698575e+18, 160759962069463.47, 1.5091252142532352e+17, 1.7087171091126592e+18, 7.03041402957338e+16, 6.895496499147747e+16, 3.553402625189036e+17, 1.317993474331492e+18, 2.0034593483887688e+18, 9.71579278389148e+16, 6.577202246768094e+16, 7.218093046957558e+16, 5.602818180644557e+18]
-Total loo_error 1.470077545340057e+18
-iteration 111current difference of loo_error -86980327886848.0
- getting loo error of with lamda = 0.005103500790526446, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '1001-2220'
+--- Neighbour 0 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '1001-2220'
+--- Neighbour 0 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.80059101405426 mAh) it is NOT far from the median.
+--- Median :42.80059101405426, the gap is : 10
+--- So No we don't romove this configuration '1001-2220'
+ --- remove_aberrant_points: The value [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '0200-1100'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1456974875.417487
-error 2.1227757873549727e+18
- y tested = 5326600510.288329
-y predicted = 4016558685.2908254
-error 1.7162095832427901e+18
- y tested = 5072151352.996373
-y predicted = 4110911068.3092585
-error 9.239828849053654e+17
- y tested = 7650055845.407672
-y predicted = 6075201222.3808365
-error 2.480167083668996e+18
- y tested = 5789616901.049658
-y predicted = 6224691976.301274
-error 1.8929032110519974e+17
- y tested = 8224428196.629629
-y predicted = 7731679672.54201
-error 2.428011079905267e+17
- y tested = 4059018123.5159216
-y predicted = 5061714928.2245655
-error 1.0054008821729244e+18
- y tested = 5947637003.818383
-y predicted = 4075850308.247064
-error 3.503585433717798e+18
- y tested = 997516184.7000968
-y predicted = 301182838.6947422
-error 4.848801287590129e+17
- y tested = 6532788063.289651
-y predicted = 6268827827.7136135
-error 6.967500596535716e+16
- y tested = 1980229389.772511
-y predicted = 3721448833.675311
-error 3.0318451518251766e+18
- y tested = 5035525633.343237
-y predicted = 5027247782.371061
-error 68522816717548.49
- y tested = 5026691733.102776
-y predicted = 5338141810.234395
-error 9.700115054529171e+16
- y tested = 1014996574.3865615
-y predicted = 1030696835.2001661
-error 246498189615207.97
- y tested = 7665772326.561901
-y predicted = 6958503795.114633
-error 5.002287755755758e+17
- y tested = 3029054692.61153
-y predicted = 5042384567.932253
-error 4.0534971868589583e+18
- y tested = 4062233415.93208
-y predicted = 5225343142.552045
-error 1.35282423615797e+18
- y tested = 5822958761.806049
-y predicted = 6754215017.620814
-error 8.67238213994135e+17
- y tested = 6611133148.221605
-y predicted = 6345313858.214397
-error 7.065989493993608e+16
- y tested = 5377240292.736961
-y predicted = 2970829167.418286
-error 5.790814504057495e+18
-error squared vector [2.1227757873549727e+18, 1.7162095832427901e+18, 9.239828849053654e+17, 2.480167083668996e+18, 1.8929032110519974e+17, 2.428011079905267e+17, 1.0054008821729244e+18, 3.503585433717798e+18, 4.848801287590129e+17, 6.967500596535716e+16, 3.0318451518251766e+18, 68522816717548.49, 9.700115054529171e+16, 246498189615207.97, 5.002287755755758e+17, 4.0534971868589583e+18, 1.35282423615797e+18, 8.67238213994135e+17, 7.065989493993608e+16, 5.790814504057495e+18]
-Total loo_error 1.4251596176921907e+18
-iteration 112current difference of loo_error 4.491792764786637e+16
- getting loo error of with lamda = 0.03599737283856087, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1955554012.302521
-error 3.824191494706563e+18
- y tested = 5326600510.288329
-y predicted = 3930354392.4369907
-error 1.9495032216149335e+18
- y tested = 5072151352.996373
-y predicted = 4745448828.886466
-error 1.0673453925978446e+17
- y tested = 7650055845.407672
-y predicted = 5412032599.282761
-error 5.008748050195486e+18
- y tested = 5789616901.049658
-y predicted = 6051824488.430322
-error 6.875281887998848e+16
- y tested = 8224428196.629629
-y predicted = 7074427290.289348
-error 1.3225020845834688e+18
- y tested = 4059018123.5159216
-y predicted = 5149000182.810213
-error 1.1880608895834243e+18
- y tested = 5947637003.818383
-y predicted = 3888809433.842851
-error 4.238770962891354e+18
- y tested = 997516184.7000968
-y predicted = 969808990.356057
-error 767688618418391.0
- y tested = 6532788063.289651
-y predicted = 6917951233.124523
-error 1.4835066739724666e+17
- y tested = 1980229389.772511
-y predicted = 3291257623.6899924
-error 1.7187950301287903e+18
- y tested = 5035525633.343237
-y predicted = 5299199227.024177
-error 6.952376400462127e+16
- y tested = 5026691733.102776
-y predicted = 5290179216.278862
-error 6.9425653790468424e+16
- y tested = 1014996574.3865615
-y predicted = 1598791354.8127298
-error 3.408163456528381e+17
- y tested = 7665772326.561901
-y predicted = 6525989141.342123
-error 1.2991057093097428e+18
- y tested = 3029054692.61153
-y predicted = 4453589956.157683
-error 2.029300717086509e+18
- y tested = 4062233415.93208
-y predicted = 4385154367.233008
-error 1.0427794078909669e+17
- y tested = 5822958761.806049
-y predicted = 6083596271.0680275
-error 6.793191123428774e+16
- y tested = 6611133148.221605
-y predicted = 6342560573.15222
-error 7.213122807940072e+16
- y tested = 5377240292.736961
-y predicted = 3011659226.856238
-error 5.59597377925338e+18
-error squared vector [3.824191494706563e+18, 1.9495032216149335e+18, 1.0673453925978446e+17, 5.008748050195486e+18, 6.875281887998848e+16, 1.3225020845834688e+18, 1.1880608895834243e+18, 4.238770962891354e+18, 767688618418391.0, 1.4835066739724666e+17, 1.7187950301287903e+18, 6.952376400462127e+16, 6.9425653790468424e+16, 3.408163456528381e+17, 1.2991057093097428e+18, 2.029300717086509e+18, 1.0427794078909669e+17, 6.793191123428774e+16, 7.213122807940072e+16, 5.59597377925338e+18]
-Total loo_error 1.46118322485299e+18
-iteration 113current difference of loo_error 3.602360716079923e+16
- getting loo error of with lamda = 0.03506119489771135, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1943628333.449734
-error 3.7776910982646523e+18
- y tested = 5326600510.288329
-y predicted = 3932670873.790892
-error 1.9430398315058767e+18
- y tested = 5072151352.996373
-y predicted = 4735233113.415703
-error 1.1351390016213798e+17
- y tested = 7650055845.407672
-y predicted = 5426587829.309728
-error 4.943810018610528e+18
- y tested = 5789616901.049658
-y predicted = 6050180558.989724
-error 6.7893419839107896e+16
- y tested = 8224428196.629629
-y predicted = 7088551941.858199
-error 1.2902148661535706e+18
- y tested = 4059018123.5159216
-y predicted = 5147436209.511019
-error 1.1846539299212306e+18
- y tested = 5947637003.818383
-y predicted = 3895753332.900599
-error 4.210226598979042e+18
- y tested = 997516184.7000968
-y predicted = 955029295.0757234
-error 1805135789953691.2
- y tested = 6532788063.289651
-y predicted = 6914470776.852397
-error 1.4568169383262125e+17
- y tested = 1980229389.772511
-y predicted = 3295205933.7732434
-error 1.72916331127211e+18
- y tested = 5035525633.343237
-y predicted = 5297644677.240476
-error 6.870639317360257e+16
- y tested = 5026691733.102776
-y predicted = 5291045529.401413
-error 6.988292961750147e+16
- y tested = 1014996574.3865615
-y predicted = 1586671724.1898394
-error 3.268124769026002e+17
- y tested = 7665772326.561901
-y predicted = 6534177090.265576
-error 1.280507778808535e+18
- y tested = 3029054692.61153
-y predicted = 4462621290.245585
-error 2.0551131898520824e+18
- y tested = 4062233415.93208
-y predicted = 4396364432.719171
-error 1.1164353637917514e+17
- y tested = 5822958761.806049
-y predicted = 6087876288.679983
-error 7.018129604500143e+16
- y tested = 6611133148.221605
-y predicted = 6342641807.457921
-error 7.208760006508083e+16
- y tested = 5377240292.736961
-y predicted = 3013058067.1750565
-error 5.589357595662842e+18
-error squared vector [3.7776910982646523e+18, 1.9430398315058767e+18, 1.1351390016213798e+17, 4.943810018610528e+18, 6.7893419839107896e+16, 1.2902148661535706e+18, 1.1846539299212306e+18, 4.210226598979042e+18, 1805135789953691.2, 1.4568169383262125e+17, 1.72916331127211e+18, 6.870639317360257e+16, 6.988292961750147e+16, 3.268124769026002e+17, 1.280507778808535e+18, 2.0551131898520824e+18, 1.1164353637917514e+17, 7.018129604500143e+16, 7.208760006508083e+16, 5.589357595662842e+18]
-Total loo_error 1.4525993300418627e+18
-iteration 114current difference of loo_error 2.7439712349671936e+16
- getting loo error of with lamda = 0.03415338598537241, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1931914088.5477648
-error 3.7322920452073554e+18
- y tested = 5326600510.288329
-y predicted = 3934942373.333466
-error 1.9367123701526804e+18
- y tested = 5072151352.996373
-y predicted = 4725108047.106995
-error 1.2043905616262877e+17
- y tested = 7650055845.407672
-y predicted = 5440949127.524153
-error 4.880152490998095e+18
- y tested = 5789616901.049658
-y predicted = 6048640864.905042
-error 6.709341385135521e+16
- y tested = 8224428196.629629
-y predicted = 7102489362.160891
-error 1.2587467482890716e+18
- y tested = 4059018123.5159216
-y predicted = 5145877185.893035
-error 1.1812626214712579e+18
- y tested = 5947637003.818383
-y predicted = 3902549208.8607187
-error 4.1823840890848026e+18
- y tested = 997516184.7000968
-y predicted = 940496979.7943324
-error 3251189728085554.0
- y tested = 6532788063.289651
-y predicted = 6910825535.7528715
-error 1.4291233058638027e+17
- y tested = 1980229389.772511
-y predicted = 3299250328.3449154
-error 1.7398162363924265e+18
- y tested = 5035525633.343237
-y predicted = 5296013084.061602
-error 6.785371198175249e+16
- y tested = 5026691733.102776
-y predicted = 5291884582.201204
-error 7.032724721294199e+16
- y tested = 1014996574.3865615
-y predicted = 1574741073.8727884
-error 3.1331390470508666e+17
- y tested = 7665772326.561901
-y predicted = 6542295343.749748
-error 1.2622005309086984e+18
- y tested = 3029054692.61153
-y predicted = 4471583849.445685
-error 2.0808903683166597e+18
- y tested = 4062233415.93208
-y predicted = 4407562281.339821
-error 1.1925202528379774e+17
- y tested = 5822958761.806049
-y predicted = 6092260048.06469
-error 7.252318278055813e+16
- y tested = 6611133148.221605
-y predicted = 6342713278.394388
-error 7.204922651806018e+16
- y tested = 5377240292.736961
-y predicted = 3014408431.9100995
-error 5.582974402538531e+18
-error squared vector [3.7322920452073554e+18, 1.9367123701526804e+18, 1.2043905616262877e+17, 4.880152490998095e+18, 6.709341385135521e+16, 1.2587467482890716e+18, 1.1812626214712579e+18, 4.1823840890848026e+18, 3251189728085554.0, 1.4291233058638027e+17, 1.7398162363924265e+18, 6.785371198175249e+16, 7.032724721294199e+16, 3.1331390470508666e+17, 1.2622005309086984e+18, 2.0808903683166597e+18, 1.1925202528379774e+17, 7.252318278055813e+16, 7.204922651806018e+16, 5.582974402538531e+18]
-Total loo_error 1.4443223596085112e+18
-iteration 115current difference of loo_error 1.916274191632051e+16
- getting loo error of with lamda = 0.033273086434013444, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1920411072.942129
-error 3.6879786887586703e+18
- y tested = 5326600510.288329
-y predicted = 3937168747.4788175
-error 1.930520623503947e+18
- y tested = 5072151352.996373
-y predicted = 4715074962.255673
-error 1.275035488244049e+17
- y tested = 7650055845.407672
-y predicted = 5455114371.665981
-error 4.817768073151345e+18
- y tested = 5789616901.049658
-y predicted = 6047206427.732976
-error 6.6352364256935864e+16
- y tested = 8224428196.629629
-y predicted = 7116236732.620398
-error 1.228088320902924e+18
- y tested = 4059018123.5159216
-y predicted = 5144323999.357396
-error 1.1778888441360302e+18
- y tested = 5947637003.818383
-y predicted = 3909195777.6693263
-error 4.1552426324640707e+18
- y tested = 997516184.7000968
-y predicted = 926210903.1824828
-error 5084443172306186.0
- y tested = 6532788063.289651
-y predicted = 6907019739.597072
-error 1.4004934755186213e+17
- y tested = 1980229389.772511
-y predicted = 3303387653.397131
-error 1.7507477905981192e+18
- y tested = 5035525633.343237
-y predicted = 5294306325.451892
-error 6.696744660823448e+16
- y tested = 5026691733.102776
-y predicted = 5292697497.107924
-error 7.075906648396296e+16
- y tested = 1014996574.3865615
-y predicted = 1562998484.4759464
-error 3.0030609346161434e+17
- y tested = 7665772326.561901
-y predicted = 6550342064.722275
-error 1.2441846690276173e+18
- y tested = 3029054692.61153
-y predicted = 4480476755.556835
-error 2.106626004804406e+18
- y tested = 4062233415.93208
-y predicted = 4418744935.771265
-error 1.2710046377804578e+17
- y tested = 5822958761.806049
-y predicted = 6096747967.090193
-error 7.496052893012285e+16
- y tested = 6611133148.221605
-y predicted = 6342776406.433487
-error 7.201534086313483e+16
- y tested = 5377240292.736961
-y predicted = 3015709333.1524167
-error 5.576828473076301e+18
-error squared vector [3.6879786887586703e+18, 1.930520623503947e+18, 1.275035488244049e+17, 4.817768073151345e+18, 6.6352364256935864e+16, 1.228088320902924e+18, 1.1778888441360302e+18, 4.1552426324640707e+18, 5084443172306186.0, 1.4004934755186213e+17, 1.7507477905981192e+18, 6.696744660823448e+16, 7.075906648396296e+16, 3.0030609346161434e+17, 1.2441846690276173e+18, 2.106626004804406e+18, 1.2710046377804578e+17, 7.496052893012285e+16, 7.201534086313483e+16, 5.576828473076301e+18]
-Total loo_error 1.436348638217703e+18
-iteration 116current difference of loo_error 1.1189020525512192e+16
- getting loo error of with lamda = 0.03241946262663505, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1909118908.7867057
-error 3.6447350075687557e+18
- y tested = 5326600510.288329
-y predicted = 3939349916.7238398
-error 1.924464209345028e+18
- y tested = 5072151352.996373
-y predicted = 4705135066.939397
-error 1.3470095423105627e+17
- y tested = 7650055845.407672
-y predicted = 5469081633.374915
-error 4.756648513551905e+18
- y tested = 5789616901.049658
-y predicted = 6045878057.077031
-error 6.566978008848577e+16
- y tested = 8224428196.629629
-y predicted = 7129791485.786416
-error 1.1982295287256481e+18
- y tested = 4059018123.5159216
-y predicted = 5142777506.345476
-error 1.174534399871097e+18
- y tested = 5947637003.818383
-y predicted = 3915691992.679506
-error 4.128800528292173e+18
- y tested = 997516184.7000968
-y predicted = 912169792.9228295
-error 7284006589398806.0
- y tested = 6532788063.289651
-y predicted = 6903057616.874304
-error 1.3709954231177814e+17
- y tested = 1980229389.772511
-y predicted = 3307614661.399037
-error 1.761951659331026e+18
- y tested = 5035525633.343237
-y predicted = 5292526333.569866
-error 6.604935991697775e+16
- y tested = 5026691733.102776
-y predicted = 5293485381.680202
-error 7.117885092125506e+16
- y tested = 1014996574.3865615
-y predicted = 1551442968.1061845
-error 2.8777473333478874e+17
- y tested = 7665772326.561901
-y predicted = 6558315444.52215
-error 1.226460745577207e+18
- y tested = 3029054692.61153
-y predicted = 4489299192.078016
-error 2.1323139982221297e+18
- y tested = 4062233415.93208
-y predicted = 4429909437.245718
-error 1.3518565664902694e+17
- y tested = 5822958761.806049
-y predicted = 6101340218.730797
-error 7.749623555954502e+16
- y tested = 6611133148.221605
-y predicted = 6342832516.803977
-error 7.1985228819098024e+16
- y tested = 5377240292.736961
-y predicted = 3016959888.20246
-error 5.570923588029551e+18
-error squared vector [3.6447350075687557e+18, 1.924464209345028e+18, 1.3470095423105627e+17, 4.756648513551905e+18, 6.566978008848577e+16, 1.1982295287256481e+18, 1.174534399871097e+18, 4.128800528292173e+18, 7284006589398806.0, 1.3709954231177814e+17, 1.761951659331026e+18, 6.604935991697775e+16, 7.117885092125506e+16, 2.8777473333478874e+17, 1.226460745577207e+18, 2.1323139982221297e+18, 1.3518565664902694e+17, 7.749623555954502e+16, 7.1985228819098024e+16, 5.570923588029551e+18]
-Total loo_error 1.4286743263467968e+18
-iteration 117current difference of loo_error 3514708654606080.0
- getting loo error of with lamda = 0.03159170620735904, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1898037050.233539
-error 3.602544643742895e+18
- y tested = 5326600510.288329
-y predicted = 3941485862.965005
-error 1.918542586229617e+18
- y tested = 5072151352.996373
-y predicted = 4695289451.01858
-error 1.4202489316231946e+17
- y tested = 7650055845.407672
-y predicted = 5482849175.871869
-error 4.696784748480467e+18
- y tested = 5789616901.049658
-y predicted = 6044656356.006437
-error 6.504512358465115e+16
- y tested = 8224428196.629629
-y predicted = 7143151304.676633
-error 1.1691597170715315e+18
- y tested = 4059018123.5159216
-y predicted = 5141238532.885441
-error 1.1712010144559299e+18
- y tested = 5947637003.818383
-y predicted = 3922037038.5285845
-error 4.103055219382034e+18
- y tested = 997516184.7000968
-y predicted = 898372252.1313082
-error 9829519365204510.0
- y tested = 6532788063.289651
-y predicted = 6898943396.500497
-error 1.3406972803874563e+17
- y tested = 1980229389.772511
-y predicted = 3311928015.023047
-error 1.7734212284941676e+18
- y tested = 5035525633.343237
-y predicted = 5290675091.715981
-error 6.5101246107904424e+16
- y tested = 5026691733.102776
-y predicted = 5294249327.01825
-error 7.158706606183817e+16
- y tested = 1014996574.3865615
-y predicted = 1540073472.48812
-error 2.7570574891995453e+17
- y tested = 7665772326.561901
-y predicted = 6566213707.587883
-error 1.20902915656005e+18
- y tested = 3029054692.61153
-y predicted = 4498050400.402598
-error 2.1579483895085824e+18
- y tested = 4062233415.93208
-y predicted = 4441052845.720998
-error 1.43504160385601e+17
- y tested = 5822958761.806049
-y predicted = 6106036735.070079
-error 8.013313894727061e+16
- y tested = 6611133148.221605
-y predicted = 6342882841.036012
-error 7.1958227305165336e+16
- y tested = 5377240292.736961
-y predicted = 3018159318.4619794
-error 5.565263043186199e+18
-error squared vector [3.602544643742895e+18, 1.918542586229617e+18, 1.4202489316231946e+17, 4.696784748480467e+18, 6.504512358465115e+16, 1.1691597170715315e+18, 1.1712010144559299e+18, 4.103055219382034e+18, 9829519365204510.0, 1.3406972803874563e+17, 1.7734212284941676e+18, 6.5101246107904424e+16, 7.158706606183817e+16, 2.7570574891995453e+17, 1.20902915656005e+18, 2.1579483895085824e+18, 1.43504160385601e+17, 8.013313894727061e+16, 7.1958227305165336e+16, 5.565263043186199e+18]
-Total loo_error 1.4212954299495063e+18
-iteration 118current difference of loo_error -3864187742684416.0
- getting loo error of with lamda = 0.005906173681945615, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1473879851.2420022
-error 2.1723218156515003e+18
- y tested = 5326600510.288329
-y predicted = 4014324737.7665677
-error 1.7220677031475858e+18
- y tested = 5072151352.996373
-y predicted = 4151024710.714898
-error 8.484742911207446e+17
- y tested = 7650055845.407672
-y predicted = 6054237056.117478
-error 2.5466376082516193e+18
- y tested = 5789616901.049658
-y predicted = 6194491979.997142
-error 1.6392382955273142e+17
- y tested = 8224428196.629629
-y predicted = 7706100818.871554
-error 2.6866327053356192e+17
- y tested = 4059018123.5159216
-y predicted = 5064803694.625802
-error 1.0116046150528284e+18
- y tested = 5947637003.818383
-y predicted = 4079221106.1477113
-error 3.490977966668503e+18
- y tested = 997516184.7000968
-y predicted = 327230925.4398359
-error 4.492823287815952e+17
- y tested = 6532788063.289651
-y predicted = 6335736669.635372
-error 3.882925174109353e+16
- y tested = 1980229389.772511
-y predicted = 3694237008.2798386
-error 2.9378221163011604e+18
- y tested = 5035525633.343237
-y predicted = 5052545613.8755455
-error 289679737320163.0
- y tested = 5026691733.102776
-y predicted = 5333945746.322787
-error 9.440502863980314e+16
- y tested = 1014996574.3865615
-y predicted = 1052608901.8610929
-error 1414687178051390.5
- y tested = 7665772326.561901
-y predicted = 6941664180.13219
-error 5.2433260772587226e+17
- y tested = 3029054692.61153
-y predicted = 5004726474.875149
-error 3.9032789912327045e+18
- y tested = 4062233415.93208
-y predicted = 5168361667.678067
-error 1.2235197093106345e+18
- y tested = 5822958761.806049
-y predicted = 6686258764.846216
-error 7.452868952491521e+17
- y tested = 6611133148.221605
-y predicted = 6346391476.734857
-error 7.008815262159757e+16
- y tested = 5377240292.736961
-y predicted = 2982171490.7283177
-error 5.736354566355119e+18
-error squared vector [2.1723218156515003e+18, 1.7220677031475858e+18, 8.484742911207446e+17, 2.5466376082516193e+18, 1.6392382955273142e+17, 2.6866327053356192e+17, 1.0116046150528284e+18, 3.490977966668503e+18, 4.492823287815952e+17, 3.882925174109353e+16, 2.9378221163011604e+18, 289679737320163.0, 9.440502863980314e+16, 1414687178051390.5, 5.2433260772587226e+17, 3.9032789912327045e+18, 1.2235197093106345e+18, 7.452868952491521e+17, 7.008815262159757e+16, 5.736354566355119e+18]
-Total loo_error 1.397478755742659e+18
-iteration 119current difference of loo_error 2.381667420684723e+16
- getting loo error of with lamda = 0.030813356736891964, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1887496098.0924191
-error 3.562641519999525e+18
- y tested = 5326600510.288329
-y predicted = 3943512988.6123233
-error 1.9129310926158758e+18
- y tested = 5072151352.996373
-y predicted = 4685837579.745552
-error 1.4923833140328682e+17
- y tested = 7650055845.407672
-y predicted = 5496001173.203874
-error 4.639951530843013e+18
- y tested = 5789616901.049658
-y predicted = 6043574413.546234
-error 6.449441815344871e+16
- y tested = 8224428196.629629
-y predicted = 7155912194.439212
-error 1.1417264469369919e+18
- y tested = 4059018123.5159216
-y predicted = 5139754825.886159
-error 1.167991819850095e+18
- y tested = 5947637003.818383
-y predicted = 3928042088.6016655
-error 4.078763621569221e+18
- y tested = 997516184.7000968
-y predicted = 885230133.454914
-error 1.2608157304235834e+16
- y tested = 6532788063.289651
-y predicted = 6894814572.006123
-error 1.3106319301343754e+17
- y tested = 1980229389.772511
-y predicted = 3316187861.8438454
-error 1.7847850390991744e+18
- y tested = 5035525633.343237
-y predicted = 5288814715.275707
-error 6.415535902619366e+16
- y tested = 5026691733.102776
-y predicted = 5294967941.48223
-error 7.197212398245655e+16
- y tested = 1014996574.3865615
-y predicted = 1529230172.4743137
-error 2.6443619340227587e+17
- y tested = 7665772326.561901
-y predicted = 6573795695.484471
-error 1.192412962819213e+18
- y tested = 3029054692.61153
-y predicted = 4506463784.465393
-error 2.182737624692457e+18
- y tested = 4062233415.93208
-y predicted = 4451830599.310651
-error 1.517859652965159e+17
- y tested = 5822958761.806049
-y predicted = 6110688006.294776
-error 8.27881181340534e+16
- y tested = 6611133148.221605
-y predicted = 6342927172.464751
-error 7.1934445431686184e+16
- y tested = 5377240292.736961
-y predicted = 3019272425.7007375
-error 5.56001246197536e+18
-error squared vector [3.562641519999525e+18, 1.9129310926158758e+18, 1.4923833140328682e+17, 4.639951530843013e+18, 6.449441815344871e+16, 1.1417264469369919e+18, 1.167991819850095e+18, 4.078763621569221e+18, 1.2608157304235834e+16, 1.3106319301343754e+17, 1.7847850390991744e+18, 6.415535902619366e+16, 7.197212398245655e+16, 2.6443619340227587e+17, 1.192412962819213e+18, 2.182737624692457e+18, 1.517859652965159e+17, 8.27881181340534e+16, 7.1934445431686184e+16, 5.56001246197536e+18]
-Total loo_error 1.414421521277426e+18
-iteration 120current difference of loo_error 1.6942765534766848e+16
- getting loo error of with lamda = 0.030058593614014802, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1877161102.3983514
-error 3.5237338040445343e+18
- y tested = 5326600510.288329
-y predicted = 3945495869.92152
-error 1.9074500276427325e+18
- y tested = 5072151352.996373
-y predicted = 4676484937.131255
-error 1.565519126435485e+17
- y tested = 7650055845.407672
-y predicted = 5508950496.082679
-error 4.584332116908101e+18
- y tested = 5789616901.049658
-y predicted = 6042594143.109925
-error 6.399748500041915e+16
- y tested = 8224428196.629629
-y predicted = 7168474367.177716
-error 1.1150384899341595e+18
- y tested = 4059018123.5159216
-y predicted = 5138281041.905685
-error 1.16480844701119e+18
- y tested = 5947637003.818383
-y predicted = 3933898667.7207146
-error 4.055142086269407e+18
- y tested = 997516184.7000968
-y predicted = 872326223.4542619
-error 1.5672526396733656e+16
- y tested = 6532788063.289651
-y predicted = 6890554851.383045
-error 1.2799707466266368e+17
- y tested = 1980229389.772511
-y predicted = 3320518221.698022
-error 1.7963741529842504e+18
- y tested = 5035525633.343237
-y predicted = 5286893079.398681
-error 6.318559293643643e+16
- y tested = 5026691733.102776
-y predicted = 5295665373.798561
-error 7.234681938914554e+16
- y tested = 1014996574.3865615
-y predicted = 1518569681.1241956
-error 2.5358587382939258e+17
- y tested = 7665772326.561901
-y predicted = 6581296764.350694
-error 1.1760872450333143e+18
- y tested = 3029054692.61153
-y predicted = 4514801015.527667
-error 2.2074421360588227e+18
- y tested = 4062233415.93208
-y predicted = 4462572838.356223
-error 1.6027165314689667e+17
- y tested = 5822958761.806049
-y predicted = 6115431850.405886
-error 8.554050755512773e+16
- y tested = 6611133148.221605
-y predicted = 6342968058.2034235
-error 7.191251550445955e+16
- y tested = 5377240292.736961
-y predicted = 3020335347.4428115
-error 5.555000921152019e+18
-error squared vector [3.5237338040445343e+18, 1.9074500276427325e+18, 1.565519126435485e+17, 4.584332116908101e+18, 6.399748500041915e+16, 1.1150384899341595e+18, 1.16480844701119e+18, 4.055142086269407e+18, 1.5672526396733656e+16, 1.2799707466266368e+17, 1.7963741529842504e+18, 6.318559293643643e+16, 7.234681938914554e+16, 2.5358587382939258e+17, 1.1760872450333143e+18, 2.2074421360588227e+18, 1.6027165314689667e+17, 8.554050755512773e+16, 7.191251550445955e+16, 5.555000921152019e+18]
-Total loo_error 1.4078235694051679e+18
-iteration 121current difference of loo_error 1.03448136625088e+16
- getting loo error of with lamda = 0.029326702100921795, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1867030865.3551524
-error 3.4858042518776376e+18
- y tested = 5326600510.288329
-y predicted = 3947434708.552978
-error 1.9020983086763139e+18
- y tested = 5072151352.996373
-y predicted = 4667232225.150952
-error 1.6395950009509626e+17
- y tested = 7650055845.407672
-y predicted = 5521696260.257294
-error 4.52991452370149e+18
- y tested = 5789616901.049658
-y predicted = 6041715302.040649
-error 6.355360378221479e+16
- y tested = 8224428196.629629
-y predicted = 7180836575.028227
-error 1.0890834726766444e+18
- y tested = 4059018123.5159216
-y predicted = 5136817867.609701
-error 1.1616522883686167e+18
- y tested = 5947637003.818383
-y predicted = 3939606873.8482943
-error 4.0321850028676925e+18
- y tested = 997516184.7000968
-y predicted = 859658658.5857774
-error 1.9004697506360268e+16
- y tested = 6532788063.289651
-y predicted = 6886168591.952906
-error 1.248777980383214e+17
- y tested = 1980229389.772511
-y predicted = 3324915511.5483966
-error 1.8081807660966717e+18
- y tested = 5035525633.343237
-y predicted = 5284912340.626931
-error 6.219372976980301e+16
- y tested = 5026691733.102776
-y predicted = 5296342601.473232
-error 7.271159081294136e+16
- y tested = 1014996574.3865615
-y predicted = 1508090688.063859
-error 2.4314180494319955e+17
- y tested = 7665772326.561901
-y predicted = 6588715420.565526
-error 1.1600515787544845e+18
- y tested = 3029054692.61153
-y predicted = 4523061505.991891
-error 2.2320563584269412e+18
- y tested = 4062233415.93208
-y predicted = 4473276721.48586
-error 1.689565990405782e+17
- y tested = 5822958761.806049
-y predicted = 6120267168.482288
-error 8.839228868036392e+16
- y tested = 6611133148.221605
-y predicted = 6343006382.64709
-error 7.18919624174511e+16
- y tested = 5377240292.736961
-y predicted = 3021347763.3381033
-error 5.550229610077349e+18
-error squared vector [3.4858042518776376e+18, 1.9020983086763139e+18, 1.6395950009509626e+17, 4.52991452370149e+18, 6.355360378221479e+16, 1.0890834726766444e+18, 1.1616522883686167e+18, 4.0321850028676925e+18, 1.9004697506360268e+16, 1.248777980383214e+17, 1.8081807660966717e+18, 6.219372976980301e+16, 7.271159081294136e+16, 2.4314180494319955e+17, 1.1600515787544845e+18, 2.2320563584269412e+18, 1.689565990405782e+17, 8.839228868036392e+16, 7.18919624174511e+16, 5.550229610077349e+18]
-Total loo_error 1.4014969868305085e+18
-iteration 122current difference of loo_error 4018231087849472.0
- getting loo error of with lamda = 0.028616989118528578, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1857104053.163266
-error 3.4488354639659136e+18
- y tested = 5326600510.288329
-y predicted = 3949329752.974877
-error 1.8968747389507702e+18
- y tested = 5072151352.996373
-y predicted = 4658080055.299316
-error 1.714550395765246e+17
- y tested = 7650055845.407672
-y predicted = 5534237756.810226
-error 4.4766861840361477e+18
- y tested = 5789616901.049658
-y predicted = 6040937476.588184
-error 6.316203168901622e+16
- y tested = 8224428196.629629
-y predicted = 7192997800.550708
-error 1.0638486619555205e+18
- y tested = 4059018123.5159216
-y predicted = 5135365960.843917
-error 1.1585246669206525e+18
- y tested = 5947637003.818383
-y predicted = 3945166996.3440948
-error 4.0098861308340767e+18
- y tested = 997516184.7000968
-y predicted = 847225481.9885651
-error 2.258729532152602e+16
- y tested = 6532788063.289651
-y predicted = 6881660151.514819
-error 1.2171173394258957e+17
- y tested = 1980229389.772511
-y predicted = 3329376093.568005
-error 1.8201968283622467e+18
- y tested = 5035525633.343237
-y predicted = 5282874686.060433
-error 6.118155388009443e+16
- y tested = 5026691733.102776
-y predicted = 5297000578.7207365
-error 7.306687201931464e+16
- y tested = 1014996574.3865615
-y predicted = 1497791835.1029112
-error 2.330912637701681e+17
- y tested = 7665772326.561901
-y predicted = 6596050225.307417
-error 1.1443053739123089e+18
- y tested = 3029054692.61153
-y predicted = 4531244710.922695
-error 2.2565748511136993e+18
- y tested = 4062233415.93208
-y predicted = 4483939435.944716
-error 1.778359673148983e+17
- y tested = 5822958761.806049
-y predicted = 6125192657.706783
-error 9.134532783133568e+16
- y tested = 6611133148.221605
-y predicted = 6343042950.326376
-error 7.187235420750323e+16
- y tested = 5377240292.736961
-y predicted = 3022309446.5065928
-error 5.54569929052728e+18
-error squared vector [3.4488354639659136e+18, 1.8968747389507702e+18, 1.714550395765246e+17, 4.4766861840361477e+18, 6.316203168901622e+16, 1.0638486619555205e+18, 1.1585246669206525e+18, 4.0098861308340767e+18, 2.258729532152602e+16, 1.2171173394258957e+17, 1.8201968283622467e+18, 6.118155388009443e+16, 7.306687201931464e+16, 2.330912637701681e+17, 1.1443053739123089e+18, 2.2565748511136993e+18, 1.778359673148983e+17, 9.134532783133568e+16, 7.187235420750323e+16, 5.54569929052728e+18]
-Total loo_error 1.3954370815065795e+18
-iteration 123current difference of loo_error -2041674236079616.0
- getting loo error of with lamda = 0.006594380210326917, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0200-1100'
+--- Neighbour 0 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0200-1100'
+--- Neighbour 0 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.93355197432356 mAh) it is NOT far from the median.
+--- Median :36.93355197432356, the gap is : 10
+--- So No we don't romove this configuration '0200-1100'
+ --- remove_aberrant_points: The value [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 1, 0.0, 0, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '2002-0100'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1488009116.4407148
-error 2.2141711303626755e+18
- y tested = 5326600510.288329
-y predicted = 4012414541.5484996
-error 1.7270847604326444e+18
- y tested = 5072151352.996373
-y predicted = 4182015633.6837754
-error 7.923415987961558e+17
- y tested = 7650055845.407672
-y predicted = 6035754882.452089
-error 2.605967598999321e+18
- y tested = 5789616901.049658
-y predicted = 6172814273.977008
-error 1.468402266184226e+17
- y tested = 8224428196.629629
-y predicted = 7685039569.6682625
-error 2.9094009089526835e+17
- y tested = 4059018123.5159216
-y predicted = 5067551133.939199
-error 1.0171388331134395e+18
- y tested = 5947637003.818383
-y predicted = 4080868303.888744
-error 3.484825379036996e+18
- y tested = 997516184.7000968
-y predicted = 348830691.40070814
-error 4.2079286921707117e+17
- y tested = 6532788063.289651
-y predicted = 6385543179.761817
-error 2.1681055725125384e+16
- y tested = 1980229389.772511
-y predicted = 3671719274.7395587
-error 2.861138030945836e+18
- y tested = 5035525633.343237
-y predicted = 5071772469.791753
-error 1313833152525460.2
- y tested = 5026691733.102776
-y predicted = 5330857967.518607
-error 9.25170981587066e+16
- y tested = 1014996574.3865615
-y predicted = 1071097694.7359747
-error 3147335704459339.0
- y tested = 7665772326.561901
-y predicted = 6927258850.749447
-error 5.454021539565924e+17
- y tested = 3029054692.61153
-y predicted = 4975407285.005857
-error 3.78828841392012e+18
- y tested = 4062233415.93208
-y predicted = 5124077945.725048
-error 1.1275138054512499e+18
- y tested = 5822958761.806049
-y predicted = 6635532457.226673
-error 6.602760104895287e+17
- y tested = 6611133148.221605
-y predicted = 6346878759.493867
-error 6.9830381961870664e+16
- y tested = 5377240292.736961
-y predicted = 2990324307.9791274
-error 5.697367918292461e+18
-error squared vector [2.2141711303626755e+18, 1.7270847604326444e+18, 7.923415987961558e+17, 2.605967598999321e+18, 1.468402266184226e+17, 2.9094009089526835e+17, 1.0171388331134395e+18, 3.484825379036996e+18, 4.2079286921707117e+17, 2.1681055725125384e+16, 2.861138030945836e+18, 1313833152525460.2, 9.25170981587066e+16, 3147335704459339.0, 5.454021539565924e+17, 3.78828841392012e+18, 1.1275138054512499e+18, 6.602760104895287e+17, 6.9830381961870664e+16, 5.697367918292461e+18]
-Total loo_error 1.3784289262615235e+18
-iteration 124current difference of loo_error 1.7008155245056e+16
- getting loo error of with lamda = 0.02794963733343156, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1847675338.5414782
-error 3.41390415634642e+18
- y tested = 5326600510.288329
-y predicted = 3951124988.5452337
-error 1.8919329109144404e+18
- y tested = 5072151352.996373
-y predicted = 4649305850.22779
-error 1.78798319211616e+17
- y tested = 7650055845.407672
-y predicted = 5546198034.618376
-error 4.42621768801913e+18
- y tested = 5789616901.049658
-y predicted = 6040279434.214056
-error 6.283170553239302e+16
- y tested = 8224428196.629629
-y predicted = 7204592398.8223
-error 1.0400650544893116e+18
- y tested = 4059018123.5159216
-y predicted = 5133970061.765172
-error 1.1555216695458202e+18
- y tested = 5947637003.818383
-y predicted = 3950415216.620888
-error 3.988894867256356e+18
- y tested = 997516184.7000968
-y predicted = 835396498.216984
-error 2.628279274538279e+16
- y tested = 6532788063.289651
-y predicted = 6877177904.083035
-error 1.1860436244169275e+17
- y tested = 1980229389.772511
-y predicted = 3333756389.935033
-error 1.8320353401689554e+18
- y tested = 5035525633.343237
-y predicted = 5280847483.390226
-error 6.0182810110477576e+16
- y tested = 5026691733.102776
-y predicted = 5297620824.036666
-error 7.340257231426422e+16
- y tested = 1014996574.3865615
-y predicted = 1487980358.9748802
-error 2.2371366048348906e+17
- y tested = 7665772326.561901
-y predicted = 6603078087.899457
-error 1.1293190448863517e+18
- y tested = 3029054692.61153
-y predicted = 4539101970.626204
-error 2.2802427818395254e+18
- y tested = 4062233415.93208
-y predicted = 4494232252.8620615
-error 1.8662299510885693e+17
- y tested = 5822958761.806049
-y predicted = 6130051279.146499
-error 9.430581420649418e+16
- y tested = 6611133148.221605
-y predicted = 6343077404.189969
-error 7.185388190835409e+16
- y tested = 5377240292.736961
-y predicted = 3023193004.1966743
-error 5.541538636683877e+18
-error squared vector [3.41390415634642e+18, 1.8919329109144404e+18, 1.78798319211616e+17, 4.42621768801913e+18, 6.283170553239302e+16, 1.0400650544893116e+18, 1.1555216695458202e+18, 3.988894867256356e+18, 2.628279274538279e+16, 1.1860436244169275e+17, 1.8320353401689554e+18, 6.0182810110477576e+16, 7.340257231426422e+16, 2.2371366048348906e+17, 1.1293190448863517e+18, 2.2802427818395254e+18, 1.8662299510885693e+17, 9.430581420649418e+16, 7.185388190835409e+16, 5.541538636683877e+18]
-Total loo_error 1.3898135532106604e+18
-iteration 125current difference of loo_error 1.1384626949136896e+16
- getting loo error of with lamda = 0.027302508329701117, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1838443692.2182643
-error 3.3798752091507174e+18
- y tested = 5326600510.288329
-y predicted = 3952877995.4526024
-error 1.8871135477665935e+18
- y tested = 5072151352.996373
-y predicted = 4640635287.574659
-error 1.862061147170368e+17
- y tested = 7650055845.407672
-y predicted = 5557954365.420772
-error 4.3768886025633787e+18
- y tested = 5789616901.049658
-y predicted = 6039715575.140262
-error 6.254934678187807e+16
- y tested = 8224428196.629629
-y predicted = 7215986060.059979
-error 1.0169555428091601e+18
- y tested = 4059018123.5159216
-y predicted = 5132587210.598569
-error 1.1525505847394688e+18
- y tested = 5947637003.818383
-y predicted = 3955520514.6384854
-error 3.968528106462442e+18
- y tested = 997516184.7000968
-y predicted = 823794898.5940247
-error 3.0179085246347788e+16
- y tested = 6532788063.289651
-y predicted = 6872593397.6318
-error 1.1546766524737952e+17
- y tested = 1980229389.772511
-y predicted = 3338185004.4754143
-error 1.8440434515031398e+18
- y tested = 5035525633.343237
-y predicted = 5278772947.056945
-error 5.916925562893504e+16
- y tested = 5026691733.102776
-y predicted = 5298224110.264148
-error 7.372983184690568e+16
- y tested = 1014996574.3865615
-y predicted = 1478344661.4331863
-error 2.1469144976976656e+17
- y tested = 7665772326.561901
-y predicted = 6610018046.278721
-error 1.1146171003362559e+18
- y tested = 3029054692.61153
-y predicted = 4546878284.86812
-error 2.3037884572107003e+18
- y tested = 4062233415.93208
-y predicted = 4504471453.766797
-error 1.9557448210790083e+17
- y tested = 5822958761.806049
-y predicted = 6134986882.108194
-error 9.736154785928987e+16
- y tested = 6611133148.221605
-y predicted = 6343111454.053639
-error 7.183562854466664e+16
- y tested = 5377240292.736961
-y predicted = 3024027951.583646
-error 5.537608322556269e+18
-error squared vector [3.3798752091507174e+18, 1.8871135477665935e+18, 1.862061147170368e+17, 4.3768886025633787e+18, 6.254934678187807e+16, 1.0169555428091601e+18, 1.1525505847394688e+18, 3.968528106462442e+18, 3.0179085246347788e+16, 1.1546766524737952e+17, 1.8440434515031398e+18, 5.916925562893504e+16, 7.372983184690568e+16, 2.1469144976976656e+17, 1.1146171003362559e+18, 2.3037884572107003e+18, 1.9557448210790083e+17, 9.736154785928987e+16, 7.183562854466664e+16, 5.537608322556269e+18]
-Total loo_error 1.3844366666424115e+18
-iteration 126current difference of loo_error 6007740380888064.0
- getting loo error of with lamda = 0.026674989295780688, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1829407282.8261082
-error 3.3467310061523036e+18
- y tested = 5326600510.288329
-y predicted = 3954589179.6208777
-error 1.8824150914798707e+18
- y tested = 5072151352.996373
-y predicted = 4632068671.7267
-error 1.936727663535049e+17
- y tested = 7650055845.407672
-y predicted = 5569506787.886215
-error 4.328684380753422e+18
- y tested = 5789616901.049658
-y predicted = 6039244843.360797
-error 6.231410958249339e+16
- y tested = 8224428196.629629
-y predicted = 7227178686.600535
-error 9.945065852532676e+17
- y tested = 4059018123.5159216
-y predicted = 5131217933.303399
-error 1.149612432108303e+18
- y tested = 5947637003.818383
-y predicted = 3960483884.84511
-error 3.948777518245208e+18
- y tested = 997516184.7000968
-y predicted = 812418383.7333508
-error 3.426119592272515e+16
- y tested = 6532788063.289651
-y predicted = 6867911026.062344
-error 1.1230740017754757e+17
- y tested = 1980229389.772511
-y predicted = 3342658245.575714
-error 1.8562123871252252e+18
- y tested = 5035525633.343237
-y predicted = 5276653325.89862
-error 5.8142564117083176e+16
- y tested = 5026691733.102776
-y predicted = 5298811265.591159
-error 7.404903996169629e+16
- y tested = 1014996574.3865615
-y predicted = 1468883183.547207
-error 2.0601305397534867e+17
- y tested = 7665772326.561901
-y predicted = 6616869000.830829
-error 1.1001981867297042e+18
- y tested = 3029054692.61153
-y predicted = 4554573254.500629
-error 2.3272068826681866e+18
- y tested = 4062233415.93208
-y predicted = 4514654412.125585
-error 2.046847577967233e+17
- y tested = 5822958761.806049
-y predicted = 6139997398.543108
-error 1.0051349718409262e+17
- y tested = 6611133148.221605
-y predicted = 6343145630.031336
-error 7.181730990578001e+16
- y tested = 5377240292.736961
-y predicted = 3024814438.1678047
-error 5.533907401245427e+18
-error squared vector [3.3467310061523036e+18, 1.8824150914798707e+18, 1.936727663535049e+17, 4.328684380753422e+18, 6.231410958249339e+16, 9.945065852532676e+17, 1.149612432108303e+18, 3.948777518245208e+18, 3.426119592272515e+16, 1.1230740017754757e+17, 1.8562123871252252e+18, 5.8142564117083176e+16, 7.404903996169629e+16, 2.0601305397534867e+17, 1.1001981867297042e+18, 2.3272068826681866e+18, 2.046847577967233e+17, 1.0051349718409262e+17, 7.181730990578001e+16, 5.533907401245427e+18]
-Total loo_error 1.3793013783368957e+18
-iteration 127current difference of loo_error 872452075372288.0
- getting loo error of with lamda = 0.026066485990160877, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1820564176.6067529
-error 3.314453920840397e+18
- y tested = 5326600510.288329
-y predicted = 3956258980.151639
-error 1.8778359092173652e+18
- y tested = 5072151352.996373
-y predicted = 4623606239.031456
-error 2.0119271926180054e+17
- y tested = 7650055845.407672
-y predicted = 5580855493.95738
-error 4.2815900944420106e+18
- y tested = 5789616901.049658
-y predicted = 6038866050.953709
-error 6.2125138727892e+16
- y tested = 8224428196.629629
-y predicted = 7238170377.933525
-error 9.727044849391972e+17
- y tested = 4059018123.5159216
-y predicted = 5129862728.537767
-error 1.146708168104393e+18
- y tested = 5947637003.818383
-y predicted = 3965306469.841247
-error 3.9296343459380777e+18
- y tested = 997516184.7000968
-y predicted = 801264588.6932782
-error 3.851468893522356e+16
- y tested = 6532788063.289651
-y predicted = 6863135175.599247
-error 1.0912921461128888e+17
- y tested = 1980229389.772511
-y predicted = 3347172405.9314137
-error 1.868533209425598e+18
- y tested = 5035525633.343237
-y predicted = 5274490878.351292
-error 5.7104388321759624e+16
- y tested = 5026691733.102776
-y predicted = 5299383091.082128
-error 7.43605767166231e+16
- y tested = 1014996574.3865615
-y predicted = 1459594331.515438
-error 1.9766716564402752e+17
- y tested = 7665772326.561901
-y predicted = 6623629920.146312
-error 1.0860607952496754e+18
- y tested = 3029054692.61153
-y predicted = 4562186512.682665
-error 2.350493177714631e+18
- y tested = 4062233415.93208
-y predicted = 4524778543.095555
-error 2.1394799466267574e+17
- y tested = 5822958761.806049
-y predicted = 6145080603.884735
-error 1.0376248114416578e+17
- y tested = 6611133148.221605
-y predicted = 6343180398.920476
-error 7.179867585803387e+16
- y tested = 5377240292.736961
-y predicted = 3025552692.050594
-error 5.530434571222004e+18
-error squared vector [3.314453920840397e+18, 1.8778359092173652e+18, 2.0119271926180054e+17, 4.2815900944420106e+18, 6.2125138727892e+16, 9.727044849391972e+17, 1.146708168104393e+18, 3.9296343459380777e+18, 3.851468893522356e+16, 1.0912921461128888e+17, 1.868533209425598e+18, 5.7104388321759624e+16, 7.43605767166231e+16, 1.9766716564402752e+17, 1.0860607952496754e+18, 2.350493177714631e+18, 2.1394799466267574e+17, 1.0376248114416578e+17, 7.179867585803387e+16, 5.530434571222004e+18]
-Total loo_error 1.374402586048842e+18
-iteration 128current difference of loo_error -4026340212681472.0
- getting loo error of with lamda = 0.007184444021837037, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1499900881.6338902
-error 2.2497026544761377e+18
- y tested = 5326600510.288329
-y predicted = 4010769720.7612443
-error 1.7314106666674714e+18
- y tested = 5072151352.996373
-y predicted = 4206526905.446959
-error 7.493056841952284e+17
- y tested = 7650055845.407672
-y predicted = 6019723582.070173
-error 2.657983288879171e+18
- y tested = 5789616901.049658
-y predicted = 6156740636.683075
-error 1.3477983726543515e+17
- y tested = 8224428196.629629
-y predicted = 7667517935.838279
-error 3.1014903857468986e+17
- y tested = 4059018123.5159216
-y predicted = 5069942470.344322
-error 1.0219680350104284e+18
- y tested = 5947637003.818383
-y predicted = 4081480052.45839
-error 3.4825417671092234e+18
- y tested = 997516184.7000968
-y predicted = 366846333.39013326
-error 3.977444613513316e+17
- y tested = 6532788063.289651
-y predicted = 6423666207.262103
-error 1.1907579462896878e+16
- y tested = 1980229389.772511
-y predicted = 3653156600.7847033
-error 2.798685453345032e+18
- y tested = 5035525633.343237
-y predicted = 5086724492.348676
-error 2621323163458802.0
- y tested = 5026691733.102776
-y predicted = 5328520475.876745
-error 9.110058996451514e+16
- y tested = 1014996574.3865615
-y predicted = 1086665625.275841
-error 5136452855370133.0
- y tested = 7665772326.561901
-y predicted = 6915016847.179905
-error 5.636337898220909e+17
- y tested = 3029054692.61153
-y predicted = 4952118835.329117
-error 3.6981756970061276e+18
- y tested = 4062233415.93208
-y predicted = 5088954532.889012
-error 1.0541562520052911e+18
- y tested = 5822958761.806049
-y predicted = 6596632869.584739
-error 5.985716250471511e+17
- y tested = 6611133148.221605
-y predicted = 6347078223.508275
-error 6.972500326536252e+16
- y tested = 5377240292.736961
-y predicted = 2996344723.924343
-error 5.668663709591561e+18
-error squared vector [2.2497026544761377e+18, 1.7314106666674714e+18, 7.493056841952284e+17, 2.657983288879171e+18, 1.3477983726543515e+17, 3.1014903857468986e+17, 1.0219680350104284e+18, 3.4825417671092234e+18, 3.977444613513316e+17, 1.1907579462896878e+16, 2.798685453345032e+18, 2621323163458802.0, 9.110058996451514e+16, 5136452855370133.0, 5.636337898220909e+17, 3.6981756970061276e+18, 1.0541562520052911e+18, 5.985716250471511e+17, 6.972500326536252e+16, 5.668663709591561e+18]
-Total loo_error 1.3648981454528988e+18
-iteration 129current difference of loo_error 9504440595943168.0
- getting loo error of with lamda = 0.02549430290021167, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1812175639.1249206
-error 3.2839805467357855e+18
- y tested = 5326600510.288329
-y predicted = 3957838368.217383
-error 1.8735098015666452e+18
- y tested = 5072151352.996373
-y predicted = 4615503695.634435
-error 2.0852708297414637e+17
- y tested = 7650055845.407672
-y predicted = 5591661026.517478
-error 4.236989230433994e+18
- y tested = 5789616901.049658
-y predicted = 6038585411.6276045
-error 6.198531925940114e+16
- y tested = 8224428196.629629
-y predicted = 7248632483.249157
-error 9.521772742517046e+17
- y tested = 4059018123.5159216
-y predicted = 5128563084.873808
-error 1.1439264243660425e+18
- y tested = 5947637003.818383
-y predicted = 3969847569.1590767
-error 3.9116510478499794e+18
- y tested = 997516184.7000968
-y predicted = 790664137.5698702
-error 4.278776940196549e+16
- y tested = 6532788063.289651
-y predicted = 6858421152.893274
-error 1.0603690904480142e+17
- y tested = 1980229389.772511
-y predicted = 3351583253.0445204
-error 1.880611418311065e+18
- y tested = 5035525633.343237
-y predicted = 5272356215.033701
-error 5.608872442384355e+16
- y tested = 5026691733.102776
-y predicted = 5299923428.415712
-error 7.465555932358152e+16
- y tested = 1014996574.3865615
-y predicted = 1450754406.9756486
-error 1.8988488866273888e+17
- y tested = 7665772326.561901
-y predicted = 6630096044.472547
-error 1.0726253612824283e+18
- y tested = 3029054692.61153
-y predicted = 4569487292.493292
-error 2.3729325947784847e+18
- y tested = 4062233415.93208
-y predicted = 4534532718.809517
-error 2.230666314985131e+17
- y tested = 5822958761.806049
-y predicted = 6150074581.4414015
-error 1.0700475945570822e+17
- y tested = 6611133148.221605
-y predicted = 6343215048.59978
-error 7.1780108104970264e+16
- y tested = 5377240292.736961
-y predicted = 3026222494.0999107
-error 5.527284689508204e+18
-error squared vector [3.2839805467357855e+18, 1.8735098015666452e+18, 2.0852708297414637e+17, 4.236989230433994e+18, 6.198531925940114e+16, 9.521772742517046e+17, 1.1439264243660425e+18, 3.9116510478499794e+18, 4.278776940196549e+16, 1.0603690904480142e+17, 1.880611418311065e+18, 5.608872442384355e+16, 7.465555932358152e+16, 1.8988488866273888e+17, 1.0726253612824283e+18, 2.3729325947784847e+18, 2.230666314985131e+17, 1.0700475945570822e+17, 7.1780108104970264e+16, 5.527284689508204e+18]
-Total loo_error 1.3698753070617e+18
-iteration 130current difference of loo_error 4977161608801280.0
- getting loo error of with lamda = 0.024939458691776075, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1803972660.3167884
-error 3.254317358869769e+18
- y tested = 5326600510.288329
-y predicted = 3959378311.843258
-error 1.8692965399209738e+18
- y tested = 5072151352.996373
-y predicted = 4607506930.064752
-error 2.158944397614596e+17
- y tested = 7650055845.407672
-y predicted = 5602265838.863134
-error 4.193443910903677e+18
- y tested = 5789616901.049658
-y predicted = 6038388757.635098
-error 6.188743662896704e+16
- y tested = 8224428196.629629
-y predicted = 7258896748.177441
-error 9.322509779501811e+17
- y tested = 4059018123.5159216
-y predicted = 5127278737.952033
-error 1.1411807403554184e+18
- y tested = 5947637003.818383
-y predicted = 3974254728.304229
-error 3.8942376053134223e+18
- y tested = 997516184.7000968
-y predicted = 780278264.4265624
-error 4.71923140047705e+16
- y tested = 6532788063.289651
-y predicted = 6853632043.743485
-error 1.0294085979346056e+17
- y tested = 1980229389.772511
-y predicted = 3356021382.6415043
-error 1.892803607642436e+18
- y tested = 5035525633.343237
-y predicted = 5270187612.708029
-error 5.506624455940201e+16
- y tested = 5026691733.102776
-y predicted = 5300450269.732798
-error 7.494373637781112e+16
- y tested = 1014996574.3865615
-y predicted = 1442081876.7468596
-error 1.824018554921872e+17
- y tested = 7665772326.561901
-y predicted = 6636469787.366221
-error 1.0594637171946737e+18
- y tested = 3029054692.61153
-y predicted = 4576703813.327727
-error 2.395217800853619e+18
- y tested = 4062233415.93208
-y predicted = 4544217689.196001
-error 2.3230883967375034e+17
- y tested = 5822958761.806049
-y predicted = 6155127443.400504
-error 1.1033603303219827e+17
- y tested = 6611133148.221605
-y predicted = 6343250921.2188635
-error 7.17608875439485e+16
- y tested = 5377240292.736961
-y predicted = 3026847033.6492963
-error 5.524348472364735e+18
-error squared vector [3.254317358869769e+18, 1.8692965399209738e+18, 2.158944397614596e+17, 4.193443910903677e+18, 6.188743662896704e+16, 9.322509779501811e+17, 1.1411807403554184e+18, 3.8942376053134223e+18, 4.71923140047705e+16, 1.0294085979346056e+17, 1.892803607642436e+18, 5.506624455940201e+16, 7.494373637781112e+16, 1.824018554921872e+17, 1.0594637171946737e+18, 2.395217800853619e+18, 2.3230883967375034e+17, 1.1033603303219827e+17, 7.17608875439485e+16, 5.524348472364735e+18]
-Total loo_error 1.365564668911843e+18
-iteration 131current difference of loo_error 666523458944256.0
- getting loo error of with lamda = 0.024401427944202164, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1795952956.9327643
-error 3.2254470232162145e+18
- y tested = 5326600510.288329
-y predicted = 3960879353.03563
-error 1.865194279367651e+18
- y tested = 5072151352.996373
-y predicted = 4599615934.192084
-error 2.2328972202454467e+17
- y tested = 7650055845.407672
-y predicted = 5612670749.6282215
-error 4.15093802850424e+18
- y tested = 5789616901.049658
-y predicted = 6038274456.20757
-error 6.183057973711018e+16
- y tested = 8224428196.629629
-y predicted = 7268964014.677295
-error 9.129118029938436e+17
- y tested = 4059018123.5159216
-y predicted = 5126010063.649178
-error 1.1384718003093297e+18
- y tested = 5947637003.818383
-y predicted = 3978529593.595075
-error 3.8773839929963433e+18
- y tested = 997516184.7000968
-y predicted = 770104369.9657983
-error 5.171613348074694e+16
- y tested = 6532788063.289651
-y predicted = 6848772165.726952
-error 9.984595299310653e+16
- y tested = 1980229389.772511
-y predicted = 3360483209.136634
-error 1.9051006058692488e+18
- y tested = 5035525633.343237
-y predicted = 5267987292.886023
-error 5.403842315738598e+16
- y tested = 5026691733.102776
-y predicted = 5300964289.146534
-error 7.522543499877659e+16
- y tested = 1014996574.3865615
-y predicted = 1433574993.8988833
-error 1.7520789328143328e+17
- y tested = 7665772326.561901
-y predicted = 6642750477.699577
-error 1.0465737032496872e+18
- y tested = 3029054692.61153
-y predicted = 4583835841.677817
-error 2.4173444214918856e+18
- y tested = 4062233415.93208
-y predicted = 4553831134.63098
-error 2.4166831702996256e+17
- y tested = 5822958761.806049
-y predicted = 6160236469.657766
-error 1.1375625221370816e+17
- y tested = 6611133148.221605
-y predicted = 6343288282.157404
-error 7.174087227694996e+16
- y tested = 5377240292.736961
-y predicted = 3027426826.2329354
-error 5.521623327363667e+18
-error squared vector [3.2254470232162145e+18, 1.865194279367651e+18, 2.2328972202454467e+17, 4.15093802850424e+18, 6.183057973711018e+16, 9.129118029938436e+17, 1.1384718003093297e+18, 3.8773839929963433e+18, 5.171613348074694e+16, 9.984595299310653e+16, 1.9051006058692488e+18, 5.403842315738598e+16, 7.522543499877659e+16, 1.7520789328143328e+17, 1.0465737032496872e+18, 2.4173444214918856e+18, 2.4166831702996256e+17, 1.1375625221370816e+17, 7.174087227694996e+16, 5.521623327363667e+18]
-Total loo_error 1.3614654283277919e+18
-iteration 132current difference of loo_error -3432717125106944.0
- getting loo error of with lamda = 0.0077061708073632535, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1510265781.761982
-error 2.2809027313094198e+18
- y tested = 5326600510.288329
-y predicted = 4009306574.1246295
-error 1.7352633142536532e+18
- y tested = 5072151352.996373
-y predicted = 4226842983.6833873
-error 7.145462392305793e+17
- y tested = 7650055845.407672
-y predicted = 6005493448.490685
-error 2.7045854773533435e+18
- y tested = 5789616901.049658
-y predicted = 6144159531.645592
-error 1.2570047690988485e+17
- y tested = 8224428196.629629
-y predicted = 7652387085.842273
-error 3.272310324308325e+17
- y tested = 4059018123.5159216
-y predicted = 5072066436.317277
-error 1.0262668840696727e+18
- y tested = 5947637003.818383
-y predicted = 4081475996.608847
-error 3.48255690482931e+18
- y tested = 997516184.7000968
-y predicted = 382411892.4629608
-error 3.7835329032854816e+17
- y tested = 6532788063.289651
-y predicted = 6454362081.187834
-error 6150634668634541.0
- y tested = 1980229389.772511
-y predicted = 3637361627.190299
-error 2.746087252289284e+18
- y tested = 5035525633.343237
-y predicted = 5098915562.556867
-error 4018283125708987.0
- y tested = 5026691733.102776
-y predicted = 5326656419.88177
-error 8.997881331442032e+16
- y tested = 1014996574.3865615
-y predicted = 1100189881.7477615
-error 7257899619139890.0
- y tested = 7665772326.561901
-y predicted = 6904313914.143867
-error 5.798189138421935e+17
- y tested = 3029054692.61153
-y predicted = 4932770738.124816
-error 3.624134781944744e+18
- y tested = 4062233415.93208
-y predicted = 5059813045.884297
-error 9.951651180956033e+17
- y tested = 5822958761.806049
-y predicted = 6565271061.362567
-error 5.510275500728851e+17
- y tested = 6611133148.221605
-y predicted = 6347134664.183232
-error 6.969519957455908e+16
- y tested = 5377240292.736961
-y predicted = 3001023068.8465734
-error 5.646408295113342e+18
-error squared vector [2.2809027313094198e+18, 1.7352633142536532e+18, 7.145462392305793e+17, 2.7045854773533435e+18, 1.2570047690988485e+17, 3.272310324308325e+17, 1.0262668840696727e+18, 3.48255690482931e+18, 3.7835329032854816e+17, 6150634668634541.0, 2.746087252289284e+18, 4018283125708987.0, 8.997881331442032e+16, 7257899619139890.0, 5.798189138421935e+17, 3.624134781944744e+18, 9.951651180956033e+17, 5.510275500728851e+17, 6.969519957455908e+16, 5.646408295113342e+18]
-Total loo_error 1.354757454618788e+18
-iteration 133current difference of loo_error 6707973709003776.0
- getting loo error of with lamda = 0.023895511061267652, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1788352619.4770305
-error 3.198205091292298e+18
- y tested = 5326600510.288329
-y predicted = 3962297628.84897
-error 1.861322352303738e+18
- y tested = 5072151352.996373
-y predicted = 4592068545.577347
-error 2.3047950197933395e+17
- y tested = 7650055845.407672
-y predicted = 5622565730.465395
-error 4.1107161661886474e+18
- y tested = 5789616901.049658
-y predicted = 6038240633.669634
-error 6.1813760421889336e+16
- y tested = 8224428196.629629
-y predicted = 7278534557.496902
-error 8.94714776551753e+17
- y tested = 4059018123.5159216
-y predicted = 5124795701.144912
-error 1.1358818449767182e+18
- y tested = 5947637003.818383
-y predicted = 3982548367.5146246
-error 3.861573348530166e+18
- y tested = 997516184.7000968
-y predicted = 760443223.6959661
-error 5.620358883926609e+16
- y tested = 6532788063.289651
-y predicted = 6843998295.351294
-error 9.685180853986147e+16
- y tested = 1980229389.772511
-y predicted = 3364827040.707468
-error 1.9171106549746012e+18
- y tested = 5035525633.343237
-y predicted = 5265826473.899693
-error 5.303847716100999e+16
- y tested = 5026691733.102776
-y predicted = 5301450871.602793
-error 7.549258418927162e+16
- y tested = 1014996574.3865615
-y predicted = 1425486188.3650942
-error 1.6850172318424477e+17
- y tested = 7665772326.561901
-y predicted = 6648748608.990263
-error 1.0343372421032351e+18
- y tested = 3029054692.61153
-y predicted = 4590667662.496318
-error 2.438635067712388e+18
- y tested = 4062233415.93208
-y predicted = 4563078477.287865
-error 2.5084577548447994e+17
- y tested = 5822958761.806049
-y predicted = 6165239276.997629
-error 1.171559510798133e+17
- y tested = 6611133148.221605
-y predicted = 6343326121.3852215
-error 7.17206036229436e+16
- y tested = 5377240292.736961
-y predicted = 3027946625.336471
-error 5.519180735688046e+18
-error squared vector [3.198205091292298e+18, 1.861322352303738e+18, 2.3047950197933395e+17, 4.1107161661886474e+18, 6.1813760421889336e+16, 8.94714776551753e+17, 1.1358818449767182e+18, 3.861573348530166e+18, 5.620358883926609e+16, 9.685180853986147e+16, 1.9171106549746012e+18, 5.303847716100999e+16, 7.549258418927162e+16, 1.6850172318424477e+17, 1.0343372421032351e+18, 2.438635067712388e+18, 2.5084577548447994e+17, 1.171559510798133e+17, 7.17206036229436e+16, 5.519180735688046e+18]
-Total loo_error 1.3576890527411853e+18
-iteration 134current difference of loo_error 2931598122397184.0
- getting loo error of with lamda = 0.023404924992967518, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2002-0100'
+--- Neighbour 0 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2002-0100'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 50 in the X datas point
+--------------
+ --- Configuration: 1000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6448575832.027497
+ --- Energy: 42.80059101405426
+ --- Workload: 276003000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (42.016301664202444 mAh) is far from the median.
+--- Median :30.07061597004587, the gap is : 10
+--- So yes we remove this configuration '2002-0100'
+--- remove_aberrant_points: The value [1.0, 1, 0, 0, 1, 0.0, 0, 1, 0, 0] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1]
+--- Computing the list of the 10 first neighbours of '0000-0001'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1780927103.0298896
-error 3.171701346009614e+18
- y tested = 5326600510.288329
-y predicted = 3963679106.625902
-error 1.8575547525611602e+18
- y tested = 5072151352.996373
-y predicted = 4584627472.436341
-error 2.3767953411631226e+17
- y tested = 7650055845.407672
-y predicted = 5632265543.901427
-error 4.071477700852662e+18
- y tested = 5789616901.049658
-y predicted = 6038280833.986158
-error 6.183375154344844e+16
- y tested = 8224428196.629629
-y predicted = 7287913089.927371
-error 8.770605450815419e+17
- y tested = 4059018123.5159216
-y predicted = 5123597831.494699
-error 1.1333299546401779e+18
- y tested = 5947637003.818383
-y predicted = 3986442503.620762
-error 3.846283867605398e+18
- y tested = 997516184.7000968
-y predicted = 750985295.1796176
-error 6.077747948775872e+16
- y tested = 6532788063.289651
-y predicted = 6839170534.499712
-error 9.38702186647839e+16
- y tested = 1980229389.772511
-y predicted = 3369182373.819917
-error 1.9291903918941942e+18
- y tested = 5035525633.343237
-y predicted = 5263642050.1178
-error 5.2037099602066056e+16
- y tested = 5026691733.102776
-y predicted = 5301926127.064434
-error 7.575397161944142e+16
- y tested = 1014996574.3865615
-y predicted = 1417557247.4855194
-error 1.6205509552588605e+17
- y tested = 7665772326.561901
-y predicted = 6654652652.681627
-error 1.0223629949077513e+18
- y tested = 3029054692.61153
-y predicted = 4597413302.641053
-error 2.4597487296537385e+18
- y tested = 4062233415.93208
-y predicted = 4572245712.785453
-error 2.6011254294165312e+17
- y tested = 5822958761.806049
-y predicted = 6170284664.28195
-error 1.2063528253069885e+17
- y tested = 6611133148.221605
-y predicted = 6343365686.221365
-error 7.169941370605014e+16
- y tested = 5377240292.736961
-y predicted = 3028425065.911515
-error 5.516932969767072e+18
-error squared vector [3.171701346009614e+18, 1.8575547525611602e+18, 2.3767953411631226e+17, 4.071477700852662e+18, 6.183375154344844e+16, 8.770605450815419e+17, 1.1333299546401779e+18, 3.846283867605398e+18, 6.077747948775872e+16, 9.38702186647839e+16, 1.9291903918941942e+18, 5.2037099602066056e+16, 7.575397161944142e+16, 1.6205509552588605e+17, 1.0223629949077513e+18, 2.4597487296537385e+18, 2.6011254294165312e+17, 1.2063528253069885e+17, 7.169941370605014e+16, 5.516932969767072e+18]
-Total loo_error 1.3541048821355707e+18
-iteration 135current difference of loo_error -652572483217408.0
- getting loo error of with lamda = 0.008181890631169444, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1519605928.2842877
-error 2.3092021770234844e+18
- y tested = 5326600510.288329
-y predicted = 4007964166.413383
-error 1.738801807387885e+18
- y tested = 5072151352.996373
-y predicted = 4244391615.4411707
-error 6.851861831174577e+17
- y tested = 7650055845.407672
-y predicted = 5992518597.655993
-error 2.747429727684209e+18
- y tested = 5789616901.049658
-y predicted = 6133846004.178035
-error 1.1849367544056678e+17
- y tested = 8224428196.629629
-y predicted = 7638857661.252522
-error 3.4289285190183136e+17
- y tested = 4059018123.5159216
-y predicted = 5074001235.041295
-error 1.0301907166817286e+18
- y tested = 5947637003.818383
-y predicted = 4081073123.854663
-error 3.4840607179852175e+18
- y tested = 997516184.7000968
-y predicted = 396323884.8802822
-error 3.6143218136263795e+17
- y tested = 6532788063.289651
-y predicted = 6480189355.193952
-error 2766624093336584.0
- y tested = 1980229389.772511
-y predicted = 3623477980.8477592
-error 2.7002659320707886e+18
- y tested = 5035525633.343237
-y predicted = 5109280107.882401
-error 5439722514548271.0
- y tested = 5026691733.102776
-y predicted = 5325100838.600689
-error 8.904799424406478e+16
- y tested = 1014996574.3865615
-y predicted = 1112316921.1348739
-error 9471249891211750.0
- y tested = 7665772326.561901
-y predicted = 6894672723.049889
-error 5.945945985363828e+17
- y tested = 3029054692.61153
-y predicted = 4916037296.678176
-error 3.5607033480501407e+18
- y tested = 4062233415.93208
-y predicted = 5034642780.443053
-error 9.455799721886353e+17
- y tested = 5822958761.806049
-y predicted = 6538858636.971883
-error 5.1251263126245594e+17
- y tested = 6611133148.221605
-y predicted = 6347113725.866736
-error 6.970625538059864e+16
- y tested = 5377240292.736961
-y predicted = 3004822863.574405
-error 5.628364458194272e+18
-error squared vector [2.3092021770234844e+18, 1.738801807387885e+18, 6.851861831174577e+17, 2.747429727684209e+18, 1.1849367544056678e+17, 3.4289285190183136e+17, 1.0301907166817286e+18, 3.4840607179852175e+18, 3.6143218136263795e+17, 2766624093336584.0, 2.7002659320707886e+18, 5439722514548271.0, 8.904799424406478e+16, 9471249891211750.0, 5.945945985363828e+17, 3.5607033480501407e+18, 9.455799721886353e+17, 5.1251263126245594e+17, 6.970625538059864e+16, 5.628364458194272e+18]
-Total loo_error 1.3468071412505728e+18
-iteration 136current difference of loo_error 7297740884997888.0
- getting loo error of with lamda = 0.02294362092139788, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1773894446.3791397
-error 3.1467015065991055e+18
- y tested = 5326600510.288329
-y predicted = 3964983547.001877
-error 1.85400075470942e+18
- y tested = 5072151352.996373
-y predicted = 4577516539.206093
-error 2.446635990133453e+17
- y tested = 7650055845.407672
-y predicted = 5641482007.283204
-error 4.034368863198056e+18
- y tested = 5789616901.049658
-y predicted = 6038388620.430961
-error 6.188736836392968e+16
- y tested = 8224428196.629629
-y predicted = 7296821256.673048
-error 8.604546350556123e+17
- y tested = 4059018123.5159216
-y predicted = 5122452795.230902
-error 1.1308933010055475e+18
- y tested = 5947637003.818383
-y predicted = 3990099799.655171
-error 3.831951905683126e+18
- y tested = 997516184.7000968
-y predicted = 742009619.9206806
-error 6.528360464537801e+16
- y tested = 6532788063.289651
-y predicted = 6834443769.088793
-error 9.099616484117845e+16
- y tested = 1980229389.772511
-y predicted = 3373411556.9025455
-error 1.9409565508091392e+18
- y tested = 5035525633.343237
-y predicted = 5261504290.289354
-error 5.1066353395171016e+16
- y tested = 5026691733.102776
-y predicted = 5302376477.883002
-error 7.600207850453874e+16
- y tested = 1014996574.3865615
-y predicted = 1410022997.8686154
-error 1.5604587524902298e+17
- y tested = 7665772326.561901
-y predicted = 6660284999.284194
-error 1.0110047653160668e+18
- y tested = 3029054692.61153
-y predicted = 4603869109.8316765
-error 2.4800404486844303e+18
- y tested = 4062233415.93208
-y predicted = 4581052630.717198
-error 2.69173377630247e+17
- y tested = 5822958761.806049
-y predicted = 6175212657.464314
-error 1.2408280700642392e+17
- y tested = 6611133148.221605
-y predicted = 6343405792.579687
-error 7.1677936959014136e+16
- y tested = 5377240292.736961
-y predicted = 3028850008.037728
-error 5.514936929269747e+18
-error squared vector [3.1467015065991055e+18, 1.85400075470942e+18, 2.446635990133453e+17, 4.034368863198056e+18, 6.188736836392968e+16, 8.604546350556123e+17, 1.1308933010055475e+18, 3.831951905683126e+18, 6.528360464537801e+16, 9.099616484117845e+16, 1.9409565508091392e+18, 5.1066353395171016e+16, 7.600207850453874e+16, 1.5604587524902298e+17, 1.0110047653160668e+18, 2.4800404486844303e+18, 2.69173377630247e+17, 1.2408280700642392e+17, 7.1677936959014136e+16, 5.514936929269747e+18]
-Total loo_error 1.3508094412969252e+18
-iteration 137current difference of loo_error 4002300046352384.0
- getting loo error of with lamda = 0.02249629576108793, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1767027836.53809
-error 3.1223873748059786e+18
- y tested = 5326600510.288329
-y predicted = 3966253349.2633467
-error 1.8505443985087296e+18
- y tested = 5072151352.996373
-y predicted = 4570511729.113066
-error 2.5164231224978618e+17
- y tested = 7650055845.407672
-y predicted = 5650509110.70333
-error 3.998187144266796e+18
- y tested = 5789616901.049658
-y predicted = 6038562128.124688
-error 6.197372608343842e+16
- y tested = 8224428196.629629
-y predicted = 7305543511.9533415
-error 8.443490637326406e+17
- y tested = 4059018123.5159216
-y predicted = 5121324793.084642
-error 1.1284954602101874e+18
- y tested = 5947637003.818383
-y predicted = 3993640421.711396
-error 3.818102642885787e+18
- y tested = 997516184.7000968
-y predicted = 733228078.8811325
-error 6.9848202877376104e+16
- y tested = 6532788063.289651
-y predicted = 6829678630.621095
-error 8.814400897038656e+16
- y tested = 1980229389.772511
-y predicted = 3377641336.3356533
-error 1.9527601483973906e+18
- y tested = 5035525633.343237
-y predicted = 5259350327.749669
-error 5.0097493826132744e+16
- y tested = 5026691733.102776
-y predicted = 5302816770.4361725
-error 7.624503624236984e+16
- y tested = 1014996574.3865615
-y predicted = 1402642483.75859
-error 1.502693510528669e+17
- y tested = 7665772326.561901
-y predicted = 6665823154.231003
-error 9.998983472452485e+17
- y tested = 3029054692.61153
-y predicted = 4610237710.144945
-error 2.500139734936077e+18
- y tested = 4062233415.93208
-y predicted = 4589772310.946737
-error 2.7829728575328582e+17
- y tested = 5822958761.806049
-y predicted = 6180170260.464714
-error 1.2760005477396922e+17
- y tested = 6611133148.221605
-y predicted = 6343447667.003832
-error 7.1655516854790936e+16
- y tested = 5377240292.736961
-y predicted = 3029237131.4640856
-error 5.513118845347418e+18
-error squared vector [3.1223873748059786e+18, 1.8505443985087296e+18, 2.5164231224978618e+17, 3.998187144266796e+18, 6.197372608343842e+16, 8.443490637326406e+17, 1.1284954602101874e+18, 3.818102642885787e+18, 6.9848202877376104e+16, 8.814400897038656e+16, 1.9527601483973906e+18, 5.0097493826132744e+16, 7.624503624236984e+16, 1.502693510528669e+17, 9.998983472452485e+17, 2.500139734936077e+18, 2.7829728575328582e+17, 1.2760005477396922e+17, 7.1655516854790936e+16, 5.513118845347418e+18]
-Total loo_error 1.3476878074510328e+18
-iteration 138current difference of loo_error 880666200460032.0
- getting loo error of with lamda = 0.022062525908666156, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1760324635.9199657
-error 3.098742823533373e+18
- y tested = 5326600510.288329
-y predicted = 3967489147.750771
-error 1.8471836957786977e+18
- y tested = 5072151352.996373
-y predicted = 4563612680.529736
-error 2.586115813941301e+17
- y tested = 7650055845.407672
-y predicted = 5659348527.742068
-error 3.9629156246073825e+18
- y tested = 5789616901.049658
-y predicted = 6038799309.308353
-error 6.209187258560325e+16
- y tested = 8224428196.629629
-y predicted = 7314081644.932732
-error 8.287308441864321e+17
- y tested = 4059018123.5159216
-y predicted = 5120214006.022069
-error 1.126136701048001e+18
- y tested = 5947637003.818383
-y predicted = 3997066537.30321
-error 3.804725144841221e+18
- y tested = 997516184.7000968
-y predicted = 724637832.7900996
-error 7.446259494111629e+16
- y tested = 6532788063.289651
-y predicted = 6824879075.5831375
-error 8.531715946263374e+16
- y tested = 1980229389.772511
-y predicted = 3381868640.06636
-error 1.964592587964303e+18
- y tested = 5035525633.343237
-y predicted = 5257182150.592711
-error 4.91316116391666e+16
- y tested = 5026691733.102776
-y predicted = 5303247475.570013
-error 7.648307869160498e+16
- y tested = 1014996574.3865615
-y predicted = 1395413760.8681056
-error 1.4471723577053392e+17
- y tested = 7665772326.561901
-y predicted = 6671267062.34102
-error 9.890407205630452e+17
- y tested = 3029054692.61153
-y predicted = 4616519114.017131
-error 2.52004328922862e+18
- y tested = 4062233415.93208
-y predicted = 4598403044.380819
-error 2.874778704708594e+17
- y tested = 5822958761.806049
-y predicted = 6185154409.947841
-error 1.3118568753285232e+17
- y tested = 6611133148.221605
-y predicted = 6343491352.490542
-error 7.163213082214799e+16
- y tested = 5377240292.736961
-y predicted = 3029587273.659583
-error 5.511474697983129e+18
-error squared vector [3.098742823533373e+18, 1.8471836957786977e+18, 2.586115813941301e+17, 3.9629156246073825e+18, 6.209187258560325e+16, 8.287308441864321e+17, 1.126136701048001e+18, 3.804725144841221e+18, 7.446259494111629e+16, 8.531715946263374e+16, 1.964592587964303e+18, 4.91316116391666e+16, 7.648307869160498e+16, 1.4471723577053392e+17, 9.890407205630452e+17, 2.52004328922862e+18, 2.874778704708594e+17, 1.3118568753285232e+17, 7.163213082214799e+16, 5.511474697983129e+18]
-Total loo_error 1.3447348476522427e+18
-iteration 139current difference of loo_error -2072293598330112.0
- getting loo error of with lamda = 0.008602515942608737, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1527782862.3114905
-error 2.3341204741180605e+18
- y tested = 5326600510.288329
-y predicted = 4006770426.240818
-error 1.7419514507568602e+18
- y tested = 5072151352.996373
-y predicted = 4259212318.514291
-error 6.608698737846604e+17
- y tested = 7650055845.407672
-y predicted = 5981071615.176075
-error 2.785508360761756e+18
- y tested = 5789616901.049658
-y predicted = 6125542364.124743
-error 1.1284591674221072e+17
- y tested = 8224428196.629629
-y predicted = 7627090851.002167
-error 3.5681190448126246e+17
- y tested = 4059018123.5159216
-y predicted = 5075705119.918037
-error 1.0336524486531558e+18
- y tested = 5947637003.818383
-y predicted = 4080429879.2142043
-error 3.4864624461726054e+18
- y tested = 997516184.7000968
-y predicted = 408412522.78030115
-error 3.47043124487313e+17
- y tested = 6532788063.289651
-y predicted = 6501489416.570109
-error 979605286474669.0
- y tested = 1980229389.772511
-y predicted = 3611615169.6282105
-error 2.661419562715389e+18
- y tested = 5035525633.343237
-y predicted = 5117902599.479949
-error 6785964549889008.0
- y tested = 5026691733.102776
-y predicted = 5323826590.301813
-error 8.828912336269243e+16
- y tested = 1014996574.3865615
-y predicted = 1122874860.0886018
-error 1.1637724526011036e+16
- y tested = 7665772326.561901
-y predicted = 6886251290.45982
-error 6.076530457256623e+17
- y tested = 3029054692.61153
-y predicted = 4901897211.726849
-error 3.507539101406213e+18
- y tested = 4062233415.93208
-y predicted = 5013400986.156563
-error 9.047197466467469e+17
- y tested = 5822958761.806049
-y predicted = 6517060982.71265
-error 4.8177789306747584e+17
- y tested = 6611133148.221605
-y predicted = 6347051796.643543
-error 6.973896025129602e+16
- y tested = 5377240292.736961
-y predicted = 3007850123.3500023
-error 5.614009774787562e+18
-error squared vector [2.3341204741180605e+18, 1.7419514507568602e+18, 6.608698737846604e+17, 2.785508360761756e+18, 1.1284591674221072e+17, 3.5681190448126246e+17, 1.0336524486531558e+18, 3.4864624461726054e+18, 3.47043124487313e+17, 979605286474669.0, 2.661419562715389e+18, 6785964549889008.0, 8.828912336269243e+16, 1.1637724526011036e+16, 6.076530457256623e+17, 3.507539101406213e+18, 9.047197466467469e+17, 4.8177789306747584e+17, 6.973896025129602e+16, 5.614009774787562e+18]
-Total loo_error 1.3406908251141647e+18
-iteration 140current difference of loo_error 4044022538077952.0
- getting loo error of with lamda = 0.02165464681878563, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1753981050.3095813
-error 3.076449524552772e+18
- y tested = 5326600510.288329
-y predicted = 3968655089.156098
-error 1.844015766773993e+18
- y tested = 5072151352.996373
-y predicted = 4557026399.346161
-error 2.6535371787313334e+17
- y tested = 7650055845.407672
-y predicted = 5667738597.127678
-error 3.9295816728283674e+18
- y tested = 5789616901.049658
-y predicted = 6039087989.680612
-error 6.22358240627132e+16
- y tested = 8224428196.629629
-y predicted = 7322183218.561821
-error 8.140460004485796e+17
- y tested = 4059018123.5159216
-y predicted = 5119153965.318192
-error 1.1238880030738075e+18
- y tested = 5947637003.818383
-y predicted = 4000280084.6087804
-error 3.7921989707935155e+18
- y tested = 997516184.7000968
-y predicted = 716491681.8151642
-error 7.897477122172352e+16
- y tested = 6532788063.289651
-y predicted = 6820197996.018842
-error 8.2604469431398e+16
- y tested = 1980229389.772511
-y predicted = 3385960711.2865524
-error 1.9760805482856133e+18
- y tested = 5035525633.343237
-y predicted = 5255068947.16366
-error 4.819926664325279e+16
- y tested = 5026691733.102776
-y predicted = 5303656204.10619
-error 7.670931819820104e+16
- y tested = 1014996574.3865615
-y predicted = 1388550400.4369943
-error 1.3954246095691701e+17
- y tested = 7665772326.561901
-y predicted = 6676453588.506847
-error 9.78751565466844e+17
- y tested = 3029054692.61153
-y predicted = 4622524123.896944
-error 2.5391448284410614e+18
- y tested = 4062233415.93208
-y predicted = 4606681869.38498
-error 2.9642411846725504e+17
- y tested = 5822958761.806049
-y predicted = 6190007662.317057
-error 1.3472489536633934e+17
- y tested = 6611133148.221605
-y predicted = 6343535439.337937
-error 7.1608533799788296e+16
- y tested = 5377240292.736961
-y predicted = 3029892176.0923038
-error 5.510043180715221e+18
-error squared vector [3.076449524552772e+18, 1.844015766773993e+18, 2.6535371787313334e+17, 3.9295816728283674e+18, 6.22358240627132e+16, 8.140460004485796e+17, 1.1238880030738075e+18, 3.7921989707935155e+18, 7.897477122172352e+16, 8.2604469431398e+16, 1.9760805482856133e+18, 4.819926664325279e+16, 7.670931819820104e+16, 1.3954246095691701e+17, 9.78751565466844e+17, 2.5391448284410614e+18, 2.9642411846725504e+17, 1.3472489536633934e+17, 7.1608533799788296e+16, 5.510043180715221e+18]
-Total loo_error 1.342028871870025e+18
-iteration 141current difference of loo_error 1338046755860224.0
- getting loo error of with lamda = 0.021259127701325722, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1747791897.675155
-error 3.0547765172876206e+18
- y tested = 5326600510.288329
-y predicted = 3969789204.3601704
-error 1.8409369198944755e+18
- y tested = 5072151352.996373
-y predicted = 4550544888.934324
-error 2.7207330335131354e+17
- y tested = 7650055845.407672
-y predicted = 5675947875.580419
-error 3.89710227653548e+18
- y tested = 5789616901.049658
-y predicted = 6039432238.931364
-error 6.240770304095105e+16
- y tested = 8224428196.629629
-y predicted = 7330107863.7278385
-error 7.998088578415695e+17
- y tested = 4059018123.5159216
-y predicted = 5118111365.591613
-error 1.1216784954103987e+18
- y tested = 5947637003.818383
-y predicted = 4003387266.745182
-error 3.780107040109212e+18
- y tested = 997516184.7000968
-y predicted = 708527519.8072585
-error 8.351444843654523e+16
- y tested = 6532788063.289651
-y predicted = 6815496289.24132
-error 7.992394102073979e+16
- y tested = 1980229389.772511
-y predicted = 3390041040.382478
-error 1.9875688901956004e+18
- y tested = 5035525633.343237
-y predicted = 5252948019.000624
-error 4.727249378494943e+16
- y tested = 5026691733.102776
-y predicted = 5304056348.028902
-error 7.693112961311843e+16
- y tested = 1014996574.3865615
-y predicted = 1381832395.6564515
-error 1.3456851976675464e+17
- y tested = 7665772326.561901
-y predicted = 6681546810.822777
-error 9.686998658319452e+17
- y tested = 3029054692.61153
-y predicted = 4628441658.355676
-error 2.5580386661922657e+18
- y tested = 4062233415.93208
-y predicted = 4614866348.656858
-error 3.054031583319897e+17
- y tested = 5822958761.806049
-y predicted = 6194875424.758489
-error 1.3832200418167834e+17
- y tested = 6611133148.221605
-y predicted = 6343581194.68114
-error 7.158404784331933e+16
- y tested = 5377240292.736961
-y predicted = 3030163731.597238
-error 5.508768383851469e+18
-error squared vector [3.0547765172876206e+18, 1.8409369198944755e+18, 2.7207330335131354e+17, 3.89710227653548e+18, 6.240770304095105e+16, 7.998088578415695e+17, 1.1216784954103987e+18, 3.780107040109212e+18, 8.351444843654523e+16, 7.992394102073979e+16, 1.9875688901956004e+18, 4.727249378494943e+16, 7.693112961311843e+16, 1.3456851976675464e+17, 9.686998658319452e+17, 2.5580386661922657e+18, 3.054031583319897e+17, 1.3832200418167834e+17, 7.158404784331933e+16, 5.508768383851469e+18]
-Total loo_error 1.3394743331260698e+18
-iteration 142current difference of loo_error -1216491988094976.0
- getting loo error of with lamda = 0.008986049632266829, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1535175960.5807407
-error 2.3567652296891377e+18
- y tested = 5326600510.288329
-y predicted = 4005676463.5344195
-error 1.7448403372927247e+18
- y tested = 5072151352.996373
-y predicted = 4272207967.2415867
-error 6.399094204128311e+17
- y tested = 7650055845.407672
-y predicted = 5970669146.623745
-error 2.820339684052376e+18
- y tested = 5789616901.049658
-y predicted = 6118571513.387902
-error 1.0821113697860467e+17
- y tested = 8224428196.629629
-y predicted = 7616511521.7219095
-error 3.6956268363085805e+17
- y tested = 4059018123.5159216
-y predicted = 5077250015.626505
-error 1.0367961861110986e+18
- y tested = 5947637003.818383
-y predicted = 4079628888.309208
-error 3.4894543196081403e+18
- y tested = 997516184.7000968
-y predicted = 419269306.4624317
-error 3.343694521916052e+17
- y tested = 6532788063.289651
-y predicted = 6519770811.957452
-error 169448832245639.16
- y tested = 1980229389.772511
-y predicted = 3601133154.427752
-error 2.627329014273533e+18
- y tested = 5035525633.343237
-y predicted = 5125357598.632578
-error 8069781987745361.0
- y tested = 5026691733.102776
-y predicted = 5322738843.932259
-error 8.764389183048421e+16
- y tested = 1014996574.3865615
-y predicted = 1132367165.2810876
-error 1.3775855606930218e+16
- y tested = 7665772326.561901
-y predicted = 6878661953.189805
-error 6.195427398699604e+17
- y tested = 3029054692.61153
-y predicted = 4889496990.705835
-error 3.4612455445384207e+18
- y tested = 4062233415.93208
-y predicted = 4994796512.767442
-error 8.696739295791607e+17
- y tested = 5822958761.806049
-y predicted = 6498343050.7700615
-error 4.5614393777942426e+17
- y tested = 6611133148.221605
-y predicted = 6346968118.083782
-error 6.978316314771699e+16
- y tested = 5377240292.736961
-y predicted = 3010363090.5178194
-error 5.602107690384713e+18
-error squared vector [2.3567652296891377e+18, 1.7448403372927247e+18, 6.399094204128311e+17, 2.820339684052376e+18, 1.0821113697860467e+17, 3.6956268363085805e+17, 1.0367961861110986e+18, 3.4894543196081403e+18, 3.343694521916052e+17, 169448832245639.16, 2.627329014273533e+18, 8069781987745361.0, 8.764389183048421e+16, 1.3775855606930218e+16, 6.195427398699604e+17, 3.4612455445384207e+18, 8.696739295791607e+17, 4.5614393777942426e+17, 6.978316314771699e+16, 5.602107690384713e+18]
-Total loo_error 1.3357866723898854e+18
-iteration 143current difference of loo_error 3687660736184320.0
- getting loo error of with lamda = 0.020887216244687572, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1741937933.471825
-error 3.034347763777769e+18
- y tested = 5326600510.288329
-y predicted = 3970858675.7205505
-error 1.838035921997206e+18
- y tested = 5072151352.996373
-y predicted = 4544362235.950189
-error 2.7856135207239107e+17
- y tested = 7650055845.407672
-y predicted = 5683734009.846096
-error 3.866421561006245e+18
- y tested = 5789616901.049658
-y predicted = 6039816928.998171
-error 6.26000539854367e+16
- y tested = 8224428196.629629
-y predicted = 7337621925.421469
-error 7.864253626541213e+17
- y tested = 4059018123.5159216
-y predicted = 5117117562.83712
-error 1.1195744234918345e+18
- y tested = 5947637003.818383
-y predicted = 4006299536.819958
-error 3.768791160771861e+18
- y tested = 997516184.7000968
-y predicted = 700979278.4080496
-error 8.793413679325842e+16
- y tested = 6532788063.289651
-y predicted = 6810922963.682211
-error 7.735902281637928e+16
- y tested = 1980229389.772511
-y predicted = 3393982113.635954
-error 1.9986967642313042e+18
- y tested = 5035525633.343237
-y predicted = 5250886655.26738
-error 4.638036976421113e+16
- y tested = 5026691733.102776
-y predicted = 5304436344.448407
-error 7.714206913153595e+16
- y tested = 1014996574.3865615
-y predicted = 1375457850.9263074
-error 1.2993233188466318e+17
- y tested = 7665772326.561901
-y predicted = 6686394559.046034
-error 9.59180811504364e+17
- y tested = 3029054692.61153
-y predicted = 4634093831.721211
-error 2.5761506380739476e+18
- y tested = 4062233415.93208
-y predicted = 4622707783.868758
-error 3.1413151711401914e+17
- y tested = 5822958761.806049
-y predicted = 6199604444.276728
-error 1.4186197012380304e+17
- y tested = 6611133148.221605
-y predicted = 6343627107.552357
-error 7.155948179453767e+16
- y tested = 5377240292.736961
-y predicted = 3030395989.3088865
-error 5.507678184532806e+18
-error squared vector [3.034347763777769e+18, 1.838035921997206e+18, 2.7856135207239107e+17, 3.866421561006245e+18, 6.26000539854367e+16, 7.864253626541213e+17, 1.1195744234918345e+18, 3.768791160771861e+18, 8.793413679325842e+16, 7.735902281637928e+16, 1.9986967642313042e+18, 4.638036976421113e+16, 7.714206913153595e+16, 1.2993233188466318e+17, 9.59180811504364e+17, 2.5761506380739476e+18, 3.1413151711401914e+17, 1.4186197012380304e+17, 7.155948179453767e+16, 5.507678184532806e+18]
-Total loo_error 1.3371382448760847e+18
-iteration 144current difference of loo_error 1351572486199296.0
- getting loo error of with lamda = 0.020526574832189975, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0000-0001'
+--- Neighbour 0 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0000-0001'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 33 in the X datas point
+--------------
+ --- Configuration: 1000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 997516184.7000968
+ --- Energy: 29.543907709942122
+ --- Workload: 29470600000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 53 in the X datas point
+--------------
+ --- Configuration: 0000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3145168392.3157244
+ --- Energy: 35.44774676664167
+ --- Workload: 111489000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 59 in the X datas point
+--------------
+ --- Configuration: 0000-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3321398441.599851
+ --- Energy: 35.588916806469584
+ --- Workload: 118205000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (30.059275323795035 mAh) it is NOT far from the median.
+--- Median :30.059275323795035, the gap is : 10
+--- So No we don't romove this configuration '0000-0001'
+ --- remove_aberrant_points: The value [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '0101-0200'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1736229429.5356836
-error 3.014492631696434e+18
- y tested = 5326600510.288329
-y predicted = 3971898466.8852167
-error 1.8352176264005683e+18
- y tested = 5072151352.996373
-y predicted = 4538282803.184021
-error 2.8501562847874397e+17
- y tested = 7650055845.407672
-y predicted = 5691346856.381145
-error 3.836540903693321e+18
- y tested = 5789616901.049658
-y predicted = 6040249450.610152
-error 6.28166748991937e+16
- y tested = 8224428196.629629
-y predicted = 7344966820.594562
-error 7.734523119374945e+17
- y tested = 4059018123.5159216
-y predicted = 5116141218.993352
-error 1.1175092389917843e+18
- y tested = 5947637003.818383
-y predicted = 4009113500.356798
-error 3.757873373472978e+18
- y tested = 997516184.7000968
-y predicted = 693603660.8501072
-error 9.236282215287053e+16
- y tested = 6532788063.289651
-y predicted = 6806341354.354444
-error 7.483140305237915e+16
- y tested = 1980229389.772511
-y predicted = 3397903492.249858
-error 2.0097998608349512e+18
- y tested = 5035525633.343237
-y predicted = 5248823306.716046
-error 4.549589746625369e+16
- y tested = 5026691733.102776
-y predicted = 5304808593.857029
-error 7.734898823580077e+16
- y tested = 1014996574.3865615
-y predicted = 1369222059.0121355
-error 1.2547569395822275e+17
- y tested = 7665772326.561901
-y predicted = 6691150640.430992
-error 9.49887431076656e+17
- y tested = 3029054692.61153
-y predicted = 4639658815.870366
-error 2.5940456418583644e+18
- y tested = 4062233415.93208
-y predicted = 4630450799.972248
-error 3.228709955254521e+17
- y tested = 5822958761.806049
-y predicted = 6204336945.955682
-error 1.4544931934527098e+17
- y tested = 6611133148.221605
-y predicted = 6343674473.265478
-error 7.153414280928729e+16
- y tested = 5377240292.736961
-y predicted = 3030598479.571942
-error 5.506727799294411e+18
-error squared vector [3.014492631696434e+18, 1.8352176264005683e+18, 2.8501562847874397e+17, 3.836540903693321e+18, 6.28166748991937e+16, 7.734523119374945e+17, 1.1175092389917843e+18, 3.757873373472978e+18, 9.236282215287053e+16, 7.483140305237915e+16, 2.0097998608349512e+18, 4.549589746625369e+16, 7.734898823580077e+16, 1.2547569395822275e+17, 9.49887431076656e+17, 2.5940456418583644e+18, 3.228709955254521e+17, 1.4544931934527098e+17, 7.153414280928729e+16, 5.506727799294411e+18]
-Total loo_error 1.334937419259022e+18
-iteration 145current difference of loo_error -849253130863360.0
- getting loo error of with lamda = 0.009335762517112985, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1541867361.487781
-error 2.377354960164314e+18
- y tested = 5326600510.288329
-y predicted = 4004674568.407112
-error 1.7474881958185426e+18
- y tested = 5072151352.996373
-y predicted = 4283660383.853887
-error 6.21718008419257e+17
- y tested = 7650055845.407672
-y predicted = 5961221921.317766
-error 2.8521600231569096e+18
- y tested = 5789616901.049658
-y predicted = 6112670963.523217
-error 1.043639272806704e+17
- y tested = 8224428196.629629
-y predicted = 7606983078.953488
-error 3.8123847334210336e+17
- y tested = 4059018123.5159216
-y predicted = 5078649507.309125
-error 1.0396481588160428e+18
- y tested = 5947637003.818383
-y predicted = 4078734219.6867766
-error 3.4927976165348705e+18
- y tested = 997516184.7000968
-y predicted = 429036274.2496725
-error 3.2316940858572256e+17
- y tested = 6532788063.289651
-y predicted = 6535568861.900843
-error 7732840916005.963
- y tested = 1980229389.772511
-y predicted = 3591849612.807634
-error 2.5973197432957793e+18
- y tested = 5035525633.343237
-y predicted = 5131840821.298534
-error 9276615430864278.0
- y tested = 5026691733.102776
-y predicted = 5321802898.4186735
-error 8.709059989410725e+16
- y tested = 1014996574.3865615
-y predicted = 1140911313.865511
-error 1.5854521618051706e+16
- y tested = 7665772326.561901
-y predicted = 6871819015.42833
-error 6.303618602599604e+17
- y tested = 3029054692.61153
-y predicted = 4878571151.218281
-error 3.4207111306572575e+18
- y tested = 4062233415.93208
-y predicted = 4978424580.618075
-error 8.394062502486811e+17
- y tested = 5822958761.806049
-y predicted = 6482161629.10585
-error 4.3454842025627885e+17
- y tested = 6611133148.221605
-y predicted = 6346874275.9802685
-error 6.9832751558263176e+16
- y tested = 5377240292.736961
-y predicted = 3012465354.4274154
-error 5.592160508856917e+18
-error squared vector [2.377354960164314e+18, 1.7474881958185426e+18, 6.21718008419257e+17, 2.8521600231569096e+18, 1.043639272806704e+17, 3.8123847334210336e+17, 1.0396481588160428e+18, 3.4927976165348705e+18, 3.2316940858572256e+17, 7732840916005.963, 2.5973197432957793e+18, 9276615430864278.0, 8.709059989410725e+16, 1.5854521618051706e+16, 6.303618602599604e+17, 3.4207111306572575e+18, 8.394062502486811e+17, 4.3454842025627885e+17, 6.9832751558263176e+16, 5.592160508856917e+18]
-Total loo_error 1.3318254453517755e+18
-iteration 146current difference of loo_error 3111973907246592.0
- getting loo error of with lamda = 0.020187459307490673, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1730832755.9725142
-error 2.995782028858937e+18
- y tested = 5326600510.288329
-y predicted = 3972878560.2823043
-error 1.8325631179281144e+18
- y tested = 5072151352.996373
-y predicted = 4532488269.135929
-error 2.912362440817647e+17
- y tested = 7650055845.407672
-y predicted = 5698562252.468293
-error 3.808327243283446e+18
- y tested = 5789616901.049658
-y predicted = 6040712336.31529
-error 6.30489176112375e+16
- y tested = 8224428196.629629
-y predicted = 7351926549.455552
-error 7.612591243214776e+17
- y tested = 4059018123.5159216
-y predicted = 5115211591.262693
-error 1.1155446413109512e+18
- y tested = 5947637003.818383
-y predicted = 4011749285.8525844
-error 3.7476612565708283e+18
- y tested = 997516184.7000968
-y predicted = 686616914.2176546
-error 9.66583563865148e+16
- y tested = 6532788063.289651
-y predicted = 6801895932.547679
-error 7.24190452965959e+16
- y tested = 1980229389.772511
-y predicted = 3401683230.7434287
-error 2.020531022010975e+18
- y tested = 5035525633.343237
-y predicted = 5246823065.463195
-error 4.464660482048822e+16
- y tested = 5026691733.102776
-y predicted = 5305162294.20599
-error 7.754585340113899e+16
- y tested = 1014996574.3865615
-y predicted = 1363308557.988915
-error 1.2132123792100614e+17
- y tested = 7665772326.561901
-y predicted = 6695673376.243976
-error 9.410919734079407e+17
- y tested = 3029054692.61153
-y predicted = 4644969663.504172
-error 2.6111811931549696e+18
- y tested = 4062233415.93208
-y predicted = 4637860757.606847
-error 3.31346836483559e+17
- y tested = 5822958761.806049
-y predicted = 6208924475.525278
-error 1.4896953216679363e+17
- y tested = 6611133148.221605
-y predicted = 6343721712.693444
-error 7.150887585123183e+16
- y tested = 5377240292.736961
-y predicted = 3030767237.918611
-error 5.50593579698856e+18
-error squared vector [2.995782028858937e+18, 1.8325631179281144e+18, 2.912362440817647e+17, 3.808327243283446e+18, 6.30489176112375e+16, 7.612591243214776e+17, 1.1155446413109512e+18, 3.7476612565708283e+18, 9.66583563865148e+16, 7.24190452965959e+16, 2.020531022010975e+18, 4.464660482048822e+16, 7.754585340113899e+16, 1.2132123792100614e+17, 9.410919734079407e+17, 2.6111811931549696e+18, 3.31346836483559e+17, 1.4896953216679363e+17, 7.150887585123183e+16, 5.50593579698856e+18]
-Total loo_error 1.3329289450928266e+18
-iteration 147current difference of loo_error 1103499741051136.0
- getting loo error of with lamda = 0.019858620010812563, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1725572676.4329562
-error 2.9776010613644006e+18
- y tested = 5326600510.288329
-y predicted = 3973831062.89738
-error 1.8299851777944143e+18
- y tested = 5072151352.996373
-y predicted = 4526794913.48003
-error 2.974136461219428e+17
- y tested = 7650055845.407672
-y predicted = 5705612299.535566
-error 3.7808607030836874e+18
- y tested = 5789616901.049658
-y predicted = 6041215779.032095
-error 6.330199540202129e+16
- y tested = 8224428196.629629
-y predicted = 7358725253.403871
-error 7.494415859097409e+17
- y tested = 4059018123.5159216
-y predicted = 5114299262.24537
-error 1.1136182817581211e+18
- y tested = 5947637003.818383
-y predicted = 4014294622.2455277
-error 3.7378127643858007e+18
- y tested = 997516184.7000968
-y predicted = 679793456.7098703
-error 1.0094773188155146e+17
- y tested = 6532788063.289651
-y predicted = 6797453127.67142
-error 7.0047596304206024e+16
- y tested = 1980229389.772511
-y predicted = 3405436593.6099133
-error 2.031215573870027e+18
- y tested = 5035525633.343237
-y predicted = 5244825840.52524
-error 4.380657672642939e+16
- y tested = 5026691733.102776
-y predicted = 5305508945.67503
-error 7.773903802656157e+16
- y tested = 1014996574.3865615
-y predicted = 1357527108.0284216
-error 1.1732716647697747e+17
- y tested = 7665772326.561901
-y predicted = 6700106670.106392
-error 9.325101600576495e+17
- y tested = 3029054692.61153
-y predicted = 4650194127.971183
-error 2.6280930688782147e+18
- y tested = 4062233415.93208
-y predicted = 4645169465.490464
-error 3.398144378747352e+17
- y tested = 5822958761.806049
-y predicted = 6213505562.110774
-error 1.525268032282585e+17
- y tested = 6611133148.221605
-y predicted = 6343770150.662716
-error 7.1482972463674696e+16
- y tested = 5377240292.736961
-y predicted = 3030909688.7250047
-error 5.505267303323113e+18
-error squared vector [2.9776010613644006e+18, 1.8299851777944143e+18, 2.974136461219428e+17, 3.7808607030836874e+18, 6.330199540202129e+16, 7.494415859097409e+17, 1.1136182817581211e+18, 3.7378127643858007e+18, 1.0094773188155146e+17, 7.0047596304206024e+16, 2.031215573870027e+18, 4.380657672642939e+16, 7.773903802656157e+16, 1.1732716647697747e+17, 9.325101600576495e+17, 2.6280930688782147e+18, 3.398144378747352e+17, 1.525268032282585e+17, 7.1482972463674696e+16, 5.505267303323113e+18]
-Total loo_error 1.3310406822465766e+18
-iteration 148current difference of loo_error -784763105198848.0
- getting loo error of with lamda = 0.009654636986619032, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1547928905.7012918
-error 2.396083896847611e+18
- y tested = 5326600510.288329
-y predicted = 4003757538.6313972
-error 1.7499135276621422e+18
- y tested = 5072151352.996373
-y predicted = 4293795351.1421576
-error 6.058380656224797e+17
- y tested = 7650055845.407672
-y predicted = 5952644774.466119
-error 2.88120434375495e+18
- y tested = 5789616901.049658
-y predicted = 6107639980.614106
-error 1.0113867913565546e+17
- y tested = 8224428196.629629
-y predicted = 7598388559.454486
-error 3.91925627314385e+17
- y tested = 4059018123.5159216
-y predicted = 5079916772.507598
-error 1.04223405151303e+18
- y tested = 5947637003.818383
-y predicted = 4077791650.391817
-error 3.49632164573092e+18
- y tested = 997516184.7000968
-y predicted = 437835766.95234966
-error 3.132421700102928e+17
- y tested = 6532788063.289651
-y predicted = 6549301682.130968
-error 272699607236305.66
- y tested = 1980229389.772511
-y predicted = 3583608607.686294
-error 2.570824916437815e+18
- y tested = 5035525633.343237
-y predicted = 5137507541.847322
-error 1.0400309662135674e+16
- y tested = 5026691733.102776
-y predicted = 5320992014.688613
-error 8.661265574150317e+16
- y tested = 1014996574.3865615
-y predicted = 1148610648.7157266
-error 1.7852720858839656e+16
- y tested = 7665772326.561901
-y predicted = 6865645172.677151
-error 6.40203462383711e+17
- y tested = 3029054692.61153
-y predicted = 4868905567.250857
-error 3.3850512409110984e+18
- y tested = 4062233415.93208
-y predicted = 4963958737.141782
-error 8.131085549107402e+17
- y tested = 5822958761.806049
-y predicted = 6468091545.998813
-error 4.1619630924030656e+17
- y tested = 6611133148.221605
-y predicted = 6346777332.296704
-error 6.988399741332014e+16
- y tested = 5377240292.736961
-y predicted = 3014236390.4403954
-error 5.583787442268799e+18
-error squared vector [2.396083896847611e+18, 1.7499135276621422e+18, 6.058380656224797e+17, 2.88120434375495e+18, 1.0113867913565546e+17, 3.91925627314385e+17, 1.04223405151303e+18, 3.49632164573092e+18, 3.132421700102928e+17, 272699607236305.66, 2.570824916437815e+18, 1.0400309662135674e+16, 8.661265574150317e+16, 1.7852720858839656e+16, 6.40203462383711e+17, 3.3850512409110984e+18, 8.131085549107402e+17, 4.1619630924030656e+17, 6.988399741332014e+16, 5.583787442268799e+18]
-Total loo_error 1.3286048158513485e+18
-iteration 149current difference of loo_error 2435866395228160.0
- getting loo error of with lamda = 0.01954940840401882, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1720602193.5800738
-error 2.960471908265795e+18
- y tested = 5326600510.288329
-y predicted = 3974728534.9571385
-error 1.8275578376858552e+18
- y tested = 5072151352.996373
-y predicted = 4521372531.195393
-error 3.033573105444763e+17
- y tested = 7650055845.407672
-y predicted = 5712289922.309509
-error 3.7549367727204746e+18
- y tested = 5789616901.049658
-y predicted = 6041740527.145114
-error 6.356632283552136e+16
- y tested = 8224428196.629629
-y predicted = 7365163482.850668
-error 7.383358483456401e+17
- y tested = 4059018123.5159216
-y predicted = 5113431475.109762
-error 1.1117875160193562e+18
- y tested = 5947637003.818383
-y predicted = 4016677523.2331276
-error 3.72860451566208e+18
- y tested = 997516184.7000968
-y predicted = 673332991.8231183
-error 1.0509474254391226e+17
- y tested = 6532788063.289651
-y predicted = 6793152339.329102
-error 6.7789556237547256e+16
- y tested = 1980229389.772511
-y predicted = 3409047429.4210424
-error 2.0415209904250724e+18
- y tested = 5035525633.343237
-y predicted = 5242894289.85783
-error 4.3001759704667304e+16
- y tested = 5026691733.102776
-y predicted = 5305838451.569878
-error 7.792289043095154e+16
- y tested = 1014996574.3865615
-y predicted = 1352047558.1755586
-error 1.1360336567313075e+17
- y tested = 7665772326.561901
-y predicted = 6704318839.947353
-error 9.243928069232703e+17
- y tested = 3029054692.61153
-y predicted = 4655175804.720327
-error 2.6442698712459525e+18
- y tested = 4062233415.93208
-y predicted = 4652156062.199667
-error 3.4800872857935277e+17
- y tested = 5822958761.806049
-y predicted = 6217937053.6536875
-error 1.56007851030878e+17
- y tested = 6611133148.221605
-y predicted = 6343818170.395424
-error 7.145729737021186e+16
- y tested = 5377240292.736961
-y predicted = 3031023555.830715
-error 5.504732976538994e+18
-error squared vector [2.960471908265795e+18, 1.8275578376858552e+18, 3.033573105444763e+17, 3.7549367727204746e+18, 6.356632283552136e+16, 7.383358483456401e+17, 1.1117875160193562e+18, 3.72860451566208e+18, 1.0509474254391226e+17, 6.7789556237547256e+16, 2.0415209904250724e+18, 4.3001759704667304e+16, 7.792289043095154e+16, 1.1360336567313075e+17, 9.243928069232703e+17, 2.6442698712459525e+18, 3.4800872857935277e+17, 1.56007851030878e+17, 7.145729737021186e+16, 5.504732976538994e+18]
-Total loo_error 1.3293210434391567e+18
-iteration 150current difference of loo_error 716227587808256.0
- getting loo error of with lamda = 0.019249566845915795, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1715759628.2214463
-error 2.9438311015486356e+18
- y tested = 5326600510.288329
-y predicted = 3975600430.1853995
-error 1.8252012164381222e+18
- y tested = 5072151352.996373
-y predicted = 4516048859.315756
-error 3.09249983477801e+17
- y tested = 7650055845.407672
-y predicted = 5718810417.442349
-error 3.729708903036962e+18
- y tested = 5789616901.049658
-y predicted = 6042299088.397442
-error 6.384828780286063e+16
- y tested = 8224428196.629629
-y predicted = 7371449047.3788395
-error 7.275734290566008e+17
- y tested = 4059018123.5159216
-y predicted = 5112580676.754393
-error 1.1099940535863661e+18
- y tested = 5947637003.818383
-y predicted = 4018977539.6442385
-error 3.719727328748499e+18
- y tested = 997516184.7000968
-y predicted = 667026588.0854149
-error 1.092233734705352e+17
- y tested = 6532788063.289651
-y predicted = 6788863652.393307
-error 6.557470733478437e+16
- y tested = 1980229389.772511
-y predicted = 3412626415.098195
-error 2.0517612381618683e+18
- y tested = 5035525633.343237
-y predicted = 5240970042.244825
-error 4.220740514892307e+16
- y tested = 5026691733.102776
-y predicted = 5306161491.076141
-error 7.810334562169165e+16
- y tested = 1014996574.3865615
-y predicted = 1346693321.0153897
-error 1.1002273172414902e+17
- y tested = 7665772326.561901
-y predicted = 6708444277.893392
-error 9.16476992767456e+17
- y tested = 3029054692.61153
-y predicted = 4660072376.362221
-error 2.660218684707469e+18
- y tested = 4062233415.93208
-y predicted = 4659039726.335139
-error 3.5617777213691296e+17
- y tested = 5822958761.806049
-y predicted = 6222353332.812601
-error 1.595160233495075e+17
- y tested = 6611133148.221605
-y predicted = 6343867121.423944
-error 7.143112908020795e+16
- y tested = 5377240292.736961
-y predicted = 3031114405.385036
-error 5.504306679302859e+18
-error squared vector [2.9438311015486356e+18, 1.8252012164381222e+18, 3.09249983477801e+17, 3.729708903036962e+18, 6.384828780286063e+16, 7.275734290566008e+17, 1.1099940535863661e+18, 3.719727328748499e+18, 1.092233734705352e+17, 6.557470733478437e+16, 2.0517612381618683e+18, 4.220740514892307e+16, 7.810334562169165e+16, 1.1002273172414902e+17, 9.16476992767456e+17, 2.660218684707469e+18, 3.5617777213691296e+17, 1.595160233495075e+17, 7.143112908020795e+16, 5.504306679302859e+18]
-Total loo_error 1.3277077193251108e+18
-iteration 151current difference of loo_error -897096526237696.0
- getting loo error of with lamda = 0.009945392436900753, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1553423882.0347505
-error 2.4131257570170107e+18
- y tested = 5326600510.288329
-y predicted = 4002918634.819813
-error 1.7521337074438487e+18
- y tested = 5072151352.996373
-y predicted = 4302796496.17384
-error 5.919068957164212e+17
- y tested = 7650055845.407672
-y predicted = 5944858209.569146
-error 2.9076989772692977e+18
- y tested = 5789616901.049658
-y predicted = 6103322773.317814
-error 9.841137429552464e+16
- y tested = 8224428196.629629
-y predicted = 7590626834.098124
-error 4.0170416714679296e+17
- y tested = 4059018123.5159216
-y predicted = 5081064204.891558
-error 1.0445781924552933e+18
- y tested = 5947637003.818383
-y predicted = 4076833703.880629
-error 3.4999049870579907e+18
- y tested = 997516184.7000968
-y predicted = 445773819.12295693
-error 3.0441963797265824e+17
- y tested = 6532788063.289651
-y predicted = 6561300651.682174
-error 812967696841426.6
- y tested = 1980229389.772511
-y predicted = 3576276944.2864804
-error 2.547367796270022e+18
- y tested = 5035525633.343237
-y predicted = 5142482552.813633
-error 1.1439782622596784e+16
- y tested = 5026691733.102776
-y predicted = 5320285281.269967
-error 8.6197171525401e+16
- y tested = 1014996574.3865615
-y predicted = 1155556029.6756215
-error 1.9756960471157256e+16
- y tested = 7665772326.561901
-y predicted = 6860071176.938834
-error 6.491543425039316e+17
- y tested = 3029054692.61153
-y predicted = 4860325248.103068
-error 3.353551847410288e+18
- y tested = 4062233415.93208
-y predicted = 4951132262.706433
-error 7.901411597967756e+17
- y tested = 5822958761.806049
-y predicted = 6455795257.922496
-error 4.004820308169412e+17
- y tested = 6611133148.221605
-y predicted = 6346681537.739387
-error 6.9934654286639144e+16
- y tested = 5377240292.736961
-y predicted = 3015737903.703315
-error 5.57669353341162e+18
-error squared vector [2.4131257570170107e+18, 1.7521337074438487e+18, 5.919068957164212e+17, 2.9076989772692977e+18, 9.841137429552464e+16, 4.0170416714679296e+17, 1.0445781924552933e+18, 3.4999049870579907e+18, 3.0441963797265824e+17, 812967696841426.6, 2.547367796270022e+18, 1.1439782622596784e+16, 8.6197171525401e+16, 1.9756960471157256e+16, 6.491543425039316e+17, 3.353551847410288e+18, 7.901411597967756e+17, 4.004820308169412e+17, 6.9934654286639144e+16, 5.57669353341162e+18]
-Total loo_error 1.3259707971593526e+18
-iteration 152current difference of loo_error 1736922165758208.0
- getting loo error of with lamda = 0.01896762216685473, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1711185583.4771364
-error 2.92815610081479e+18
- y tested = 5326600510.288329
-y predicted = 3976421678.053408
-error 1.8229828790152548e+18
- y tested = 5072151352.996373
-y predicted = 4510982343.34376
-error 3.1491065739449517e+17
- y tested = 7650055845.407672
-y predicted = 5724982717.509331
-error 3.705906547756303e+18
- y tested = 5789616901.049658
-y predicted = 6042870921.764601
-error 6.4137599008284744e+16
- y tested = 8224428196.629629
-y predicted = 7377397973.149794
-error 7.174601994883e+17
- y tested = 4059018123.5159216
-y predicted = 5111772187.163862
-error 1.1082911185272522e+18
- y tested = 5947637003.818383
-y predicted = 4021129832.623995
-error 3.7114298806634045e+18
- y tested = 997516184.7000968
-y predicted = 661058500.4075388
-error 1.1320377331951069e+17
- y tested = 6532788063.289651
-y predicted = 6784720973.2998085
-error 6.347019114618616e+16
- y tested = 1980229389.772511
-y predicted = 3416063328.991883
-error 2.0616191010142188e+18
- y tested = 5035525633.343237
-y predicted = 5239113140.775857
-error 4.144787318262712e+16
- y tested = 5026691733.102776
-y predicted = 5306468625.2966175
-error 7.827510940564466e+16
- y tested = 1014996574.3865615
-y predicted = 1341621407.4388697
-error 1.0668378156644821e+17
- y tested = 7665772326.561901
-y predicted = 6712360790.247684
-error 9.089935575770365e+17
- y tested = 3029054692.61153
-y predicted = 4664737567.026944
-error 2.675458465655872e+18
- y tested = 4062233415.93208
-y predicted = 4665613026.164463
-error 3.640669540441827e+17
- y tested = 5822958761.806049
-y predicted = 6226616950.150276
-error 1.629399330173433e+17
- y tested = 6611133148.221605
-y predicted = 6343915376.281942
-error 7.140533764039771e+16
- y tested = 5377240292.736961
-y predicted = 3031181376.7278156
-error 5.503992437386008e+18
-error squared vector [2.92815610081479e+18, 1.8229828790152548e+18, 3.1491065739449517e+17, 3.705906547756303e+18, 6.4137599008284744e+16, 7.174601994883e+17, 1.1082911185272522e+18, 3.7114298806634045e+18, 1.1320377331951069e+17, 6.347019114618616e+16, 2.0616191010142188e+18, 4.144787318262712e+16, 7.827510940564466e+16, 1.0668378156644821e+17, 9.089935575770365e+17, 2.675458465655872e+18, 3.640669540441827e+17, 1.629399330173433e+17, 7.140533764039771e+16, 5.503992437386008e+18]
-Total loo_error 1.3262415748811779e+18
-iteration 153current difference of loo_error 270777721825280.0
- getting loo error of with lamda = 0.018694221265947036, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1706731035.008889
-error 2.912930825578058e+18
- y tested = 5326600510.288329
-y predicted = 3977219273.9780703
-error 1.8208297209062026e+18
- y tested = 5072151352.996373
-y predicted = 4506011705.761521
-error 3.205141001712025e+17
- y tested = 7650055845.407672
-y predicted = 5731006260.411357
-error 3.682751309674529e+18
- y tested = 5789616901.049658
-y predicted = 6043470398.223032
-error 6.444159802715229e+16
- y tested = 8224428196.629629
-y predicted = 7383202676.569827
-error 7.076603755998844e+17
- y tested = 4059018123.5159216
-y predicted = 5110980253.284503
-error 1.1066243224672497e+18
- y tested = 5947637003.818383
-y predicted = 4023206444.876877
-error 3.703432976187919e+18
- y tested = 997516184.7000968
-y predicted = 655235416.8727459
-error 1.1715612402448094e+17
- y tested = 6532788063.289651
-y predicted = 6780598511.390608
-error 6.1410018187997064e+16
- y tested = 1980229389.772511
-y predicted = 3419464042.3633294
-error 2.0713963852182136e+18
- y tested = 5035525633.343237
-y predicted = 5237267149.803483
-error 4.069963946367974e+16
- y tested = 5026691733.102776
-y predicted = 5306769781.442906
-error 7.844371316201666e+16
- y tested = 1014996574.3865615
-y predicted = 1336668087.752334
-error 1.0347256251102642e+17
- y tested = 7665772326.561901
-y predicted = 6716193668.802919
-error 9.016996272713492e+17
- y tested = 3029054692.61153
-y predicted = 4669319352.70006
-error 2.690468155135341e+18
- y tested = 4062233415.93208
-y predicted = 4672082754.656041
-error 3.719162159420529e+17
- y tested = 5822958761.806049
-y predicted = 6230857757.85249
-error 1.6638159097569456e+17
- y tested = 6611133148.221605
-y predicted = 6343964300.567931
-error 7.1379193156592136e+16
- y tested = 5377240292.736961
-y predicted = 3031228413.6099954
-error 5.503771737004838e+18
-error squared vector [2.912930825578058e+18, 1.8208297209062026e+18, 3.205141001712025e+17, 3.682751309674529e+18, 6.444159802715229e+16, 7.076603755998844e+17, 1.1066243224672497e+18, 3.703432976187919e+18, 1.1715612402448094e+17, 6.1410018187997064e+16, 2.0713963852182136e+18, 4.069963946367974e+16, 7.844371316201666e+16, 1.0347256251102642e+17, 9.016996272713492e+17, 2.690468155135341e+18, 3.719162159420529e+17, 1.6638159097569456e+17, 7.1379193156592136e+16, 5.503771737004838e+18]
-Total loo_error 1.3248690095332739e+18
-iteration 154current difference of loo_error -1101787626078720.0
- getting loo error of with lamda = 0.010210508462023368, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1558408349.669016
-error 2.428636584058371e+18
- y tested = 5326600510.288329
-y predicted = 4002151560.2603383
-error 1.7541650212302474e+18
- y tested = 5072151352.996373
-y predicted = 4310815111.308043
-error 5.796328729081123e+17
- y tested = 7650055845.407672
-y predicted = 5937788970.515352
-error 2.9318578508535107e+18
- y tested = 5789616901.049658
-y predicted = 6099596844.090952
-error 9.608756508788394e+16
- y tested = 8224428196.629629
-y predicted = 7583609792.124551
-error 4.106482275524342e+17
- y tested = 4059018123.5159216
-y predicted = 5082103253.094763
-error 1.0467031823653544e+18
- y tested = 5947637003.818383
-y predicted = 4075883254.246007
-error 3.50346209903825e+18
- y tested = 997516184.7000968
-y predicted = 452942841.5348278
-error 2.965601260861978e+17
- y tested = 6532788063.289651
-y predicted = 6571831817.196712
-error 1524414719155111.8
- y tested = 1980229389.772511
-y predicted = 3569740747.309866
-error 2.526546355740245e+18
- y tested = 5035525633.343237
-y predicted = 5146867303.6944895
-error 1.2396967556606992e+16
- y tested = 5026691733.102776
-y predicted = 5319666120.543944
-error 8.583399169652808e+16
- y tested = 1014996574.3865615
-y predicted = 1161827418.1384413
-error 2.1559296676888944e+16
- y tested = 7665772326.561901
-y predicted = 6855035222.880328
-error 6.572946512859855e+17
- y tested = 3029054692.61153
-y predicted = 4852685527.975059
-error 3.3256294236886815e+18
- y tested = 4062233415.93208
-y predicted = 4939724763.181308
-error 7.699910644972653e+17
- y tested = 5822958761.806049
-y predicted = 6445001398.494161
-error 3.8693704185789766e+17
- y tested = 6611133148.221605
-y predicted = 6346589379.335033
-error 6.998340565671196e+16
- y tested = 5377240292.736961
-y predicted = 3017018318.2661357
-error 5.570647768774963e+18
-error squared vector [2.428636584058371e+18, 1.7541650212302474e+18, 5.796328729081123e+17, 2.9318578508535107e+18, 9.608756508788394e+16, 4.106482275524342e+17, 1.0467031823653544e+18, 3.50346209903825e+18, 2.965601260861978e+17, 1524414719155111.8, 2.526546355740245e+18, 1.2396967556606992e+16, 8.583399169652808e+16, 2.1559296676888944e+16, 6.572946512859855e+17, 3.3256294236886815e+18, 7.699910644972653e+17, 3.8693704185789766e+17, 6.998340565671196e+16, 5.570647768774963e+18]
-Total loo_error 1.3238048955665646e+18
-iteration 155current difference of loo_error 1064113966709248.0
- getting loo error of with lamda = 0.01843713905976753, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1702525102.586713
-error 2.898591724654144e+18
- y tested = 5326600510.288329
-y predicted = 3977970321.9093127
-error 1.8188033850072212e+18
- y tested = 5072151352.996373
-y predicted = 4501284582.073063
-error 3.2588887014440723e+17
- y tested = 7650055845.407672
-y predicted = 5736704937.918603
-error 3.660911695189244e+18
- y tested = 5789616901.049658
-y predicted = 6044076122.033925
-error 6.474949514392014e+16
- y tested = 8224428196.629629
-y predicted = 7388693622.35145
-error 6.984522786439293e+17
- y tested = 4059018123.5159216
-y predicted = 5110228366.887798
-error 1.1050429757699603e+18
- y tested = 5947637003.818383
-y predicted = 4025149001.0755606
-error 3.6959601206900874e+18
- y tested = 997516184.7000968
-y predicted = 649727190.6972284
-error 1.2095718434952725e+17
- y tested = 6532788063.289651
-y predicted = 6776624364.123687
-error 5.945614160442644e+16
- y tested = 1980229389.772511
-y predicted = 3422724319.015572
-error 2.0807916208919437e+18
- y tested = 5035525633.343237
-y predicted = 5235489368.356502
-error 3.998549532045513e+16
- y tested = 5026691733.102776
-y predicted = 5307056137.055306
-error 7.86041990036579e+16
- y tested = 1014996574.3865615
-y predicted = 1331978356.4216025
-error 1.0047745014211022e+17
- y tested = 7665772326.561901
-y predicted = 6719829693.72424
-error 8.948074646198455e+17
- y tested = 3029054692.61153
-y predicted = 4673681157.526371
-error 2.704796209098287e+18
- y tested = 4062233415.93208
-y predicted = 4678254504.090993
-error 3.7948198105649146e+17
- y tested = 5822958761.806049
-y predicted = 6234944310.562117
-error 1.697320923838379e+17
- y tested = 6611133148.221605
-y predicted = 6344012279.097165
-error 7.13535587217963e+16
- y tested = 5377240292.736961
-y predicted = 3031255824.4015875
-error 5.503643125670807e+18
-error squared vector [2.898591724654144e+18, 1.8188033850072212e+18, 3.2588887014440723e+17, 3.660911695189244e+18, 6.474949514392014e+16, 6.984522786439293e+17, 1.1050429757699603e+18, 3.6959601206900874e+18, 1.2095718434952725e+17, 5.945614160442644e+16, 2.0807916208919437e+18, 3.998549532045513e+16, 7.86041990036579e+16, 1.0047745014211022e+17, 8.948074646198455e+17, 2.704796209098287e+18, 3.7948198105649146e+17, 1.697320923838379e+17, 7.13535587217963e+16, 5.503643125670807e+18]
-Total loo_error 1.323624353405305e+18
-iteration 156current difference of loo_error -180542161259520.0
- getting loo error of with lamda = 0.010459800298318646, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0101-0200'
+--- Neighbour 0 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0101-0200'
+--- Neighbour 0 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (37.334916995372765 mAh) it is NOT far from the median.
+--- Median :37.334916995372765, the gap is : 10
+--- So No we don't romove this configuration '0101-0200'
+ --- remove_aberrant_points: The value [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0]
+--- Computing the list of the 10 first neighbours of '3330-2220'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1563073222.9446745
-error 2.44319790002614e+18
- y tested = 5326600510.288329
-y predicted = 4001428513.06417
-error 1.7560808222270671e+18
- y tested = 5072151352.996373
-y predicted = 4318198851.132248
-error 5.6844437506717376e+17
- y tested = 7650055845.407672
-y predicted = 5931169917.147322
-error 2.954568834371446e+18
- y tested = 5789616901.049658
-y predicted = 6096266194.495423
-error 9.40337891707872e+16
- y tested = 8224428196.629629
-y predicted = 7577062500.969541
-error 4.190823439174704e+17
- y tested = 4059018123.5159216
-y predicted = 5083073688.692549
-error 1.0486898005692212e+18
- y tested = 5947637003.818383
-y predicted = 4074926254.8663974
-error 3.5070455492403077e+18
- y tested = 997516184.7000968
-y predicted = 459625448.4922624
-error 2.893264440982062e+17
- y tested = 6532788063.289651
-y predicted = 6581396418.66158
-error 2362772211963755.5
- y tested = 1980229389.772511
-y predicted = 3563721842.3232455
-error 2.50744834728514e+18
- y tested = 5035525633.343237
-y predicted = 5150864499.890657
-error 1.3303054136443676e+16
- y tested = 5026691733.102776
-y predicted = 5319104487.819397
-error 8.550521912096299e+16
- y tested = 1014996574.3865615
-y predicted = 1167671659.2308514
-error 2.330968153221112e+16
- y tested = 7665772326.561901
-y predicted = 6850340557.379453
-error 6.649289701920178e+17
- y tested = 3029054692.61153
-y predicted = 4845654649.550795
-error 3.300035403551739e+18
- y tested = 4062233415.93208
-y predicted = 4929237843.480824
-error 7.516966773891264e+17
- y tested = 5822958761.806049
-y predicted = 6435197000.6179905
-error 3.7483566106354746e+17
- y tested = 6611133148.221605
-y predicted = 6346499468.648123
-error 7.0030984364600616e+16
- y tested = 5377240292.736961
-y predicted = 3018149272.7302303
-error 5.565310440676399e+18
-error squared vector [2.44319790002614e+18, 1.7560808222270671e+18, 5.6844437506717376e+17, 2.954568834371446e+18, 9.40337891707872e+16, 4.190823439174704e+17, 1.0486898005692212e+18, 3.5070455492403077e+18, 2.893264440982062e+17, 2362772211963755.5, 2.50744834728514e+18, 1.3303054136443676e+16, 8.550521912096299e+16, 2.330968153221112e+16, 6.649289701920178e+17, 3.300035403551739e+18, 7.516966773891264e+17, 3.7483566106354746e+17, 7.0030984364600616e+16, 5.565310440676399e+18]
-Total loo_error 1.3219618535105987e+18
-iteration 157current difference of loo_error 1662499894706432.0
- getting loo error of with lamda = 0.018195401521541806, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1698554861.2526715
-error 2.8850886164019896e+18
- y tested = 5326600510.288329
-y predicted = 3978677433.8366885
-error 1.8168966200308554e+18
- y tested = 5072151352.996373
-y predicted = 4496791378.781477
-error 3.31039099928566e+17
- y tested = 7650055845.407672
-y predicted = 5742094358.853738
-error 3.640317034173098e+18
- y tested = 5789616901.049658
-y predicted = 6044684291.059463
-error 6.505937344641383e+16
- y tested = 8224428196.629629
-y predicted = 7393886036.344867
-error 6.898002800104799e+17
- y tested = 4059018123.5159216
-y predicted = 5109514901.884503
-error 1.1035434813627692e+18
- y tested = 5947637003.818383
-y predicted = 4026966046.21119
-error 3.688976927395732e+18
- y tested = 997516184.7000968
-y predicted = 644518374.5613059
-error 1.2460745396278192e+17
- y tested = 6532788063.289651
-y predicted = 6772798235.358789
-error 5.760488269665748e+16
- y tested = 1980229389.772511
-y predicted = 3425846605.168179
-error 2.0898091334483254e+18
- y tested = 5035525633.343237
-y predicted = 5233779509.740581
-error 3.930459950657321e+16
- y tested = 5026691733.102776
-y predicted = 5307328372.058019
-error 7.875692312409547e+16
- y tested = 1014996574.3865615
-y predicted = 1327539731.5949945
-error 9.768322511781528e+16
- y tested = 7665772326.561901
-y predicted = 6723277292.98685
-error 8.882968883136371e+17
- y tested = 3029054692.61153
-y predicted = 4677831168.753402
-error 2.7184638682788086e+18
- y tested = 4062233415.93208
-y predicted = 4684137853.24345
-error 3.867651291475722e+17
- y tested = 5822958761.806049
-y predicted = 6238877267.452518
-error 1.7298820333919197e+17
- y tested = 6611133148.221605
-y predicted = 6344059188.420741
-error 7.132850000371364e+16
- y tested = 5377240292.736961
-y predicted = 3031266080.699878
-error 5.503595003543013e+18
-error squared vector [2.8850886164019896e+18, 1.8168966200308554e+18, 3.31039099928566e+17, 3.640317034173098e+18, 6.505937344641383e+16, 6.898002800104799e+17, 1.1035434813627692e+18, 3.688976927395732e+18, 1.2460745396278192e+17, 5.760488269665748e+16, 2.0898091334483254e+18, 3.930459950657321e+16, 7.875692312409547e+16, 9.768322511781528e+16, 8.882968883136371e+17, 2.7184638682788086e+18, 3.867651291475722e+17, 1.7298820333919197e+17, 7.132850000371364e+16, 5.503595003543013e+18]
-Total loo_error 1.322496262161604e+18
-iteration 158current difference of loo_error 534408651005440.0
- getting loo error of with lamda = 0.017960989363262316, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1694690644.4026184
-error 2.871976379943314e+18
- y tested = 5326600510.288329
-y predicted = 3979363904.1898966
-error 1.8150464728116232e+18
- y tested = 5072151352.996373
-y predicted = 4492388575.341627
-error 3.361248783539465e+17
- y tested = 7650055845.407672
-y predicted = 5747349253.866537
-error 3.620292373494083e+18
- y tested = 5789616901.049658
-y predicted = 6045311080.58737
-error 6.537951344946374e+16
- y tested = 8224428196.629629
-y predicted = 7398948400.703914
-error 6.814168934815608e+17
- y tested = 4059018123.5159216
-y predicted = 5108817017.113602
-error 1.1020777169989133e+18
- y tested = 5947637003.818383
-y predicted = 4028718600.394243
-error 3.682247838999852e+18
- y tested = 997516184.7000968
-y predicted = 639439821.5497211
-error 1.2821868184699976e+17
- y tested = 6532788063.289651
-y predicted = 6769002959.273809
-error 5.5797477084806824e+16
- y tested = 1980229389.772511
-y predicted = 3428927855.1167135
-error 2.0987272434906476e+18
- y tested = 5035525633.343237
-y predicted = 5232085133.280324
-error 3.863563701551773e+16
- y tested = 5026691733.102776
-y predicted = 5307595260.209178
-error 7.890679154081734e+16
- y tested = 1014996574.3865615
-y predicted = 1323208524.204919
-error 9.499460601083378e+16
- y tested = 7665772326.561901
-y predicted = 6726647226.284686
-error 8.819559539706892e+17
- y tested = 3029054692.61153
-y predicted = 4681901508.710678
-error 2.7319025974890916e+18
- y tested = 4062233415.93208
-y predicted = 4689918777.745604
-error 3.939889134349743e+17
- y tested = 5822958761.806049
-y predicted = 6242777307.282594
-error 1.7624761112604138e+17
- y tested = 6611133148.221605
-y predicted = 6344106378.723179
-error 7.130329562876576e+16
- y tested = 5377240292.736961
-y predicted = 3031261066.9905114
-error 5.503618527633913e+18
-error squared vector [2.871976379943314e+18, 1.8150464728116232e+18, 3.361248783539465e+17, 3.620292373494083e+18, 6.537951344946374e+16, 6.814168934815608e+17, 1.1020777169989133e+18, 3.682247838999852e+18, 1.2821868184699976e+17, 5.5797477084806824e+16, 2.0987272434906476e+18, 3.863563701551773e+16, 7.890679154081734e+16, 9.499460601083378e+16, 8.819559539706892e+17, 2.7319025974890916e+18, 3.939889134349743e+17, 1.7624761112604138e+17, 7.130329562876576e+16, 5.503618527633913e+18]
-Total loo_error 1.321442970190293e+18
-iteration 159current difference of loo_error -518883320305664.0
- getting loo error of with lamda = 0.010687109057862394, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1567308434.2281241
-error 2.4564557277413965e+18
- y tested = 5326600510.288329
-y predicted = 4000767829.834277
-error 1.7578322965599762e+18
- y tested = 5072151352.996373
-y predicted = 4324805279.957509
-error 5.5852615288661126e+17
- y tested = 7650055845.407672
-y predicted = 5925159435.416283
-error 2.9752676252011827e+18
- y tested = 5789616901.049658
-y predicted = 6093367813.809035
-error 9.226461700215494e+16
- y tested = 8224428196.629629
-y predicted = 7571134502.352567
-error 4.267926509821719e+17
- y tested = 4059018123.5159216
-y predicted = 5083952759.753388
-error 1.0504910085592284e+18
- y tested = 5947637003.818383
-y predicted = 4074002912.195224
-error 3.510504709292542e+18
- y tested = 997516184.7000968
-y predicted = 465670504.1874989
-error 2.8285982787990838e+17
- y tested = 6532788063.289651
-y predicted = 6589845520.196287
-error 3255553388652651.5
- y tested = 1980229389.772511
-y predicted = 3558339152.9452496
-error 2.490430424621117e+18
- y tested = 5035525633.343237
-y predicted = 5154407320.083842
-error 1.4132855442291422e+16
- y tested = 5026691733.102776
-y predicted = 5318608743.249177
-error 8.521554081281422e+16
- y tested = 1014996574.3865615
-y predicted = 1172956513.4718623
-error 2.495134235583194e+16
- y tested = 7665772326.561901
-y predicted = 6846094366.25062
-error 6.718719586200623e+17
- y tested = 3029054692.61153
-y predicted = 4839367601.206804
-error 3.2772328270266824e+18
- y tested = 4062233415.93208
-y predicted = 4919870249.99602
-error 7.355409391432191e+17
- y tested = 5822958761.806049
-y predicted = 6426535249.452729
-error 3.643045764399027e+17
- y tested = 6611133148.221605
-y predicted = 6346415376.634954
-error 7.007549859380225e+16
- y tested = 5377240292.736961
-y predicted = 3019121822.586771
-error 5.560722719263475e+18
-error squared vector [2.4564557277413965e+18, 1.7578322965599762e+18, 5.5852615288661126e+17, 2.9752676252011827e+18, 9.226461700215494e+16, 4.267926509821719e+17, 1.0504910085592284e+18, 3.510504709292542e+18, 2.8285982787990838e+17, 3255553388652651.5, 2.490430424621117e+18, 1.4132855442291422e+16, 8.521554081281422e+16, 2.495134235583194e+16, 6.718719586200623e+17, 3.2772328270266824e+18, 7.355409391432191e+17, 3.643045764399027e+17, 7.007549859380225e+16, 5.560722719263475e+18]
-Total loo_error 1.320436442590651e+18
-iteration 160current difference of loo_error 1006527599642112.0
- getting loo error of with lamda = 0.017740568747947168, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1691044176.6963208
-error 2.859630407256697e+18
- y tested = 5326600510.288329
-y predicted = 3980010071.341657
-error 1.8133058102625907e+18
- y tested = 5072151352.996373
-y predicted = 4488206476.913475
-error 3.409916183034713e+17
- y tested = 7650055845.407672
-y predicted = 5752316524.881543
-error 3.601414528670973e+18
- y tested = 5789616901.049658
-y predicted = 6045934913.173742
-error 6.569892333924231e+16
- y tested = 8224428196.629629
-y predicted = 7403733347.026339
-error 6.735400361653677e+17
- y tested = 4059018123.5159216
-y predicted = 5108155308.827616
-error 1.100688833603744e+18
- y tested = 5947637003.818383
-y predicted = 4030357566.464448
-error 3.6759604409002225e+18
- y tested = 997516184.7000968
-y predicted = 634639273.0163807
-error 1.3167965303311155e+17
- y tested = 6532788063.289651
-y predicted = 6765355532.83602
-error 5.408762789120153e+16
- y tested = 1980229389.772511
-y predicted = 3431874350.502364
-error 2.1072730920123768e+18
- y tested = 5035525633.343237
-y predicted = 5230458386.646497
-error 3.799877831038956e+16
- y tested = 5026691733.102776
-y predicted = 5307848962.538811
-error 7.904938766414731e+16
- y tested = 1014996574.3865615
-y predicted = 1319111144.4945385
-error 9.248567175195968e+16
- y tested = 7665772326.561901
-y predicted = 6729840380.939592
-error 8.759686068363603e+17
- y tested = 3029054692.61153
-y predicted = 4685771308.976129
-error 2.744709946938565e+18
- y tested = 4062233415.93208
-y predicted = 4695424405.786392
-error 4.0093082963268397e+17
- y tested = 5822958761.806049
-y predicted = 6246524407.261975
-error 1.7940785601049517e+17
- y tested = 6611133148.221605
-y predicted = 6344152315.470031
-error 7.12787650567242e+16
- y tested = 5377240292.736961
-y predicted = 3031242386.366601
-error 5.503706176694114e+18
-error squared vector [2.859630407256697e+18, 1.8133058102625907e+18, 3.409916183034713e+17, 3.601414528670973e+18, 6.569892333924231e+16, 6.735400361653677e+17, 1.100688833603744e+18, 3.6759604409002225e+18, 1.3167965303311155e+17, 5.408762789120153e+16, 2.1072730920123768e+18, 3.799877831038956e+16, 7.904938766414731e+16, 9.248567175195968e+16, 8.759686068363603e+17, 2.744709946938565e+18, 4.0093082963268397e+17, 1.7940785601049517e+17, 7.12787650567242e+16, 5.503706176694114e+18]
-Total loo_error 1.3204903495167217e+18
-iteration 161current difference of loo_error 53906926070784.0
- getting loo error of with lamda = 0.017526827545217324, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1687496210.7116508
-error 2.847643460884931e+18
- y tested = 5326600510.288329
-y predicted = 3980637245.970362
-error 1.8116171088934774e+18
- y tested = 5072151352.996373
-y predicted = 4484111238.708568
-error 3.457911760116154e+17
- y tested = 7650055845.407672
-y predicted = 5757157513.626748
-error 3.5830640944590044e+18
- y tested = 5789616901.049658
-y predicted = 6046572822.235721
-error 6.602634543257812e+16
- y tested = 8224428196.629629
-y predicted = 7408396402.878014
-error 6.659078884134792e+17
- y tested = 4059018123.5159216
-y predicted = 5107508533.8059635
-error 1.0993321404701805e+18
- y tested = 5947637003.818383
-y predicted = 4031938078.4921227
-error 3.6699023724961894e+18
- y tested = 997516184.7000968
-y predicted = 629960621.4024289
-error 1.3509709211106602e+17
- y tested = 6532788063.289651
-y predicted = 6761743723.260907
-error 5.242069423287351e+16
- y tested = 1980229389.772511
-y predicted = 3434778001.246008
-error 2.1157116631394778e+18
- y tested = 5035525633.343237
-y predicted = 5228849122.647355
-error 3.737397151671949e+16
- y tested = 5026691733.102776
-y predicted = 5308097644.768432
-error 7.918928712037904e+16
- y tested = 1014996574.3865615
-y predicted = 1315114742.1354263
-error 9.007091461293573e+16
- y tested = 7665772326.561901
-y predicted = 6732959583.530763
-error 8.701396135612767e+17
- y tested = 3029054692.61153
-y predicted = 4689564032.50712
-error 2.757291267880489e+18
- y tested = 4062233415.93208
-y predicted = 4700829248.966091
-error 4.0780463796840294e+17
- y tested = 5822958761.806049
-y predicted = 6250234045.943505
-error 1.825641684347437e+17
- y tested = 6611133148.221605
-y predicted = 6344198335.840615
-error 7.1254194060874344e+16
- y tested = 5377240292.736961
-y predicted = 3031210854.3585377
-error 5.503854125738182e+18
-error squared vector [2.847643460884931e+18, 1.8116171088934774e+18, 3.457911760116154e+17, 3.5830640944590044e+18, 6.602634543257812e+16, 6.659078884134792e+17, 1.0993321404701805e+18, 3.6699023724961894e+18, 1.3509709211106602e+17, 5.242069423287351e+16, 2.1157116631394778e+18, 3.737397151671949e+16, 7.918928712037904e+16, 9.007091461293573e+16, 8.701396135612767e+17, 2.757291267880489e+18, 4.0780463796840294e+17, 1.825641684347437e+17, 7.1254194060874344e+16, 5.503854125738182e+18]
-Total loo_error 1.319602810871944e+18
-iteration 162current difference of loo_error -833631718706944.0
- getting loo error of with lamda = 0.010894373254448907, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1571155204.6937282
-error 2.468528676974332e+18
- y tested = 5326600510.288329
-y predicted = 4000164315.9954586
-error 1.7594329775301537e+18
- y tested = 5072151352.996373
-y predicted = 4330728398.54351
-error 5.497079973896118e+17
- y tested = 7650055845.407672
-y predicted = 5919700356.952449
-error 2.9941301164271135e+18
- y tested = 5789616901.049658
-y predicted = 6090834846.523154
-error 9.073225067527427e+16
- y tested = 8224428196.629629
-y predicted = 7565763345.101389
-error 4.338393866387187e+17
- y tested = 4059018123.5159216
-y predicted = 5084749354.247957
-error 1.0521245576990565e+18
- y tested = 5947637003.818383
-y predicted = 4073120796.4646893
-error 3.513811011631677e+18
- y tested = 997516184.7000968
-y predicted = 471143227.69515973
-error 2.7706848986612138e+17
- y tested = 6532788063.289651
-y predicted = 6597333042.506005
-error 4166054342039617.5
- y tested = 1980229389.772511
-y predicted = 3553517254.7152147
-error 2.4752347059759713e+18
- y tested = 5035525633.343237
-y predicted = 5157556207.5609045
-error 1.4891461043893676e+16
- y tested = 5026691733.102776
-y predicted = 5318169587.031279
-error 8.495933933076576e+16
- y tested = 1014996574.3865615
-y predicted = 1177739204.709976
-error 2.6485163724583536e+16
- y tested = 7665772326.561901
-y predicted = 6842251320.06864
-error 6.781868481356742e+17
- y tested = 3029054692.61153
-y predicted = 4833734083.375406
-error 3.256867703447876e+18
- y tested = 4062233415.93208
-y predicted = 4911484734.850228
-error 7.212278026842148e+17
- y tested = 5822958761.806049
-y predicted = 6418858732.190689
-error 3.550967747044145e+17
- y tested = 6611133148.221605
-y predicted = 6346337379.913968
-error 7.011679891363189e+16
- y tested = 5377240292.736961
-y predicted = 3019962017.523204
-error 5.556760866794748e+18
-error squared vector [2.468528676974332e+18, 1.7594329775301537e+18, 5.497079973896118e+17, 2.9941301164271135e+18, 9.073225067527427e+16, 4.338393866387187e+17, 1.0521245576990565e+18, 3.513811011631677e+18, 2.7706848986612138e+17, 4166054342039617.5, 2.4752347059759713e+18, 1.4891461043893676e+16, 8.495933933076576e+16, 2.6485163724583536e+16, 6.781868481356742e+17, 3.256867703447876e+18, 7.212278026842148e+17, 3.550967747044145e+17, 7.011679891363189e+16, 5.556760866794748e+18]
-Total loo_error 1.3191684491964936e+18
-iteration 163current difference of loo_error 434361675450368.0
- getting loo error of with lamda = 0.017325844081860706, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1684149187.656114
-error 2.8363584860020577e+18
- y tested = 5326600510.288329
-y predicted = 3981227485.684891
-error 1.8100285753306028e+18
- y tested = 5072151352.996373
-y predicted = 4480223817.478195
-error 3.503782073046239e+17
- y tested = 7650055845.407672
-y predicted = 5761731451.829539
-error 3.5657690153822223e+18
- y tested = 5789616901.049658
-y predicted = 6047203245.374
-error 6.635072478237836e+16
- y tested = 8224428196.629629
-y predicted = 7412802065.876673
-error 6.58736976121015e+17
- y tested = 4059018123.5159216
-y predicted = 5106895725.859146
-error 1.098047469492585e+18
- y tested = 5947637003.818383
-y predicted = 4033415938.5223417
-error 3.6642422868231117e+18
- y tested = 997516184.7000968
-y predicted = 625539773.7355475
-error 1.3836645031406728e+17
- y tested = 6532788063.289651
-y predicted = 6758278363.9371805
-error 5.084587568611329e+16
- y tested = 1980229389.772511
-y predicted = 3437550876.9929333
-error 2.1237859171143434e+18
- y tested = 5035525633.343237
-y predicted = 5227306630.427276
-error 3.677995084254807e+16
- y tested = 5026691733.102776
-y predicted = 5308333994.36695
-error 7.93223633299975e+16
- y tested = 1014996574.3865615
-y predicted = 1311335763.377791
-error 8.781691493197958e+16
- y tested = 7665772326.561901
-y predicted = 6735913317.290531
-error 8.646377771231337e+17
- y tested = 3029054692.61153
-y predicted = 4693167301.461827
-error 2.769270774934543e+18
- y tested = 4062233415.93208
-y predicted = 4705972128.644993
-error 4.143995302452784e+17
- y tested = 5822958761.806049
-y predicted = 6253792538.289783
-error 1.8561774295923536e+17
- y tested = 6611133148.221605
-y predicted = 6344242958.057651
-error 7.123037360575192e+16
- y tested = 5377240292.736961
-y predicted = 3031168717.8762574
-error 5.504051834369383e+18
-error squared vector [2.8363584860020577e+18, 1.8100285753306028e+18, 3.503782073046239e+17, 3.5657690153822223e+18, 6.635072478237836e+16, 6.58736976121015e+17, 1.098047469492585e+18, 3.6642422868231117e+18, 1.3836645031406728e+17, 5.084587568611329e+16, 2.1237859171143434e+18, 3.677995084254807e+16, 7.93223633299975e+16, 8.781691493197958e+16, 8.646377771231337e+17, 2.769270774934543e+18, 4.143995302452784e+17, 1.8561774295923536e+17, 7.123037360575192e+16, 5.504051834369383e+18]
-Total loo_error 1.318801862334749e+18
-iteration 164current difference of loo_error -366586861744640.0
- getting loo error of with lamda = 0.011089266309825022, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1574759525.2815888
-error 2.4798675622026353e+18
- y tested = 5326600510.288329
-y predicted = 3999595931.346519
-error 1.7609411525325307e+18
- y tested = 5072151352.996373
-y predicted = 4336213476.252522
-error 5.416045584262472e+17
- y tested = 7650055845.407672
-y predicted = 5914586217.288944
-error 3.011854830122555e+18
- y tested = 5789616901.049658
-y predicted = 6088544579.379599
-error 8.935775687172856e+16
- y tested = 8224428196.629629
-y predicted = 7560741872.277357
-error 4.4047953713222925e+17
- y tested = 4059018123.5159216
-y predicted = 5085493986.624818
-error 1.0536526975451535e+18
- y tested = 5947637003.818383
-y predicted = 4072257871.9355407
-error 3.5170468883016443e+18
- y tested = 997516184.7000968
-y predicted = 476255794.6394198
-error 2.7171239424620918e+17
- y tested = 6532788063.289651
-y predicted = 6604192567.126215
-error 5098603168145892.0
- y tested = 1980229389.772511
-y predicted = 3549056863.8943973
-error 2.4612196435596575e+18
- y tested = 5035525633.343237
-y predicted = 5160448640.945919
-error 1.5605757828499774e+16
- y tested = 5026691733.102776
-y predicted = 5317767292.186963
-error 8.472498109617234e+16
- y tested = 1014996574.3865615
-y predicted = 1182205373.9339297
-error 2.7958782646071948e+16
- y tested = 7665772326.561901
-y predicted = 6838662632.437785
-error 6.841104461140886e+17
- y tested = 3029054692.61153
-y predicted = 4828520161.610322
-error 3.238075974119043e+18
- y tested = 4062233415.93208
-y predicted = 4903731131.66274
-error 7.081184055799186e+17
- y tested = 5822958761.806049
-y predicted = 6411825682.451605
-error 3.4676425023057894e+17
- y tested = 6611133148.221605
-y predicted = 6346263200.718428
-error 7.015608909033608e+16
- y tested = 5377240292.736961
-y predicted = 3020713182.314355
-error 5.553220022156719e+18
-error squared vector [2.4798675622026353e+18, 1.7609411525325307e+18, 5.416045584262472e+17, 3.011854830122555e+18, 8.935775687172856e+16, 4.4047953713222925e+17, 1.0536526975451535e+18, 3.5170468883016443e+18, 2.7171239424620918e+17, 5098603168145892.0, 2.4612196435596575e+18, 1.5605757828499774e+16, 8.472498109617234e+16, 2.7958782646071948e+16, 6.841104461140886e+17, 3.238075974119043e+18, 7.081184055799186e+17, 3.4676425023057894e+17, 7.015608909033608e+16, 5.553220022156719e+18]
-Total loo_error 1.3180785166485082e+18
-iteration 165current difference of loo_error 723345686240768.0
- getting loo error of with lamda = 0.017136856876647504, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3330-2220'
+--- Neighbour 0 in the list of neghbours, And at position 61 in the X datas point
+--------------
+ --- Configuration: 3330-2220
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 23 in the X datas point
+--------------
+ --- Configuration: 3333-3300
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3330-2220'
+--- Neighbour 0 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 61 in the X datas point
+--------------
+ --- Configuration: 3330-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9229945635.620207
+ --- Energy: 51.28077619994492
+ --- Workload: 473319000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 23 in the X datas point
+--------------
+ --- Configuration: 3333-3300
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9963434196.49885
+ --- Energy: 75.09852863759252
+ --- Workload: 748237000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 31 in the X datas point
+--------------
+ --- Configuration: 3000-3330
+ --- Energy efficiency: 8224428196.629629
+ --- Energy: 49.410116578739654
+ --- Workload: 406369000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (49.410116578739654 mAh) it is NOT far from the median.
+--- Median :49.410116578739654, the gap is : 10
+--- So No we don't romove this configuration '3330-2220'
+ --- remove_aberrant_points: The value [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '2002-2000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1680992324.0265203
-error 2.8257351931559163e+18
- y tested = 5326600510.288329
-y predicted = 3981782912.321336
-error 1.8085343718017137e+18
- y tested = 5072151352.996373
-y predicted = 4476535347.761884
-error 3.547584256914913e+17
- y tested = 7650055845.407672
-y predicted = 5766051844.761546
-error 3.549471074450607e+18
- y tested = 5789616901.049658
-y predicted = 6047823929.647506
-error 6.6670869617329864e+16
- y tested = 8224428196.629629
-y predicted = 7416963428.3000145
-error 6.519993520935982e+17
- y tested = 4059018123.5159216
-y predicted = 5106315361.389533
-error 1.0968315044576959e+18
- y tested = 5947637003.818383
-y predicted = 4034797869.5289164
-error 3.658953553669277e+18
- y tested = 997516184.7000968
-y predicted = 621363586.2061659
-error 1.4149077735373642e+17
- y tested = 6532788063.289651
-y predicted = 6754957112.600804
-error 4.935908647182172e+16
- y tested = 1980229389.772511
-y predicted = 3440196562.849673
-error 2.1315041464629192e+18
- y tested = 5035525633.343237
-y predicted = 5225829701.861765
-error 3.621563849470459e+16
- y tested = 5026691733.102776
-y predicted = 5308558557.231434
-error 7.944890654437598e+16
- y tested = 1014996574.3865615
-y predicted = 1307763429.8213115
-error 8.571243164115178e+16
- y tested = 7665772326.561901
-y predicted = 6738709247.198867
-error 8.594459531180716e+17
- y tested = 3029054692.61153
-y predicted = 4696588864.954344
-error 2.7806702159310336e+18
- y tested = 4062233415.93208
-y predicted = 4710862794.498713
-error 4.207200707397362e+17
- y tested = 5822958761.806049
-y predicted = 6257202448.972487
-error 1.8856757984390336e+17
- y tested = 6611133148.221605
-y predicted = 6344286127.743338
-error 7.120733233812901e+16
- y tested = 5377240292.736961
-y predicted = 3031117676.692977
-error 5.50429132951307e+18
-error squared vector [2.8257351931559163e+18, 1.8085343718017137e+18, 3.547584256914913e+17, 3.549471074450607e+18, 6.6670869617329864e+16, 6.519993520935982e+17, 1.0968315044576959e+18, 3.658953553669277e+18, 1.4149077735373642e+17, 4.935908647182172e+16, 2.1315041464629192e+18, 3.621563849470459e+16, 7.944890654437598e+16, 8.571243164115178e+16, 8.594459531180716e+17, 2.7806702159310336e+18, 4.207200707397362e+17, 1.8856757984390336e+17, 7.120733233812901e+16, 5.50429132951307e+18]
-Total loo_error 1.3180793906695142e+18
-iteration 166current difference of loo_error 874021006080.0
- getting loo error of with lamda = 0.016953596556440763, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1677922182.3170362
-error 2.8154228496319114e+18
- y tested = 5326600510.288329
-y predicted = 3982321871.3663974
-error 1.8070850590618012e+18
- y tested = 5072151352.996373
-y predicted = 4472927391.671976
-error 3.590693558253025e+17
- y tested = 7650055845.407672
-y predicted = 5770259419.296119
-error 3.533634603621768e+18
- y tested = 5789616901.049658
-y predicted = 6048452388.945094
-error 6.699580979406854e+16
- y tested = 8224428196.629629
-y predicted = 7421016102.3623
-error 6.45470993215016e+17
- y tested = 4059018123.5159216
-y predicted = 5105748728.592211
-error 1.0956449596033745e+18
- y tested = 5947637003.818383
-y predicted = 4036130444.806683
-error 3.65385732514475e+18
- y tested = 997516184.7000968
-y predicted = 617295951.516391
-error 1.445674257222716e+17
- y tested = 6532788063.289651
-y predicted = 6751676976.374896
-error 4.791235627164e+16
- y tested = 1980229389.772511
-y predicted = 3442798177.034302
-error 2.1391074574724268e+18
- y tested = 5035525633.343237
-y predicted = 5224372438.872629
-error 3.5663115958656092e+16
- y tested = 5026691733.102776
-y predicted = 5308778555.32834
-error 7.957297527331694e+16
- y tested = 1014996574.3865615
-y predicted = 1304281621.5523756
-error 8.368583851372725e+16
- y tested = 7665772326.561901
-y predicted = 6741437739.401822
-error 8.543944290203937e+17
- y tested = 3029054692.61153
-y predicted = 4699938280.000975
-error 2.7918519626074204e+18
- y tested = 4062233415.93208
-y predicted = 4715656969.106186
-error 4.269623398426739e+17
- y tested = 5822958761.806049
-y predicted = 6260569629.159732
-error 1.915032712260423e+17
- y tested = 6611133148.221605
-y predicted = 6344329125.102091
-error 7.118438675275841e+16
- y tested = 5377240292.736961
-y predicted = 3031057266.278935
-error 5.504574793639745e+18
-error squared vector [2.8154228496319114e+18, 1.8070850590618012e+18, 3.590693558253025e+17, 3.533634603621768e+18, 6.699580979406854e+16, 6.45470993215016e+17, 1.0956449596033745e+18, 3.65385732514475e+18, 1.445674257222716e+17, 4.791235627164e+16, 2.1391074574724268e+18, 3.5663115958656092e+16, 7.957297527331694e+16, 8.368583851372725e+16, 8.543944290203937e+17, 2.7918519626074204e+18, 4.269623398426739e+17, 1.915032712260423e+17, 7.118438675275841e+16, 5.504574793639745e+18]
-Total loo_error 1.3174080654099533e+18
-iteration 167current difference of loo_error -670451238554880.0
- getting loo error of with lamda = 0.011266973286995196, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1578035290.5809968
-error 2.490195378056045e+18
- y tested = 5326600510.288329
-y predicted = 3999076957.3191476
-error 1.7623187836879194e+18
- y tested = 5072151352.996373
-y predicted = 4341145812.989931
-error 5.3436909952010995e+17
- y tested = 7650055845.407672
-y predicted = 5909939524.974751
-error 3.0280048086370063e+18
- y tested = 5789616901.049658
-y predicted = 6086530592.488464
-error 8.815774016381882e+16
- y tested = 8224428196.629629
-y predicted = 7556187354.372146
-error 4.465458232609909e+17
- y tested = 4059018123.5159216
-y predicted = 5086169157.475534
-error 1.0550392465643017e+18
- y tested = 5947637003.818383
-y predicted = 4071443904.757279
-error 3.5201005449645107e+18
- y tested = 997516184.7000968
-y predicted = 480889725.20757747
-error 2.6690289864777578e+17
- y tested = 6532788063.289651
-y predicted = 6610299637.046881
-error 6008044066322476.0
- y tested = 1980229389.772511
-y predicted = 3545051078.1313515
-error 2.448666916358212e+18
- y tested = 5035525633.343237
-y predicted = 5163029947.408881
-error 1.625735010535045e+16
- y tested = 5026691733.102776
-y predicted = 5317409061.58397
-error 8.451656507924274e+16
- y tested = 1014996574.3865615
-y predicted = 1186251780.2836256
-error 2.9328345546845816e+16
- y tested = 7665772326.561901
-y predicted = 6835411479.559885
-error 6.894991362339055e+17
- y tested = 3029054692.61153
-y predicted = 4823834261.42751
-error 3.2212337006392765e+18
- y tested = 4062233415.93208
-y predicted = 4896769017.609139
-error 6.964496704664919e+17
- y tested = 5822958761.806049
-y predicted = 6405563863.4356365
-error 3.3942870444482157e+17
- y tested = 6611133148.221605
-y predicted = 6346195072.933411
-error 7.01921837374131e+16
- y tested = 5377240292.736961
-y predicted = 3021366495.333024
-error 5.550141349294448e+18
-error squared vector [2.490195378056045e+18, 1.7623187836879194e+18, 5.3436909952010995e+17, 3.0280048086370063e+18, 8.815774016381882e+16, 4.465458232609909e+17, 1.0550392465643017e+18, 3.5201005449645107e+18, 2.6690289864777578e+17, 6008044066322476.0, 2.448666916358212e+18, 1.625735010535045e+16, 8.451656507924274e+16, 2.9328345546845816e+16, 6.894991362339055e+17, 3.2212337006392765e+18, 6.964496704664919e+17, 3.3942870444482157e+17, 7.01921837374131e+16, 5.550141349294448e+18]
-Total loo_error 1.3171678144737405e+18
-iteration 168current difference of loo_error 240250936212736.0
- getting loo error of with lamda = 0.016781274639184836, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1675027226.3073123
-error 2.805716208591597e+18
- y tested = 5326600510.288329
-y predicted = 3982828967.928079
-error 1.8057219580572452e+18
- y tested = 5072151352.996373
-y predicted = 4469506147.279825
-error 3.631812439731404e+17
- y tested = 7650055845.407672
-y predicted = 5774232185.470329
-error 3.5187144031807273e+18
- y tested = 5789616901.049658
-y predicted = 6049067893.352238
-error 6.731481740679337e+16
- y tested = 8224428196.629629
-y predicted = 7424842642.550228
-error 6.393370582924627e+17
- y tested = 4059018123.5159216
-y predicted = 5105212429.785782
-error 1.0945225264714742e+18
- y tested = 5947637003.818383
-y predicted = 4037376468.77344
-error 3.649095311750193e+18
- y tested = 997516184.7000968
-y predicted = 613454749.6576756
-error 1.4750318588684394e+17
- y tested = 6532788063.289651
-y predicted = 6748537863.89444
-error 4.654797646100612e+16
- y tested = 1980229389.772511
-y predicted = 3445277484.0532084
-error 2.146365918555503e+18
- y tested = 5035525633.343237
-y predicted = 5222979131.03821
-error 3.5138813798079244e+16
- y tested = 5026691733.102776
-y predicted = 5308987516.4531145
-error 7.96909092973815e+16
- y tested = 1014996574.3865615
-y predicted = 1300991520.601413
-error 8.17931092604358e+16
- y tested = 7665772326.561901
-y predicted = 6744019043.438127
-error 8.496291149494573e+17
- y tested = 3029054692.61153
-y predicted = 4703116674.347083
-error 2.802483518692368e+18
- y tested = 4062233415.93208
-y predicted = 4720212341.893557
-error 4.3293626700941856e+17
- y tested = 5822958761.806049
-y predicted = 6263791610.346524
-error 1.9433360035230928e+17
- y tested = 6611133148.221605
-y predicted = 6344370588.101892
-error 7.11622634816234e+16
- y tested = 5377240292.736961
-y predicted = 3030990351.686085
-error 5.50488878588124e+18
-error squared vector [2.805716208591597e+18, 1.8057219580572452e+18, 3.631812439731404e+17, 3.5187144031807273e+18, 6.731481740679337e+16, 6.393370582924627e+17, 1.0945225264714742e+18, 3.649095311750193e+18, 1.4750318588684394e+17, 4.654797646100612e+16, 2.146365918555503e+18, 3.5138813798079244e+16, 7.96909092973815e+16, 8.17931092604358e+16, 8.496291149494573e+17, 2.802483518692368e+18, 4.3293626700941856e+17, 1.9433360035230928e+17, 7.11622634816234e+16, 5.50488878588124e+18]
-Total loo_error 1.316803849567465e+18
-iteration 169current difference of loo_error -363964906275584.0
- getting loo error of with lamda = 0.01143407332797064, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1581106306.1850035
-error 2.499897151194469e+18
- y tested = 5326600510.288329
-y predicted = 3998588376.743019
-error 1.7636162268435663e+18
- y tested = 5072151352.996373
-y predicted = 4345725460.666328
-error 5.2769457704750176e+17
- y tested = 7650055845.407672
-y predicted = 5905584760.555232
-error 3.0431793658862484e+18
- y tested = 5789616901.049658
-y predicted = 6084699181.488946
-error 8.707355222925069e+16
- y tested = 8224428196.629629
-y predicted = 7551925373.132618
-error 4.5226004761145216e+17
- y tested = 4059018123.5159216
-y predicted = 5086800675.20297
-error 1.0563369735523395e+18
- y tested = 5947637003.818383
-y predicted = 4070655787.027414
-error 3.523058488186108e+18
- y tested = 997516184.7000968
-y predicted = 485223272.0366459
-error 2.6244402836520218e+17
- y tested = 6532788063.289651
-y predicted = 6615917961.469985
-error 6910579971472713.0
- y tested = 1980229389.772511
-y predicted = 3541336912.6508102
-error 2.4370566979872195e+18
- y tested = 5035525633.343237
-y predicted = 5165409796.004812
-error 1.6869895710298556e+16
- y tested = 5026691733.102776
-y predicted = 5317079372.848093
-error 8.432498131685627e+16
- y tested = 1014996574.3865615
-y predicted = 1190034356.8204608
-error 3.063822527937706e+16
- y tested = 7665772326.561901
-y predicted = 6832372689.752135
-error 6.945549546346496e+17
- y tested = 3029054692.61153
-y predicted = 4819485761.772626
-error 3.2056434134173455e+18
- y tested = 4062233415.93208
-y predicted = 4890313706.327907
-error 6.857169673420369e+17
- y tested = 5822958761.806049
-y predicted = 6399802994.188112
-error 3.327492684324514e+17
- y tested = 6611133148.221605
-y predicted = 6346130745.504226
-error 7.022627344598422e+16
- y tested = 5377240292.736961
-y predicted = 3021954261.7879825
-error 5.547372287583395e+18
-error squared vector [2.499897151194469e+18, 1.7636162268435663e+18, 5.2769457704750176e+17, 3.0431793658862484e+18, 8.707355222925069e+16, 4.5226004761145216e+17, 1.0563369735523395e+18, 3.523058488186108e+18, 2.6244402836520218e+17, 6910579971472713.0, 2.4370566979872195e+18, 1.6869895710298556e+16, 8.432498131685627e+16, 3.063822527937706e+16, 6.945549546346496e+17, 3.2056434134173455e+18, 6.857169673420369e+17, 3.327492684324514e+17, 7.022627344598422e+16, 5.547372287583395e+18]
-Total loo_error 1.3163811978018609e+18
-iteration 170current difference of loo_error 422651765604096.0
- getting loo error of with lamda = 0.01661923823581471, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1672297904.7796957
-error 2.796580282051844e+18
- y tested = 5326600510.288329
-y predicted = 3983306051.259166
-error 1.8044400036584527e+18
- y tested = 5072151352.996373
-y predicted = 4466263299.2386265
-error 3.6710033368635014e+17
- y tested = 7650055845.407672
-y predicted = 5777982326.135282
-error 3.504659261560913e+18
- y tested = 5789616901.049658
-y predicted = 6049668961.728647
-error 6.762707426338879e+16
- y tested = 8224428196.629629
-y predicted = 7428454824.02084
-error 6.335736099022108e+17
- y tested = 4059018123.5159216
-y predicted = 5104705038.094063
-error 1.0934611233199528e+18
- y tested = 5947637003.818383
-y predicted = 4038541663.5586643
-error 3.6446450182013716e+18
- y tested = 997516184.7000968
-y predicted = 609828197.3156233
-error 1.5030197556222374e+17
- y tested = 6532788063.289651
-y predicted = 6745536579.854035
-error 4.526193130034617e+16
- y tested = 1980229389.772511
-y predicted = 3447638436.983475
-error 2.1532893118365898e+18
- y tested = 5035525633.343237
-y predicted = 5221648204.223955
-error 3.4641611391247984e+16
- y tested = 5026691733.102776
-y predicted = 5309185928.580566
-error 7.98029704786443e+16
- y tested = 1014996574.3865615
-y predicted = 1297883387.2189438
-error 8.002494887446331e+16
- y tested = 7665772326.561901
-y predicted = 6746460249.439204
-error 8.451346951436474e+17
- y tested = 3029054692.61153
-y predicted = 4706131404.984001
-error 2.812586299182057e+18
- y tested = 4062233415.93208
-y predicted = 4724538464.010633
-error 4.386479767103353e+17
- y tested = 5822958761.806049
-y predicted = 6266871768.443531
-error 1.9705875746192886e+17
- y tested = 6611133148.221605
-y predicted = 6344410497.856511
-error 7.114097221778028e+16
- y tested = 5377240292.736961
-y predicted = 3030918227.097293
-error 5.505227235707601e+18
-error squared vector [2.796580282051844e+18, 1.8044400036584527e+18, 3.6710033368635014e+17, 3.504659261560913e+18, 6.762707426338879e+16, 6.335736099022108e+17, 1.0934611233199528e+18, 3.6446450182013716e+18, 1.5030197556222374e+17, 4.526193130034617e+16, 2.1532893118365898e+18, 3.4641611391247984e+16, 7.98029704786443e+16, 8.002494887446331e+16, 8.451346951436474e+17, 2.812586299182057e+18, 4.386479767103353e+17, 1.9705875746192886e+17, 7.114097221778028e+16, 5.505227235707601e+18]
-Total loo_error 1.3162602696255677e+18
-iteration 171current difference of loo_error -120928176293120.0
- getting loo error of with lamda = 0.011591199537299248, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1583985939.7841406
-error 2.50901145716985e+18
- y tested = 5326600510.288329
-y predicted = 3998128472.1000195
-error 1.7648379562482017e+18
- y tested = 5072151352.996373
-y predicted = 4349981638.469116
-error 5.2152909658037984e+17
- y tested = 7650055845.407672
-y predicted = 5901502991.023818
-error 3.057437084573923e+18
- y tested = 5789616901.049658
-y predicted = 6083030414.531549
-error 8.609148989378821e+16
- y tested = 8224428196.629629
-y predicted = 7547935814.4096775
-error 4.5764194320162515e+17
- y tested = 4059018123.5159216
-y predicted = 5087391498.717783
-error 1.0575517988240684e+18
- y tested = 5947637003.818383
-y predicted = 4069895305.694174
-error 3.5259138848743895e+18
- y tested = 997516184.7000968
-y predicted = 489277436.8434228
-error 2.5830662482291994e+17
- y tested = 6532788063.289651
-y predicted = 6621094391.138855
-error 7798007538211113.0
- y tested = 1980229389.772511
-y predicted = 3537890220.476064
-error 2.426307263508083e+18
- y tested = 5035525633.343237
-y predicted = 5167606807.388743
-error 1.7445436537239374e+16
- y tested = 5026691733.102776
-y predicted = 5316775446.431445
-error 8.414856073854973e+16
- y tested = 1014996574.3865615
-y predicted = 1193571643.289855
-error 3.1889055233816016e+16
- y tested = 7665772326.561901
-y predicted = 6829531432.160955
-error 6.992988334684936e+17
- y tested = 3029054692.61153
-y predicted = 4815446515.049017
-error 3.1911957432715264e+18
- y tested = 4062233415.93208
-y predicted = 4884322386.528894
-error 6.758302755769303e+17
- y tested = 5822958761.806049
-y predicted = 6394495104.14718
-error 3.266537906166776e+17
- y tested = 6611133148.221605
-y predicted = 6346070142.629211
-error 7.025839693367342e+16
- y tested = 5377240292.736961
-y predicted = 3022484224.352921
-error 5.544876141591463e+18
-error squared vector [2.50901145716985e+18, 1.7648379562482017e+18, 5.2152909658037984e+17, 3.057437084573923e+18, 8.609148989378821e+16, 4.5764194320162515e+17, 1.0575517988240684e+18, 3.5259138848743895e+18, 2.5830662482291994e+17, 7798007538211113.0, 2.426307263508083e+18, 1.7445436537239374e+16, 8.414856073854973e+16, 3.1889055233816016e+16, 6.992988334684936e+17, 3.1911957432715264e+18, 6.758302755769303e+17, 3.266537906166776e+17, 7.025839693367342e+16, 5.544876141591463e+18]
-Total loo_error 1.3157011420601905e+18
-iteration 172current difference of loo_error 559127565377280.0
- getting loo error of with lamda = 0.016466873426768787, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1669725136.2567585
-error 2.7879820303693635e+18
- y tested = 5326600510.288329
-y predicted = 3983754868.8372173
-error 1.8032344167642478e+18
- y tested = 5072151352.996373
-y predicted = 4463190770.914005
-error 3.708329905300963e+17
- y tested = 7650055845.407672
-y predicted = 5781521497.745111
-error 3.4914206083947505e+18
- y tested = 5789616901.049658
-y predicted = 6050254378.816727
-error 6.793189481677931e+16
- y tested = 8224428196.629629
-y predicted = 7431863902.901742
-error 6.281581596923846e+17
- y tested = 4059018123.5159216
-y predicted = 5104225171.031609
-error 1.0924577721764595e+18
- y tested = 5947637003.818383
-y predicted = 4039631381.886532
-error 3.640485453323551e+18
- y tested = 997516184.7000968
-y predicted = 606405038.4942924
-error 1.5296792868641814e+17
- y tested = 6532788063.289651
-y predicted = 6742669674.805457
-error 4.405029085247179e+16
- y tested = 1980229389.772511
-y predicted = 3449885067.983288
-error 2.1598878124971784e+18
- y tested = 5035525633.343237
-y predicted = 5220377980.0376215
-error 3.417039007842095e+16
- y tested = 5026691733.102776
-y predicted = 5309374260.516512
-error 7.99094113050178e+16
- y tested = 1014996574.3865615
-y predicted = 1294947891.2060761
-error 7.837273978898026e+16
- y tested = 7665772326.561901
-y predicted = 6748768200.84426
-error 8.408965665831749e+17
- y tested = 3029054692.61153
-y predicted = 4708989648.115358
-error 2.8221814547236506e+18
- y tested = 4062233415.93208
-y predicted = 4728644746.849803
-error 4.4410406197553114e+17
- y tested = 5822958761.806049
-y predicted = 6269813722.958489
-error 1.9967935630654874e+17
- y tested = 6611133148.221605
-y predicted = 6344448847.111195
-error 7.11205164587482e+16
- y tested = 5377240292.736961
-y predicted = 3030842042.230514
-error 5.505584749979717e+18
-error squared vector [2.7879820303693635e+18, 1.8032344167642478e+18, 3.708329905300963e+17, 3.4914206083947505e+18, 6.793189481677931e+16, 6.281581596923846e+17, 1.0924577721764595e+18, 3.640485453323551e+18, 1.5296792868641814e+17, 4.405029085247179e+16, 2.1598878124971784e+18, 3.417039007842095e+16, 7.99094113050178e+16, 7.837273978898026e+16, 8.408965665831749e+17, 2.8221814547236506e+18, 4.4410406197553114e+17, 1.9967935630654874e+17, 7.11205164587482e+16, 5.505584749979717e+18]
-Total loo_error 1.3157714302651745e+18
-iteration 173current difference of loo_error 70288204984064.0
- getting loo error of with lamda = 0.016319125733148497, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1667224427.2271717
-error 2.7796372904651003e+18
- y tested = 5326600510.288329
-y predicted = 3984190267.494027
-error 1.802065259959057e+18
- y tested = 5072151352.996373
-y predicted = 4460189461.477131
-error 3.744973566718089e+17
- y tested = 7650055845.407672
-y predicted = 5784965373.825439
-error 3.4785624671868344e+18
- y tested = 5789616901.049658
-y predicted = 6050841235.274287
-error 6.823815279110089e+16
- y tested = 8224428196.629629
-y predicted = 7435181325.52244
-error 6.229106235524881e+17
- y tested = 4059018123.5159216
-y predicted = 5103757275.98823
-error 1.0914798967085568e+18
- y tested = 5947637003.818383
-y predicted = 4040682392.117215
-error 3.636475891088353e+18
- y tested = 997516184.7000968
-y predicted = 603073392.9484652
-error 1.5558511596482102e+17
- y tested = 6532788063.289651
-y predicted = 6739847345.028287
-error 4.287354615411985e+16
- y tested = 1980229389.772511
-y predicted = 3452088596.124335
-error 2.1663695233226207e+18
- y tested = 5035525633.343237
-y predicted = 5219128577.094262
-error 3.3710040954042124e+16
- y tested = 5026691733.102776
-y predicted = 5309558573.310872
-error 8.00136492893128e+16
- y tested = 1014996574.3865615
-y predicted = 1292089304.2773643
-error 7.678038095833736e+16
- y tested = 7665772326.561901
-y predicted = 6751017831.410198
-error 8.367757864002468e+17
- y tested = 3029054692.61153
-y predicted = 4711783371.408704
-error 2.831575806446483e+18
- y tested = 4062233415.93208
-y predicted = 4732662721.545215
-error 4.494754538249102e+17
- y tested = 5822958761.806049
-y predicted = 6272709682.814366
-error 2.022758909478294e+17
- y tested = 6611133148.221605
-y predicted = 6344486800.041357
-error 7.1100274997862184e+16
- y tested = 5377240292.736961
-y predicted = 3030760217.230436
-error 5.505968744749109e+18
-error squared vector [2.7796372904651003e+18, 1.802065259959057e+18, 3.744973566718089e+17, 3.4785624671868344e+18, 6.823815279110089e+16, 6.229106235524881e+17, 1.0914798967085568e+18, 3.636475891088353e+18, 1.5558511596482102e+17, 4.287354615411985e+16, 2.1663695233226207e+18, 3.3710040954042124e+16, 8.00136492893128e+16, 7.678038095833736e+16, 8.367757864002468e+17, 2.831575806446483e+18, 4.494754538249102e+17, 2.022758909478294e+17, 7.1100274997862184e+16, 5.505968744749109e+18]
-Total loo_error 1.3153185576216497e+18
-iteration 174current difference of loo_error -382584438540800.0
- getting loo error of with lamda = 0.01173447002808256, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1586604873.649922
-error 2.517315024825251e+18
- y tested = 5326600510.288329
-y predicted = 3997708734.6971464
-error 1.7659533512338862e+18
- y tested = 5072151352.996373
-y predicted = 4353821226.605912
-error 5.159981704801356e+17
- y tested = 7650055845.407672
-y predicted = 5897792328.329588
-error 3.070427433282857e+18
- y tested = 5789616901.049658
-y predicted = 6081552489.902472
-error 8.522638803883909e+16
- y tested = 8224428196.629629
-y predicted = 7544313104.559093
-error 4.625565384621132e+17
- y tested = 4059018123.5159216
-y predicted = 5087927663.199351
-error 1.0586548408515672e+18
- y tested = 5947637003.818383
-y predicted = 4069186022.0278077
-error 3.528578090989977e+18
- y tested = 997516184.7000968
-y predicted = 492956833.86096853
-error 2.5458013851920256e+17
- y tested = 6532788063.289651
-y predicted = 6625726827.606607
-error 8637613912762791.0
- y tested = 1980229389.772511
-y predicted = 3534785625.133474
-error 2.4166450888996495e+18
- y tested = 5035525633.343237
-y predicted = 5169576463.967146
-error 1.7969625190959938e+16
- y tested = 5026691733.102776
-y predicted = 5316503274.443589
-error 8.399072949433813e+16
- y tested = 1014996574.3865615
-y predicted = 1196780681.7990267
-error 3.3045461707746692e+16
- y tested = 7665772326.561901
-y predicted = 6826954335.649585
-error 7.036156218781748e+17
- y tested = 3029054692.61153
-y predicted = 4811804439.190117
-error 3.1781966589260165e+18
- y tested = 4062233415.93208
-y predicted = 4878924356.109754
-error 6.669840917682927e+17
- y tested = 5822958761.806049
-y predicted = 6389744937.404805
-error 3.212465688498637e+17
- y tested = 6611133148.221605
-y predicted = 6346014873.49777
-error 7.028769959254284e+16
- y tested = 5377240292.736961
-y predicted = 3022948831.173146
-error 5.542688285992287e+18
-error squared vector [2.517315024825251e+18, 1.7659533512338862e+18, 5.159981704801356e+17, 3.070427433282857e+18, 8.522638803883909e+16, 4.625565384621132e+17, 1.0586548408515672e+18, 3.528578090989977e+18, 2.5458013851920256e+17, 8637613912762791.0, 2.4166450888996495e+18, 1.7969625190959938e+16, 8.399072949433813e+16, 3.3045461707746692e+16, 7.036156218781748e+17, 3.1781966589260165e+18, 6.669840917682927e+17, 3.212465688498637e+17, 7.028769959254284e+16, 5.542688285992287e+18]
-Total loo_error 1.3151298711448233e+18
-iteration 175current difference of loo_error 188686476826368.0
- getting loo error of with lamda = 0.016180196772388925, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1664867658.938931
-error 2.771784321503319e+18
- y tested = 5326600510.288329
-y predicted = 3984599829.919443
-error 1.8009658261105528e+18
- y tested = 5072151352.996373
-y predicted = 4457347302.296118
-error 3.779840207574422e+17
- y tested = 7650055845.407672
-y predicted = 5788214461.629057
-error 3.466453338350668e+18
- y tested = 5789616901.049658
-y predicted = 6051410693.247219
-error 6.853598963317989e+16
- y tested = 8224428196.629629
-y predicted = 7438311270.086417
-error 6.179798221977457e+17
- y tested = 4059018123.5159216
-y predicted = 5103314988.740107
-error 1.0905559427170596e+18
- y tested = 5947637003.818383
-y predicted = 4041665388.000906
-error 3.632727800301885e+18
- y tested = 997516184.7000968
-y predicted = 599929523.6512828
-error 1.5807515304394454e+17
- y tested = 6532788063.289651
-y predicted = 6737154716.654676
-error 4.17657290076205e+16
- y tested = 1980229389.772511
-y predicted = 3454183344.5200167
-error 2.172540260715812e+18
- y tested = 5035525633.343237
-y predicted = 5217937590.743658
-error 3.3274122202653056e+16
- y tested = 5026691733.102776
-y predicted = 5309733450.736595
-error 8.011261392110285e+16
- y tested = 1014996574.3865615
-y predicted = 1289390414.310009
-error 7.529197938793453e+16
- y tested = 7665772326.561901
-y predicted = 6753143696.262704
-error 8.328910168417888e+17
- y tested = 3029054692.61153
-y predicted = 4714430523.587489
-error 2.8404916916379054e+18
- y tested = 4062233415.93208
-y predicted = 4736473845.831264
-error 4.546001573106361e+17
- y tested = 5822958761.806049
-y predicted = 6275472346.532823
-error 2.047685443622746e+17
- y tested = 6611133148.221605
-y predicted = 6344523179.353382
-error 7.1080875499914936e+16
- y tested = 5377240292.736961
-y predicted = 3030675955.95444
-error 5.506364186659594e+18
-error squared vector [2.771784321503319e+18, 1.8009658261105528e+18, 3.779840207574422e+17, 3.466453338350668e+18, 6.853598963317989e+16, 6.179798221977457e+17, 1.0905559427170596e+18, 3.632727800301885e+18, 1.5807515304394454e+17, 4.17657290076205e+16, 2.172540260715812e+18, 3.3274122202653056e+16, 8.011261392110285e+16, 7.529197938793453e+16, 8.328910168417888e+17, 2.8404916916379054e+18, 4.546001573106361e+17, 2.047685443622746e+17, 7.1080875499914936e+16, 5.506364186659594e+18]
-Total loo_error 1.3149121696081516e+18
-iteration 176current difference of loo_error -217701536671744.0
- getting loo error of with lamda = 0.011869189020334268, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2002-2000'
+--- Neighbour 0 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2002-2000'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 51 in the X datas point
+--------------
+ --- Configuration: 2000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6539495281.754154
+ --- Energy: 42.61363347008094
+ --- Workload: 278672000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.93355197432356 mAh) it is NOT far from the median.
+--- Median :36.93355197432356, the gap is : 10
+--- So No we don't romove this configuration '2002-2000'
+ --- remove_aberrant_points: The value [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0]
+--- Computing the list of the 10 first neighbours of '0001-0200'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1589061645.1702993
-error 2.5251169118864947e+18
- y tested = 5326600510.288329
-y predicted = 3997313731.0767956
-error 1.7670033413865723e+18
- y tested = 5072151352.996373
-y predicted = 4357396561.280575
-error 5.1087441228069434e+17
- y tested = 7650055845.407672
-y predicted = 5894312958.174801
-error 3.082633086068818e+18
- y tested = 5789616901.049658
-y predicted = 6080199728.834664
-error 8.443837980353075e+16
- y tested = 8224428196.629629
-y predicted = 7540919563.35669
-error 4.6718405175864064e+17
- y tested = 4059018123.5159216
-y predicted = 5088429581.084134
-error 1.0596879489727118e+18
- y tested = 5947637003.818383
-y predicted = 4068505685.9339595
-error 3.5311345098540513e+18
- y tested = 997516184.7000968
-y predicted = 496401786.4221612
-error 2.511156401614575e+17
- y tested = 6532788063.289651
-y predicted = 6630008544.8945875
-error 9451822043495816.0
- y tested = 1980229389.772511
-y predicted = 3531899124.1688824
-error 2.4076789646417055e+18
- y tested = 5035525633.343237
-y predicted = 5171399961.858467
-error 1.8461833149464692e+16
- y tested = 5026691733.102776
-y predicted = 5316251513.251342
-error 8.384486627968602e+16
- y tested = 1014996574.3865615
-y predicted = 1199784110.2656114
-error 3.414643341625115e+16
- y tested = 7665772326.561901
-y predicted = 6824542874.638494
-error 7.076669907833567e+17
- y tested = 3029054692.61153
-y predicted = 4808414624.410948
-error 3.1661217668932296e+18
- y tested = 4062233415.93208
-y predicted = 4873903864.095521
-error 6.588089164218414e+17
- y tested = 5822958761.806049
-y predicted = 6385354344.771374
-error 3.162887917389071e+17
- y tested = 6611133148.221605
-y predicted = 6345962959.089495
-error 7.0315229204359304e+16
- y tested = 5377240292.736961
-y predicted = 3023369949.808721
-error 5.540705591317112e+18
-error squared vector [2.5251169118864947e+18, 1.7670033413865723e+18, 5.1087441228069434e+17, 3.082633086068818e+18, 8.443837980353075e+16, 4.6718405175864064e+17, 1.0596879489727118e+18, 3.5311345098540513e+18, 2.511156401614575e+17, 9451822043495816.0, 2.4076789646417055e+18, 1.8461833149464692e+16, 8.384486627968602e+16, 3.414643341625115e+16, 7.076669907833567e+17, 3.1661217668932296e+18, 6.588089164218414e+17, 3.162887917389071e+17, 7.0315229204359304e+16, 5.540705591317112e+18]
-Total loo_error 1.314633974403119e+18
-iteration 177current difference of loo_error 278195205032448.0
- getting loo error of with lamda = 0.016049560173841813, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1662646840.1765358
-error 2.7643945148719114e+18
- y tested = 5326600510.288329
-y predicted = 3984985070.8875756
-error 1.7999319872384768e+18
- y tested = 5072151352.996373
-y predicted = 4454656823.7276
-error 3.812994936768637e+17
- y tested = 7650055845.407672
-y predicted = 5791279167.617349
-error 3.4550507378972314e+18
- y tested = 5789616901.049658
-y predicted = 6051962097.246218
-error 6.882500196741151e+16
- y tested = 8224428196.629629
-y predicted = 7441263765.33937
-error 6.133465264381953e+17
- y tested = 4059018123.5159216
-y predicted = 5102897039.632606
-error 1.0896831915129428e+18
- y tested = 5947637003.818383
-y predicted = 4042584890.439073
-error 3.629223554690976e+18
- y tested = 997516184.7000968
-y predicted = 596963414.4459296
-error 1.6044252175828765e+17
- y tested = 6532788063.289651
-y predicted = 6734587878.902272
-error 4.072316558128796e+16
- y tested = 1980229389.772511
-y predicted = 3456173435.8185368
-error 2.178410827058713e+18
- y tested = 5035525633.343237
-y predicted = 5216803159.564286
-error 3.286154151282322e+16
- y tested = 5026691733.102776
-y predicted = 5309899317.816597
-error 8.020653603943634e+16
- y tested = 1014996574.3865615
-y predicted = 1286842864.0449371
-error 7.390040520102546e+16
- y tested = 7665772326.561901
-y predicted = 6755152028.760976
-error 8.292293267670458e+17
- y tested = 3029054692.61153
-y predicted = 4716937804.793021
-error 2.848949400387477e+18
- y tested = 4062233415.93208
-y predicted = 4740087099.699055
-error 4.5948561659645805e+17
- y tested = 5822958761.806049
-y predicted = 6278105774.24139
-error 2.0715880292881635e+17
- y tested = 6611133148.221605
-y predicted = 6344558001.603441
-error 7.106230879449566e+16
- y tested = 5377240292.736961
-y predicted = 3030590095.7434487
-error 5.506767147049691e+18
-error squared vector [2.7643945148719114e+18, 1.7999319872384768e+18, 3.812994936768637e+17, 3.4550507378972314e+18, 6.882500196741151e+16, 6.133465264381953e+17, 1.0896831915129428e+18, 3.629223554690976e+18, 1.6044252175828765e+17, 4.072316558128796e+16, 2.178410827058713e+18, 3.286154151282322e+16, 8.020653603943634e+16, 7.390040520102546e+16, 8.292293267670458e+17, 2.848949400387477e+18, 4.5948561659645805e+17, 2.0715880292881635e+17, 7.106230879449566e+16, 5.506767147049691e+18]
-Total loo_error 1.3145476303984783e+18
-iteration 178current difference of loo_error -86344004640768.0
- getting loo error of with lamda = 0.01199586693407692, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1591366645.6904993
-error 2.5324478007510036e+18
- y tested = 5326600510.288329
-y predicted = 3996942036.873703
-error 1.767991655923314e+18
- y tested = 5072151352.996373
-y predicted = 4360728141.775713
-error 5.061229854635161e+17
- y tested = 7650055845.407672
-y predicted = 5891050008.626326
-error 3.0941015338308444e+18
- y tested = 5789616901.049658
-y predicted = 6078959535.589484
-error 8.371916016244754e+16
- y tested = 8224428196.629629
-y predicted = 7537739893.800456
-error 4.715408252424101e+17
- y tested = 4059018123.5159216
-y predicted = 5088899543.745833
-error 1.0606557397347802e+18
- y tested = 5947637003.818383
-y predicted = 4067854451.9500756
-error 3.5335824423085266e+18
- y tested = 997516184.7000968
-y predicted = 499628160.32051873
-error 2.4789248482059936e+17
- y tested = 6532788063.289651
-y predicted = 6633970615.891011
-error 1.0237908950927048e+16
- y tested = 1980229389.772511
-y predicted = 3529213560.0053
-error 2.399351959631762e+18
- y tested = 5035525633.343237
-y predicted = 5173089862.023239
-error 1.8923917012323944e+16
- y tested = 5026691733.102776
-y predicted = 5316018347.172802
-error 8.3709889609226e+16
- y tested = 1014996574.3865615
-y predicted = 1202595940.6891851
-error 3.519352223714596e+16
- y tested = 7665772326.561901
-y predicted = 6822285765.696454
-error 7.114695783606195e+17
- y tested = 3029054692.61153
-y predicted = 4805257347.31514
-error 3.1548958705761516e+18
- y tested = 4062233415.93208
-y predicted = 4869231020.230106
-error 6.512451333427543e+17
- y tested = 5822958761.806049
-y predicted = 6381291486.05989
-error 3.11735430972715e+17
- y tested = 6611133148.221605
-y predicted = 6345914242.082792
-error 7.034106817346851e+16
- y tested = 5377240292.736961
-y predicted = 3023752357.605172
-error 5.538905460810893e+18
-error squared vector [2.5324478007510036e+18, 1.767991655923314e+18, 5.061229854635161e+17, 3.0941015338308444e+18, 8.371916016244754e+16, 4.715408252424101e+17, 1.0606557397347802e+18, 3.5335824423085266e+18, 2.4789248482059936e+17, 1.0237908950927048e+16, 2.399351959631762e+18, 1.8923917012323944e+16, 8.3709889609226e+16, 3.519352223714596e+16, 7.114695783606195e+17, 3.1548958705761516e+18, 6.512451333427543e+17, 3.11735430972715e+17, 7.034106817346851e+16, 5.538905460810893e+18]
-Total loo_error 1.3142032183957714e+18
-iteration 179current difference of loo_error 344412002706944.0
- getting loo error of with lamda = 0.01592672098475803, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1660554389.6793637
-error 2.757440880806645e+18
- y tested = 5326600510.288329
-y predicted = 3985347419.410628
-error 1.7989598537889871e+18
- y tested = 5072151352.996373
-y predicted = 4452110809.109503
-error 3.84450276063526e+17
- y tested = 7650055845.407672
-y predicted = 5794169412.992696
-error 3.444314450021988e+18
- y tested = 5789616901.049658
-y predicted = 6052494976.168563
-error 6.9104882378220696e+16
- y tested = 8224428196.629629
-y predicted = 7444048366.970398
-error 6.089926785389706e+17
- y tested = 4059018123.5159216
-y predicted = 5102502206.64348
-error 1.0888590317405618e+18
- y tested = 5947637003.818383
-y predicted = 4043445119.243682
-error 3.6259467332801526e+18
- y tested = 997516184.7000968
-y predicted = 594165523.155158
-error 1.6269175616873978e+17
- y tested = 6532788063.289651
-y predicted = 6732142807.596956
-error 3.974231407783109e+16
- y tested = 1980229389.772511
-y predicted = 3458062979.682874
-error 2.1839921194673516e+18
- y tested = 5035525633.343237
-y predicted = 5215723381.738149
-error 3.2471228526595924e+16
- y tested = 5026691733.102776
-y predicted = 5310056584.037271
-error 8.029563874512856e+16
- y tested = 1014996574.3865615
-y predicted = 1284438673.3544755
-error 7.259904469623515e+16
- y tested = 7665772326.561901
-y predicted = 6757048813.240932
-error 8.257784236624046e+17
- y tested = 3029054692.61153
-y predicted = 4719311709.482606
-error 2.856968783081909e+18
- y tested = 4062233415.93208
-y predicted = 4743511249.172619
-error 4.641394860649238e+17
- y tested = 5822958761.806049
-y predicted = 6280614133.734037
-error 2.094484394545451e+17
- y tested = 6611133148.221605
-y predicted = 6344591290.4183035
-error 7.104456196123556e+16
- y tested = 5377240292.736961
-y predicted = 3030503366.7407885
-error 5.507174199833968e+18
-error squared vector [2.757440880806645e+18, 1.7989598537889871e+18, 3.84450276063526e+17, 3.444314450021988e+18, 6.9104882378220696e+16, 6.089926785389706e+17, 1.0888590317405618e+18, 3.6259467332801526e+18, 1.6269175616873978e+17, 3.974231407783109e+16, 2.1839921194673516e+18, 3.2471228526595924e+16, 8.029563874512856e+16, 7.259904469623515e+16, 8.257784236624046e+17, 2.856968783081909e+18, 4.641394860649238e+17, 2.094484394545451e+17, 7.104456196123556e+16, 5.507174199833968e+18]
-Total loo_error 1.3142207391179958e+18
-iteration 180current difference of loo_error 17520722224384.0
- getting loo error of with lamda = 0.015807604195343453, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1658521458.7195547
-error 2.7506934287568195e+18
- y tested = 5326600510.288329
-y predicted = 3985698874.4405327
-error 1.7980171970192965e+18
- y tested = 5072151352.996373
-y predicted = 4449626801.938571
-error 3.875368166697182e+17
- y tested = 7650055845.407672
-y predicted = 5796979928.906462
-error 3.4338903523168e+18
- y tested = 5789616901.049658
-y predicted = 6053025291.778116
-error 6.938398030615621e+16
- y tested = 8224428196.629629
-y predicted = 7446756345.258168
-error 6.047735084155156e+17
- y tested = 4059018123.5159216
-y predicted = 5102117637.174298
-error 1.088056595394342e+18
- y tested = 5947637003.818383
-y predicted = 4044275101.0266056
-error 3.622786532999136e+18
- y tested = 997516184.7000968
-y predicted = 591444180.7989434
-error 1.6489447235229837e+17
- y tested = 6532788063.289651
-y predicted = 6729742220.338433
-error 3.8790939978796424e+16
- y tested = 1980229389.772511
-y predicted = 3459912343.131784
-error 2.1894616424620204e+18
- y tested = 5035525633.343237
-y predicted = 5214664049.4159775
-error 3.209057211305031e+16
- y tested = 5026691733.102776
-y predicted = 5310210320.855905
-error 8.038278960152872e+16
- y tested = 1014996574.3865615
-y predicted = 1282099217.9320743
-error 7.134382218900127e+16
- y tested = 7665772326.561901
-y predicted = 6758895871.421446
-error 8.224249048881181e+17
- y tested = 3029054692.61153
-y predicted = 4721628965.465508
-error 2.8648076691271747e+18
- y tested = 4062233415.93208
-y predicted = 4746856568.8241205
-error 4.687088614758386e+17
- y tested = 5822958761.806049
-y predicted = 6283076734.653446
-error 2.1170854893719782e+17
- y tested = 6611133148.221605
-y predicted = 6344624076.196799
-error 7.102708547152325e+16
- y tested = 5377240292.736961
-y predicted = 3030413598.3365397
-error 5.50759553355041e+18
-error squared vector [2.7506934287568195e+18, 1.7980171970192965e+18, 3.875368166697182e+17, 3.4338903523168e+18, 6.938398030615621e+16, 6.047735084155156e+17, 1.088056595394342e+18, 3.622786532999136e+18, 1.6489447235229837e+17, 3.8790939978796424e+16, 2.1894616424620204e+18, 3.209057211305031e+16, 8.038278960152872e+16, 7.134382218900127e+16, 8.224249048881181e+17, 2.8648076691271747e+18, 4.687088614758386e+17, 2.1170854893719782e+17, 7.102708547152325e+16, 5.50759553355041e+18]
-Total loo_error 1.313918762701237e+18
-iteration 181current difference of loo_error -284455694534400.0
- getting loo error of with lamda = 0.01211137412381227, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1593464077.9135447
-error 2.5391277673352863e+18
- y tested = 5326600510.288329
-y predicted = 3996602905.150242
-error 1.7688936296730476e+18
- y tested = 5072151352.996373
-y predicted = 4363740802.908424
-error 5.018455074759102e+17
- y tested = 7650055845.407672
-y predicted = 5888082230.331452
-error 3.104551020224762e+18
- y tested = 5789616901.049658
-y predicted = 6077854946.429992
-error 8.308117080467542e+16
- y tested = 8224428196.629629
-y predicted = 7534850084.65875
-error 4.755179725093229e+17
- y tested = 4059018123.5159216
-y predicted = 5089326368.367592
-error 1.0615350794093293e+18
- y tested = 5947637003.818383
-y predicted = 4067251179.217835
-error 3.5358508493586836e+18
- y tested = 997516184.7000968
-y predicted = 502559199.1361692
-error 2.4498241755853008e+17
- y tested = 6532788063.289651
-y predicted = 6637530345.39112
-error 1.0970945659823722e+16
- y tested = 1980229389.772511
-y predicted = 3526788747.694585
-error 2.3918458475763374e+18
- y tested = 5035525633.343237
-y predicted = 5174610230.3079605
-error 1.9344525112839596e+16
- y tested = 5026691733.102776
-y predicted = 5315808668.950499
-error 8.358860259397638e+16
- y tested = 1014996574.3865615
-y predicted = 1205149488.1823215
-error 3.615813062501774e+16
- y tested = 7665772326.561901
-y predicted = 6820236469.270706
-error 7.14930885965156e+17
- y tested = 3029054692.61153
-y predicted = 4802403524.63651
-error 3.144766080044361e+18
- y tested = 4062233415.93208
-y predicted = 4865010051.935739
-error 6.444503273133509e+17
- y tested = 5822958761.806049
-y predicted = 6377641177.336031
-error 3.0767258209817517e+17
- y tested = 6611133148.221605
-y predicted = 6345869940.624775
-error 7.036456930455913e+16
- y tested = 5377240292.736961
-y predicted = 3024089848.1136055
-error 5.537317015031097e+18
-error squared vector [2.5391277673352863e+18, 1.7688936296730476e+18, 5.018455074759102e+17, 3.104551020224762e+18, 8.308117080467542e+16, 4.755179725093229e+17, 1.0615350794093293e+18, 3.5358508493586836e+18, 2.4498241755853008e+17, 1.0970945659823722e+16, 2.3918458475763374e+18, 1.9344525112839596e+16, 8.358860259397638e+16, 3.615813062501774e+16, 7.14930885965156e+17, 3.144766080044361e+18, 6.444503273133509e+17, 3.0767258209817517e+17, 7.036456930455913e+16, 5.537317015031097e+18]
-Total loo_error 1.313839746283712e+18
-iteration 182current difference of loo_error 79016417524992.0
- getting loo error of with lamda = 0.015695597223478873, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1656606366.2192748
-error 2.744344652322129e+18
- y tested = 5326600510.288329
-y predicted = 3986029423.4033823
-error 1.7971308389918876e+18
- y tested = 5072151352.996373
-y predicted = 4447277265.501208
-error 3.9046762522291494e+17
- y tested = 7650055845.407672
-y predicted = 5799629760.741988
-error 3.4240766948111724e+18
- y tested = 5789616901.049658
-y predicted = 6053536389.668068
-error 6.96534964726031e+16
- y tested = 8224428196.629629
-y predicted = 7449309697.377022
-error 6.008086878836142e+17
- y tested = 4059018123.5159216
-y predicted = 5101754488.074038
-error 1.0872991259718761e+18
- y tested = 5947637003.818383
-y predicted = 4045051688.1770434
-error 3.6198308832940564e+18
- y tested = 997516184.7000968
-y predicted = 588877811.9730694
-error 1.66985319664993e+17
- y tested = 6532788063.289651
-y predicted = 6727457882.509079
-error 3.78963385149248e+16
- y tested = 1980229389.772511
-y predicted = 3461666833.4675922
-error 2.194656899581817e+18
- y tested = 5035525633.343237
-y predicted = 5213656756.979806
-error 3.173069720802664e+16
- y tested = 5026691733.102776
-y predicted = 5310356021.26011
-error 8.04654283758072e+16
- y tested = 1014996574.3865615
-y predicted = 1279892048.30469
-error 7.016961210230983e+16
- y tested = 7665772326.561901
-y predicted = 6760639685.244935
-error 8.192650983774276e+17
- y tested = 3029054692.61153
-y predicted = 4723821833.811977
-error 2.8722356628927375e+18
- y tested = 4062233415.93208
-y predicted = 4750024908.762724
-error 4.73057137610206e+17
- y tested = 5822958761.806049
-y predicted = 6285419980.170402
-error 2.138703784910411e+17
- y tested = 6611133148.221605
-y predicted = 6344655360.013882
-error 7.101041160808041e+16
- y tested = 5377240292.736961
-y predicted = 3030323992.776995
-error 5.508016119017778e+18
-error squared vector [2.744344652322129e+18, 1.7971308389918876e+18, 3.9046762522291494e+17, 3.4240766948111724e+18, 6.96534964726031e+16, 6.008086878836142e+17, 1.0872991259718761e+18, 3.6198308832940564e+18, 1.66985319664993e+17, 3.78963385149248e+16, 2.194656899581817e+18, 3.173069720802664e+16, 8.04654283758072e+16, 7.016961210230983e+16, 8.192650983774276e+17, 2.8722356628927375e+18, 4.73057137610206e+17, 2.138703784910411e+17, 7.101041160808041e+16, 5.508016119017778e+18]
-Total loo_error 1.31364855542077e+18
-iteration 183current difference of loo_error -191190862941952.0
- getting loo error of with lamda = 0.01221998694501429, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1595432590.8219006
-error 2.545405151590777e+18
- y tested = 5326600510.288329
-y predicted = 3996283838.349362
-error 1.7697424476387697e+18
- y tested = 5072151352.996373
-y predicted = 4366552172.803425
-error 4.978702030889608e+17
- y tested = 7650055845.407672
-y predicted = 5885298101.092529
-error 3.1143698961202703e+18
- y tested = 5789616901.049658
-y predicted = 6076838615.928586
-error 8.249631349799232e+16
- y tested = 8224428196.629629
-y predicted = 7532140930.774812
-error 4.792616584647386e+17
- y tested = 4059018123.5159216
-y predicted = 5089726234.866219
-error 1.0623592108032961e+18
- y tested = 5947637003.818383
-y predicted = 4066675878.112556
-error 3.538014756416533e+18
- y tested = 997516184.7000968
-y predicted = 505305964.6844302
-error 2.4227090068787098e+17
- y tested = 6532788063.289651
-y predicted = 6640832446.32993
-error 1.1673588706554612e+16
- y tested = 1980229389.772511
-y predicted = 3524529276.357185
-error 2.3848621397054367e+18
- y tested = 5035525633.343237
-y predicted = 5176022318.550389
-error 1.9739318554197668e+16
- y tested = 5026691733.102776
-y predicted = 5315613984.05331
-error 8.347606709432382e+16
- y tested = 1014996574.3865615
-y predicted = 1207541701.4053404
-error 3.707362593867771e+16
- y tested = 7665772326.561901
-y predicted = 6818317106.006075
-error 7.18180350847324e+17
- y tested = 3029054692.61153
-y predicted = 4799741450.095802
-error 3.135331593130167e+18
- y tested = 4062233415.93208
-y predicted = 4861075097.513469
-error 6.381480322317812e+17
- y tested = 5822958761.806049
-y predicted = 6374255035.214149
-error 3.039275810736587e+17
- y tested = 6611133148.221605
-y predicted = 6345828414.841288
-error 7.038660155400146e+16
- y tested = 5377240292.736961
-y predicted = 3024397667.1408634
-error 5.53586842082194e+18
-error squared vector [2.545405151590777e+18, 1.7697424476387697e+18, 4.978702030889608e+17, 3.1143698961202703e+18, 8.249631349799232e+16, 4.792616584647386e+17, 1.0623592108032961e+18, 3.538014756416533e+18, 2.4227090068787098e+17, 1.1673588706554612e+16, 2.3848621397054367e+18, 1.9739318554197668e+16, 8.347606709432382e+16, 3.707362593867771e+16, 7.18180350847324e+17, 3.135331593130167e+18, 6.381480322317812e+17, 3.039275810736587e+17, 7.038660155400146e+16, 5.53586842082194e+18]
-Total loo_error 1.3135228928983634e+18
-iteration 184current difference of loo_error 125662522406656.0
- getting loo error of with lamda = 0.015590275699889036, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1654802475.4722495
-error 2.7383712325532846e+18
- y tested = 5326600510.288329
-y predicted = 3986340300.363891
-error 1.7962974303066985e+18
- y tested = 5072151352.996373
-y predicted = 4445055606.957907
-error 3.932490746995408e+17
- y tested = 7650055845.407672
-y predicted = 5802127692.770493
-error 3.4148384573090586e+18
- y tested = 5789616901.049658
-y predicted = 6054028177.728508
-error 6.991332323493946e+16
- y tested = 8224428196.629629
-y predicted = 7451716873.761743
-error 5.970827884882392e+17
- y tested = 4059018123.5159216
-y predicted = 5101411653.699117
-error 1.0865842717677837e+18
- y tested = 5947637003.818383
-y predicted = 4045778427.592101
-error 3.617066043965461e+18
- y tested = 997516184.7000968
-y predicted = 586457979.1537155
-error 1.689688483470111e+17
- y tested = 6532788063.289651
-y predicted = 6725285607.685414
-error 3.7055304598398904e+16
- y tested = 1980229389.772511
-y predicted = 3463330462.565137
-error 2.1995887921186378e+18
- y tested = 5035525633.343237
-y predicted = 5212699553.827298
-error 3.1390598099692456e+16
- y tested = 5026691733.102776
-y predicted = 5310494058.275349
-error 8.054375977335891e+16
- y tested = 1014996574.3865615
-y predicted = 1277810070.293928
-error 6.90709336310513e+16
- y tested = 7665772326.561901
-y predicted = 6762285639.332059
-error 8.162881940015547e+17
- y tested = 3029054692.61153
-y predicted = 4725896291.446374
-error 2.87927141153639e+18
- y tested = 4062233415.93208
-y predicted = 4753024461.546812
-error 4.771922687014951e+17
- y tested = 5822958761.806049
-y predicted = 6287648188.114492
-error 2.1593626292286995e+17
- y tested = 6611133148.221605
-y predicted = 6344685179.139934
-error 7.099452022774749e+16
- y tested = 5377240292.736961
-y predicted = 3030235052.188743
-error 5.5084335991608e+18
-error squared vector [2.7383712325532846e+18, 1.7962974303066985e+18, 3.932490746995408e+17, 3.4148384573090586e+18, 6.991332323493946e+16, 5.970827884882392e+17, 1.0865842717677837e+18, 3.617066043965461e+18, 1.689688483470111e+17, 3.7055304598398904e+16, 2.1995887921186378e+18, 3.1390598099692456e+16, 8.054375977335891e+16, 6.90709336310513e+16, 8.162881940015547e+17, 2.87927141153639e+18, 4.771922687014951e+17, 2.1593626292286995e+17, 7.099452022774749e+16, 5.5084335991608e+18]
-Total loo_error 1.3134068557722004e+18
-iteration 185current difference of loo_error -116037126162944.0
- getting loo error of with lamda = 0.012322116907283222, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1597280327.7480102
-error 2.5513044451445775e+18
- y tested = 5326600510.288329
-y predicted = 3995983666.9961886
-error 1.7705411836527409e+18
- y tested = 5072151352.996373
-y predicted = 4369177071.762313
-error 4.941728400765437e+17
- y tested = 7650055845.407672
-y predicted = 5882685933.397991
-error 3.1235964058771067e+18
- y tested = 5789616901.049658
-y predicted = 6075902285.399157
-error 8.195932129214022e+16
- y tested = 8224428196.629629
-y predicted = 7529600645.524162
-error 4.8278532577522016e+17
- y tested = 4059018123.5159216
-y predicted = 5090100919.33596
-error 1.0631317318360678e+18
- y tested = 5947637003.818383
-y predicted = 4066127970.8853874
-error 3.540076241008457e+18
- y tested = 997516184.7000968
-y predicted = 507880612.72376794
-error 2.3974299334458678e+17
- y tested = 6532788063.289651
-y predicted = 6643898267.128411
-error 1.234547739709088e+16
- y tested = 1980229389.772511
-y predicted = 3522422712.936822
-error 2.378360246012581e+18
- y tested = 5035525633.343237
-y predicted = 5177334874.833602
-error 2.0109860972072668e+16
- y tested = 5026691733.102776
-y predicted = 5315433055.672958
-error 8.337155135957835e+16
- y tested = 1014996574.3865615
-y predicted = 1209783300.439084
-error 3.794186864626046e+16
- y tested = 7665772326.561901
-y predicted = 6816519019.9559
-error 7.212311787812261e+17
- y tested = 3029054692.61153
-y predicted = 4797256895.39197
-error 3.1265390299176e+18
- y tested = 4062233415.93208
-y predicted = 4857404680.1282215
-error 6.322973394032902e+17
- y tested = 5822958761.806049
-y predicted = 6371111175.211513
-error 3.0047106832223386e+17
- y tested = 6611133148.221605
-y predicted = 6345789504.939863
-error 7.04072490300284e+16
- y tested = 5377240292.736961
-y predicted = 3024678861.3462896
-error 5.534545288466927e+18
-error squared vector [2.5513044451445775e+18, 1.7705411836527409e+18, 4.941728400765437e+17, 3.1235964058771067e+18, 8.195932129214022e+16, 4.8278532577522016e+17, 1.0631317318360678e+18, 3.540076241008457e+18, 2.3974299334458678e+17, 1.234547739709088e+16, 2.378360246012581e+18, 2.0109860972072668e+16, 8.337155135957835e+16, 3.794186864626046e+16, 7.212311787812261e+17, 3.1265390299176e+18, 6.322973394032902e+17, 3.0047106832223386e+17, 7.04072490300284e+16, 5.534545288466927e+18]
-Total loo_error 1.3132465323158164e+18
-iteration 186current difference of loo_error 160323456384000.0
- getting loo error of with lamda = 0.015491240584961588, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1653103501.3384647
-error 2.7327511858619745e+18
- y tested = 5326600510.288329
-y predicted = 3986632668.1790953
-error 1.7955138178868767e+18
- y tested = 5072151352.996373
-y predicted = 4442955485.813447
-error 3.958874392800745e+17
- y tested = 7650055845.407672
-y predicted = 5804482075.877462
-error 3.406142538777947e+18
- y tested = 5789616901.049658
-y predicted = 6054500682.642146
-error 7.016341775073704e+16
- y tested = 8224428196.629629
-y predicted = 7453985905.573041
-error 5.935813238485245e+17
- y tested = 4059018123.5159216
-y predicted = 5101088075.266124
-error 1.0859097843406687e+18
- y tested = 5947637003.818383
-y predicted = 4046458625.8798676
-error 3.6144792247409254e+18
- y tested = 997516184.7000968
-y predicted = 584176662.3654712
-error 1.7084956072381645e+17
- y tested = 6532788063.289651
-y predicted = 6723221197.778341
-error 3.626477871118764e+16
- y tested = 1980229389.772511
-y predicted = 3464907170.837318
-error 2.2042681135875187e+18
- y tested = 5035525633.343237
-y predicted = 5211790493.389623
-error 3.106930088717196e+16
- y tested = 5026691733.102776
-y predicted = 5310624791.271919
-error 8.061798152128232e+16
- y tested = 1014996574.3865615
-y predicted = 1275846528.2890487
-error 6.804269845092967e+16
- y tested = 7665772326.561901
-y predicted = 6763838881.376464
-error 8.134839395440721e+17
- y tested = 3029054692.61153
-y predicted = 4727858101.027016
-error 2.885933020444072e+18
- y tested = 4062233415.93208
-y predicted = 4755863165.884594
-error 4.811222300191873e+17
- y tested = 5822958761.806049
-y predicted = 6289765683.968547
-error 2.1790870257882403e+17
- y tested = 6611133148.221605
-y predicted = 6344713574.398462
-error 7.0979389316105144e+16
- y tested = 5377240292.736961
-y predicted = 3030147203.008395
-error 5.508845971851588e+18
-error squared vector [2.7327511858619745e+18, 1.7955138178868767e+18, 3.958874392800745e+17, 3.406142538777947e+18, 7.016341775073704e+16, 5.935813238485245e+17, 1.0859097843406687e+18, 3.6144792247409254e+18, 1.7084956072381645e+17, 3.626477871118764e+16, 2.2042681135875187e+18, 3.106930088717196e+16, 8.061798152128232e+16, 6.804269845092967e+16, 8.134839395440721e+17, 2.885933020444072e+18, 4.811222300191873e+17, 2.1790870257882403e+17, 7.0979389316105144e+16, 5.508845971851588e+18]
-Total loo_error 1.3131907210061742e+18
-iteration 187current difference of loo_error -55811309642240.0
- getting loo error of with lamda = 0.01241815095812196, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1599014890.814432
-error 2.5568486207797873e+18
- y tested = 5326600510.288329
-y predicted = 3995701286.8171678
-error 1.7712927430361403e+18
- y tested = 5072151352.996373
-y predicted = 4371629050.275063
-error 4.9073149660996755e+17
- y tested = 7650055845.407672
-y predicted = 5880234814.840025
-error 3.132266480239528e+18
- y tested = 5789616901.049658
-y predicted = 6075038612.289727
-error 8.146555324720955e+16
- y tested = 8224428196.629629
-y predicted = 7527218272.932309
-error 4.861016777020228e+17
- y tested = 4059018123.5159216
-y predicted = 5090452073.728173
-error 1.0638559936504497e+18
- y tested = 5947637003.818383
-y predicted = 4065606757.750313
-error 3.542037847115042e+18
- y tested = 997516184.7000968
-y predicted = 510294425.5271087
-error 2.3738504261162122e+17
- y tested = 6532788063.289651
-y predicted = 6646747050.308853
-error 1.2986650722442702e+16
- y tested = 1980229389.772511
-y predicted = 3520457694.0348167
-error 2.3723032292507377e+18
- y tested = 5035525633.343237
-y predicted = 5178555812.840194
-error 2.045763224693169e+16
- y tested = 5026691733.102776
-y predicted = 5315264770.87958
-error 8.327439813173274e+16
- y tested = 1014996574.3865615
-y predicted = 1211884229.4169142
-error 3.8764748703351176e+16
- y tested = 7665772326.561901
-y predicted = 6814834178.515206
-error 7.240957318011386e+17
- y tested = 3029054692.61153
-y predicted = 4794936860.701961
-error 3.11833983157976e+18
- y tested = 4062233415.93208
-y predicted = 4853979200.748828
-error 6.268613877750885e+17
- y tested = 5822958761.806049
-y predicted = 6368189870.013213
-error 2.9727696135681197e+17
- y tested = 6611133148.221605
-y predicted = 6345753055.3947115
-error 7.0426593668810776e+16
- y tested = 5377240292.736961
-y predicted = 3024936115.44333
-error 5.533334942513069e+18
-error squared vector [2.5568486207797873e+18, 1.7712927430361403e+18, 4.9073149660996755e+17, 3.132266480239528e+18, 8.146555324720955e+16, 4.861016777020228e+17, 1.0638559936504497e+18, 3.542037847115042e+18, 2.3738504261162122e+17, 1.2986650722442702e+16, 2.3723032292507377e+18, 2.045763224693169e+16, 8.327439813173274e+16, 3.8764748703351176e+16, 7.240957318011386e+17, 3.11833983157976e+18, 6.268613877750885e+17, 2.9727696135681197e+17, 7.0426593668810776e+16, 5.533334942513069e+18]
-Total loo_error 1.313005378137082e+18
-iteration 188current difference of loo_error 185342869092096.0
- getting loo error of with lamda = 0.015398116656875538, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1651503494.203758
-error 2.7274637910919716e+18
- y tested = 5326600510.288329
-y predicted = 3986907622.3345013
-error 1.7947770340340675e+18
- y tested = 5072151352.996373
-y predicted = 4440970811.573967
-error 3.9838887587028186e+17
- y tested = 7650055845.407672
-y predicted = 5806700843.399706
-error 3.3979576634277883e+18
- y tested = 5789616901.049658
-y predicted = 6054954034.042254
-error 7.040379414473091e+16
- y tested = 8224428196.629629
-y predicted = 7456124420.644015
-error 5.902906921937523e+17
- y tested = 4059018123.5159216
-y predicted = 5100782740.105608
-error 1.0852735163782563e+18
- y tested = 5947637003.818383
-y predicted = 4047095365.1018467
-error 3.612058520495338e+18
- y tested = 997516184.7000968
-y predicted = 582026242.9930823
-error 1.7263189165969837e+17
- y tested = 6532788063.289651
-y predicted = 6721260465.696494
-error 3.5521846469007028e+16
- y tested = 1980229389.772511
-y predicted = 3466400815.6679745
-error 2.2087055071481551e+18
- y tested = 5035525633.343237
-y predicted = 5210927642.736936
-error 3.0765864899347164e+16
- y tested = 5026691733.102776
-y predicted = 5310748566.308688
-error 8.068828449097165e+16
- y tested = 1014996574.3865615
-y predicted = 1273994993.6099298
-error 6.7080181160203624e+16
- y tested = 7665772326.561901
-y predicted = 6765304327.446581
-error 8.108426174307483e+17
- y tested = 3029054692.61153
-y predicted = 4729712810.942348
-error 2.8922380354445174e+18
- y tested = 4062233415.93208
-y predicted = 4758548700.41356
-error 4.848549754025246e+17
- y tested = 5822958761.806049
-y predicted = 6291776778.385439
-error 2.197903326694328e+17
- y tested = 6611133148.221605
-y predicted = 6344740589.37454
-error 7.096499540908698e+16
- y tested = 5377240292.736961
-y predicted = 3030060803.8240514
-error 5.509251553173469e+18
-error squared vector [2.7274637910919716e+18, 1.7947770340340675e+18, 3.9838887587028186e+17, 3.3979576634277883e+18, 7.040379414473091e+16, 5.902906921937523e+17, 1.0852735163782563e+18, 3.612058520495338e+18, 1.7263189165969837e+17, 3.5521846469007028e+16, 2.2087055071481551e+18, 3.0765864899347164e+16, 8.068828449097165e+16, 6.7080181160203624e+16, 8.108426174307483e+17, 2.8922380354445174e+18, 4.848549754025246e+17, 2.197903326694328e+17, 7.096499540908698e+16, 5.509251553173469e+18]
-Total loo_error 1.3129974986496676e+18
-iteration 189current difference of loo_error -7879487414528.0
- getting loo error of with lamda = 0.01250845294899328, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0001-0200'
+--- Neighbour 0 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0001-0200'
+--- Neighbour 0 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 25 in the X datas point
+--------------
+ --- Configuration: 0000-3300
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5789616901.049658
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 55 in the X datas point
+--------------
+ --- Configuration: 0000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5724131219.984087
+ --- Energy: 42.51731520413714
+ --- Workload: 243375000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 63 in the X datas point
+--------------
+ --- Configuration: 0001-0200
+ --- Energy efficiency: 4385426351.149858
+ --- Energy: 36.59285860316189
+ --- Workload: 160475000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.59285860316189 mAh) it is NOT far from the median.
+--- Median :36.59285860316189, the gap is : 10
+--- So No we don't romove this configuration '0001-0200'
+ --- remove_aberrant_points: The value [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+--- Computing the list of the 10 first neighbours of '0220-0020'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1600643380.271874
-error 2.562059230541397e+18
- y tested = 5326600510.288329
-y predicted = 3995435655.617914
-error 1.771999870309707e+18
- y tested = 5072151352.996373
-y predicted = 4373920521.170661
-error 4.87526294512026e+17
- y tested = 7650055845.407672
-y predicted = 5877934554.45374
-error 3.1404138698522296e+18
- y tested = 5789616901.049658
-y predicted = 6074241051.4564705
-error 8.101090699479992e+16
- y tested = 8224428196.629629
-y predicted = 7524983621.244243
-error 4.892227140360436e+17
- y tested = 4059018123.5159216
-y predicted = 5090781235.046993
-error 1.0645351183162787e+18
- y tested = 5947637003.818383
-y predicted = 4065111448.0572667
-error 3.5439024680937006e+18
- y tested = 997516184.7000968
-y predicted = 512557883.7364306
-error 2.351845536735659e+17
- y tested = 6532788063.289651
-y predicted = 6649396181.785195
-error 1.3597453299070932e+16
- y tested = 1980229389.772511
-y predicted = 3518623818.868696
-error 2.3666574194741775e+18
- y tested = 5035525633.343237
-y predicted = 5179692306.966192
-error 2.078402978350772e+16
- y tested = 5026691733.102776
-y predicted = 5315108125.376526
-error 8.318401533220581e+16
- y tested = 1014996574.3865615
-y predicted = 1213853720.2607598
-error 3.954416446523219e+16
- y tested = 7665772326.561901
-y predicted = 6813255122.649425
-error 7.267855829667471e+17
- y tested = 3029054692.61153
-y predicted = 4792769446.48586
-error 3.1106897330339886e+18
- y tested = 4062233415.93208
-y predicted = 4850780740.611486
-error 6.218068832590496e+17
- y tested = 5822958761.806049
-y predicted = 6365473294.521566
-error 2.943220182075358e+17
- y tested = 6611133148.221605
-y predicted = 6345718916.338263
-error 7.044471448622483e+16
- y tested = 5377240292.736961
-y predicted = 3025171800.9124646
-error 5.532226190233563e+18
-error squared vector [2.562059230541397e+18, 1.771999870309707e+18, 4.87526294512026e+17, 3.1404138698522296e+18, 8.101090699479992e+16, 4.892227140360436e+17, 1.0645351183162787e+18, 3.5439024680937006e+18, 2.351845536735659e+17, 1.3597453299070932e+16, 2.3666574194741775e+18, 2.078402978350772e+16, 8.318401533220581e+16, 3.954416446523219e+16, 7.267855829667471e+17, 3.1106897330339886e+18, 6.218068832590496e+17, 2.943220182075358e+17, 7.044471448622483e+16, 5.532226190233563e+18]
-Total loo_error 1.3127948615435525e+18
-iteration 190current difference of loo_error 202637106115072.0
- getting loo error of with lamda = 0.015310551089970014, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1649996824.36022
-error 2.7224895201238113e+18
- y tested = 5326600510.288329
-y predicted = 3987166194.618826
-error 1.7940842859930304e+18
- y tested = 5072151352.996373
-y predicted = 4439095740.577077
-error 4.0075940841557024e+17
- y tested = 7650055845.407672
-y predicted = 5808791527.078984
-error 3.3902542899504067e+18
- y tested = 5789616901.049658
-y predicted = 6055388450.033145
-error 7.06345162490821e+16
- y tested = 8224428196.629629
-y predicted = 7458139659.40849
-error 5.871981222765129e+17
- y tested = 4059018123.5159216
-y predicted = 5100494680.751591
-error 1.084673419271462e+18
- y tested = 5947637003.818383
-y predicted = 4047691517.679547
-error 3.6097928502993393e+18
- y tested = 997516184.7000968
-y predicted = 579999487.7331141
-error 1.7432019224621926e+17
- y tested = 6532788063.289651
-y predicted = 6719399255.260676
-error 3.482373696884692e+16
- y tested = 1980229389.772511
-y predicted = 3467815161.819458
-error 2.2129114291965115e+18
- y tested = 5035525633.343237
-y predicted = 5210109090.918407
-error 3.0479383658901364e+16
- y tested = 5026691733.102776
-y predicted = 5310865716.441859
-error 8.075485280680181e+16
- y tested = 1014996574.3865615
-y predicted = 1272249352.7650223
-error 6.617899198343745e+16
- y tested = 7665772326.561901
-y predicted = 6766686667.838387
-error 8.08355021722296e+17
- y tested = 3029054692.61153
-y predicted = 4731465756.265628
-error 2.8982034296518774e+18
- y tested = 4062233415.93208
-y predicted = 4761088479.493144
-error 4.8839839986493914e+17
- y tested = 5822958761.806049
-y predicted = 6293685747.390405
-error 2.215838949573339e+17
- y tested = 6611133148.221605
-y predicted = 6344766269.717519
-error 7.0951313964010776e+16
- y tested = 5377240292.736961
-y predicted = 3029976152.6356554
-error 5.509648943405523e+18
-error squared vector [2.7224895201238113e+18, 1.7940842859930304e+18, 4.0075940841557024e+17, 3.3902542899504067e+18, 7.06345162490821e+16, 5.871981222765129e+17, 1.084673419271462e+18, 3.6097928502993393e+18, 1.7432019224621926e+17, 3.482373696884692e+16, 2.2129114291965115e+18, 3.0479383658901364e+16, 8.075485280680181e+16, 6.617899198343745e+16, 8.08355021722296e+17, 2.8982034296518774e+18, 4.8839839986493914e+17, 2.215838949573339e+17, 7.0951313964010776e+16, 5.509648943405523e+18]
-Total loo_error 1.3128248001502956e+18
-iteration 191current difference of loo_error 29938606743040.0
- getting loo error of with lamda = 0.015225639025091931, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1648533803.7935016
-error 2.717663701975116e+18
- y tested = 5326600510.288329
-y predicted = 3987416955.7850537
-error 1.7934125926520271e+18
- y tested = 5072151352.996373
-y predicted = 4437269201.684242
-error 4.030753460547195e+17
- y tested = 7650055845.407672
-y predicted = 5810822887.769744
-error 3.3827778724615603e+18
- y tested = 5789616901.049658
-y predicted = 6055817331.845363
-error 7.086266935581884e+16
- y tested = 8224428196.629629
-y predicted = 7460097889.933778
-error 5.842008177337742e+17
- y tested = 4059018123.5159216
-y predicted = 5100214469.903065
-error 1.0840898317299357e+18
- y tested = 5947637003.818383
-y predicted = 4048267168.7504215
-error 3.607605770366096e+18
- y tested = 997516184.7000968
-y predicted = 578029781.2242687
-error 1.759688427010853e+17
- y tested = 6532788063.289651
-y predicted = 6717578030.523217
-error 3.41473319901825e+16
- y tested = 1980229389.772511
-y predicted = 3469195846.315319
-error 2.2170211087096458e+18
- y tested = 5035525633.343237
-y predicted = 5209308600.591485
-error 3.020051970560567e+16
- y tested = 5026691733.102776
-y predicted = 5310980036.817579
-error 8.081983962904046e+16
- y tested = 1014996574.3865615
-y predicted = 1270552307.5789404
-error 6.530873276749434e+16
- y tested = 7665772326.561901
-y predicted = 6768031174.831398
-error 8.059391755104101e+17
- y tested = 3029054692.61153
-y predicted = 4733173945.71936
-error 2.9040224288127903e+18
- y tested = 4062233415.93208
-y predicted = 4763564891.588576
-error 4.91865838746519e+17
- y tested = 5822958761.806049
-y predicted = 6295553663.597871
-error 2.2334594119962138e+17
- y tested = 6611133148.221605
-y predicted = 6344791428.628388
-error 7.093791159587178e+16
- y tested = 5377240292.736961
-y predicted = 3029890862.170753
-error 5.510049349179503e+18
-error squared vector [2.717663701975116e+18, 1.7934125926520271e+18, 4.030753460547195e+17, 3.3827778724615603e+18, 7.086266935581884e+16, 5.842008177337742e+17, 1.0840898317299357e+18, 3.607605770366096e+18, 1.759688427010853e+17, 3.41473319901825e+16, 2.2170211087096458e+18, 3.020051970560567e+16, 8.081983962904046e+16, 6.530873276749434e+16, 8.059391755104101e+17, 2.9040224288127903e+18, 4.91865838746519e+17, 2.2334594119962138e+17, 7.093791159587178e+16, 5.510049349179503e+18]
-Total loo_error 1.3126657811438408e+18
-iteration 192current difference of loo_error -129080399711744.0
- getting loo error of with lamda = 0.01259079192099627, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1602126127.477553
-error 2.566808128079199e+18
- y tested = 5326600510.288329
-y predicted = 3995193363.12497
-error 1.7726449915176748e+18
- y tested = 5072151352.996373
-y predicted = 4375998129.430166
-error 4.846293106816213e+17
- y tested = 7650055845.407672
-y predicted = 5875840996.9404745
-error 3.14783832852148e+18
- y tested = 5789616901.049658
-y predicted = 6073525918.003349
-error 8.060432990761147e+16
- y tested = 8224428196.629629
-y predicted = 7522950661.859117
-error 4.920707317877157e+17
- y tested = 4059018123.5159216
-y predicted = 5091080495.442982
-error 1.0651527395477094e+18
- y tested = 5947637003.818383
-y predicted = 4064655499.6137166
-error 3.545619345176869e+18
- y tested = 997516184.7000968
-y predicted = 514616480.5295656
-error 2.3319212428798662e+17
- y tested = 6532788063.289651
-y predicted = 6651787065.384961
-error 1.4160762499679644e+16
- y tested = 1980229389.772511
-y predicted = 3516963269.1902223
-error 2.3615510161502085e+18
- y tested = 5035525633.343237
-y predicted = 5180718939.366094
-error 2.108109611384692e+16
- y tested = 5026691733.102776
-y predicted = 5314966612.752848
-error 8.310240623726355e+16
- y tested = 1014996574.3865615
-y predicted = 1215644467.0991335
-error 4.025957684999579e+16
- y tested = 7665772326.561901
-y predicted = 6811819710.655304
-error 7.292350702137202e+17
- y tested = 3029054692.61153
-y predicted = 4790804952.1993475
-error 3.103763977157743e+18
- y tested = 4062233415.93208
-y predicted = 4847883151.290999
-error 6.172455066695405e+17
- y tested = 5822958761.806049
-y predicted = 6363021539.087528
-error 2.9166780340498426e+17
- y tested = 6611133148.221605
-y predicted = 6345687911.349043
-error 7.046117377833077e+16
- y tested = 5377240292.736961
-y predicted = 3025381541.495616
-error 5.531239585790501e+18
-error squared vector [2.566808128079199e+18, 1.7726449915176748e+18, 4.846293106816213e+17, 3.14783832852148e+18, 8.060432990761147e+16, 4.920707317877157e+17, 1.0651527395477094e+18, 3.545619345176869e+18, 2.3319212428798662e+17, 1.4160762499679644e+16, 2.3615510161502085e+18, 2.108109611384692e+16, 8.310240623726355e+16, 4.025957684999579e+16, 7.292350702137202e+17, 3.103763977157743e+18, 6.172455066695405e+17, 2.9166780340498426e+17, 7.046117377833077e+16, 5.531239585790501e+18]
-Total loo_error 1.312616400218684e+18
-iteration 193current difference of loo_error 49380925156864.0
- getting loo error of with lamda = 0.015145795173452669, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1647156300.56006
-error 2.713123878200177e+18
- y tested = 5326600510.288329
-y predicted = 3987652768.962136
-error 1.7927810540025147e+18
- y tested = 5072151352.996373
-y predicted = 4435544162.656617
-error 4.0526871479227834e+17
- y tested = 7650055845.407672
-y predicted = 5812736625.902953
-error 3.375741914361429e+18
- y tested = 5789616901.049658
-y predicted = 6056227563.534308
-error 7.108124535050429e+16
- y tested = 8224428196.629629
-y predicted = 7461942899.498384
-error 5.813838283413225e+17
- y tested = 4059018123.5159216
-y predicted = 5099950191.476636
-error 1.0835395701089692e+18
- y tested = 5947637003.818383
-y predicted = 4048806231.2783403
-error 3.605558302745016e+18
- y tested = 997516184.7000968
-y predicted = 576173695.1955833
-error 1.7752949346186106e+17
- y tested = 6532788063.289651
-y predicted = 6715850587.32792
-error 3.351188770726183e+16
- y tested = 1980229389.772511
-y predicted = 3470502447.808464
-error 2.220913787507831e+18
- y tested = 5035525633.343237
-y predicted = 5208549767.154146
-error 2.9937350881015436e+16
- y tested = 5026691733.102776
-y predicted = 5311088192.818085
-error 8.088134629860146e+16
- y tested = 1014996574.3865615
-y predicted = 1268952668.305052
-error 6.449369763833718e+16
- y tested = 7665772326.561901
-y predicted = 6769299088.281999
-error 8.036642669520548e+17
- y tested = 3029054692.61153
-y predicted = 4734787767.145026
-error 2.9095253215574943e+18
- y tested = 4062233415.93208
-y predicted = 4765905824.74635
-error 4.951548589264778e+17
- y tested = 5822958761.806049
-y predicted = 6297325359.484488
-error 2.2502366899301725e+17
- y tested = 6611133148.221605
-y predicted = 6344815316.020516
-error 7.092518774828734e+16
- y tested = 5377240292.736961
-y predicted = 3029807741.6642694
-error 5.510439581835646e+18
-error squared vector [2.713123878200177e+18, 1.7927810540025147e+18, 4.0526871479227834e+17, 3.375741914361429e+18, 7.108124535050429e+16, 5.813838283413225e+17, 1.0835395701089692e+18, 3.605558302745016e+18, 1.7752949346186106e+17, 3.351188770726183e+16, 2.220913787507831e+18, 2.9937350881015436e+16, 8.088134629860146e+16, 6.449369763833718e+16, 8.036642669520548e+17, 2.9095253215574943e+18, 4.951548589264778e+17, 2.2502366899301725e+17, 7.092518774828734e+16, 5.510439581835646e+18]
-Total loo_error 1.3125239478705044e+18
-iteration 194current difference of loo_error -92452348179456.0
- getting loo error of with lamda = 0.012668216261979797, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1603518518.3864996
-error 2.571271638541182e+18
- y tested = 5326600510.288329
-y predicted = 3994965461.650019
-error 1.773251902761954e+18
- y tested = 5072151352.996373
-y predicted = 4377941593.790296
-error 4.819271897769602e+17
- y tested = 7650055845.407672
-y predicted = 5873875767.976561
-error 3.1548156674631885e+18
- y tested = 5789616901.049658
-y predicted = 6072863833.097974
-error 8.022882451478334e+16
- y tested = 8224428196.629629
-y predicted = 7521043056.221707
-error 4.947506557466719e+17
- y tested = 4059018123.5159216
-y predicted = 5091361131.196855
-error 1.065732085507715e+18
- y tested = 5947637003.818383
-y predicted = 4064223075.4109817
-error 3.5472480257190006e+18
- y tested = 997516184.7000968
-y predicted = 516547654.8005537
-error 2.3133072675372774e+17
- y tested = 6532788063.289651
-y predicted = 6654014098.368312
-error 1.4695751580892738e+16
- y tested = 1980229389.772511
-y predicted = 3515411860.514274
-error 2.3567852184727844e+18
- y tested = 5035525633.343237
-y predicted = 5181676006.472048
-error 2.135993156569065e+16
- y tested = 5026691733.102776
-y predicted = 5314834672.99561
-error 8.302635381008573e+16
- y tested = 1014996574.3865615
-y predicted = 1217323941.3464167
-error 4.09363634209079e+16
- y tested = 7665772326.561901
-y predicted = 6810473793.973489
-error 7.315355798478913e+17
- y tested = 3029054692.61153
-y predicted = 4788967852.727512
-error 3.097294331149424e+18
- y tested = 4062233415.93208
-y predicted = 4845174705.859123
-error 6.129970634726227e+17
- y tested = 5822958761.806049
-y predicted = 6360737804.607079
-error 2.8920629887599123e+17
- y tested = 6611133148.221605
-y predicted = 6345658871.968494
-error 7.047659135211303e+16
- y tested = 5377240292.736961
-y predicted = 3025574341.2962437
-error 5.530332747165576e+18
-error squared vector [2.571271638541182e+18, 1.773251902761954e+18, 4.819271897769602e+17, 3.1548156674631885e+18, 8.022882451478334e+16, 4.947506557466719e+17, 1.065732085507715e+18, 3.5472480257190006e+18, 2.3133072675372774e+17, 1.4695751580892738e+16, 2.3567852184727844e+18, 2.135993156569065e+16, 8.302635381008573e+16, 4.09363634209079e+16, 7.315355798478913e+17, 3.097294331149424e+18, 6.129970634726227e+17, 2.8920629887599123e+17, 7.047659135211303e+16, 5.530332747165576e+18]
-Total loo_error 1.312460147374958e+18
-iteration 195current difference of loo_error 63800495546368.0
- getting loo error of with lamda = 0.015070717024620157, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1645859416.1535697
-error 2.7088532174670597e+18
- y tested = 5326600510.288329
-y predicted = 3987874521.9651704
-error 1.7921872718118182e+18
- y tested = 5072151352.996373
-y predicted = 4433915370.110762
-error 4.073451698499626e+17
- y tested = 7650055845.407672
-y predicted = 5814539345.572173
-error 3.3691208211683604e+18
- y tested = 5789616901.049658
-y predicted = 6056619535.177485
-error 7.129040663119859e+16
- y tested = 8224428196.629629
-y predicted = 7463681034.802526
-error 5.787362442279919e+17
- y tested = 4059018123.5159216
-y predicted = 5099700984.832333
-error 1.0830208178377124e+18
- y tested = 5947637003.818383
-y predicted = 4049311112.403338
-error 3.603641190016726e+18
- y tested = 997516184.7000968
-y predicted = 574424885.0609759
-error 1.7900624783032042e+17
- y tested = 6532788063.289651
-y predicted = 6714212903.083092
-error 3.2914972494075668e+16
- y tested = 1980229389.772511
-y predicted = 3471738479.545732
-error 2.2245993648761423e+18
- y tested = 5035525633.343237
-y predicted = 5207830757.126539
-error 2.9689055681979132e+16
- y tested = 5026691733.102776
-y predicted = 5311190486.507753
-error 8.093954068898637e+16
- y tested = 1014996574.3865615
-y predicted = 1267445052.248141
-error 6.373023397462842e+16
- y tested = 7665772326.561901
-y predicted = 6770494568.270101
-error 8.015222644919916e+17
- y tested = 3029054692.61153
-y predicted = 4736312040.361741
-error 2.9147276514470856e+18
- y tested = 4062233415.93208
-y predicted = 4768118039.815983
-error 4.9827310223571923e+17
- y tested = 5822958761.806049
-y predicted = 6299004968.546082
-error 2.2661999095157347e+17
- y tested = 6611133148.221605
-y predicted = 6344837980.644646
-error 7.0913116274841e+16
- y tested = 5377240292.736961
-y predicted = 3029726963.533804
-error 5.510818830786491e+18
-error squared vector [2.7088532174670597e+18, 1.7921872718118182e+18, 4.073451698499626e+17, 3.3691208211683604e+18, 7.129040663119859e+16, 5.787362442279919e+17, 1.0830208178377124e+18, 3.603641190016726e+18, 1.7900624783032042e+17, 3.2914972494075668e+16, 2.2245993648761423e+18, 2.9689055681979132e+16, 8.093954068898637e+16, 6.373023397462842e+16, 8.015222644919916e+17, 2.9147276514470856e+18, 4.9827310223571923e+17, 2.2661999095157347e+17, 7.0913116274841e+16, 5.510818830786491e+18]
-Total loo_error 1.3123974755372332e+18
-iteration 196current difference of loo_error -62671837724928.0
- getting loo error of with lamda = 0.012741019315393141, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1604826166.2279375
-error 2.5754670235423887e+18
- y tested = 5326600510.288329
-y predicted = 3994751103.0971084
-error 1.7738228434356063e+18
- y tested = 5072151352.996373
-y predicted = 4379760198.560333
-error 4.7940551074127206e+17
- y tested = 7650055845.407672
-y predicted = 5872030824.582188
-error 3.161372974681464e+18
- y tested = 5789616901.049658
-y predicted = 6072250299.065779
-error 7.988163767413902e+16
- y tested = 8224428196.629629
-y predicted = 7519252838.954317
-error 4.9727228507250426e+17
- y tested = 4059018123.5159216
-y predicted = 5091624341.38125
-error 1.0662756011741389e+18
- y tested = 5947637003.818383
-y predicted = 4063813251.7152014
-error 3.5487919289881103e+18
- y tested = 997516184.7000968
-y predicted = 518359564.9698185
-error 2.295910662313466e+17
- y tested = 6532788063.289651
-y predicted = 6656089750.436916
-error 1.5203306053362122e+16
- y tested = 1980229389.772511
-y predicted = 3513961854.4803743
-error 2.3523352732988575e+18
- y tested = 5035525633.343237
-y predicted = 5182568703.98272
-error 2.162166462308812e+16
- y tested = 5026691733.102776
-y predicted = 5314711586.598024
-error 8.295543600742458e+16
- y tested = 1014996574.3865615
-y predicted = 1218899313.2103093
-error 4.157632689982549e+16
- y tested = 7665772326.561901
-y predicted = 6809211580.555306
-error 7.33696311599374e+17
- y tested = 3029054692.61153
-y predicted = 4787249270.327469
-error 3.0912481731097293e+18
- y tested = 4062233415.93208
-y predicted = 4842642088.212189
-error 6.090376957700024e+17
- y tested = 5822958761.806049
-y predicted = 6358609304.757194
-error 2.8692150416385558e+17
- y tested = 6611133148.221605
-y predicted = 6345631673.370885
-error 7.049103314790772e+16
- y tested = 5377240292.736961
-y predicted = 3025751779.8820744
-error 5.529498226088488e+18
-error squared vector [2.5754670235423887e+18, 1.7738228434356063e+18, 4.7940551074127206e+17, 3.161372974681464e+18, 7.988163767413902e+16, 4.9727228507250426e+17, 1.0662756011741389e+18, 3.5487919289881103e+18, 2.295910662313466e+17, 1.5203306053362122e+16, 2.3523352732988575e+18, 2.162166462308812e+16, 8.295543600742458e+16, 4.157632689982549e+16, 7.33696311599374e+17, 3.0912481731097293e+18, 6.090376957700024e+17, 2.8692150416385558e+17, 7.049103314790772e+16, 5.529498226088488e+18]
-Total loo_error 1.3123232911151442e+18
-iteration 197current difference of loo_error 74184422088960.0
- getting loo error of with lamda = 0.01500012012434055, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1644638521.1603222
-error 2.7048358650103055e+18
- y tested = 5326600510.288329
-y predicted = 3988083050.4705496
-error 1.7916289902370412e+18
- y tested = 5072151352.996373
-y predicted = 4432377801.335578
-error 4.093101974046682e+17
- y tested = 7650055845.407672
-y predicted = 5816237304.229121
-error 3.3628904419702277e+18
- y tested = 5789616901.049658
-y predicted = 6056993684.639222
-error 7.149034440270071e+16
- y tested = 8224428196.629629
-y predicted = 7465318309.311646
-error 5.762478210239204e+17
- y tested = 4059018123.5159216
-y predicted = 5099466030.519556
-error 1.0825318471882436e+18
- y tested = 5947637003.818383
-y predicted = 4049784055.1853094
-error 3.6018458146352527e+18
- y tested = 997516184.7000968
-y predicted = 572777337.4904137
-error 1.804030883290106e+17
- y tested = 6532788063.289651
-y predicted = 6712661036.755059
-error 3.235428658328749e+16
- y tested = 1980229389.772511
-y predicted = 3472907341.2535734
-error 2.2280874668377009e+18
- y tested = 5035525633.343237
-y predicted = 5207149779.662736
-error 2.945484759989681e+16
- y tested = 5026691733.102776
-y predicted = 5311287207.94444
-error 8.099458430035238e+16
- y tested = 1014996574.3865615
-y predicted = 1266024351.1343021
-error 6.301494469891351e+16
- y tested = 7665772326.561901
-y predicted = 6771621572.211036
-error 7.995055715062216e+17
- y tested = 3029054692.61153
-y predicted = 4737751381.259208
-error 2.9196443737955395e+18
- y tested = 4062233415.93208
-y predicted = 4770208031.4715185
-error 5.0122805624821606e+17
- y tested = 5822958761.806049
-y predicted = 6300596539.185831
-error 2.2813784638029792e+17
- y tested = 6611133148.221605
-y predicted = 6344859471.4880295
-error 7.090167092121684e+16
- y tested = 5377240292.736961
-y predicted = 3029648660.597829
-error 5.511186471289676e+18
-error squared vector [2.7048358650103055e+18, 1.7916289902370412e+18, 4.093101974046682e+17, 3.3628904419702277e+18, 7.149034440270071e+16, 5.762478210239204e+17, 1.0825318471882436e+18, 3.6018458146352527e+18, 1.804030883290106e+17, 3.235428658328749e+16, 2.2280874668377009e+18, 2.945484759989681e+16, 8.099458430035238e+16, 6.301494469891351e+16, 7.995055715062216e+17, 2.9196443737955395e+18, 5.0122805624821606e+17, 2.2813784638029792e+17, 7.090167092121684e+16, 5.511186471289676e+18]
-Total loo_error 1.3122847265181345e+18
-iteration 198current difference of loo_error -38564597009664.0
- getting loo error of with lamda = 0.012809476915664276, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1606054322.7245057
-error 2.579410487274395e+18
- y tested = 5326600510.288329
-y predicted = 3994549488.268618
-error 1.7743599252637565e+18
- y tested = 5072151352.996373
-y predicted = 4381462506.983675
-error 4.770510820063527e+17
- y tested = 7650055845.407672
-y predicted = 5870298646.698936
-error 3.167535686355565e+18
- y tested = 5789616901.049658
-y predicted = 6071681264.898998
-error 7.95603053537331e+16
- y tested = 8224428196.629629
-y predicted = 7517572579.508121
-error 4.9964486345622874e+17
- y tested = 4059018123.5159216
-y predicted = 5091871243.617986
-error 1.066785567704569e+18
- y tested = 5947637003.818383
-y predicted = 4063425094.683431
-error 3.5502545185259807e+18
- y tested = 997516184.7000968
-y predicted = 520059813.8560986
-error 2.279645860595216e+17
- y tested = 6532788063.289651
-y predicted = 6658025391.426796
-error 1.5684388358930942e+16
- y tested = 1980229389.772511
-y predicted = 3512606127.1794257
-error 2.3481784653458606e+18
- y tested = 5035525633.343237
-y predicted = 5183401781.451331
-error 2.1867355179287016e+16
- y tested = 5026691733.102776
-y predicted = 5314596697.4088125
-error 8.288926847206042e+16
- y tested = 1014996574.3865615
-y predicted = 1220377260.191889
-error 4.2181226101866664e+16
- y tested = 7665772326.561901
-y predicted = 6808027677.417652
-error 7.357258831355908e+17
- y tested = 3029054692.61153
-y predicted = 4785641022.773091
-error 3.0855955353104625e+18
- y tested = 4062233415.93208
-y predicted = 4840273039.129724
-error 6.053456552655315e+17
- y tested = 5822958761.806049
-y predicted = 6356624380.734745
-error 2.8479899282654784e+17
- y tested = 6611133148.221605
-y predicted = 6345606197.852013
-error 7.050456137257613e+16
- y tested = 5377240292.736961
-y predicted = 3025915266.456276
-error 5.528729379213866e+18
-error squared vector [2.579410487274395e+18, 1.7743599252637565e+18, 4.770510820063527e+17, 3.167535686355565e+18, 7.95603053537331e+16, 4.9964486345622874e+17, 1.066785567704569e+18, 3.5502545185259807e+18, 2.279645860595216e+17, 1.5684388358930942e+16, 2.3481784653458606e+18, 2.1867355179287016e+16, 8.288926847206042e+16, 4.2181226101866664e+16, 7.357258831355908e+17, 3.0855955353104625e+18, 6.053456552655315e+17, 2.8479899282654784e+17, 7.050456137257613e+16, 5.528729379213866e+18]
-Total loo_error 1.312203386629134e+18
-iteration 199current difference of loo_error 81339889000448.0
- getting loo error of with lamda = 0.014933736996804906, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1643489241.8083155
-error 2.701056887665757e+18
- y tested = 5326600510.288329
-y predicted = 3988279140.9754825
-error 1.791104087559413e+18
- y tested = 5072151352.996373
-y predicted = 4430926658.553406
-error 4.111691087634769e+17
- y tested = 7650055845.407672
-y predicted = 5817836428.013844
-error 3.35702799347498e+18
- y tested = 5789616901.049658
-y predicted = 6057350488.403128
-error 7.168127379715807e+16
- y tested = 8224428196.629629
-y predicted = 7466860418.18464
-error 5.739089389380762e+17
- y tested = 4059018123.5159216
-y predicted = 5099244548.943936
-error 1.0820710161587451e+18
- y tested = 5947637003.818383
-y predicted = 4050227149.9299703
-error 3.6001641536328484e+18
- y tested = 997516184.7000968
-y predicted = 571225355.6289327
-error 1.8172387095018048e+17
- y tested = 6532788063.289651
-y predicted = 6711191138.740138
-error 3.182765733019221e+16
- y tested = 1980229389.772511
-y predicted = 3474012316.224961
-error 2.231387431360845e+18
- y tested = 5035525633.343237
-y predicted = 5206505090.388944
-error 2.923397473164468e+16
- y tested = 5026691733.102776
-y predicted = 5311378635.437804
-error 8.104663236111414e+16
- y tested = 1014996574.3865615
-y predicted = 1264685719.6605935
-error 6.234466926767666e+16
- y tested = 7665772326.561901
-y predicted = 6772683862.010829
-error 7.976070055141916e+17
- y tested = 3029054692.61153
-y predicted = 4739110205.858479
-error 2.924289858386285e+18
- y tested = 4062233415.93208
-y predicted = 4772182030.677048
-error 5.040270355782989e+17
- y tested = 5822958761.806049
-y predicted = 6302104024.846596
-error 2.2958018309419443e+17
- y tested = 6611133148.221605
-y predicted = 6344879837.41084
-error 7.0890825517693976e+16
- y tested = 5377240292.736961
-y predicted = 3029572930.97379
-error 5.511542041488048e+18
-error squared vector [2.701056887665757e+18, 1.791104087559413e+18, 4.111691087634769e+17, 3.35702799347498e+18, 7.168127379715807e+16, 5.739089389380762e+17, 1.0820710161587451e+18, 3.6001641536328484e+18, 1.8172387095018048e+17, 3.182765733019221e+16, 2.231387431360845e+18, 2.923397473164468e+16, 8.104663236111414e+16, 6.234466926767666e+16, 7.976070055141916e+17, 2.924289858386285e+18, 5.040270355782989e+17, 2.2958018309419443e+17, 7.0890825517693976e+16, 5.511542041488048e+18]
-Total loo_error 1.312184232278541e+18
-iteration 200current difference of loo_error -19154350593024.0
- getting loo error of with lamda = 0.012873848433274597, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1607207902.919821
-error 2.583117242940061e+18
- y tested = 5326600510.288329
-y predicted = 3994359864.22543
-error 1.7748651390220908e+18
- y tested = 5072151352.996373
-y predicted = 4383056427.147974
-error 4.7485181683001075e+17
- y tested = 7650055845.407672
-y predicted = 5868672201.369415
-error 3.1733276872470185e+18
- y tested = 5789616901.049658
-y predicted = 6071153074.451934
-error 7.926261693399645e+16
- y tested = 8224428196.629629
-y predicted = 7515995342.723591
-error 5.018771084934542e+17
- y tested = 4059018123.5159216
-y predicted = 5092102880.021366
-error 1.0672641141239136e+18
- y tested = 5947637003.818383
-y predicted = 4063057670.2998033
-error 3.551639264325335e+18
- y tested = 997516184.7000968
-y predicted = 521655490.62233496
-error 2.2644340016816928e+17
- y tested = 6532788063.289651
-y predicted = 6659831406.3679
-error 1.6140011020497672e+16
- y tested = 1980229389.772511
-y predicted = 3511338112.943174
-error 2.3442939221692974e+18
- y tested = 5035525633.343237
-y predicted = 5184179587.477646
-error 2.209799807979496e+16
- y tested = 5026691733.102776
-y predicted = 5314489405.875055
-error 8.282750045314021e+16
- y tested = 1014996574.3865615
-y predicted = 1221764004.593252
-error 4.27527701942786e+16
- y tested = 7665772326.561901
-y predicted = 6806917060.480026
-error 7.37632368076568e+17
- y tested = 3029054692.61153
-y predicted = 4784135559.306126
-error 3.080308848637454e+18
- y tested = 4062233415.93208
-y predicted = 4838056257.782422
-error 6.019010819367412e+17
- y tested = 5822958761.806049
-y predicted = 6354772383.383791
-error 2.8282572809563338e+17
- y tested = 6611133148.221605
-y predicted = 6345582334.697511
-error 7.0517234563308456e+16
- y tested = 5377240292.736961
-y predicted = 3026066060.7438703
-error 5.528020269188302e+18
-error squared vector [2.583117242940061e+18, 1.7748651390220908e+18, 4.7485181683001075e+17, 3.1733276872470185e+18, 7.926261693399645e+16, 5.018771084934542e+17, 1.0672641141239136e+18, 3.551639264325335e+18, 2.2644340016816928e+17, 1.6140011020497672e+16, 2.3442939221692974e+18, 2.209799807979496e+16, 8.282750045314021e+16, 4.27527701942786e+16, 7.37632368076568e+17, 3.080308848637454e+18, 6.019010819367412e+17, 2.8282572809563338e+17, 7.0517234563308456e+16, 5.528020269188302e+18]
-Total loo_error 1.312098306124953e+18
-iteration 201current difference of loo_error 85926153587968.0
- getting loo error of with lamda = 0.014871316131243381, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0220-0020'
+--- Neighbour 0 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0220-0020'
+--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.67117347490831 mAh) it is NOT far from the median.
+--- Median :36.67117347490831, the gap is : 10
+--- So No we don't romove this configuration '0220-0020'
+ --- remove_aberrant_points: The value [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '0303-1000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1642407447.0300128
-error 2.6975022217859103e+18
- y tested = 5326600510.288329
-y predicted = 3988463533.6062603
-error 1.7906105683638277e+18
- y tested = 5072151352.996373
-y predicted = 4429557362.823529
-error 4.12927036206257e+17
- y tested = 7650055845.407672
-y predicted = 5819342326.760085
-error 3.351511987359028e+18
- y tested = 5789616901.049658
-y predicted = 6057690453.404096
-error 7.186342947192752e+16
- y tested = 8224428196.629629
-y predicted = 7468312752.838459
-error 5.7171056433951814e+17
- y tested = 4059018123.5159216
-y predicted = 5099035798.9945135
-error 1.0816367653078938e+18
- y tested = 5947637003.818383
-y predicted = 4050642344.784378
-error 3.5985887364035415e+18
- y tested = 997516184.7000968
-y predicted = 569763544.6979431
-error 1.8297232102881216e+17
- y tested = 6532788063.289651
-y predicted = 6709799458.969766
-error 3.1333034200622144e+16
- y tested = 1980229389.772511
-y predicted = 3475056569.4737973
-error 2.2345082971737016e+18
- y tested = 5035525633.343237
-y predicted = 5205894994.475787
-error 2.902571921271332e+16
- y tested = 5026691733.102776
-y predicted = 5311465035.809656
-error 8.109583393458464e+16
- y tested = 1014996574.3865615
-y predicted = 1263424564.2374923
-error 6.1716466141374184e+16
- y tested = 7665772326.561901
-y predicted = 6773685011.308741
-error 7.958197780355917e+17
- y tested = 3029054692.61153
-y predicted = 4740392734.835571
-error 2.9286778947632154e+18
- y tested = 4062233415.93208
-y predicted = 4774046008.189073
-error 5.066771664956199e+17
- y tested = 5822958761.806049
-y predicted = 6303531275.911071
-error 2.3094994131322106e+17
- y tested = 6611133148.221605
-y predicted = 6344899126.838785
-error 7.088055414166793e+16
- y tested = 5377240292.736961
-y predicted = 3029499842.517111
-error 5.511885221598507e+18
-error squared vector [2.6975022217859103e+18, 1.7906105683638277e+18, 4.12927036206257e+17, 3.351511987359028e+18, 7.186342947192752e+16, 5.7171056433951814e+17, 1.0816367653078938e+18, 3.5985887364035415e+18, 1.8297232102881216e+17, 3.1333034200622144e+16, 2.2345082971737016e+18, 2.902571921271332e+16, 8.109583393458464e+16, 6.1716466141374184e+16, 7.958197780355917e+17, 2.9286778947632154e+18, 5.066771664956199e+17, 2.3094994131322106e+17, 7.088055414166793e+16, 5.511885221598507e+18]
-Total loo_error 1.3120946768638766e+18
-iteration 202current difference of loo_error -3629261076480.0
- getting loo error of with lamda = 0.012934377757455469, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1608291508.1134183
-error 2.586601574801685e+18
- y tested = 5326600510.288329
-y predicted = 3994181521.76213
-error 1.7753403609851802e+18
- y tested = 5072151352.996373
-y predicted = 4384549270.630382
-error 4.727966236740479e+17
- y tested = 7650055845.407672
-y predicted = 5867144909.506734
-error 3.1787714053551585e+18
- y tested = 5789616901.049658
-y predicted = 6070662421.510194
-error 7.898658457093357e+16
- y tested = 8224428196.629629
-y predicted = 7514514652.73851
-error 5.0397723980004774e+17
- y tested = 4059018123.5159216
-y predicted = 5092320222.676686
-error 1.0677132281300428e+18
- y tested = 5947637003.818383
-y predicted = 4062710052.30256
-error 3.5529496125507354e+18
- y tested = 997516184.7000968
-y predicted = 523153209.0464259
-error 2.2502023267100525e+17
- y tested = 6532788063.289651
-y predicted = 6661517296.374181
-error 1.6571215450531222e+16
- y tested = 1980229389.772511
-y predicted = 3510151754.0712223
-error 2.3406624407813586e+18
- y tested = 5035525633.343237
-y predicted = 5184906109.519195
-error 2.231452666255586e+16
- y tested = 5026691733.102776
-y predicted = 5314389163.149134
-error 8.276981125527912e+16
- y tested = 1014996574.3865615
-y predicted = 1223065347.744798
-error 4.329261444680116e+16
- y tested = 7665772326.561901
-y predicted = 6805875046.952879
-error 7.394233314789969e+17
- y tested = 3029054692.61153
-y predicted = 4782725903.656747
-error 3.075362716448798e+18
- y tested = 4062233415.93208
-y predicted = 4835981314.176013
-error 5.986858100369041e+17
- y tested = 5822958761.806049
-y predicted = 6353043569.814995
-error 2.8098990368188058e+17
- y tested = 6611133148.221605
-y predicted = 6345559979.9681225
-error 7.0529107696192696e+16
- y tested = 5377240292.736961
-y predicted = 3026205291.0273056
-error 5.527365579263921e+18
-error squared vector [2.586601574801685e+18, 1.7753403609851802e+18, 4.727966236740479e+17, 3.1787714053551585e+18, 7.898658457093357e+16, 5.0397723980004774e+17, 1.0677132281300428e+18, 3.5529496125507354e+18, 2.2502023267100525e+17, 1.6571215450531222e+16, 2.3406624407813586e+18, 2.231452666255586e+16, 8.276981125527912e+16, 4.329261444680116e+16, 7.394233314789969e+17, 3.075362716448798e+18, 5.986858100369041e+17, 2.8098990368188058e+17, 7.0529107696192696e+16, 5.527365579263921e+18]
-Total loo_error 1.3120061959871027e+18
-iteration 203current difference of loo_error 88480876773888.0
- getting loo error of with lamda = 0.014812621029007385, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1641389236.0405824
-error 2.6941586239163223e+18
- y tested = 5326600510.288329
-y predicted = 3988636924.781092
-error 1.7901465561433815e+18
- y tested = 5072151352.996373
-y predicted = 4428265547.65921
-error 4.145889303146869e+17
- y tested = 7650055845.407672
-y predicted = 5820760308.635838
-error 3.3463221608533535e+18
- y tested = 5789616901.049658
-y predicted = 6058014109.78686
-error 7.203706165792153e+16
- y tested = 8224428196.629629
-y predicted = 7469680415.11378
-error 5.6964421370309594e+17
- y tested = 4059018123.5159216
-y predicted = 5098839076.642788
-error 1.0812276145616648e+18
- y tested = 5947637003.818383
-y predicted = 4051031455.6333714
-error 3.5971126054061696e+18
- y tested = 997516184.7000968
-y predicted = 568386798.0012267
-error 1.8415203052854845e+17
- y tested = 6532788063.289651
-y predicted = 6708482353.417468
-error 3.0868483583517588e+16
- y tested = 1980229389.772511
-y predicted = 3476043146.8256636
-error 2.2374587957894676e+18
- y tested = 5035525633.343237
-y predicted = 5205317849.022183
-error 2.8829396505165884e+16
- y tested = 5026691733.102776
-y predicted = 5311546664.662769
-error 8.114233203404872e+16
- y tested = 1014996574.3865615
-y predicted = 1262236531.9543264
-error 6.112759661811018e+16
- y tested = 7665772326.561901
-y predicted = 6774628412.751467
-error 7.941374751213788e+17
- y tested = 3029054692.61153
-y predicted = 4741602998.42793
-error 2.932821699754622e+18
- y tested = 4062233415.93208
-y predicted = 4775805678.947348
-error 5.091853745447306e+17
- y tested = 5822958761.806049
-y predicted = 6304882033.200398
-error 2.3225003951143146e+17
- y tested = 6611133148.221605
-y predicted = 6344917387.507331
-error 7.087083125267981e+16
- y tested = 5377240292.736961
-y predicted = 3029429436.828228
-error 5.512215815122899e+18
-error squared vector [2.6941586239163223e+18, 1.7901465561433815e+18, 4.145889303146869e+17, 3.3463221608533535e+18, 7.203706165792153e+16, 5.6964421370309594e+17, 1.0812276145616648e+18, 3.5971126054061696e+18, 1.8415203052854845e+17, 3.0868483583517588e+16, 2.2374587957894676e+18, 2.8829396505165884e+16, 8.114233203404872e+16, 6.112759661811018e+16, 7.941374751213788e+17, 2.932821699754622e+18, 5.091853745447306e+17, 2.3225003951143146e+17, 7.087083125267981e+16, 5.512215815122899e+18]
-Total loo_error 1.31201488184616e+18
-iteration 204current difference of loo_error 8685859057152.0
- getting loo error of with lamda = 0.014755704566233084, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1640400965.5969064
-error 2.690915327657863e+18
- y tested = 5326600510.288329
-y predicted = 3988805064.9265203
-error 1.7896966536308004e+18
- y tested = 5072151352.996373
-y predicted = 4427008915.033573
-error 4.162087652605853e+17
- y tested = 7650055845.407672
-y predicted = 5822137142.993819
-error 3.341286782634343e+18
- y tested = 5789616901.049658
-y predicted = 6058331682.135236
-error 7.22076335738701e+16
- y tested = 8224428196.629629
-y predicted = 7471008503.221873
-error 5.676412344146368e+17
- y tested = 4059018123.5159216
-y predicted = 5098647914.951254
-error 1.0808301032398725e+18
- y tested = 5947637003.818383
-y predicted = 4051407554.4591246
-error 3.5956861246173174e+18
- y tested = 997516184.7000968
-y predicted = 567049736.8437642
-error 1.8530136273004877e+17
- y tested = 6532788063.289651
-y predicted = 6707197230.702204
-error 3.041855767753988e+16
- y tested = 1980229389.772511
-y predicted = 3477004159.2966785
-error 2.240334710684125e+18
- y tested = 5035525633.343237
-y predicted = 5204754960.610119
-error 2.863856520720143e+16
- y tested = 5026691733.102776
-y predicted = 5311626181.532498
-error 8.118763990195035e+16
- y tested = 1014996574.3865615
-y predicted = 1261082500.1211538
-error 6.055828284465129e+16
- y tested = 7665772326.561901
-y predicted = 6775545090.373835
-error 7.925045320510435e+17
- y tested = 3029054692.61153
-y predicted = 4742780584.172002
-error 2.9368564314047345e+18
- y tested = 4062233415.93208
-y predicted = 4777518505.200802
-error 5.116327589301637e+17
- y tested = 5822958761.806049
-y predicted = 6306199978.803458
-error 2.335220738051368e+17
- y tested = 6611133148.221605
-y predicted = 6344935207.894517
-error 7.08613434343841e+16
- y tested = 5377240292.736961
-y predicted = 3029359593.5145354
-error 5.512543777781188e+18
-error squared vector [2.690915327657863e+18, 1.7896966536308004e+18, 4.162087652605853e+17, 3.341286782634343e+18, 7.22076335738701e+16, 5.676412344146368e+17, 1.0808301032398725e+18, 3.5956861246173174e+18, 1.8530136273004877e+17, 3.041855767753988e+16, 2.240334710684125e+18, 2.863856520720143e+16, 8.118763990195035e+16, 6.055828284465129e+16, 7.925045320510435e+17, 2.9368564314047345e+18, 5.116327589301637e+17, 2.335220738051368e+17, 7.08613434343841e+16, 5.512543777781188e+18]
-Total loo_error 1.3119416330740723e+18
-iteration 205current difference of loo_error -64562913030400.0
- getting loo error of with lamda = 0.012989569478933578, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1609278614.4840848
-error 2.5897776587676027e+18
- y tested = 5326600510.288329
-y predicted = 3994018876.113807
-error 1.7757738117392394e+18
- y tested = 5072151352.996373
-y predicted = 4385905498.712138
-error 4.709333725222995e+17
- y tested = 7650055845.407672
-y predicted = 5865754052.354444
-error 3.183732888692966e+18
- y tested = 5789616901.049658
-y predicted = 6070220057.923447
-error 7.873813164753614e+16
- y tested = 8224428196.629629
-y predicted = 7513166556.872694
-error 5.0589312018972416e+17
- y tested = 4059018123.5159216
-y predicted = 5092518004.102252
-error 1.0681220031719592e+18
- y tested = 5947637003.818383
-y predicted = 4062391315.9707313
-error 3.554151303548166e+18
- y tested = 997516184.7000968
-y predicted = 524516572.37836754
-error 2.237286332565062e+17
- y tested = 6532788063.289651
-y predicted = 6663044208.839392
-error 1.6966663453475258e+16
- y tested = 1980229389.772511
-y predicted = 3509075026.7056036
-error 2.3373689815693537e+18
- y tested = 5035525633.343237
-y predicted = 5185564496.641761
-error 2.2511660499913144e+16
- y tested = 5026691733.102776
-y predicted = 5314298297.309276
-error 8.271753577466763e+16
- y tested = 1014996574.3865615
-y predicted = 1224249723.4573417
-error 4.378688039603814e+16
- y tested = 7665772326.561901
-y predicted = 6804926870.615628
-error 7.410548990233464e+17
- y tested = 3029054692.61153
-y predicted = 4781445538.442256
-error 3.070873676551328e+18
- y tested = 4062233415.93208
-y predicted = 4834097323.791969
-error 5.9577389225674e+17
- y tested = 5822958761.806049
-y predicted = 6351477781.852824
-error 2.793323545512032e+17
- y tested = 6611133148.221605
-y predicted = 6345539669.777692
-error 7.053989579193752e+16
- y tested = 5377240292.736961
-y predicted = 3026330102.0904207
-error 5.526778724485754e+18
-error squared vector [2.5897776587676027e+18, 1.7757738117392394e+18, 4.709333725222995e+17, 3.183732888692966e+18, 7.873813164753614e+16, 5.0589312018972416e+17, 1.0681220031719592e+18, 3.554151303548166e+18, 2.237286332565062e+17, 1.6966663453475258e+16, 2.3373689815693537e+18, 2.2511660499913144e+16, 8.271753577466763e+16, 4.378688039603814e+16, 7.410548990233464e+17, 3.070873676551328e+18, 5.9577389225674e+17, 2.793323545512032e+17, 7.053989579193752e+16, 5.526778724485754e+18]
-Total loo_error 1.3119278043944876e+18
-iteration 206current difference of loo_error 13828679584768.0
- getting loo error of with lamda = 0.014702185321163403, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1639470860.2450957
-error 2.6878647013195494e+18
- y tested = 5326600510.288329
-y predicted = 3988963171.262387
-error 1.7892736507564037e+18
- y tested = 5072151352.996373
-y predicted = 4425823702.36764
-error 4.177394319672584e+17
- y tested = 7650055845.407672
-y predicted = 5823433434.188039
-error 3.3365494331698263e+18
- y tested = 5789616901.049658
-y predicted = 6058633675.820502
-error 7.237002510810726e+16
- y tested = 8224428196.629629
-y predicted = 7472259005.380589
-error 5.6575849226423584e+17
- y tested = 4059018123.5159216
-y predicted = 5098467802.979746
-error 1.080455636137447e+18
- y tested = 5947637003.818383
-y predicted = 4051760094.7272353
-error 3.5943492544250045e+18
- y tested = 997516184.7000968
-y predicted = 565790647.3508073
-error 1.863869395995328e+17
- y tested = 6532788063.289651
-y predicted = 6705981632.2225
-error 2.9996012319697496e+16
- y tested = 1980229389.772511
-y predicted = 3477911722.365516
-error 2.243052369361225e+18
- y tested = 5035525633.343237
-y predicted = 5204222744.902693
-error 2.84587154485035e+16
- y tested = 5026691733.102776
-y predicted = 5311701281.147213
-error 8.123044247649448e+16
- y tested = 1014996574.3865615
-y predicted = 1259995545.9797168
-error 6.0024496081703704e+16
- y tested = 7665772326.561901
-y predicted = 6776408732.118056
-error 7.909676031220756e+17
- y tested = 3029054692.61153
-y predicted = 4743891497.97975
-error 2.940665269045482e+18
- y tested = 4062233415.93208
-y predicted = 4779134955.531888
-error 5.1394781748057536e+17
- y tested = 5822958761.806049
-y predicted = 6307446614.594063
-error 2.347284794991398e+17
- y tested = 6611133148.221605
-y predicted = 6344952065.818676
-error 7.085236862919504e+16
- y tested = 5377240292.736961
-y predicted = 3029292493.679123
-error 5.512858867100548e+18
-error squared vector [2.6878647013195494e+18, 1.7892736507564037e+18, 4.177394319672584e+17, 3.3365494331698263e+18, 7.237002510810726e+16, 5.6575849226423584e+17, 1.080455636137447e+18, 3.5943492544250045e+18, 1.863869395995328e+17, 2.9996012319697496e+16, 2.243052369361225e+18, 2.84587154485035e+16, 8.123044247649448e+16, 6.0024496081703704e+16, 7.909676031220756e+17, 2.940665269045482e+18, 5.1394781748057536e+17, 2.347284794991398e+17, 7.085236862919504e+16, 5.512858867100548e+18]
-Total loo_error 1.3118765002656005e+18
-iteration 207current difference of loo_error -51304128887040.0
- getting loo error of with lamda = 0.013041466928698118, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1610205982.7850845
-error 2.5927633067285125e+18
- y tested = 5326600510.288329
-y predicted = 3993865913.439593
-error 1.7761815056375636e+18
- y tested = 5072151352.996373
-y predicted = 4387176484.095837
-error 4.691905710253072e+17
- y tested = 7650055845.407672
-y predicted = 5864447741.23378
-error 3.1883963016914806e+18
- y tested = 5789616901.049658
-y predicted = 6069808424.144128
-error 7.850728961399893e+16
- y tested = 8224428196.629629
-y predicted = 7511900680.4973345
-error 5.076954612456574e+17
- y tested = 4059018123.5159216
-y predicted = 5092703636.082614
-error 1.0685057388902655e+18
- y tested = 5947637003.818383
-y predicted = 4062090080.4698563
-error 3.555287200149096e+18
- y tested = 997516184.7000968
-y predicted = 525796581.902174
-error 2.225193836638301e+17
- y tested = 6532788063.289651
-y predicted = 6664471091.732695
-error 1.7340419979931458e+16
- y tested = 1980229389.772511
-y predicted = 3508066908.984203
-error 2.334287485110937e+18
- y tested = 5035525633.343237
-y predicted = 5186180074.262049
-error 2.2696760568559756e+16
- y tested = 5026691733.102776
-y predicted = 5314213316.608221
-error 8.266866098147886e+16
- y tested = 1014996574.3865615
-y predicted = 1225361488.7563
-error 4.425339719778739e+16
- y tested = 7665772326.561901
-y predicted = 6804036982.683484
-error 7.425878028892536e+17
- y tested = 3029054692.61153
-y predicted = 4780245898.31303
-error 3.0666706389262746e+18
- y tested = 4062233415.93208
-y predicted = 4832332677.114778
-error 5.93052872074137e+17
- y tested = 5822958761.806049
-y predicted = 6350014570.652697
-error 2.7778782563899357e+17
- y tested = 6611133148.221605
-y predicted = 6345520637.328612
-error 7.055000594288031e+16
- y tested = 5377240292.736961
-y predicted = 3026445619.0798635
-error 5.526235597694581e+18
-error squared vector [2.5927633067285125e+18, 1.7761815056375636e+18, 4.691905710253072e+17, 3.1883963016914806e+18, 7.850728961399893e+16, 5.076954612456574e+17, 1.0685057388902655e+18, 3.555287200149096e+18, 2.225193836638301e+17, 1.7340419979931458e+16, 2.334287485110937e+18, 2.2696760568559756e+16, 8.266866098147886e+16, 4.425339719778739e+16, 7.425878028892536e+17, 3.0666706389262746e+18, 5.93052872074137e+17, 2.7778782563899357e+17, 7.055000594288031e+16, 5.526235597694581e+18]
-Total loo_error 1.3118589112825267e+18
-iteration 208current difference of loo_error 17588983073792.0
- getting loo error of with lamda = 0.014651860521391728, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1638595542.3892007
-error 2.68499535126466e+18
- y tested = 5326600510.288329
-y predicted = 3989111841.7521663
-error 1.7888759384626378e+18
- y tested = 5072151352.996373
-y predicted = 4424706040.193645
-error 4.1918543307022317e+17
- y tested = 7650055845.407672
-y predicted = 5824653800.713064
-error 3.3320926247752545e+18
- y tested = 5789616901.049658
-y predicted = 6058920656.699674
-error 7.252451280720344e+16
- y tested = 8224428196.629629
-y predicted = 7473436361.568734
-error 5.639887363281305e+17
- y tested = 4059018123.5159216
-y predicted = 5098298122.55167
-error 1.0801029163957454e+18
- y tested = 5947637003.818383
-y predicted = 4052090599.667204
-error 3.593096170290466e+18
- y tested = 997516184.7000968
-y predicted = 564605081.6516523
-error 1.8741202314262093e+17
- y tested = 6532788063.289651
-y predicted = 6704832189.38696
-error 2.95991813245868e+16
- y tested = 1980229389.772511
-y predicted = 3478768590.8784447
-error 2.24561973725121e+18
- y tested = 5035525633.343237
-y predicted = 5203719691.484933
-error 2.828924119417221e+16
- y tested = 5026691733.102776
-y predicted = 5311772192.57595
-error 8.127086837343606e+16
- y tested = 1014996574.3865615
-y predicted = 1258971868.8101344
-error 5.952394428906908e+16
- y tested = 7665772326.561901
-y predicted = 6777222312.711726
-error 7.89521127113146e+17
- y tested = 3029054692.61153
-y predicted = 4744939322.325843
-error 2.9442600624898253e+18
- y tested = 4062233415.93208
-y predicted = 4780660137.380283
-error 5.1613695409081466e+17
- y tested = 5822958761.806049
-y predicted = 6308625397.395021
-error 2.3587208092431142e+17
- y tested = 6611133148.221605
-y predicted = 6344968006.6748705
-error 7.084388257459338e+16
- y tested = 5377240292.736961
-y predicted = 3029228126.657449
-error 5.513161132057404e+18
-error squared vector [2.68499535126466e+18, 1.7888759384626378e+18, 4.1918543307022317e+17, 3.3320926247752545e+18, 7.252451280720344e+16, 5.639887363281305e+17, 1.0801029163957454e+18, 3.593096170290466e+18, 1.8741202314262093e+17, 2.95991813245868e+16, 2.24561973725121e+18, 2.828924119417221e+16, 8.127086837343606e+16, 5.952394428906908e+16, 7.89521127113146e+17, 2.9442600624898253e+18, 5.1613695409081466e+17, 2.3587208092431142e+17, 7.084388257459338e+16, 5.513161132057404e+18]
-Total loo_error 1.3118185959109757e+18
-iteration 209current difference of loo_error -40315371550976.0
- getting loo error of with lamda = 0.013090266734537318, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1611077275.0466619
-error 2.595569985903265e+18
- y tested = 5326600510.288329
-y predicted = 3993722059.449848
-error 1.776564964709589e+18
- y tested = 5072151352.996373
-y predicted = 4388367840.456006
-error 4.6755989202204243e+17
- y tested = 7650055845.407672
-y predicted = 5863220754.085806
-error 3.1927796435792215e+18
- y tested = 5789616901.049658
-y predicted = 6069425148.921423
-error 7.829265557706715e+16
- y tested = 8224428196.629629
-y predicted = 7510711907.700693
-error 5.093909410824925e+17
- y tested = 4059018123.5159216
-y predicted = 5092877883.55775
-error 1.0688660034337464e+18
- y tested = 5947637003.818383
-y predicted = 4061805492.435454
-error 3.5563604893248236e+18
- y tested = 997516184.7000968
-y predicted = 526998449.2524838
-error 2.2138693937074998e+17
- y tested = 6532788063.289651
-y predicted = 6665805011.863442
-error 1.7693508607882694e+16
- y tested = 1980229389.772511
-y predicted = 3507122784.417129
-error 2.3314034386093655e+18
- y tested = 5035525633.343237
-y predicted = 5186755827.58128
-error 2.2870571649276164e+16
- y tested = 5026691733.102776
-y predicted = 5314133811.4834385
-error 8.262294842379517e+16
- y tested = 1014996574.3865615
-y predicted = 1226405205.7608187
-error 4.469360941953657e+16
- y tested = 7665772326.561901
-y predicted = 6803201705.21921
-error 7.440280768035168e+17
- y tested = 3029054692.61153
-y predicted = 4779121638.937132
-error 3.0627343166214175e+18
- y tested = 4062233415.93208
-y predicted = 4830679410.412975
-error 5.905092464337325e+17
- y tested = 5822958761.806049
-y predicted = 6348646689.426845
-error 2.7634779724624646e+17
- y tested = 6611133148.221605
-y predicted = 6345502800.145756
-error 7.055948181889698e+16
- y tested = 5377240292.736961
-y predicted = 3026552625.9352775
-error 5.525732506853545e+18
-error squared vector [2.595569985903265e+18, 1.776564964709589e+18, 4.6755989202204243e+17, 3.1927796435792215e+18, 7.829265557706715e+16, 5.093909410824925e+17, 1.0688660034337464e+18, 3.5563604893248236e+18, 2.2138693937074998e+17, 1.7693508607882694e+16, 2.3314034386093655e+18, 2.2870571649276164e+16, 8.262294842379517e+16, 4.469360941953657e+16, 7.440280768035168e+17, 3.0627343166214175e+18, 5.905092464337325e+17, 2.7634779724624646e+17, 7.055948181889698e+16, 5.525732506853545e+18]
-Total loo_error 1.3117983508745103e+18
-iteration 210current difference of loo_error 20245036465408.0
- getting loo error of with lamda = 0.014604539497547654, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0303-1000'
+--- Neighbour 0 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 0 in the X datas point
+--------------
+ --- Configuration: 0303-1010
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 8236960890.90969
+ --- Energy: 61.00540758755291
+ --- Workload: 502499000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0303-1000'
+--- Neighbour 0 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 40 in the X datas point
+--------------
+ --- Configuration: 3300-1000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5058399218.983161
+ --- Energy: 36.78276420172299
+ --- Workload: 186062000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
+--------------
+ --- Configuration: 0303-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8236960890.90969
+ --- Energy: 61.00540758755291
+ --- Workload: 502499000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (53.6166443408558 mAh) it is NOT far from the median.
+--- Median :53.6166443408558, the gap is : 10
+--- So No we don't romove this configuration '0303-1000'
+ --- remove_aberrant_points: The value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+--- Computing the list of the 10 first neighbours of '0110-0020'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1637771825.311126
-error 2.6822965515099756e+18
- y tested = 5326600510.288329
-y predicted = 3989251638.8880253
-error 1.7885020038356664e+18
- y tested = 5072151352.996373
-y predicted = 4423652247.930236
-error 4.20551089271581e+17
- y tested = 7650055845.407672
-y predicted = 5825802607.134056
-error 3.3278998773517737e+18
- y tested = 5789616901.049658
-y predicted = 6059193194.698621
-error 7.267137809751192e+16
- y tested = 8224428196.629629
-y predicted = 7474544768.196463
-error 5.6232515623867994e+17
- y tested = 4059018123.5159216
-y predicted = 5098138287.669226
-error 1.0797707155499896e+18
- y tested = 5947637003.818383
-y predicted = 4052400489.871272
-error 3.5919214437983985e+18
- y tested = 997516184.7000968
-y predicted = 563488834.5306628
-error 1.8837974069510054e+17
- y tested = 6532788063.289651
-y predicted = 6703745652.283456
-error 2.9226497234574732e+16
- y tested = 1980229389.772511
-y predicted = 3479577402.792791
-error 2.2480444641478615e+18
- y tested = 5035525633.343237
-y predicted = 5203244345.942075
-error 2.8129566555811572e+16
- y tested = 5026691733.102776
-y predicted = 5311839134.665535
-error 8.130904061799357e+16
- y tested = 1014996574.3865615
-y predicted = 1258007872.215701
-error 5.905449087260278e+16
- y tested = 7665772326.561901
-y predicted = 6777988650.829456
-error 7.881598548970107e+17
- y tested = 3029054692.61153
-y predicted = 4745927468.353639
-error 2.9476521280844134e+18
- y tested = 4062233415.93208
-y predicted = 4782098922.64539
-error 5.1820634775561024e+17
- y tested = 5822958761.806049
-y predicted = 6309739661.916725
-error 2.3695564471255974e+17
- y tested = 6611133148.221605
-y predicted = 6344983074.580293
-error 7.083586169927612e+16
- y tested = 5377240292.736961
-y predicted = 3029166466.607542
-error 5.513450692954051e+18
-error squared vector [2.6822965515099756e+18, 1.7885020038356664e+18, 4.20551089271581e+17, 3.3278998773517737e+18, 7.267137809751192e+16, 5.6232515623867994e+17, 1.0797707155499896e+18, 3.5919214437983985e+18, 1.8837974069510054e+17, 2.9226497234574732e+16, 2.2480444641478615e+18, 2.8129566555811572e+16, 8.130904061799357e+16, 5.905449087260278e+16, 7.881598548970107e+17, 2.9476521280844134e+18, 5.1820634775561024e+17, 2.3695564471255974e+17, 7.083586169927612e+16, 5.513450692954051e+18]
-Total loo_error 1.3117671272940221e+18
-iteration 211current difference of loo_error -31223580488192.0
- getting loo error of with lamda = 0.013136153787961874, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1611895923.2985783
-error 2.598208467277927e+18
- y tested = 5326600510.288329
-y predicted = 3993586773.5749636
-error 1.7769256222665298e+18
- y tested = 5072151352.996373
-y predicted = 4389484780.425279
-error 4.6603364930596544e+17
- y tested = 7650055845.407672
-y predicted = 5862068200.594663
-error 3.1968998180039716e+18
- y tested = 5789616901.049658
-y predicted = 6069068071.161749
-error 7.809295647701686e+16
- y tested = 8224428196.629629
-y predicted = 7509595452.988177
-error 5.109858513819656e+17
- y tested = 4059018123.5159216
-y predicted = 5093041461.238629
-error 1.069204262955209e+18
- y tested = 5947637003.818383
-y predicted = 4061536724.681879
-error 3.557374262958799e+18
- y tested = 997516184.7000968
-y predicted = 528127046.32104456
-error 2.203261632282291e+17
- y tested = 6532788063.289651
-y predicted = 6667052475.444555
-error 1.802693237130203e+16
- y tested = 1980229389.772511
-y predicted = 3506238375.603194
-error 2.3287034248359905e+18
- y tested = 5035525633.343237
-y predicted = 5187294509.700859
-error 2.30337918308552e+16
- y tested = 5026691733.102776
-y predicted = 5314059404.434491
-error 8.258017852661291e+16
- y tested = 1014996574.3865615
-y predicted = 1227385136.8254156
-error 4.510890145484302e+16
- y tested = 7665772326.561901
-y predicted = 6802417603.265578
-error 7.453813782380701e+17
- y tested = 3029054692.61153
-y predicted = 4778067800.801615
-error 3.0590468526207416e+18
- y tested = 4062233415.93208
-y predicted = 4829130140.067165
-error 5.881305854891255e+17
- y tested = 5822958761.806049
-y predicted = 6347367466.24526
-error 2.7500448929161165e+17
- y tested = 6611133148.221605
-y predicted = 6345486081.127233
-error 7.056836425584218e+16
- y tested = 5377240292.736961
-y predicted = 3026651830.492125
-error 5.525266118838544e+18
-error squared vector [2.598208467277927e+18, 1.7769256222665298e+18, 4.6603364930596544e+17, 3.1968998180039716e+18, 7.809295647701686e+16, 5.109858513819656e+17, 1.069204262955209e+18, 3.557374262958799e+18, 2.203261632282291e+17, 1.802693237130203e+16, 2.3287034248359905e+18, 2.30337918308552e+16, 8.258017852661291e+16, 4.510890145484302e+16, 7.453813782380701e+17, 3.0590468526207416e+18, 5.881305854891255e+17, 2.7500448929161165e+17, 7.056836425584218e+16, 5.525266118838544e+18]
-Total loo_error 1.3117451035804575e+18
-iteration 212current difference of loo_error 22023713564672.0
- getting loo error of with lamda = 0.014560042960893539, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1636996702.990205
-error 2.6797582053279693e+18
- y tested = 5326600510.288329
-y predicted = 3989383091.764787
-error 1.7881504244027656e+18
- y tested = 5072151352.996373
-y predicted = 4422658826.93214
-error 4.218405414132982e+17
- y tested = 7650055845.407672
-y predicted = 5826883976.757625
-error 3.3239556626369055e+18
- y tested = 5789616901.049658
-y predicted = 6059451859.862216
-error 7.281090499737496e+16
- y tested = 8224428196.629629
-y predicted = 7475588190.267336
-error 5.6076135512867936e+17
- y tested = 4059018123.5159216
-y predicted = 5097987743.124815
-error 1.0794578704702486e+18
- y tested = 5947637003.818383
-y predicted = 4052691090.4883785
-error 3.5908200144460856e+18
- y tested = 997516184.7000968
-y predicted = 562437931.4195868
-error 1.8929308647761968e+17
- y tested = 6532788063.289651
-y predicted = 6702718890.8671055
-error 2.887648616115859e+16
- y tested = 1980229389.772511
-y predicted = 3480340681.118068
-error 2.2503338864224353e+18
- y tested = 5035525633.343237
-y predicted = 5202795310.006163
-error 2.7979144730919716e+16
- y tested = 5026691733.102776
-y predicted = 5311902316.3368635
-error 8.13450767887286e+16
- y tested = 1014996574.3865615
-y predicted = 1257100154.3773506
-error 5.861414344435639e+16
- y tested = 7665772326.561901
-y predicted = 6778710416.019855
-error 7.868788331345057e+17
- y tested = 3029054692.61153
-y predicted = 4746859181.729317
-error 2.9508522628332206e+18
- y tested = 4062233415.93208
-y predicted = 4783455954.573132
-error 5.201619502438434e+17
- y tested = 5822958761.806049
-y predicted = 6310792619.60987
-error 2.3798187281975827e+17
- y tested = 6611133148.221605
-y predicted = 6344997312.283369
-error 7.082828317054379e+16
- y tested = 5377240292.736961
-y predicted = 3029107474.9469204
-error 5.513727729982598e+18
-error squared vector [2.6797582053279693e+18, 1.7881504244027656e+18, 4.218405414132982e+17, 3.3239556626369055e+18, 7.281090499737496e+16, 5.6076135512867936e+17, 1.0794578704702486e+18, 3.5908200144460856e+18, 1.8929308647761968e+17, 2.887648616115859e+16, 2.2503338864224353e+18, 2.7979144730919716e+16, 8.13450767887286e+16, 5.861414344435639e+16, 7.868788331345057e+17, 2.9508522628332206e+18, 5.201619502438434e+17, 2.3798187281975827e+17, 7.082828317054379e+16, 5.513727729982598e+18]
-Total loo_error 1.311721386751651e+18
-iteration 213current difference of loo_error -23716828806400.0
- getting loo error of with lamda = 0.013179301944717378, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1612665144.667375
-error 2.6006888685562685e+18
- y tested = 5326600510.288329
-y predicted = 3993459547.0406003
-error 1.7772648278890824e+18
- y tested = 5072151352.996373
-y predicted = 4390532148.091128
-error 4.646047404956581e+17
- y tested = 7650055845.407672
-y predicted = 5860985500.13038
-error 3.20077270035061e+18
- y tested = 5789616901.049658
-y predicted = 6068735218.273972
-error 7.790703501013264e+16
- y tested = 8224428196.629629
-y predicted = 7508546838.491761
-error 5.1248611892931834e+17
- y tested = 4059018123.5159216
-y predicted = 5093195037.125262
-error 1.0695218886425417e+18
- y tested = 5947637003.818383
-y predicted = 4061282977.975435
-error 3.558331510813899e+18
- y tested = 997516184.7000968
-y predicted = 529186929.08255714
-error 2.1933229166727885e+17
- y tested = 6532788063.289651
-y predicted = 6668219479.7632675
-error 1.8341668568050188e+16
- y tested = 1980229389.772511
-y predicted = 3505409716.0874534
-error 2.326175027778154e+18
- y tested = 5035525633.343237
-y predicted = 5187798662.459675
-error 2.3187075396295548e+16
- y tested = 5026691733.102776
-y predicted = 5313989747.069944
-error 8.254014882947952e+16
- y tested = 1014996574.3865615
-y predicted = 1228305265.7897668
-error 4.5500597828147864e+16
- y tested = 7665772326.561901
-y predicted = 6801681467.560808
-error 7.466530126092466e+17
- y tested = 3029054692.61153
-y predicted = 4777079777.73759
-error 3.0555916982299694e+18
- y tested = 4062233415.93208
-y predicted = 4827678014.475935
-error 5.859054334399636e+17
- y tested = 5822958761.806049
-y predicted = 6346170751.056606
-error 2.7375078569552493e+17
- y tested = 6611133148.221605
-y predicted = 6345470408.225879
-error 7.057669142203702e+16
- y tested = 5377240292.736961
-y predicted = 3026743872.917083
-error 5.524833419586066e+18
-error squared vector [2.6006888685562685e+18, 1.7772648278890824e+18, 4.646047404956581e+17, 3.20077270035061e+18, 7.790703501013264e+16, 5.1248611892931834e+17, 1.0695218886425417e+18, 3.558331510813899e+18, 2.1933229166727885e+17, 1.8341668568050188e+16, 2.326175027778154e+18, 2.3187075396295548e+16, 8.254014882947952e+16, 4.5500597828147864e+16, 7.466530126092466e+17, 3.0555916982299694e+18, 5.859054334399636e+17, 2.7375078569552493e+17, 7.057669142203702e+16, 5.524833419586066e+18]
-Total loo_error 1.3116982770868864e+18
-iteration 214current difference of loo_error 23109664764672.0
- getting loo error of with lamda = 0.014518202324039716, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1636267340.3953066
-error 2.6773708089716193e+18
- y tested = 5326600510.288329
-y predicted = 3989506698.0382195
-error 1.7878198627575316e+18
- y tested = 5072151352.996373
-y predicted = 4421722453.537539
-error 4.2305775325123085e+17
- y tested = 7650055845.407672
-y predicted = 5827901803.826486
-error 3.3202453512506516e+18
- y tested = 5789616901.049658
-y predicted = 6059697218.965824
-error 7.294337812569746e+16
- y tested = 8224428196.629629
-y predicted = 7476570373.072063
-error 5.592913242562591e+17
- y tested = 4059018123.5159216
-y predicted = 5097845963.138513
-error 1.0791632803749396e+18
- y tested = 5947637003.818383
-y predicted = 4052963637.9093866
-error 3.5897871634849265e+18
- y tested = 997516184.7000968
-y predicted = 561448616.847457
-error 1.901549237329166e+17
- y tested = 6532788063.289651
-y predicted = 6701748895.313404
-error 2.8547762758158932e+16
- y tested = 1980229389.772511
-y predicted = 3481060836.249506
-error 2.252495030734229e+18
- y tested = 5035525633.343237
-y predicted = 5202371241.36087
-error 2.7837456914773788e+16
- y tested = 5026691733.102776
-y predicted = 5311961936.887722
-error 8.137908916750486e+16
- y tested = 1014996574.3865615
-y predicted = 1256245498.6312761
-error 5.8201043449232056e+16
- y tested = 7665772326.561901
-y predicted = 6779390135.478358
-error 7.856733886700622e+17
- y tested = 3029054692.61153
-y predicted = 4747737548.569431
-error 2.9538707593636086e+18
- y tested = 4062233415.93208
-y predicted = 4784735654.929965
-error 5.2200948535695725e+17
- y tested = 5822958761.806049
-y predicted = 6311787358.362165
-error 2.389533968110221e+17
- y tested = 6611133148.221605
-y predicted = 6345010761.096169
-error 7.082112492934034e+16
- y tested = 5377240292.736961
-y predicted = 3029051102.5109854
-error 5.513992473094125e+18
-error squared vector [2.6773708089716193e+18, 1.7878198627575316e+18, 4.2305775325123085e+17, 3.3202453512506516e+18, 7.294337812569746e+16, 5.592913242562591e+17, 1.0791632803749396e+18, 3.5897871634849265e+18, 1.901549237329166e+17, 2.8547762758158932e+16, 2.252495030734229e+18, 2.7837456914773788e+16, 8.137908916750486e+16, 5.8201043449232056e+16, 7.856733886700622e+17, 2.9538707593636086e+18, 5.2200948535695725e+17, 2.389533968110221e+17, 7.082112492934034e+16, 5.513992473094125e+18]
-Total loo_error 1.3116807428727393e+18
-iteration 215current difference of loo_error -17534214147072.0
- getting loo error of with lamda = 0.013219874683484721, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1613387955.406573
-error 2.6030206943821046e+18
- y tested = 5326600510.288329
-y predicted = 3993339901.0430818
-error 1.7775838521650081e+18
- y tested = 5072151352.996373
-y predicted = 4391514448.391487
-error 4.6326659591012077e+17
- y tested = 7650055845.407672
-y predicted = 5859968361.254922
-error 3.204413200920322e+18
- y tested = 5789616901.049658
-y predicted = 6068424787.078291
-error 7.773383731175528e+16
- y tested = 8224428196.629629
-y predicted = 7507561872.926061
-error 5.138973260602694e+17
- y tested = 4059018123.5159216
-y predicted = 5093339235.757145
-error 1.0698201632279213e+18
- y tested = 5947637003.818383
-y predicted = 4061043482.230504
-error 3.559235115697356e+18
- y tested = 997516184.7000968
-y predicted = 530182359.54823405
-error 2.1840090413107187e+17
- y tested = 6532788063.289651
-y predicted = 6669311559.268107
-error 1.8638664954179628e+16
- y tested = 1980229389.772511
-y predicted = 3504633124.9077253
-error 2.3238067476941926e+18
- y tested = 5035525633.343237
-y predicted = 5188270635.08444
-error 2.33310355569202e+16
- y tested = 5026691733.102776
-y predicted = 5313924517.480603
-error 8.250267242143963e+16
- y tested = 1014996574.3865615
-y predicted = 1229169317.5422094
-error 4.586996391081511e+16
- y tested = 7665772326.561901
-y predicted = 6800990298.617343
-error 7.478479558559026e+17
- y tested = 3029054692.61153
-y predicted = 4776153288.472965
-error 3.052353503660999e+18
- y tested = 4062233415.93208
-y predicted = 4826316670.634046
-error 5.838232201159492e+17
- y tested = 5822958761.806049
-y predicted = 6345050868.436567
-error 2.7258016780589213e+17
- y tested = 6611133148.221605
-y predicted = 6345455714.137407
-error 7.058449898156338e+16
- y tested = 5377240292.736961
-y predicted = 3026829333.0993423
-error 5.524431679184633e+18
-error squared vector [2.6030206943821046e+18, 1.7775838521650081e+18, 4.6326659591012077e+17, 3.204413200920322e+18, 7.773383731175528e+16, 5.138973260602694e+17, 1.0698201632279213e+18, 3.559235115697356e+18, 2.1840090413107187e+17, 1.8638664954179628e+16, 2.3238067476941926e+18, 2.33310355569202e+16, 8.250267242143963e+16, 4.586996391081511e+16, 7.478479558559026e+17, 3.052353503660999e+18, 5.838232201159492e+17, 2.7258016780589213e+17, 7.058449898156338e+16, 5.524431679184633e+18]
-Total loo_error 1.3116570899974208e+18
-iteration 216current difference of loo_error 23652875318528.0
- getting loo error of with lamda = 0.014478859062204716, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1635581064.235608
-error 2.6751254174134876e+18
- y tested = 5326600510.288329
-y predicted = 3989622925.7716703
-error 1.7875090614999995e+18
- y tested = 5072151352.996373
-y predicted = 4420839972.151436
-error 4.24206514818139e+17
- y tested = 7650055845.407672
-y predicted = 5828859765.237122
-error 3.316755162428578e+18
- y tested = 5789616901.049658
-y predicted = 6059929832.63264
-error 7.306908098098594e+16
- y tested = 8224428196.629629
-y predicted = 7477494853.416107
-error 5.5790941920412896e+17
- y tested = 4059018123.5159216
-y predicted = 5097712450.021105
-error 1.0788859039140562e+18
- y tested = 5947637003.818383
-y predicted = 4053219285.976092
-error 3.5888184896747955e+18
- y tested = 997516184.7000968
-y predicted = 560517343.345401
-error 1.909679873453466e+17
- y tested = 6532788063.289651
-y predicted = 6700832775.647995
-error 2.82390253515986e+16
- y tested = 1980229389.772511
-y predicted = 3481740168.623122
-error 2.254534619004569e+18
- y tested = 5035525633.343237
-y predicted = 5201970853.154986
-error 2.7704011198181596e+16
- y tested = 5026691733.102776
-y predicted = 5312018186.299529
-error 8.141118489383917e+16
- y tested = 1014996574.3865615
-y predicted = 1255440864.3768964
-error 5.781345658895625e+16
- y tested = 7665772326.561901
-y predicted = 6780030200.647347
-error 7.84539113619633e+17
- y tested = 3029054692.61153
-y predicted = 4748565501.397528
-error 2.9567174215318764e+18
- y tested = 4062233415.93208
-y predicted = 4785942231.383535
-error 5.23754449562149e+17
- y tested = 5822958761.806049
-y predicted = 6312726842.926102
-error 2.3987277328401818e+17
- y tested = 6611133148.221605
-y predicted = 6345023460.847963
-error 7.0814365714097464e+16
- y tested = 5377240292.736961
-y predicted = 3028997291.462523
-error 5.514245193034382e+18
-error squared vector [2.6751254174134876e+18, 1.7875090614999995e+18, 4.24206514818139e+17, 3.316755162428578e+18, 7.306908098098594e+16, 5.5790941920412896e+17, 1.0788859039140562e+18, 3.5888184896747955e+18, 1.909679873453466e+17, 2.82390253515986e+16, 2.254534619004569e+18, 2.7704011198181596e+16, 8.141118489383917e+16, 5.781345658895625e+16, 7.84539113619633e+17, 2.9567174215318764e+18, 5.23754449562149e+17, 2.3987277328401818e+17, 7.0814365714097464e+16, 5.514245193034382e+18]
-Total loo_error 1.311644632553141e+18
-iteration 217current difference of loo_error -12457444279808.0
- getting loo error of with lamda = 0.013258025725264116, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1614067183.9421496
-error 2.60521287400993e+18
- y tested = 5326600510.288329
-y predicted = 3993227385.0231676
-error 1.777883891179384e+18
- y tested = 5072151352.996373
-y predicted = 4392435873.764717
-error 4.620131327071199e+17
- y tested = 7650055845.407672
-y predicted = 5859012762.672466
-error 3.207835324213629e+18
- y tested = 5789616901.049658
-y predicted = 6068135126.935011
-error 7.757240215032456e+16
- y tested = 8224428196.629629
-y predicted = 7506636632.135624
-error 5.152247300587516e+17
- y tested = 4059018123.5159216
-y predicted = 5093474641.217607
-error 1.0701002870154964e+18
- y tested = 5947637003.818383
-y predicted = 4060817497.2310624
-error 3.560087850438421e+18
- y tested = 997516184.7000968
-y predicted = 531117326.01712817
-error 2.1752789538077578e+17
- y tested = 6532788063.289651
-y predicted = 6670333826.764476
-error 1.8918837049872476e+16
- y tested = 1980229389.772511
-y predicted = 3503905183.5359674
-error 2.3215879245006986e+18
- y tested = 5035525633.343237
-y predicted = 5188712600.916273
-error 2.3466247034222444e+16
- y tested = 5026691733.102776
-y predicted = 5313863417.894791
-error 8.246757654628446e+16
- y tested = 1014996574.3865615
-y predicted = 1229980776.0484228
-error 4.621820696418785e+16
- y tested = 7665772326.561901
-y predicted = 6800341292.042143
-error 7.48970875509939e+17
- y tested = 3029054692.61153
-y predicted = 4775284350.862514
-error 3.0493180193553475e+18
- y tested = 4062233415.93208
-y predicted = 4825040194.853074
-error 5.818741819678226e+17
- y tested = 5822958761.806049
-y predicted = 6344002575.345742
-error 2.7148665562798624e+17
- y tested = 6611133148.221605
-y predicted = 6345441936.00037
-error 7.059182025158948e+16
- y tested = 5377240292.736961
-y predicted = 3026908737.135871
-error 5.524058421254241e+18
-error squared vector [2.60521287400993e+18, 1.777883891179384e+18, 4.620131327071199e+17, 3.207835324213629e+18, 7.757240215032456e+16, 5.152247300587516e+17, 1.0701002870154964e+18, 3.560087850438421e+18, 2.1752789538077578e+17, 1.8918837049872476e+16, 2.3215879245006986e+18, 2.3466247034222444e+16, 8.246757654628446e+16, 4.621820696418785e+16, 7.48970875509939e+17, 3.0493180193553475e+18, 5.818741819678226e+17, 2.7148665562798624e+17, 7.059182025158948e+16, 5.524058421254241e+18]
-Total loo_error 1.3116208576608013e+18
-iteration 218current difference of loo_error 23774892339712.0
- getting loo error of with lamda = 0.014441864112600455, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1634935354.1539848
-error 2.6730136119901266e+18
- y tested = 5326600510.288329
-y predicted = 3989732215.179346
-error 1.7872168384675988e+18
- y tested = 5072151352.996373
-y predicted = 4420008388.391951
-error 4.252904462830451e+17
- y tested = 7650055845.407672
-y predicted = 5829761331.78089
-error 3.3134721163397606e+18
- y tested = 5789616901.049658
-y predicted = 6060150252.905023
-error 7.318829446609861e+16
- y tested = 8224428196.629629
-y predicted = 7478364970.383135
-error 5.5661033755732774e+17
- y tested = 4059018123.5159216
-y predicted = 5097586732.873035
-error 1.0786247563419693e+18
- y tested = 5947637003.818383
-y predicted = 4053459111.7482677
-error 3.5879098868071864e+18
- y tested = 997516184.7000968
-y predicted = 559640760.8028785
-error 1.9173488685316864e+17
- y tested = 6532788063.289651
-y predicted = 6699967760.750358
-error 2.7949051243053424e+16
- y tested = 1980229389.772511
-y predicted = 3482380871.6283026
-error 2.2564590744415506e+18
- y tested = 5035525633.343237
-y predicted = 5201592913.266333
-error 2.7578341461055824e+16
- y tested = 5026691733.102776
-y predicted = 5312071245.546859
-error 8.144146612282264e+16
- y tested = 1014996574.3865615
-y predicted = 1254683378.3203437
-error 5.744976397999136e+16
- y tested = 7665772326.561901
-y predicted = 6780632873.630301
-error 7.834718511360515e+17
- y tested = 3029054692.61153
-y predicted = 4749345825.098506
-error 2.959401580513323e+18
- y tested = 4062233415.93208
-y predicted = 4787079685.024451
-error 5.2540211381713056e+17
- y tested = 5822958761.806049
-y predicted = 6313613915.979633
-error 2.4074248031710346e+17
- y tested = 6611133148.221605
-y predicted = 6345035449.857253
-error 7.0807985074805784e+16
- y tested = 5377240292.736961
-y predicted = 3028945976.970954
-error 5.514486193458941e+18
-error squared vector [2.6730136119901266e+18, 1.7872168384675988e+18, 4.252904462830451e+17, 3.3134721163397606e+18, 7.318829446609861e+16, 5.5661033755732774e+17, 1.0786247563419693e+18, 3.5879098868071864e+18, 1.9173488685316864e+17, 2.7949051243053424e+16, 2.2564590744415506e+18, 2.7578341461055824e+16, 8.144146612282264e+16, 5.744976397999136e+16, 7.834718511360515e+17, 2.959401580513323e+18, 5.2540211381713056e+17, 2.4074248031710346e+17, 7.0807985074805784e+16, 5.514486193458941e+18]
-Total loo_error 1.3116125538336056e+18
-iteration 219current difference of loo_error -8303827195648.0
- getting loo error of with lamda = 0.013293899615789459, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1614705483.0119789
-error 2.6072737965998305e+18
- y tested = 5326600510.288329
-y predicted = 3993121575.0312657
-error 1.7781660707743114e+18
- y tested = 5072151352.996373
-y predicted = 4393300328.352294
-error 4.608387136603162e+17
- y tested = 7650055845.407672
-y predicted = 5858114935.51503
-error 3.21105222454687e+18
- y tested = 5789616901.049658
-y predicted = 6067864724.806266
-error 7.74218514252884e+16
- y tested = 8224428196.629629
-y predicted = 7505767441.09624
-error 5.1647328154382163e+17
- y tested = 4059018123.5159216
-y predicted = 5093601799.913084
-error 1.0703633834674685e+18
- y tested = 5947637003.818383
-y predicted = 4060604312.9700375
-error 3.5608923763303485e+18
- y tested = 997516184.7000968
-y predicted = 531995561.77667904
-error 2.1670945036700694e+17
- y tested = 6532788063.289651
-y predicted = 6671291010.320752
-error 1.918306633630003e+16
- y tested = 1980229389.772511
-y predicted = 3503222714.9578466
-error 2.3195086685590856e+18
- y tested = 5035525633.343237
-y predicted = 5189126572.446222
-error 2.3593248493319024e+16
- y tested = 5026691733.102776
-y predicted = 5313806172.582518
-error 8.243470135776646e+16
- y tested = 1014996574.3865615
-y predicted = 1230742900.9856033
-error 4.654647744098042e+16
- y tested = 7665772326.561901
-y predicted = 6799731824.991814
-error 7.500261503597686e+17
- y tested = 3029054692.61153
-y predicted = 4774469258.50385
-error 3.0464720068290765e+18
- y tested = 4062233415.93208
-y predicted = 4823843087.15835
-error 5.800492913053874e+17
- y tested = 5822958761.806049
-y predicted = 6343021023.284873
-error 2.7046475581446835e+17
- y tested = 6611133148.221605
-y predicted = 6345429015.109019
-error 7.059868635311083e+16
- y tested = 5377240292.736961
-y predicted = 3026982563.0367427
-error 5.523711396015626e+18
-error squared vector [2.6072737965998305e+18, 1.7781660707743114e+18, 4.608387136603162e+17, 3.21105222454687e+18, 7.74218514252884e+16, 5.1647328154382163e+17, 1.0703633834674685e+18, 3.5608923763303485e+18, 2.1670945036700694e+17, 1.918306633630003e+16, 2.3195086685590856e+18, 2.3593248493319024e+16, 8.243470135776646e+16, 4.654647744098042e+16, 7.500261503597686e+17, 3.0464720068290765e+18, 5.800492913053874e+17, 2.7046475581446835e+17, 7.059868635311083e+16, 5.523711396015626e+18]
-Total loo_error 1.3115889798790075e+18
-iteration 220current difference of loo_error 23573954598144.0
- getting loo error of with lamda = 0.01440707730966679, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1634327834.3537543
-error 2.6710274698710446e+18
- y tested = 5326600510.288329
-y predicted = 3989834980.268534
-error 1.7869420822491034e+18
- y tested = 5072151352.996373
-y predicted = 4419224862.33202
-error 4.263130022112679e+17
- y tested = 7650055845.407672
-y predicted = 5830609778.9096365
-error 3.3103839888951736e+18
- y tested = 5789616901.049658
-y predicted = 6060359021.220632
-error 7.3301295634674e+16
- y tested = 8224428196.629629
-y predicted = 7479183875.640093
-error 5.55389097967155e+17
- y tested = 4059018123.5159216
-y predicted = 5097468366.316218
-error 1.0783789067719954e+18
- y tested = 5947637003.818383
-y predicted = 4053684120.8539724
-error 3.587057522889203e+18
- y tested = 997516184.7000968
-y predicted = 558815706.2693406
-error 1.924581097753744e+17
- y tested = 6532788063.289651
-y predicted = 6699151196.8243065
-error 2.767669219946964e+16
- y tested = 1980229389.772511
-y predicted = 3482985034.724894
-error 2.2582745284362527e+18
- y tested = 5035525633.343237
-y predicted = 5201236243.35559
-error 2.746000627066613e+16
- y tested = 5026691733.102776
-y predicted = 5312121286.909398
-error 8.147003018624762e+16
- y tested = 1014996574.3865615
-y predicted = 1253970326.050606
-error 5.710845398438841e+16
- y tested = 7665772326.561901
-y predicted = 6781200293.408026
-error 7.824676818379808e+17
- y tested = 3029054692.61153
-y predicted = 4750081162.837644
-error 2.961932111218957e+18
- y tested = 4062233415.93208
-y predicted = 4788151817.968646
-error 5.2695752641532186e+17
- y tested = 5822958761.806049
-y predicted = 6314451299.728008
-error 2.4156491483296822e+17
- y tested = 6611133148.221605
-y predicted = 6345046764.918802
-error 7.080196337916622e+16
- y tested = 5377240292.736961
-y predicted = 3028897088.6861877
-error 5.514715804011453e+18
-error squared vector [2.6710274698710446e+18, 1.7869420822491034e+18, 4.263130022112679e+17, 3.3103839888951736e+18, 7.3301295634674e+16, 5.55389097967155e+17, 1.0783789067719954e+18, 3.587057522889203e+18, 1.924581097753744e+17, 2.767669219946964e+16, 2.2582745284362527e+18, 2.746000627066613e+16, 8.147003018624762e+16, 5.710845398438841e+16, 7.824676818379808e+17, 2.961932111218957e+18, 5.2695752641532186e+17, 2.4156491483296822e+17, 7.080196337916622e+16, 5.514715804011453e+18]
-Total loo_error 1.3115840594518932e+18
-iteration 221current difference of loo_error -4920427114240.0
- getting loo error of with lamda = 0.013327632273179681, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0110-0020'
+--- Neighbour 0 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0110-0020'
+--- Neighbour 0 in the list of neghbours, And at position 32 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 29.957415812958512
+ --- Workload: 0.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 17 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.027102694886654
+ --- Workload: 0.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 16 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 30.299284062105812
+ --- Workload: 0.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.31061849927073 mAh) it is NOT far from the median.
+--- Median :36.31061849927073, the gap is : 10
+--- So No we don't romove this configuration '0110-0020'
+ --- remove_aberrant_points: The value [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '0030-2000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1615305340.9677536
-error 2.6092113442897336e+18
- y tested = 5326600510.288329
-y predicted = 3993022072.182721
-error 1.778431450580193e+18
- y tested = 5072151352.996373
-y predicted = 4394111450.024918
-error 4.5973811002154086e+17
- y tested = 7650055845.407672
-y predicted = 5857271346.862893
-error 3.2140762582224543e+18
- y tested = 5789616901.049658
-y predicted = 6067612191.998267
-error 7.728138178960197e+16
- y tested = 8224428196.629629
-y predicted = 7504950857.243157
-error 5.176476418906362e+17
- y tested = 4059018123.5159216
-y predicted = 5093721223.145496
-error 1.0706105043830497e+18
- y tested = 5947637003.818383
-y predicted = 4060403249.6736927
-error 3.561651242783062e+18
- y tested = 997516184.7000968
-y predicted = 532820562.3925773
-error 2.1594202139177286e+17
- y tested = 6532788063.289651
-y predicted = 6672187486.401439
-error 1.9432199163899236e+16
- y tested = 1980229389.772511
-y predicted = 3502582764.6626863
-error 2.317559798039507e+18
- y tested = 5035525633.343237
-y predicted = 5189514414.851374
-error 2.371254483036068e+16
- y tested = 5026691733.102776
-y predicted = 5313752525.975807
-error 8.240389880489355e+16
- y tested = 1014996574.3865615
-y predicted = 1231458743.1064956
-error 4.685587048693722e+16
- y tested = 7665772326.561901
-y predicted = 6799159443.661716
-error 7.510178888085691e+17
- y tested = 3029054692.61153
-y predicted = 4773704559.476179
-error 3.0438031579508383e+18
- y tested = 4062233415.93208
-y predicted = 4822720228.960397
-error 5.783401927899663e+17
- y tested = 5822958761.806049
-y predicted = 6342101724.3201475
-error 2.6950941552791434e+17
- y tested = 6611133148.221605
-y predicted = 6345416896.639549
-error 7.0605126354818504e+16
- y tested = 5377240292.736961
-y predicted = 3027051245.7503347
-error 5.523388556575908e+18
-error squared vector [2.6092113442897336e+18, 1.778431450580193e+18, 4.5973811002154086e+17, 3.2140762582224543e+18, 7.728138178960197e+16, 5.176476418906362e+17, 1.0706105043830497e+18, 3.561651242783062e+18, 2.1594202139177286e+17, 1.9432199163899236e+16, 2.317559798039507e+18, 2.371254483036068e+16, 8.240389880489355e+16, 4.685587048693722e+16, 7.510178888085691e+17, 3.0438031579508383e+18, 5.783401927899663e+17, 2.6950941552791434e+17, 7.0605126354818504e+16, 5.523388556575908e+18]
-Total loo_error 1.3115609302342828e+18
-iteration 222current difference of loo_error 23129217610496.0
- getting loo error of with lamda = 0.014374366854015665, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1633756265.6368217
-error 2.669159535235281e+18
- y tested = 5326600510.288329
-y predicted = 3989931610.3890147
-error 1.7866837479580434e+18
- y tested = 5072151352.996373
-y predicted = 4418486701.854889
-error 4.2727747615191834e+17
- y tested = 7650055845.407672
-y predicted = 5831408197.035371
-error 3.3074792689301007e+18
- y tested = 5789616901.049658
-y predicted = 6060556666.748591
-error 7.340835663699304e+16
- y tested = 8224428196.629629
-y predicted = 7479954543.293126
-error 5.542410205121997e+17
- y tested = 4059018123.5159216
-y predicted = 5097356929.266111
-error 1.0781474755267304e+18
- y tested = 5947637003.818383
-y predicted = 4053895252.457376
-error 3.586257820847855e+18
- y tested = 997516184.7000968
-y predicted = 558039194.196882
-error 1.9314002518176278e+17
- y tested = 6532788063.289651
-y predicted = 6698380545.416693
-error 2.7420870136994664e+16
- y tested = 1980229389.772511
-y predicted = 3483554646.715664
-error 2.2599868281631967e+18
- y tested = 5035525633.343237
-y predicted = 5200899717.7454195
-error 2.734858779186021e+16
- y tested = 5026691733.102776
-y predicted = 5312168474.284981
-error 8.149696975601178e+16
- y tested = 1014996574.3865615
-y predicted = 1253299143.9524329
-error 5.678811466169696e+16
- y tested = 7665772326.561901
-y predicted = 6781734481.850818
-error 7.815229108814176e+17
- y tested = 3029054692.61153
-y predicted = 4750774021.916096
-error 2.9643174489009644e+18
- y tested = 4062233415.93208
-y predicted = 4789162240.981395
-error 5.284255166875776e+17
- y tested = 5822958761.806049
-y predicted = 6315241597.962542
-error 2.4234239077427978e+17
- y tested = 6611133148.221605
-y predicted = 6345057441.303627
-error 7.079628181190188e+16
- y tested = 5377240292.736961
-y predicted = 3028850552.0260787
-error 5.514934374276127e+18
-error squared vector [2.669159535235281e+18, 1.7866837479580434e+18, 4.2727747615191834e+17, 3.3074792689301007e+18, 7.340835663699304e+16, 5.542410205121997e+17, 1.0781474755267304e+18, 3.586257820847855e+18, 1.9314002518176278e+17, 2.7420870136994664e+16, 2.2599868281631967e+18, 2.734858779186021e+16, 8.149696975601178e+16, 5.678811466169696e+16, 7.815229108814176e+17, 2.9643174489009644e+18, 5.284255166875776e+17, 2.4234239077427978e+17, 7.079628181190188e+16, 5.514934374276127e+18]
-Total loo_error 1.3115587510411456e+18
-iteration 223current difference of loo_error -2179193137152.0
- getting loo error of with lamda = 0.013359351502901984, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1615869092.305182
-error 2.6110329231978614e+18
- y tested = 5326600510.288329
-y predicted = 3992928501.198801
-error 1.7786810278288983e+18
- y tested = 5072151352.996373
-y predicted = 4394872630.462036
-error 4.587064679977435e+17
- y tested = 7650055845.407672
-y predicted = 5856478684.407161
-error 3.2169190324626534e+18
- y tested = 5789616901.049658
-y predicted = 6067376252.374584
-error 7.715025724844387e+16
- y tested = 8224428196.629629
-y predicted = 7504183655.017814
-error 5.1875219972161414e+17
- y tested = 4059018123.5159216
-y predicted = 5093833389.493512
-error 1.0708426347002715e+18
- y tested = 5947637003.818383
-y predicted = 4060213657.5775247
-error 3.56236688793504e+18
- y tested = 997516184.7000968
-y predicted = 533595601.7078608
-error 2.1522230732385616e+17
- y tested = 6532788063.289651
-y predicted = 6673027309.6719475
-error 1.966704622587448e+16
- y tested = 1980229389.772511
-y predicted = 3501982583.343965
-error 2.315732782144919e+18
- y tested = 5035525633.343237
-y predicted = 5189877858.211145
-error 2.3824609321673384e+16
- y tested = 5026691733.102776
-y predicted = 5313702240.979479
-error 8.237503163164315e+16
- y tested = 1014996574.3865615
-y predicted = 1232131158.4417613
-error 4.71474275928246e+16
- y tested = 7665772326.561901
-y predicted = 6798621851.721442
-error 7.519499460160333e+17
- y tested = 3029054692.61153
-y predicted = 4772987036.974448
-error 3.0413000217151447e+18
- y tested = 4062233415.93208
-y predicted = 4821666853.647457
-error 5.767391463201958e+17
- y tested = 5822958761.806049
-y predicted = 6341240520.517583
-error 2.686159814131203e+17
- y tested = 6611133148.221605
-y predicted = 6345405529.392545
-error 7.06111674085625e+16
- y tested = 5377240292.736961
-y predicted = 3027115181.599662
-error 5.523088037998105e+18
-error squared vector [2.6110329231978614e+18, 1.7786810278288983e+18, 4.587064679977435e+17, 3.2169190324626534e+18, 7.715025724844387e+16, 5.1875219972161414e+17, 1.0708426347002715e+18, 3.56236688793504e+18, 2.1522230732385616e+17, 1.966704622587448e+16, 2.315732782144919e+18, 2.3824609321673384e+16, 8.237503163164315e+16, 4.71474275928246e+16, 7.519499460160333e+17, 3.0413000217151447e+18, 5.767391463201958e+17, 2.686159814131203e+17, 7.06111674085625e+16, 5.523088037998105e+18]
-Total loo_error 1.3115362468102239e+18
-iteration 224current difference of loo_error 22504230921728.0
- getting loo error of with lamda = 0.014343608813072827, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1633218537.844354
-error 2.6674027920862464e+18
- y tested = 5326600510.288329
-y predicted = 3990022471.6922464
-error 1.7864408532573514e+18
- y tested = 5072151352.996373
-y predicted = 4417791356.146069
-error 4.281870054779306e+17
- y tested = 7650055845.407672
-y predicted = 5832159501.370749
-error 3.3047471176628086e+18
- y tested = 5789616901.049658
-y predicted = 6060743705.046434
-error 7.350974384550651e+16
- y tested = 8224428196.629629
-y predicted = 7480679779.3007965
-error 5.5316170827914336e+17
- y tested = 4059018123.5159216
-y predicted = 5097252023.742909
-error 1.077929631580543e+18
- y tested = 5947637003.818383
-y predicted = 4054093383.8662
-error 3.585507440661618e+18
- y tested = 997516184.7000968
-y predicted = 557308407.1102742
-error 1.9378288745057075e+17
- y tested = 6532788063.289651
-y predicted = 6697653381.059165
-error 2.7180573003242856e+16
- y tested = 1980229389.772511
-y predicted = 3484091599.130528
-error 2.261601544735176e+18
- y tested = 5035525633.343237
-y predicted = 5200582262.15556
-error 2.724369071488885e+16
- y tested = 5026691733.102776
-y predicted = 5312212963.501273
-error 8.152237300827194e+16
- y tested = 1014996574.3865615
-y predicted = 1252667411.4502866
-error 5.648742679057177e+16
- y tested = 7665772326.561901
-y predicted = 6782237349.518045
-error 7.806340556598866e+17
- y tested = 3029054692.61153
-y predicted = 4751426779.542372
-error 2.966565605838504e+18
- y tested = 4062233415.93208
-y predicted = 4790114381.085104
-error 5.2981069943209805e+17
- y tested = 5822958761.806049
-y predicted = 6315987298.501578
-error 2.4307713799613456e+17
- y tested = 6611133148.221605
-y predicted = 6345067512.769631
-error 7.079092236846268e+16
- y tested = 5377240292.736961
-y predicted = 3028806289.2955456
-error 5.515142268519876e+18
-error squared vector [2.6674027920862464e+18, 1.7864408532573514e+18, 4.281870054779306e+17, 3.3047471176628086e+18, 7.350974384550651e+16, 5.5316170827914336e+17, 1.077929631580543e+18, 3.585507440661618e+18, 1.9378288745057075e+17, 2.7180573003242856e+16, 2.261601544735176e+18, 2.724369071488885e+16, 8.152237300827194e+16, 5.648742679057177e+16, 7.806340556598866e+17, 2.966565605838504e+18, 5.2981069943209805e+17, 2.4307713799613456e+17, 7.079092236846268e+16, 5.515142268519876e+18]
-Total loo_error 1.3115362739184417e+18
-iteration 225current difference of loo_error 27108217856.0
- getting loo error of with lamda = 0.01431378283397674, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1632696850.2812033
-error 2.665699004646046e+18
- y tested = 5326600510.288329
-y predicted = 3990110578.385725
-error 1.7862053380770273e+18
- y tested = 5072151352.996373
-y predicted = 4417115924.949861
-error 4.29071411996078e+17
- y tested = 7650055845.407672
-y predicted = 5832888540.678031
-error 3.302097013378388e+18
- y tested = 5789616901.049658
-y predicted = 6060926182.694512
-error 7.3608726306647e+16
- y tested = 8224428196.629629
-y predicted = 7481383564.918919
-error 5.521153247141055e+17
- y tested = 4059018123.5159216
-y predicted = 5097150186.129547
-error 1.0777181794264205e+18
- y tested = 5947637003.818383
-y predicted = 4054285140.2147856
-error 3.5847812794112164e+18
- y tested = 997516184.7000968
-y predicted = 556599186.7965488
-error 1.9440779904027734e+17
- y tested = 6532788063.289651
-y predicted = 6696945916.385427
-error 2.6947800733014556e+16
- y tested = 1980229389.772511
-y predicted = 3484613523.598526
-error 2.2631716221074493e+18
- y tested = 5035525633.343237
-y predicted = 5200273481.633897
-error 2.7141853516402292e+16
- y tested = 5026691733.102776
-y predicted = 5312256214.87611
-error 8.154707325047309e+16
- y tested = 1014996574.3865615
-y predicted = 1252054254.8560078
-error 5.6196343869554104e+16
- y tested = 7665772326.561901
-y predicted = 6782725501.288668
-error 7.797716956251364e+17
- y tested = 3029054692.61153
-y predicted = 4752060921.830794
-error 2.9687504659283886e+18
- y tested = 4062233415.93208
-y predicted = 4791039551.894695
-error 5.311583838167584e+17
- y tested = 5822958761.806049
-y predicted = 6316712795.4291935
-error 2.4379304571912496e+17
- y tested = 6611133148.221605
-y predicted = 6345077308.862934
-error 7.078570965684705e+16
- y tested = 5377240292.736961
-y predicted = 3028762898.993078
-error 5.515346068926062e+18
-error squared vector [2.665699004646046e+18, 1.7862053380770273e+18, 4.29071411996078e+17, 3.302097013378388e+18, 7.3608726306647e+16, 5.521153247141055e+17, 1.0777181794264205e+18, 3.5847812794112164e+18, 1.9440779904027734e+17, 2.6947800733014556e+16, 2.2631716221074493e+18, 2.7141853516402292e+16, 8.154707325047309e+16, 5.6196343869554104e+16, 7.797716956251364e+17, 2.9687504659283886e+18, 5.311583838167584e+17, 2.4379304571912496e+17, 7.078570965684705e+16, 5.515346068926062e+18]
-Total loo_error 1.3115157070072707e+18
-iteration 226current difference of loo_error -20539802953216.0
- getting loo error of with lamda = 0.013388273664449704, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1616382875.6674142
-error 2.6126936004814623e+18
- y tested = 5326600510.288329
-y predicted = 3992843175.5447464
-error 1.7789086279823053e+18
- y tested = 5072151352.996373
-y predicted = 4395565403.997635
-error 4.5776854638252326e+17
- y tested = 7650055845.407672
-y predicted = 5855756405.910212
-error 3.2195104785809004e+18
- y tested = 5789616901.049658
-y predicted = 6067162395.331588
-error 7.703150139620082e+16
- y tested = 8224428196.629629
-y predicted = 7503484647.220274
-error 5.1975960143495936e+17
- y tested = 4059018123.5159216
-y predicted = 5093935555.988722
-error 1.071054092036093e+18
- y tested = 5947637003.818383
-y predicted = 4060040339.493898
-error 3.5630211671689236e+18
- y tested = 997516184.7000968
-y predicted = 534301690.6772571
-error 2.1456766747283542e+17
- y tested = 6532788063.289651
-y predicted = 6673790432.75338
-error 1.9881668194385908e+16
- y tested = 1980229389.772511
-y predicted = 3501436651.2035346
-error 2.314071532230475e+18
- y tested = 5035525633.343237
-y predicted = 5190208201.427828
-error 2.3926696869244104e+16
- y tested = 5026691733.102776
-y predicted = 5313656524.054523
-error 8.234879124598037e+16
- y tested = 1014996574.3865615
-y predicted = 1232743688.9182785
-error 4.741380588688866e+16
- y tested = 7665772326.561901
-y predicted = 6798132193.337161
-error 7.527994007822446e+17
- y tested = 3029054692.61153
-y predicted = 4772334076.876879
-error 3.039023011604574e+18
- y tested = 4062233415.93208
-y predicted = 4820708438.513622
-error 5.752843598800714e+17
- y tested = 5822958761.806049
-y predicted = 6340457969.594461
-error 2.678054300616341e+17
- y tested = 6611133148.221605
-y predicted = 6345395188.339033
-error 7.061666332255154e+16
- y tested = 5377240292.736961
-y predicted = 3027172935.7146845
-error 5.522816582541669e+18
-error squared vector [2.6126936004814623e+18, 1.7789086279823053e+18, 4.5776854638252326e+17, 3.2195104785809004e+18, 7.703150139620082e+16, 5.1975960143495936e+17, 1.071054092036093e+18, 3.5630211671689236e+18, 2.1456766747283542e+17, 1.9881668194385908e+16, 2.314071532230475e+18, 2.3926696869244104e+16, 8.234879124598037e+16, 4.741380588688866e+16, 7.527994007822446e+17, 3.039023011604574e+18, 5.752843598800714e+17, 2.678054300616341e+17, 7.061666332255154e+16, 5.522816582541669e+18]
-Total loo_error 1.311515161277796e+18
-iteration 227current difference of loo_error 545729474560.0
- getting loo error of with lamda = 0.014285737101566831, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1632206072.2466726
-error 2.664096662006876e+18
- y tested = 5326600510.288329
-y predicted = 3990193424.950501
-error 1.7859838977411492e+18
- y tested = 5072151352.996373
-y predicted = 4416479765.84396
-error 4.299052301989648e+17
- y tested = 7650055845.407672
-y predicted = 5833574515.987012
-error 3.2996044201338486e+18
- y tested = 5789616901.049658
-y predicted = 6061098768.182337
-error 7.370240418184557e+16
- y tested = 8224428196.629629
-y predicted = 7482045816.76483
-error 5.5113159793372346e+17
- y tested = 4059018123.5159216
-y predicted = 5097054327.185544
-error 1.0775191601288419e+18
- y tested = 5947637003.818383
-y predicted = 4054465115.6165013
-error 3.584099798277879e+18
- y tested = 997516184.7000968
-y predicted = 555931777.6914033
-error 1.9499678851321955e+17
- y tested = 6532788063.289651
-y predicted = 6696278571.434712
-error 2.672914625353042e+16
- y tested = 1980229389.772511
-y predicted = 3485105415.4539304
-error 2.2646518526707039e+18
- y tested = 5035525633.343237
-y predicted = 5199982279.5192585
-error 2.704598847146515e+16
- y tested = 5026691733.102776
-y predicted = 5312296984.420508
-error 8.157035958026531e+16
- y tested = 1014996574.3865615
-y predicted = 1251477185.4380305
-error 5.592307940327614e+16
- y tested = 7665772326.561901
-y predicted = 6783184986.285139
-error 7.789604132168088e+17
- y tested = 3029054692.61153
-y predicted = 4752658264.174783
-error 2.9708092719056015e+18
- y tested = 4062233415.93208
-y predicted = 4791911199.20361
-error 5.3242966740005485e+17
- y tested = 5822958761.806049
-y predicted = 6317397148.529754
-error 2.444693182659394e+17
- y tested = 6611133148.221605
-y predicted = 6345086546.94562
-error 7.078079405050333e+16
- y tested = 5377240292.736961
-y predicted = 3028721675.1939826
-error 5.515539696945985e+18
-error squared vector [2.664096662006876e+18, 1.7859838977411492e+18, 4.299052301989648e+17, 3.2996044201338486e+18, 7.370240418184557e+16, 5.5113159793372346e+17, 1.0775191601288419e+18, 3.584099798277879e+18, 1.9499678851321955e+17, 2.672914625353042e+16, 2.2646518526707039e+18, 2.704598847146515e+16, 8.157035958026531e+16, 5.592307940327614e+16, 7.789604132168088e+17, 2.9708092719056015e+18, 5.3242966740005485e+17, 2.444693182659394e+17, 7.078079405050333e+16, 5.515539696945985e+18]
-Total loo_error 1.311497477364024e+18
-iteration 228current difference of loo_error -17683913772032.0
- getting loo error of with lamda = 0.013415469526180527, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1616865770.6019022
-error 2.6142549198746056e+18
- y tested = 5326600510.288329
-y predicted = 3992762937.7380166
-error 1.7791226699469102e+18
- y tested = 5072151352.996373
-y predicted = 4396215714.377012
-error 4.5688898755576326e+17
- y tested = 7650055845.407672
-y predicted = 5855077661.076751
-error 3.2219466822239304e+18
- y tested = 5789616901.049658
-y predicted = 6066962408.283868
-error 7.692053038300123e+16
- y tested = 8224428196.629629
-y predicted = 7502827831.505115
-error 5.2070708694783277e+17
- y tested = 4059018123.5159216
-y predicted = 5094031529.7297
-error 1.0712527510422481e+18
- y tested = 5947637003.818383
-y predicted = 4059876981.8891964
-error 3.563637900394084e+18
- y tested = 997516184.7000968
-y predicted = 534965108.876456
-error 2.1395349774560752e+17
- y tested = 6532788063.289651
-y predicted = 6674505717.754776
-error 2.0083893587096588e+16
- y tested = 1980229389.772511
-y predicted = 3500924453.4462676
-error 2.3125134766817306e+18
- y tested = 5035525633.343237
-y predicted = 5190517916.477369
-error 2.402260783113106e+16
- y tested = 5026691733.102776
-y predicted = 5313613651.556119
-error 8.232418728894704e+16
- y tested = 1014996574.3865615
-y predicted = 1233319146.5642931
-error 4.766474552230084e+16
- y tested = 7665772326.561901
-y predicted = 6797672220.159221
-error 7.535977947363451e+17
- y tested = 3029054692.61153
-y predicted = 4771721208.335288
-error 3.036886585024784e+18
- y tested = 4062233415.93208
-y predicted = 4819809024.602864
-error 5.739208028529096e+17
- y tested = 5822958761.806049
-y predicted = 6339724474.634439
-error 2.6704680195503418e+17
- y tested = 6611133148.221605
-y predicted = 6345385485.423316
-error 7.062182028275327e+16
- y tested = 5377240292.736961
-y predicted = 3027226771.9975605
-error 5.522563547657994e+18
-error squared vector [2.6142549198746056e+18, 1.7791226699469102e+18, 4.5688898755576326e+17, 3.2219466822239304e+18, 7.692053038300123e+16, 5.2070708694783277e+17, 1.0712527510422481e+18, 3.563637900394084e+18, 2.1395349774560752e+17, 2.0083893587096588e+16, 2.3125134766817306e+18, 2.402260783113106e+16, 8.232418728894704e+16, 4.766474552230084e+16, 7.535977947363451e+17, 3.036886585024784e+18, 5.739208028529096e+17, 2.6704680195503418e+17, 7.062182028275327e+16, 5.522563547657994e+18]
-Total loo_error 1.3114965644767503e+18
-iteration 229current difference of loo_error 912887273728.0
- getting loo error of with lamda = 0.014259365356858155, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1631744385.150065
-error 2.662589738196806e+18
- y tested = 5326600510.288329
-y predicted = 3990271325.390168
-error 1.7857756904105833e+18
- y tested = 5072151352.996373
-y predicted = 4415880652.117895
-error 4.306912328315288e+17
- y tested = 7650055845.407672
-y predicted = 5834219945.525862
-error 3.2972600152995835e+18
- y tested = 5789616901.049658
-y predicted = 6061261940.458359
-error 7.379102743535469e+16
- y tested = 8224428196.629629
-y predicted = 7482668959.687225
-error 5.5020676558937715e+17
- y tested = 4059018123.5159216
-y predicted = 5096964101.574195
-error 1.0773318533673455e+18
- y tested = 5947637003.818383
-y predicted = 4054634050.2997622
-error 3.5834601820302223e+18
- y tested = 997516184.7000968
-y predicted = 555303743.4934143
-error 1.955518431579737e+17
- y tested = 6532788063.289651
-y predicted = 6695649187.645775
-error 2.652374582654086e+16
- y tested = 1980229389.772511
-y predicted = 3485568940.2045045
-error 2.2660471620947963e+18
- y tested = 5035525633.343237
-y predicted = 5199707702.409126
-error 2.6955751802756464e+16
- y tested = 5026691733.102776
-y predicted = 5312335409.276236
-error 8.159230973788848e+16
- y tested = 1014996574.3865615
-y predicted = 1250934107.5066652
-error 5.566651953480004e+16
- y tested = 7665772326.561901
-y predicted = 6783617461.636939
-error 7.78197205710778e+17
- y tested = 3029054692.61153
-y predicted = 4753220884.795118
-error 2.9727490582688553e+18
- y tested = 4062233415.93208
-y predicted = 4792732326.28188
-error 5.33628658022246e+17
- y tested = 5822958761.806049
-y predicted = 6318042571.702876
-error 2.4510797882195728e+17
- y tested = 6611133148.221605
-y predicted = 6345095257.153757
-error 7.077615948382827e+16
- y tested = 5377240292.736961
-y predicted = 3028682535.7350993
-error 5.515723537973618e+18
-error squared vector [2.662589738196806e+18, 1.7857756904105833e+18, 4.306912328315288e+17, 3.2972600152995835e+18, 7.379102743535469e+16, 5.5020676558937715e+17, 1.0773318533673455e+18, 3.5834601820302223e+18, 1.955518431579737e+17, 2.652374582654086e+16, 2.2660471620947963e+18, 2.6955751802756464e+16, 8.159230973788848e+16, 5.566651953480004e+16, 7.78197205710778e+17, 2.9727490582688553e+18, 5.33628658022246e+17, 2.4510797882195728e+17, 7.077615948382827e+16, 5.515723537973618e+18]
-Total loo_error 1.3114813217798418e+18
-iteration 230current difference of loo_error -15242696908544.0
- getting loo error of with lamda = 0.013441042127110153, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0030-2000'
+--- Neighbour 0 in the list of neghbours, And at position 67 in the X datas point
+--------------
+ --- Configuration: 0030-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 1 in the X datas point
+--------------
+ --- Configuration: 0033-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6957102505.948323
+ --- Energy: 53.35616382684589
+ --- Workload: 371205000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0030-2000'
+--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 67 in the X datas point
+--------------
+ --- Configuration: 0030-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4809102669.532892
+ --- Energy: 35.93660318178646
+ --- Workload: 172823000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 29 in the X datas point
+--------------
+ --- Configuration: 3000-3000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4149980287.5936337
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 41 in the X datas point
+--------------
+ --- Configuration: 3300-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5026691733.102776
+ --- Energy: 36.9852979298838
+ --- Workload: 185914000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 28 in the X datas point
+--------------
+ --- Configuration: 3330-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5822958761.806049
+ --- Energy: 37.40635012737015
+ --- Workload: 217816000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 1 in the X datas point
+--------------
+ --- Configuration: 0033-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6957102505.948323
+ --- Energy: 53.35616382684589
+ --- Workload: 371205000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.46450751429702 mAh) it is NOT far from the median.
+--- Median :36.46450751429702, the gap is : 10
+--- So No we don't romove this configuration '0030-2000'
+ --- remove_aberrant_points: The value [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1]
+--- Computing the list of the 10 first neighbours of '2002-1001'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1617319646.6516654
-error 2.615722839175915e+18
- y tested = 5326600510.288329
-y predicted = 3992687484.787735
-error 1.7793239596001487e+18
- y tested = 5072151352.996373
-y predicted = 4396826228.815917
-error 4.5606402334934854e+17
- y tested = 7650055845.407672
-y predicted = 5854439802.666125
-error 3.2242369729508116e+18
- y tested = 5789616901.049658
-y predicted = 6066775330.604915
-error 7.681679507353627e+16
- y tested = 8224428196.629629
-y predicted = 7502210634.412925
-error 5.215982071742392e+17
- y tested = 4059018123.5159216
-y predicted = 5094121691.314833
-error 1.071439396070035e+18
- y tested = 5947637003.818383
-y predicted = 4059723036.734633
-error 3.5642191471099034e+18
- y tested = 997516184.7000968
-y predicted = 535588465.13936204
-error 2.1337721809858086e+17
- y tested = 6532788063.289651
-y predicted = 6675176293.900305
-error 2.0274408216432748e+16
- y tested = 1980229389.772511
-y predicted = 3500443840.9013586
-error 2.3110519774209833e+18
- y tested = 5035525633.343237
-y predicted = 5190808343.182992
-error 2.4112719975177564e+16
- y tested = 5026691733.102776
-y predicted = 5313573439.676228
-error 8.230111356649621e+16
- y tested = 1014996574.3865615
-y predicted = 1233859804.3544574
-error 4.790111343198007e+16
- y tested = 7665772326.561901
-y predicted = 6797240106.822741
-error 7.543482167250335e+17
- y tested = 3029054692.61153
-y predicted = 4771145905.231944
-error 3.034881793089265e+18
- y tested = 4062233415.93208
-y predicted = 4818964876.693686
-error 5.7264250370639366e+17
- y tested = 5822958761.806049
-y predicted = 6339036826.729404
-error 2.6633656909503472e+17
- y tested = 6611133148.221605
-y predicted = 6345376380.2874975
-error 7.062665970278322e+16
- y tested = 5377240292.736961
-y predicted = 3027276980.864863
-error 5.522327567144881e+18
-error squared vector [2.615722839175915e+18, 1.7793239596001487e+18, 4.5606402334934854e+17, 3.2242369729508116e+18, 7.681679507353627e+16, 5.215982071742392e+17, 1.071439396070035e+18, 3.5642191471099034e+18, 2.1337721809858086e+17, 2.0274408216432748e+16, 2.3110519774209833e+18, 2.4112719975177564e+16, 8.230111356649621e+16, 4.790111343198007e+16, 7.543482167250335e+17, 3.034881793089265e+18, 5.7264250370639366e+17, 2.6633656909503472e+17, 7.062665970278322e+16, 5.522327567144881e+18]
-Total loo_error 1.311480160033849e+18
-iteration 231current difference of loo_error 1161745992704.0
- getting loo error of with lamda = 0.014234567683229428, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1631310075.9269514
-error 2.661172563548911e+18
- y tested = 5326600510.288329
-y predicted = 3990344574.979185
-error 1.7855799246489152e+18
- y tested = 5072151352.996373
-y predicted = 4415316476.939866
-error 4.3143205440416704e+17
- y tested = 7650055845.407672
-y predicted = 5834827203.247727
-error 3.295055023317836e+18
- y tested = 5789616901.049658
-y predicted = 6061416162.097252
-error 7.387483830601819e+16
- y tested = 8224428196.629629
-y predicted = 7483255279.972985
-error 5.4933729238531635e+17
- y tested = 4059018123.5159216
-y predicted = 5096879183.244673
-error 1.0771555793012864e+18
- y tested = 5947637003.818383
-y predicted = 4054792636.3144035
-error 3.5828597995915407e+18
- y tested = 997516184.7000968
-y predicted = 554712786.6100512
-error 1.960748493600915e+17
- y tested = 6532788063.289651
-y predicted = 6695055709.257758
-error 2.6330788928030984e+16
- y tested = 1980229389.772511
-y predicted = 3486005678.2270484
-error 2.2673622308719222e+18
- y tested = 5035525633.343237
-y predicted = 5199448843.1804495
-error 2.687081872333482e+16
- y tested = 5026691733.102776
-y predicted = 5312371619.58094
-error 8.161299753817706e+16
- y tested = 1014996574.3865615
-y predicted = 1250423043.8577094
-error 5.542562252764933e+16
- y tested = 7665772326.561901
-y predicted = 6784024491.723892
-error 7.774792442415165e+17
- y tested = 3029054692.61153
-y predicted = 4753750751.01104
-error 2.974576493858806e+18
- y tested = 4062233415.93208
-y predicted = 4793505778.455197
-error 5.347592681901418e+17
- y tested = 5822958761.806049
-y predicted = 6318651173.372416
-error 2.4571096688447978e+17
- y tested = 6611133148.221605
-y predicted = 6345103468.203066
-error 7.077179065076648e+16
- y tested = 5377240292.736961
-y predicted = 3028645398.205571
-error 5.515897978618912e+18
-error squared vector [2.661172563548911e+18, 1.7855799246489152e+18, 4.3143205440416704e+17, 3.295055023317836e+18, 7.387483830601819e+16, 5.4933729238531635e+17, 1.0771555793012864e+18, 3.5828597995915407e+18, 1.960748493600915e+17, 2.6330788928030984e+16, 2.2673622308719222e+18, 2.687081872333482e+16, 8.161299753817706e+16, 5.542562252764933e+16, 7.774792442415165e+17, 2.974576493858806e+18, 5.347592681901418e+17, 2.4571096688447978e+17, 7.077179065076648e+16, 5.515897978618912e+18]
-Total loo_error 1.311467006294891e+18
-iteration 232current difference of loo_error -13153738958080.0
- getting loo error of with lamda = 0.013465088356083463, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1617746258.7404454
-error 2.617102957399084e+18
- y tested = 5326600510.288329
-y predicted = 3992616531.6897364
-error 1.7795132551577308e+18
- y tested = 5072151352.996373
-y predicted = 4397399439.308309
-error 4.5529014502570534e+17
- y tested = 7650055845.407672
-y predicted = 5853840347.075423
-error 3.2263901164489687e+18
- y tested = 5789616901.049658
-y predicted = 6066600275.203516
-error 7.67197895576562e+16
- y tested = 8224428196.629629
-y predicted = 7501630642.590331
-error 5.22436304125192e+17
- y tested = 4059018123.5159216
-y predicted = 5094206397.355971
-error 1.0716147622959418e+18
- y tested = 5947637003.818383
-y predicted = 4059577982.9892526
-error 3.5647668661342556e+18
- y tested = 997516184.7000968
-y predicted = 536174205.2414206
-error 2.1283642201084963e+17
- y tested = 6532788063.289651
-y predicted = 6675805070.396908
-error 2.045386432191717e+16
- y tested = 1980229389.772511
-y predicted = 3499992808.826068
-error 2.309680849893357e+18
- y tested = 5035525633.343237
-y predicted = 5191080728.286387
-error 2.4197387562772572e+16
- y tested = 5026691733.102776
-y predicted = 5313535717.312683
-error 8.227947127741368e+16
- y tested = 1014996574.3865615
-y predicted = 1234367792.4799047
-error 4.812373132775712e+16
- y tested = 7665772326.561901
-y predicted = 6796834143.181428
-error 7.550535665365568e+17
- y tested = 3029054692.61153
-y predicted = 4770605808.284368
-error 3.033000288501306e+18
- y tested = 4062233415.93208
-y predicted = 4818172508.21702
-error 5.714439112445794e+17
- y tested = 5822958761.806049
-y predicted = 6338392042.596075
-error 2.6567146694596947e+17
- y tested = 6611133148.221605
-y predicted = 6345367835.217166
-error 7.0631201596347624e+16
- y tested = 5377240292.736961
-y predicted = 3027323828.4894786
-error 5.522107388941391e+18
-error squared vector [2.617102957399084e+18, 1.7795132551577308e+18, 4.5529014502570534e+17, 3.2263901164489687e+18, 7.67197895576562e+16, 5.22436304125192e+17, 1.0716147622959418e+18, 3.5647668661342556e+18, 2.1283642201084963e+17, 2.045386432191717e+16, 2.309680849893357e+18, 2.4197387562772572e+16, 8.227947127741368e+16, 4.812373132775712e+16, 7.550535665365568e+17, 3.033000288501306e+18, 5.714439112445794e+17, 2.6567146694596947e+17, 7.0631201596347624e+16, 5.522107388941391e+18]
-Total loo_error 1.3114656873152374e+18
-iteration 233current difference of loo_error 1318979653632.0
- getting loo error of with lamda = 0.014211250127861369, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1630901531.0864754
-error 2.659839803828393e+18
- y tested = 5326600510.288329
-y predicted = 3990413451.376139
-error 1.7853958564044083e+18
- y tested = 5072151352.996373
-y predicted = 4414785247.617877
-error 4.3213019650049216e+17
- y tested = 7650055845.407672
-y predicted = 5835398526.745499
-error 3.292981184174188e+18
- y tested = 5789616901.049658
-y predicted = 6061561878.976716
-error 7.395407101974818e+16
- y tested = 8224428196.629629
-y predicted = 7483806932.920818
-error 5.485198562576359e+17
- y tested = 4059018123.5159216
-y predicted = 5096799264.433518
-error 1.076989696444229e+18
- y tested = 5947637003.818383
-y predicted = 4054941520.822539
-error 3.5822961913528724e+18
- y tested = 997516184.7000968
-y predicted = 554156740.6285365
-error 1.9656759664744307e+17
- y tested = 6532788063.289651
-y predicted = 6694496179.978139
-error 2.6149515002937652e+16
- y tested = 1980229389.772511
-y predicted = 3486417128.2668114
-error 2.2686015035905748e+18
- y tested = 5035525633.343237
-y predicted = 5199204839.382695
-error 2.6790882489707436e+16
- y tested = 5026691733.102776
-y predicted = 5312405738.7646475
-error 8.163249303135218e+16
- y tested = 1014996574.3865615
-y predicted = 1249942129.44058
-error 5.519941383964078e+16
- y tested = 7665772326.561901
-y predicted = 6784407553.013303
-error 7.76803864052372e+17
- y tested = 3029054692.61153
-y predicted = 4754249724.428349
-error 2.9762978978054344e+18
- y tested = 4062233415.93208
-y predicted = 4794234250.2019005
-error 5.358252213717135e+17
- y tested = 5822958761.806049
-y predicted = 6319224959.912659
-error 2.4628013938318845e+17
- y tested = 6611133148.221605
-y predicted = 6345111207.428804
-error 7.076767298316847e+16
- y tested = 5377240292.736961
-y predicted = 3028610180.5073204
-error 5.516063404071816e+18
-error squared vector [2.659839803828393e+18, 1.7853958564044083e+18, 4.3213019650049216e+17, 3.292981184174188e+18, 7.395407101974818e+16, 5.485198562576359e+17, 1.076989696444229e+18, 3.5822961913528724e+18, 1.9656759664744307e+17, 2.6149515002937652e+16, 2.2686015035905748e+18, 2.6790882489707436e+16, 8.163249303135218e+16, 5.519941383964078e+16, 7.76803864052372e+17, 2.9762978978054344e+18, 5.358252213717135e+17, 2.4628013938318845e+17, 7.076767298316847e+16, 5.516063404071816e+18]
-Total loo_error 1.3114543230125655e+18
-iteration 234current difference of loo_error -11364302671872.0
- getting loo error of with lamda = 0.013487699318864612, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1618147254.3711529
-error 2.6184005365592095e+18
- y tested = 5326600510.288329
-y predicted = 3992549810.367396
-error 1.7796912699595318e+18
- y tested = 5072151352.996373
-y predicted = 4397937675.054644
-error 4.5456408352371424e+17
- y tested = 7650055845.407672
-y predicted = 5853276963.925154
-error 3.228414348941569e+18
- y tested = 5789616901.049658
-y predicted = 6066436422.116193
-error 7.662904724350581e+16
- y tested = 8224428196.629629
-y predicted = 7501085592.460142
-error 5.232245230066952e+17
- y tested = 4059018123.5159216
-y predicted = 5094285982.056463
-error 1.071779538927119e+18
- y tested = 5947637003.818383
-y predicted = 4059441325.709829
-error 3.5652829188278236e+18
- y tested = 997516184.7000968
-y predicted = 536724622.5128043
-error 2.1232886378300547e+17
- y tested = 6532788063.289651
-y predicted = 6676394753.681412
-error 2.0622881525275052e+16
- y tested = 1980229389.772511
-y predicted = 3499569486.3395343
-error 2.3083943290362916e+18
- y tested = 5035525633.343237
-y predicted = 5191336232.614949
-error 2.4276942845410116e+16
- y tested = 5026691733.102776
-y predicted = 5313500325.091022
-error 8.225916843828014e+16
- y tested = 1014996574.3865615
-y predicted = 1234845107.7190728
-error 4.833337760845634e+16
- y tested = 7665772326.561901
-y predicted = 6796452726.692744
-error 7.55716566716671e+17
- y tested = 3029054692.61153
-y predicted = 4770098713.11668
-error 3.0312342813367383e+18
- y tested = 4062233415.93208
-y predicted = 4817428663.268936
-error 5.703198616001757e+17
- y tested = 5822958761.806049
-y predicted = 6337787346.886966
-error 2.6504847201641837e+17
- y tested = 6611133148.221605
-y predicted = 6345359814.961737
-error 7.063546467206119e+16
- y tested = 5377240292.736961
-y predicted = 3027367559.110234
-error 5.521901864242349e+18
-error squared vector [2.6184005365592095e+18, 1.7796912699595318e+18, 4.5456408352371424e+17, 3.228414348941569e+18, 7.662904724350581e+16, 5.232245230066952e+17, 1.071779538927119e+18, 3.5652829188278236e+18, 2.1232886378300547e+17, 2.0622881525275052e+16, 2.3083943290362916e+18, 2.4276942845410116e+16, 8.225916843828014e+16, 4.833337760845634e+16, 7.55716566716671e+17, 3.0312342813367383e+18, 5.703198616001757e+17, 2.6504847201641837e+17, 7.063546467206119e+16, 5.521901864242349e+18]
-Total loo_error 1.3114529170405146e+18
-iteration 235current difference of loo_error 1405972050944.0
- getting loo error of with lamda = 0.014189324345770558, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1630517231.0736444
-error 2.6585864405563116e+18
- y tested = 5326600510.288329
-y predicted = 3990478215.6721945
-error 1.7852227861702848e+18
- y tested = 5072151352.996373
-y predicted = 4414285080.056612
-error 4.3278803307165235e+17
- y tested = 7650055845.407672
-y predicted = 5835936024.7745905
-error 3.2910307236138035e+18
- y tested = 5789616901.049658
-y predicted = 6061699520.105332
-error 7.402895159219531e+16
- y tested = 8224428196.629629
-y predicted = 7484325950.039772
-error 5.4775133540735366e+17
- y tested = 4059018123.5159216
-y predicted = 5096724054.707806
-error 1.0768335996308152e+18
- y tested = 5947637003.818383
-y predicted = 4055081309.152405
-error 3.5817670574126244e+18
- y tested = 997516184.7000968
-y predicted = 553633563.1545427
-error 1.9703178171015366e+17
- y tested = 6532788063.289651
-y predicted = 6693968739.557965
-error 2.5979210402311156e+16
- y tested = 1980229389.772511
-y predicted = 3486804710.9002423
-error 2.2697691982311268e+18
- y tested = 5035525633.343237
-y predicted = 5198974871.603276
-error 2.6715653487787104e+16
- y tested = 5026691733.102776
-y predicted = 5312437883.839859
-error 8.165086266106002e+16
- y tested = 1014996574.3865615
-y predicted = 1249489605.321191
-error 5.498698155690914e+16
- y tested = 7665772326.561901
-y predicted = 6784768038.6867285
-error 7.761685552544401e+17
- y tested = 3029054692.61153
-y predicted = 4754719565.968406
-error 2.977919255137803e+18
- y tested = 4062233415.93208
-y predicted = 4794920292.076659
-error 5.368300584745023e+17
- y tested = 5822958761.806049
-y predicted = 6319765839.166461
-error 2.4681727211539405e+17
- y tested = 6611133148.221605
-y predicted = 6345118500.827499
-error 7.07637926282105e+16
- y tested = 5377240292.736961
-y predicted = 3028576801.3281374
-error 5.516220195876687e+18
-error squared vector [2.6585864405563116e+18, 1.7852227861702848e+18, 4.3278803307165235e+17, 3.2910307236138035e+18, 7.402895159219531e+16, 5.4775133540735366e+17, 1.0768335996308152e+18, 3.5817670574126244e+18, 1.9703178171015366e+17, 2.5979210402311156e+16, 2.2697691982311268e+18, 2.6715653487787104e+16, 8.165086266106002e+16, 5.498698155690914e+16, 7.761685552544401e+17, 2.977919255137803e+18, 5.368300584745023e+17, 2.4681727211539405e+17, 7.07637926282105e+16, 5.516220195876687e+18]
-Total loo_error 1.3114430872495713e+18
-iteration 236current difference of loo_error -9829790943232.0
- getting loo error of with lamda = 0.013508960683316308, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1618524180.3517838
-error 2.6196205221136594e+18
- y tested = 5326600510.288329
-y predicted = 3992487068.673267
-error 1.779858675097986e+18
- y tested = 5072151352.996373
-y predicted = 4398443113.900515
-error 4.5388279142564256e+17
- y tested = 7650055845.407672
-y predicted = 5852747466.340428
-error 3.2303174094653225e+18
- y tested = 5789616901.049658
-y predicted = 6066283012.738489
-error 7.65441373570169e+16
- y tested = 8224428196.629629
-y predicted = 7500573360.599629
-error 5.239658236440178e+17
- y tested = 4059018123.5159216
-y predicted = 5094360758.678783
-error 1.0719343721859788e+18
- y tested = 5947637003.818383
-y predicted = 4059312595.1218944
-error 3.565769072478944e+18
- y tested = 997516184.7000968
-y predicted = 537241867.7105104
-error 2.1185244688023034e+17
- y tested = 6532788063.289651
-y predicted = 6676947863.116662
-error 2.078204788616391e+16
- y tested = 1980229389.772511
-y predicted = 3499172126.725471
-error 2.307187038142149e+18
- y tested = 5035525633.343237
-y predicted = 5191575937.619529
-error 2.4351697464723268e+16
- y tested = 5026691733.102776
-y predicted = 5313467114.472627
-error 8.224011935982355e+16
- y tested = 1014996574.3865615
-y predicted = 1235293622.1471782
-error 4.8530789252043416e+16
- y tested = 7665772326.561901
-y predicted = 6796094355.346699
-error 7.563397736169903e+17
- y tested = 3029054692.61153
-y predicted = 4769622559.290669
-error 3.029576498515971e+18
- y tested = 4062233415.93208
-y predicted = 4816730300.090501
-error 5.692655482047658e+17
- y tested = 5822958761.806049
-y predicted = 6337220156.094993
-error 2.64464781656008e+17
- y tested = 6611133148.221605
-y predicted = 6345352286.567312
-error 7.063946642169846e+16
- y tested = 5377240292.736961
-y predicted = 3027408397.09279
-error 5.521709937786679e+18
-error squared vector [2.6196205221136594e+18, 1.779858675097986e+18, 4.5388279142564256e+17, 3.2303174094653225e+18, 7.65441373570169e+16, 5.239658236440178e+17, 1.0719343721859788e+18, 3.565769072478944e+18, 2.1185244688023034e+17, 2.078204788616391e+16, 2.307187038142149e+18, 2.4351697464723268e+16, 8.224011935982355e+16, 4.8530789252043416e+16, 7.563397736169903e+17, 3.029576498515971e+18, 5.692655482047658e+17, 2.64464781656008e+17, 7.063946642169846e+16, 5.521709937786679e+18]
-Total loo_error 1.3114416474477906e+18
-iteration 237current difference of loo_error 1439801780736.0
- getting loo error of with lamda = 0.014168707265090126, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1630155744.933625
-error 2.6574077524684093e+18
- y tested = 5326600510.288329
-y predicted = 3990539113.3770714
-error 1.7850600563164613e+18
- y tested = 5072151352.996373
-y predicted = 4413814193.407655
-error 4.334078156953417e+17
- y tested = 7650055845.407672
-y predicted = 5836441684.398506
-error 3.28919632501298e+18
- y tested = 5789616901.049658
-y predicted = 6061829497.580152
-error 7.409969770987338e+16
- y tested = 8224428196.629629
-y predicted = 7484814245.887725
-error 5.47028796132048e+17
- y tested = 4059018123.5159216
-y predicted = 5096653280.04984
-error 1.0766867180751693e+18
- y tested = 5947637003.818383
-y predicted = 4055212567.6315794
-error 3.5812702466769423e+18
- y tested = 997516184.7000968
-y predicted = 553141329.0030099
-error 1.9746901237580685e+17
- y tested = 6532788063.289651
-y predicted = 6693471620.311466
-error 2.581920549718297e+16
- y tested = 1980229389.772511
-y predicted = 3487169771.9442196
-error 2.2708693154198152e+18
- y tested = 5035525633.343237
-y predicted = 5198758161.8228
-error 2.6644858353831268e+16
- y tested = 5026691733.102776
-y predicted = 5312468165.684491
-error 8.166816941913184e+16
- y tested = 1014996574.3865615
-y predicted = 1249063812.9352524
-error 5.478747216180978e+16
- y tested = 7665772326.561901
-y predicted = 6785107263.06015
-error 7.75570954072543e+17
- y tested = 3029054692.61153
-y predicted = 4755161940.733914
-error 2.979446232020631e+18
- y tested = 4062233415.93208
-y predicted = 4795566317.440774
-error 5.377771444351601e+17
- y tested = 5822958761.806049
-y predicted = 6320275624.023406
-error 2.4732406144571734e+17
- y tested = 6611133148.221605
-y predicted = 6345125373.102571
-error 7.076013642377898e+16
- y tested = 5377240292.736961
-y predicted = 3028545180.53626
-error 5.516368730075465e+18
-error squared vector [2.6574077524684093e+18, 1.7850600563164613e+18, 4.334078156953417e+17, 3.28919632501298e+18, 7.409969770987338e+16, 5.47028796132048e+17, 1.0766867180751693e+18, 3.5812702466769423e+18, 1.9746901237580685e+17, 2.581920549718297e+16, 2.2708693154198152e+18, 2.6644858353831268e+16, 8.166816941913184e+16, 5.478747216180978e+16, 7.75570954072543e+17, 2.979446232020631e+18, 5.377771444351601e+17, 2.4732406144571734e+17, 7.076013642377898e+16, 5.516368730075465e+18]
-Total loo_error 1.311433134989405e+18
-iteration 238current difference of loo_error -8512458385664.0
- getting loo error of with lamda = 0.013528953003976121, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1618878489.0821936
-error 2.620767562143233e+18
- y tested = 5326600510.288329
-y predicted = 3992428069.4492717
-error 1.780016101894448e+18
- y tested = 5072151352.996373
-y predicted = 4398917792.876317
-error 4.5324342647192525e+17
- y tested = 7650055845.407672
-y predicted = 5852249801.877706
-error 3.2321065701528714e+18
- y tested = 5789616901.049658
-y predicted = 6066139344.627638
-error 7.646466180233715e+16
- y tested = 8224428196.629629
-y predicted = 7500091954.777646
-error 5.246629912602545e+17
- y tested = 4059018123.5159216
-y predicted = 5094431020.909236
-error 1.0720798680884182e+18
- y tested = 5947637003.818383
-y predicted = 4059191345.663904
-error 3.5662270038025037e+18
- y tested = 997516184.7000968
-y predicted = 537727958.2071825
-error 2.114052132214995e+17
- y tested = 6532788063.289651
-y predicted = 6677466745.294207
-error 2.0931921026575348e+16
- y tested = 1980229389.772511
-y predicted = 3498799098.523085
-error 2.3060539603348035e+18
- y tested = 5035525633.343237
-y predicted = 5191800851.342884
-error 2.4421943760837236e+16
- y tested = 5026691733.102776
-y predicted = 5313435946.9421835
-error 8.22222441703801e+16
- y tested = 1014996574.3865615
-y predicted = 1235715091.23574
-error 4.8716663680101064e+16
- y tested = 7665772326.561901
-y predicted = 6795757621.09118
-error 7.569255877353059e+17
- y tested = 3029054692.61153
-y predicted = 4769175420.2069645
-error 3.028020146607265e+18
- y tested = 4062233415.93208
-y predicted = 4816074575.877545
-error 5.68276494427925e+17
- y tested = 5822958761.806049
-y predicted = 6336688063.885353
-error 2.639177958148885e+17
- y tested = 6611133148.221605
-y predicted = 6345345219.220625
-error 7.0643223202630184e+16
- y tested = 5377240292.736961
-y predicted = 3027446548.771862
-error 5.521530639177519e+18
-error squared vector [2.620767562143233e+18, 1.780016101894448e+18, 4.5324342647192525e+17, 3.2321065701528714e+18, 7.646466180233715e+16, 5.246629912602545e+17, 1.0720798680884182e+18, 3.5662270038025037e+18, 2.114052132214995e+17, 2.0931921026575348e+16, 2.3060539603348035e+18, 2.4421943760837236e+16, 8.22222441703801e+16, 4.8716663680101064e+16, 7.569255877353059e+17, 3.028020146607265e+18, 5.68276494427925e+17, 2.639177958148885e+17, 7.0643223202630184e+16, 5.521530639177519e+18]
-Total loo_error 1.3114317009387863e+18
-iteration 239current difference of loo_error 1434050618624.0
- getting loo error of with lamda = 0.014149320772329096, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1629815725.2644262
-error 2.656299298047572e+18
- y tested = 5326600510.288329
-y predicted = 3990596375.347253
-error 1.7849070485796536e+18
- y tested = 5072151352.996373
-y predicted = 4413370904.921094
-error 4.3399167876626566e+17
- y tested = 7650055845.407672
-y predicted = 5836917377.768539
-error 3.2874711028327813e+18
- y tested = 5789616901.049658
-y predicted = 6061952206.656967
-error 7.416651868022658e+16
- y tested = 8224428196.629629
-y predicted = 7485273624.563503
-error 5.4634948140625766e+17
- y tested = 4059018123.5159216
-y predicted = 5096586681.983668
-error 1.076548513520838e+18
- y tested = 5947637003.818383
-y predicted = 4055335826.220541
-error 3.5808037467381806e+18
- y tested = 997516184.7000968
-y predicted = 552678223.7315321
-error 1.9788081151867034e+17
- y tested = 6532788063.289651
-y predicted = 6693003143.604408
-error 2.5668871960264148e+16
- y tested = 1980229389.772511
-y predicted = 3487513585.7982745
-error 2.2719056475890322e+18
- y tested = 5035525633.343237
-y predicted = 5198553971.769455
-error 2.657823913001348e+16
- y tested = 5026691733.102776
-y predicted = 5312496689.318833
-error 8.16844729976627e+16
- y tested = 1014996574.3865615
-y predicted = 1248663188.6174605
-error 5.460008660613176e+16
- y tested = 7665772326.561901
-y predicted = 6785426465.80297
-error 7.750088345553834e+17
- y tested = 3029054692.61153
-y predicted = 4755578422.706068
-error 2.980884190579558e+18
- y tested = 4062233415.93208
-y predicted = 4796174608.991552
-error 5.38669674869562e+17
- y tested = 5822958761.806049
-y predicted = 6320756036.024029
-error 2.478021262188502e+17
- y tested = 6611133148.221605
-y predicted = 6345131847.709683
-error 7.075669187403378e+16
- y tested = 5377240292.736961
-y predicted = 3028515239.505005
-error 5.516509375679457e+18
-error squared vector [2.656299298047572e+18, 1.7849070485796536e+18, 4.3399167876626566e+17, 3.2874711028327813e+18, 7.416651868022658e+16, 5.4634948140625766e+17, 1.076548513520838e+18, 3.5808037467381806e+18, 1.9788081151867034e+17, 2.5668871960264148e+16, 2.2719056475890322e+18, 2.657823913001348e+16, 8.16844729976627e+16, 5.460008660613176e+16, 7.750088345553834e+17, 2.980884190579558e+18, 5.38669674869562e+17, 2.478021262188502e+17, 7.075669187403378e+16, 5.516509375679457e+18]
-Total loo_error 1.31142432060752e+18
-iteration 240current difference of loo_error -7380331266304.0
- getting loo error of with lamda = 0.013547752027259545, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1619211544.4347146
-error 2.6218460253607854e+18
- y tested = 5326600510.288329
-y predicted = 3992372589.6402564
-error 1.78016414423688e+18
- y tested = 5072151352.996373
-y predicted = 4399363617.919819
-error 4.526433364694398e+17
- y tested = 7650055845.407672
-y predicted = 5851782044.051759
-error 3.2337886646430464e+18
- y tested = 5789616901.049658
-y predicted = 6066004766.809212
-error 7.63902523391212e+16
- y tested = 8224428196.629629
-y predicted = 7499639505.596766
-error 5.2531864664913043e+17
- y tested = 4059018123.5159216
-y predicted = 5094497044.128335
-error 1.0722165950326487e+18
- y tested = 5947637003.818383
-y predicted = 4059077155.018276
-error 3.566658302499883e+18
- y tested = 997516184.7000968
-y predicted = 538184786.5500543
-error 2.109853333264729e+17
- y tested = 6532788063.289651
-y predicted = 6677953587.090637
-error 2.1073029300414716e+16
- y tested = 1980229389.772511
-y predicted = 3498448877.3306756
-error 2.304990412401376e+18
- y tested = 5035525633.343237
-y predicted = 5192011913.880293
-error 2.448795599632218e+16
- y tested = 5026691733.102776
-y predicted = 5313406693.264065
-error 8.220546838028966e+16
- y tested = 1014996574.3865615
-y predicted = 1236111161.3899665
-error 4.889166058568635e+16
- y tested = 7665772326.561901
-y predicted = 6795441203.719478
-error 7.574762633881536e+17
- y tested = 3029054692.61153
-y predicted = 4768755493.797101
-error 3.0265588776457185e+18
- y tested = 4062233415.93208
-y predicted = 4815458832.794635
-error 5.673485286077698e+17
- y tested = 5822958761.806049
-y predicted = 6336188827.7068405
-error 2.6340510054453043e+17
- y tested = 6611133148.221605
-y predicted = 6345338584.103463
-error 7.064675031475317e+16
- y tested = 5377240292.736961
-y predicted = 3027482204.098912
-error 5.521363075119941e+18
-error squared vector [2.6218460253607854e+18, 1.78016414423688e+18, 4.526433364694398e+17, 3.2337886646430464e+18, 7.63902523391212e+16, 5.2531864664913043e+17, 1.0722165950326487e+18, 3.566658302499883e+18, 2.109853333264729e+17, 2.1073029300414716e+16, 2.304990412401376e+18, 2.448795599632218e+16, 8.220546838028966e+16, 4.889166058568635e+16, 7.574762633881536e+17, 3.0265588776457185e+18, 5.673485286077698e+17, 2.6340510054453043e+17, 7.064675031475317e+16, 5.521363075119941e+18]
-Total loo_error 1.3114229211421181e+18
-iteration 241current difference of loo_error 1399465401856.0
- getting loo error of with lamda = 0.014131091416417899, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1629495903.4416034
-error 2.6552568990613847e+18
- y tested = 5326600510.288329
-y predicted = 3990650218.6588993
-error 1.7847631817047585e+18
- y tested = 5072151352.996373
-y predicted = 4412953624.993157
-error 4.3454164460460166e+17
- y tested = 7650055845.407672
-y predicted = 5837364868.557139
-error 3.2858485775553377e+18
- y tested = 5789616901.049658
-y predicted = 6062068025.912524
-error 7.422961543904122e+16
- y tested = 8224428196.629629
-y predicted = 7485705785.866716
-error 5.457108001633696e+17
- y tested = 4059018123.5159216
-y predicted = 5096524016.740811
-error 1.0764184784763763e+18
- y tested = 5947637003.818383
-y predicted = 4055451580.955481
-error 3.58036567449486e+18
- y tested = 997516184.7000968
-y predicted = 552242537.4994181
-error 1.982686208913945e+17
- y tested = 6532788063.289651
-y predicted = 6692561716.340391
-error 2.5527620209178316e+16
- y tested = 1980229389.772511
-y predicted = 3487837358.7107563
-error 2.2728817880061012e+18
- y tested = 5035525633.343237
-y predicted = 5198361601.28334
-error 2.6515552454990424e+16
- y tested = 5026691733.102776
-y predicted = 5312523554.173821
-error 8.169982993679038e+16
- y tested = 1014996574.3865615
-y predicted = 1248286258.399473
-error 5.442407666684406e+16
- y tested = 7665772326.561901
-y predicted = 6785726815.959437
-error 7.744801007315511e+17
- y tested = 3029054692.61153
-y predicted = 4755970499.27046
-error 2.982238203288464e+18
- y tested = 4062233415.93208
-y predicted = 4796747325.079565
-error 5.3951068273112026e+17
- y tested = 5822958761.806049
-y predicted = 6321208708.969349
-error 2.4825300984823082e+17
- y tested = 6611133148.221605
-y predicted = 6345137946.904824
-error 7.075344712355488e+16
- y tested = 5377240292.736961
-y predicted = 3028486901.3782086
-error 5.516642493419242e+18
-error squared vector [2.6552568990613847e+18, 1.7847631817047585e+18, 4.3454164460460166e+17, 3.2858485775553377e+18, 7.422961543904122e+16, 5.457108001633696e+17, 1.0764184784763763e+18, 3.58036567449486e+18, 1.982686208913945e+17, 2.5527620209178316e+16, 2.2728817880061012e+18, 2.6515552454990424e+16, 8.169982993679038e+16, 5.442407666684406e+16, 7.744801007315511e+17, 2.982238203288464e+18, 5.3951068273112026e+17, 2.4825300984823082e+17, 7.075344712355488e+16, 5.516642493419242e+18]
-Total loo_error 1.3114165148403594e+18
-iteration 242current difference of loo_error -6406301758720.0
- getting loo error of with lamda = 0.013565428978446162, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2002-1001'
+--- Neighbour 0 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2002-1001'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 46 in the X datas point
+--------------
+ --- Configuration: 1000-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 4062233415.93208
+ --- Energy: 36.86022362180361
+ --- Workload: 149735000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (41.829225389075674 mAh) it is NOT far from the median.
+--- Median :41.829225389075674, the gap is : 10
+--- So No we don't romove this configuration '2002-1001'
+ --- remove_aberrant_points: The value [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0]
+--- Computing the list of the 10 first neighbours of '0101-2020'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1619524627.2519724
-error 2.6228600180057196e+18
- y tested = 5326600510.288329
-y predicted = 3992320419.45994
-error 1.7803033607810145e+18
- y tested = 5072151352.996373
-y predicted = 4399782372.854731
-error 4.520800454567125e+17
- y tested = 7650055845.407672
-y predicted = 5851342384.419427
-error 3.235370114740311e+18
- y tested = 5789616901.049658
-y predicted = 6065878675.533291
-error 7.632056804084573e+16
- y tested = 8224428196.629629
-y predicted = 7499214258.697206
-error 5.259352557714531e+17
- y tested = 4059018123.5159216
-y predicted = 5094559086.592632
-error 1.0723450862098415e+18
- y tested = 5947637003.818383
-y predicted = 4058969623.139842
-error 3.5670644748391414e+18
- y tested = 997516184.7000968
-y predicted = 538614128.4364794
-error 2.1059109724297626e+17
- y tested = 6532788063.289651
-y predicted = 6678410427.598056
-error 2.1205872986769804e+16
- y tested = 1980229389.772511
-y predicted = 3498120038.2588673
-error 2.3039920207623311e+18
- y tested = 5035525633.343237
-y predicted = 5192210002.379652
-error 2.4549991500339516e+16
- y tested = 5026691733.102776
-y predicted = 5313379232.803034
-error 8.218972248438558e+16
- y tested = 1014996574.3865615
-y predicted = 1236483376.9665864
-error 4.90564037171229e+16
- y tested = 7665772326.561901
-y predicted = 6795143865.180301
-error 7.579939177676928e+17
- y tested = 3029054692.61153
-y predicted = 4768361093.93471
-error 3.02518675768379e+18
- y tested = 4062233415.93208
-y predicted = 4814880585.086653
-error 5.664777612363924e+17
- y tested = 5822958761.806049
-y predicted = 6335720356.55639
-error 2.629244530509124e+17
- y tested = 6611133148.221605
-y predicted = 6345332354.258793
-error 7.0650062071261464e+16
- y tested = 5377240292.736961
-y predicted = 3027515538.120855
-error 5.521206422455722e+18
-error squared vector [2.6228600180057196e+18, 1.7803033607810145e+18, 4.520800454567125e+17, 3.235370114740311e+18, 7.632056804084573e+16, 5.259352557714531e+17, 1.0723450862098415e+18, 3.5670644748391414e+18, 2.1059109724297626e+17, 2.1205872986769804e+16, 2.3039920207623311e+18, 2.4549991500339516e+16, 8.218972248438558e+16, 4.90564037171229e+16, 7.579939177676928e+17, 3.02518675768379e+18, 5.664777612363924e+17, 2.629244530509124e+17, 7.0650062071261464e+16, 5.521206422455722e+18]
-Total loo_error 1.3114151703402368e+18
-iteration 243current difference of loo_error 1344500122624.0
- getting loo error of with lamda = 0.014113950130418756, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0101-2020'
+--- Neighbour 0 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0101-2020'
+--- Neighbour 0 in the list of neghbours, And at position 54 in the X datas point
+--------------
+ --- Configuration: 0000-2000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3331046015.069652
+ --- Energy: 35.40657570372512
+ --- Workload: 117941000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 24 in the X datas point
+--------------
+ --- Configuration: 0000-3000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3307720550.5370083
+ --- Energy: 35.59789292409111
+ --- Workload: 117748000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 42 in the X datas point
+--------------
+ --- Configuration: 1100-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5947637003.818383
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 7 in the X datas point
+--------------
+ --- Configuration: 1000-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6501654671.113798
+ --- Energy: 42.85376093977719
+ --- Workload: 278621000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 69 in the X datas point
+--------------
+ --- Configuration: 0101-2020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8367150566.874451
+ --- Energy: 43.37670883350873
+ --- Workload: 362938000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 26 in the X datas point
+--------------
+ --- Configuration: 0000-3330
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7665772326.561901
+ --- Energy: 48.682465076838824
+ --- Workload: 373189000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 56 in the X datas point
+--------------
+ --- Configuration: 1001-2220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9166575000.916658
+ --- Energy: 50.735447078258076
+ --- Workload: 465069000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 43 in the X datas point
+--------------
+ --- Configuration: 2200-2000
+ --- Energy efficiency: 5035525633.343237
+ --- Energy: 36.93355197432356
+ --- Workload: 185980000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.93355197432356 mAh) it is NOT far from the median.
+--- Median :36.93355197432356, the gap is : 10
+--- So No we don't romove this configuration '0101-2020'
+ --- remove_aberrant_points: The value [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1]
+--- Computing the list of the 10 first neighbours of '0202-1001'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0202-1001'
+--- Neighbour 0 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 72 in the X datas point
+--------------
+ --- Configuration: 0220-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7282684688.88371
+ --- Energy: 43.18443043197562
+ --- Workload: 314499000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 0 in the X datas point
+--------------
+ --- Configuration: 0303-1010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8236960890.90969
+ --- Energy: 61.00540758755291
+ --- Workload: 502499000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0202-1001'
+--- Neighbour 0 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 72 in the X datas point
+--------------
+ --- Configuration: 0220-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7282684688.88371
+ --- Energy: 43.18443043197562
+ --- Workload: 314499000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 65 in the X datas point
+--------------
+ --- Configuration: 0303-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6928278461.367919
+ --- Energy: 53.6166443408558
+ --- Workload: 371471000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 0 in the X datas point
+--------------
+ --- Configuration: 0303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8236960890.90969
+ --- Energy: 61.00540758755291
+ --- Workload: 502499000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 14 in the X datas point
+--------------
+ --- Configuration: 3303-1010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9340120487.55429
+ --- Energy: 67.3857084084629
+ --- Workload: 629393000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 2 in the X datas point
+--------------
+ --- Configuration: 0303-0100
+ --- Energy efficiency: 6956231392.081026
+ --- Energy: 53.38267358149647
+ --- Workload: 371343000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (53.38267358149647 mAh) it is NOT far from the median.
+--- Median :53.38267358149647, the gap is : 10
+--- So No we don't romove this configuration '0202-1001'
+ --- remove_aberrant_points: The value [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 1, 0.0, 1, 1, 0, 1]
+--- Computing the list of the 10 first neighbours of '3003-1101'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3003-1101'
+--- Neighbour 0 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 73 in the X datas point
+--------------
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3003-1101'
+--- Neighbour 0 in the list of neghbours, And at position 44 in the X datas point
+--------------
+ --- Configuration: 3000-1000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 5326600510.288329
+ --- Energy: 36.46450751429702
+ --- Workload: 194232000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 49 in the X datas point
+--------------
+ --- Configuration: 3000-2200
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6519117311.516021
+ --- Energy: 42.79271109577192
+ --- Workload: 278971000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 48 in the X datas point
+--------------
+ --- Configuration: 3000-1100
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 6443423519.784533
+ --- Energy: 43.3608751201712
+ --- Workload: 279393000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 4 in the X datas point
+--------------
+ --- Configuration: 3000-1110
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8096707069.234942
+ --- Energy: 49.41467631934382
+ --- Workload: 400095000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 73 in the X datas point
+--------------
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (67.46193459835338 mAh) is far from the median.
+--- Median :48.71596839606954, the gap is : 10
+--- So yes we remove this configuration '3003-1101'
+--- remove_aberrant_points: The value [2.0, 1, 0, 0, 1, 0.0, 1, 1, 0, 1] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1]
+--- Computing the list of the 10 first neighbours of '0220-1001'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '0220-1001'
+--- Neighbour 0 in the list of neghbours, And at position 72 in the X datas point
+--------------
+ --- Configuration: 0220-1001
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 7282684688.88371
+ --- Energy: 43.18443043197562
+ --- Workload: 314499000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '0220-1001'
+--- Neighbour 0 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 57 in the X datas point
+--------------
+ --- Configuration: 0200-1100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6540008502.011052
+ --- Energy: 42.722378810206706
+ --- Workload: 279405000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 72 in the X datas point
+--------------
+ --- Configuration: 0220-1001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7282684688.88371
+ --- Energy: 43.18443043197562
+ --- Workload: 314499000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 70 in the X datas point
+--------------
+ --- Configuration: 0202-1001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8895689149.038376
+ --- Energy: 48.8428586507307
+ --- Workload: 434491000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (36.82601141845538 mAh) it is NOT far from the median.
+--- Median :36.82601141845538, the gap is : 10
+--- So No we don't romove this configuration '0220-1001'
+ --- remove_aberrant_points: The value [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [2.0, 1, 0, 0, 1, 1.0, 0, 0, 0, 1]
+--- Computing the list of the 10 first neighbours of '3003-0002'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '3003-0002'
+--- Neighbour 0 in the list of neghbours, And at position 73 in the X datas point
+--------------
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '3003-0002'
+--- Neighbour 0 in the list of neghbours, And at position 18 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 29.060137396486432
+ --- Workload: 29553800000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 35 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 29.239529117166907
+ --- Workload: 29535500000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 45 in the X datas point
+--------------
+ --- Configuration: 3000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4059018123.5159216
+ --- Energy: 36.96583597689362
+ --- Workload: 150045000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 68 in the X datas point
+--------------
+ --- Configuration: 2002-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8795770993.306417
+ --- Energy: 48.71596839606954
+ --- Workload: 428493000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 15 in the X datas point
+--------------
+ --- Configuration: 0003-1001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 6806147312.252427
+ --- Energy: 54.44253148500697
+ --- Workload: 370545000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3303-0001
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8321129010.784183
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 73 in the X datas point
+--------------
+ --- Configuration: 3003-0002
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 7595205906.032112
+ --- Energy: 65.80063109114849
+ --- Workload: 499771000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 71 in the X datas point
+--------------
+ --- Configuration: 3003-1101
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9428892010.8998
+ --- Energy: 67.46193459835338
+ --- Workload: 636090000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2002-2000
+ --- Energy efficiency: 7263008047.412917
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (65.80063109114849 mAh) is far from the median.
+--- Median :41.829225389075674, the gap is : 10
+--- So yes we remove this configuration '3003-0002'
+--- remove_aberrant_points: The value [2.0, 1, 0, 0, 1, 1.0, 0, 0, 0, 1] is an abberant point. we don't add it
+ --- remove_aberrant_points: do we remove value [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1]
+--- Computing the list of the 10 first neighbours of '1111-0101'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '1111-0101'
+--- Neighbour 0 in the list of neghbours, And at position 74 in the X datas point
+--------------
+ --- Configuration: 1111-0101
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 9080672696.233337
+ --- Energy: 45.44863666563364
+ --- Workload: 412706000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 10 in the X datas point
+--------------
+ --- Configuration: 0011-0111
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8964027358.211496
+ --- Energy: 50.74428137607953
+ --- Workload: 454872000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '1111-0101'
+--- Neighbour 0 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 58 in the X datas point
+--------------
+ --- Configuration: 2002-0100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7245431755.278297
+ --- Energy: 42.016301664202444
+ --- Workload: 304426000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 13 in the X datas point
+--------------
+ --- Configuration: 0011-1100
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7650055845.407672
+ --- Energy: 43.82652071469574
+ --- Workload: 335276000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 74 in the X datas point
+--------------
+ --- Configuration: 1111-0101
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 9080672696.233337
+ --- Energy: 45.44863666563364
+ --- Workload: 412706000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 10 in the X datas point
+--------------
+ --- Configuration: 0011-0111
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8964027358.211496
+ --- Energy: 50.74428137607953
+ --- Workload: 454872000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 60 in the X datas point
+--------------
+ --- Configuration: 0101-0200
+ --- Energy efficiency: 5549420363.04308
+ --- Energy: 37.334916995372765
+ --- Workload: 207187000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (37.334916995372765 mAh) it is NOT far from the median.
+--- Median :37.334916995372765, the gap is : 10
+--- So No we don't romove this configuration '1111-0101'
+ --- remove_aberrant_points: The value [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+--- Computing the list of the 10 first neighbours of '2220-0000'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2220-0000'
+--- Neighbour 0 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2220-0000'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 5 in the X datas point
+--------------
+ --- Configuration: 0030-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 994906080.8659663
+ --- Energy: 29.623247258891045
+ --- Workload: 29472300000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 36 in the X datas point
+--------------
+ --- Configuration: 1100-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 2018619748.5607243
+ --- Energy: 30.059275323795035
+ --- Workload: 60678300000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 37 in the X datas point
+--------------
+ --- Configuration: 2200-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1998856653.9939156
+ --- Energy: 30.07061597004587
+ --- Workload: 60106800000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Distance from that configuration: [0.91310072]
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 75 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 30.63396781022152
+ --- Workload: 91642100000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 38 in the X datas point
+--------------
+ --- Configuration: 1110-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 2905397356.669485
+ --- Energy: 30.668041259477853
+ --- Workload: 89102900000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3330-0000
+ --- Distance from that configuration: [0.83375292]
+ --- Energy efficiency: 5377240292.736961
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 21 in the X datas point
+--------------
+ --- Configuration: 3333-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8296551953.00833
+ --- Energy: 59.045602086542516
+ --- Workload: 489874000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 19 in the X datas point
+--------------
+ --- Configuration: 3300-0000
+ --- Energy efficiency: 1980229389.772511
+ --- Energy: 30.277288658122774
+ --- Workload: 59956000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (30.277288658122774 mAh) it is NOT far from the median.
+--- Median :30.277288658122774, the gap is : 10
+--- So No we don't romove this configuration '2220-0000'
+ --- remove_aberrant_points: The value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0] is not an abberant point.
+ --- remove_aberrant_points: do we remove value [1.0, 1, 0, 1, 0, 1.0, 0, 0, 1, 1]
+--- Computing the list of the 10 first neighbours of '2020-0022'
+*** START computing ci exp matrix
+X = [[2. 0. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 0. 1. 0. 0.]
+ [1. 1. 1. 1. 1. 1. 0. 1. 1. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 1. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 1. 0.]
+ [1. 0. 0. 1. 0. 1. 0. 1. 0. 1.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 0. 1. 1. 1.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 1. 0. 1. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 1. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 1. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [0. 1. 0. 0. 1. 1. 1. 1. 1. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [1. 1. 0. 0. 1. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 1. 1. 0. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 1. 0. 1. 0.]
+ [1. 0. 1. 0. 1. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 0. 1. 1. 0. 1.]
+ [1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 1. 1. 0. 0. 0. 1.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [1. 1. 0. 1. 0. 1. 0. 0. 1. 1.]]
+*** END computing ci exp matrix, cached result [[[1. ]
+ [0.52921334]
+ [0.76130039]
+ ...
+ [0.40289032]
+ [0.57957828]
+ [0.48322508]]
+
+ [[0.52921334]
+ [1. ]
+ [0.48322508]
+ ...
+ [0.30672056]
+ [0.44123317]
+ [0.52921334]]
+
+ [[0.76130039]
+ [0.48322508]
+ [1. ]
+ ...
+ [0.52921334]
+ [0.63473642]
+ [0.44123317]]
+
+ ...
+
+ [[0.40289032]
+ [0.30672056]
+ [0.52921334]
+ ...
+ [1. ]
+ [0.69514393]
+ [0.57957828]]
+
+ [[0.57957828]
+ [0.44123317]
+ [0.63473642]
+ ...
+ [0.69514393]
+ [1. ]
+ [0.69514393]]
+
+ [[0.48322508]
+ [0.52921334]
+ [0.44123317]
+ ...
+ [0.57957828]
+ [0.69514393]
+ [1. ]]]
+--- Ordered by distance, Printing the list of the 10 first neighbours of '2020-0022'
+--- Neighbour 0 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Ordered by energy, Printing the list of the 10 first neighbours of '2020-0022'
+--- Neighbour 0 in the list of neghbours, And at position 34 in the X datas point
+--------------
+ --- Configuration: 2000-0000
+ --- Distance from that configuration: [1.]
+ --- Energy efficiency: 1014996574.3865615
+ --- Energy: 29.02206558996354
+ --- Workload: 29457300000.0
+--------------
+--- Neighbour 1 in the list of neghbours, And at position 39 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 30.508250558695604
+ --- Workload: 92411200000.0
+--------------
+--- Neighbour 2 in the list of neghbours, And at position 47 in the X datas point
+--------------
+ --- Configuration: 2000-2000
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 4153496621.1304984
+ --- Energy: 36.241340818491324
+ --- Workload: 150528000000.0
+--------------
+--- Neighbour 3 in the list of neghbours, And at position 66 in the X datas point
+--------------
+ --- Configuration: 0110-0020
+ --- Distance from that configuration: [0.76130039]
+ --- Energy efficiency: 5821399464.43125
+ --- Energy: 36.31061849927073
+ --- Workload: 211379000000.0
+--------------
+--- Neighbour 4 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Neighbour 5 in the list of neghbours, And at position 6 in the X datas point
+--------------
+ --- Configuration: 0020-0010
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 3998672440.749671
+ --- Energy: 36.82601141845538
+ --- Workload: 147255000000.0
+--------------
+--- Neighbour 6 in the list of neghbours, And at position 12 in the X datas point
+--------------
+ --- Configuration: 0022-0030
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 7249844128.351241
+ --- Energy: 42.05401520354165
+ --- Workload: 304885000000.0
+--------------
+--- Neighbour 7 in the list of neghbours, And at position 3 in the X datas point
+--------------
+ --- Configuration: 2222-0220
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 11285968381.230984
+ --- Energy: 54.74622776577034
+ --- Workload: 617864000000.0
+--------------
+--- Neighbour 8 in the list of neghbours, And at position 76 in the X datas point
+--------------
+ --- Configuration: 2020-0022
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8754497623.153894
+ --- Energy: 65.93701913313123
+ --- Workload: 577244000000.0
+--------------
+--- Neighbour 9 in the list of neghbours, And at position 8 in the X datas point
+--------------
+ --- Configuration: 0020-0202
+ --- Distance from that configuration: [0.69514393]
+ --- Energy efficiency: 8089829466.394849
+ --- Energy: 66.44909360627778
+ --- Workload: 537560000000.0
+--------------
+--------------
+--- Median at position 4 in the list of neghbours, And at position 64 in the X datas point
+--------------
+ --- Configuration: 0220-0020
+ --- Energy efficiency: 5040602049.508794
+ --- Energy: 36.67117347490831
+ --- Workload: 184845000000.0
+--------------
+--- Comparing the median energy with the energy of that data point
+--- The energy of the current configuration (65.93701913313123 mAh) is far from the median.
+--- Median :36.67117347490831, the gap is : 10
+--- So yes we remove this configuration '2020-0022'
+--- remove_aberrant_points: The value [1.0, 1, 0, 1, 0, 1.0, 0, 0, 1, 1] is an abberant point. we don't add it
+--- remove_aberrant_points: Printing all 14 removed points
+ --- Configuration: 0033-3000
+ --- Energy: 53.35616382684589
+ --- Configuration: 2222-0220
+ --- Energy: 54.74622776577034
+ --- Configuration: 3000-1110
+ --- Energy: 49.41467631934382
+ --- Configuration: 1000-1010
+ --- Energy: 42.85376093977719
+ --- Configuration: 0020-0202
+ --- Energy: 66.44909360627778
+ --- Configuration: 0011-0111
+ --- Energy: 50.74428137607953
+ --- Configuration: 3303-1010
+ --- Energy: 67.3857084084629
+ --- Configuration: 3333-0000
+ --- Energy: 59.045602086542516
+ --- Configuration: 3333-3000
+ --- Energy: 66.34289826476824
+ --- Configuration: 3333-3300
+ --- Energy: 75.09852863759252
+ --- Configuration: 2002-0100
+ --- Energy: 42.016301664202444
+ --- Configuration: 3003-1101
+ --- Energy: 67.46193459835338
+ --- Configuration: 3003-0002
+ --- Energy: 65.80063109114849
+ --- Configuration: 2020-0022
+ --- Energy: 65.93701913313123
+final_X_user friendly :
+ ['0303-1010', '0303-0100', '0030-0000', '0020-0010', '0010-3300', '3303-0001', '0022-0030', '0011-1100', '0003-1001', '0000-0000', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '0000-0000', '1000-0000', '2000-0000', '3000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000', '2000-2000', '3000-1100', '3000-2200', '1000-1100', '2000-2200', '3000-3300', '0000-1000', '0000-2000', '0000-2200', '1001-2220', '0200-1100', '0000-0001', '0101-0200', '3330-2220', '2002-2000', '0001-0200', '0220-0020', '0303-1000', '0110-0020', '0030-2000', '2002-1001', '0101-2020', '0202-1001', '0220-1001', '1111-0101', '2220-0000']
+final_X :
+ [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1], [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
+final_y :
+ [8236960890.90969, 6956231392.081026, 994906080.8659663, 3998672440.749671, 6532788063.289651, 8321129010.784183, 7249844128.351241, 7650055845.407672, 6806147312.252427, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208, 4153496621.1304984, 6443423519.784533, 6519117311.516021, 6448575832.027497, 6539495281.754154, 6473246073.976255, 3145168392.3157244, 3331046015.069652, 5724131219.984087, 9166575000.916658, 6540008502.011052, 3321398441.599851, 5549420363.04308, 9229945635.620207, 7263008047.412917, 4385426351.149858, 5040602049.508794, 6928278461.367919, 5821399464.43125, 4809102669.532892, 8795770993.306417, 8367150566.874451, 8895689149.038376, 7282684688.88371, 9080672696.233337, 2991522026.5766816]
+ --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.23696089e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.95623139e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.94906081e+08]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 3.99867244e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53278806e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.32112901e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 2.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.24984413e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.65005585e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 6.80614731e+09]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01698776e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.98022939e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.37724029e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.30772055e+09]
+ --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 5.7896169e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.66577233e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.07215135e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.82295876e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.14998029e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.61113315e+09]
+ --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
+ 8.2244282e+09]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.97516185e+08]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01499657e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01012244e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.01861975e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.99885665e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.90539736e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.02905469e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.05839922e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.02669173e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
+ 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
+ 5.947637e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.03552563e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.32660051e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.05901812e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.06223342e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.15349662e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44342352e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.51911731e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
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+ 0.00000000e+00 0.00000000e+00 6.44857583e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53949528e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.47324607e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.14516839e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.33104602e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.72413122e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
+ 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00
+ 9.166575e+09]
+ --- Actual line: [1.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 6.5400085e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 3.32139844e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.54942036e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 9.22994564e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.26300805e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.38542635e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.04060205e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.92827846e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.82139946e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.80910267e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.79577099e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.36715057e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.89568915e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 7.28268469e+09]
+ --- Actual line: [0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 0.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 1.0000000e+00
+ 9.0806727e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.99152203e+09]
+--- Size of X after removing aberrants points from the dataset: 63
+--- Number of abberant points removed : 14
+*** Ratio energy by wokload : [8236960890.90969, 6956231392.081026, 994906080.8659663, 3998672440.749671, 6532788063.289651, 8321129010.784183, 7249844128.351241, 7650055845.407672, 6806147312.252427, 0.08333333333333333, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6611133148.221605, 8224428196.629629, 0.08333333333333333, 997516184.7000968, 1014996574.3865615, 1010122436.9405816, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 3029054692.61153, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208, 4153496621.1304984, 6443423519.784533, 6519117311.516021, 6448575832.027497, 6539495281.754154, 6473246073.976255, 3145168392.3157244, 3331046015.069652, 5724131219.984087, 9166575000.916658, 6540008502.011052, 3321398441.599851, 5549420363.04308, 9229945635.620207, 7263008047.412917, 4385426351.149858, 5040602049.508794, 6928278461.367919, 5821399464.43125, 4809102669.532892, 8795770993.306417, 8367150566.874451, 8895689149.038376, 7282684688.88371, 9080672696.233337, 2991522026.5766816]
+--- Size of X before removing duplicates: 63
+ --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.23696089e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.95623139e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.94906081e+08]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 3.99867244e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53278806e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.32112901e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 2.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.24984413e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.65005585e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 6.80614731e+09]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01698776e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.98022939e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.37724029e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.30772055e+09]
+ --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 5.7896169e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.66577233e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.07215135e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.82295876e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.14998029e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.61113315e+09]
+ --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
+ 8.2244282e+09]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.97516185e+08]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01499657e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01012244e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.01861975e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.99885665e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.90539736e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.02905469e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.05839922e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.02669173e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
+ 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
+ 5.947637e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.03552563e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.32660051e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.05901812e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.06223342e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.15349662e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44342352e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.51911731e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44857583e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53949528e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.47324607e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.14516839e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.33104602e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.72413122e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
+ 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00
+ 9.166575e+09]
+ --- Actual line: [1.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 6.5400085e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 3.32139844e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.54942036e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 9.22994564e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.26300805e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.38542635e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.04060205e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.92827846e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.82139946e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.80910267e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.79577099e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.36715057e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.89568915e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 7.28268469e+09]
+ --- Actual line: [0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 0.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 1.0000000e+00
+ 9.0806727e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.99152203e+09]
+ --- Checking value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0]
+ --- Retained configurations []
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : configuration is present, have it been processed? -1
+ --- Answer : the configuration 0000-0000 is already present at positions [9, 10, 22]
+ --- Position: 9
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 42.64544340651106
+ --- Workload: 278594000000.0
+--------------
+ --- Position: 10
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 50.74428137607953
+ --- Workload: 454872000000.0
+--------------
+ --- Position: 22
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 66.34289826476824
+ --- Workload: 623684000000.0
+--------------
+----------------------
+--- Ordered by energy, Printing the list of the 3 duplicates of '0000-0000'
+--- Duplicate 0 in the list of duplicate, And at position 22 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 66.34289826476824
+ --- Workload: 623684000000.0
+--------------
+--- Duplicate 1 in the list of duplicate, And at position 10 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 50.74428137607953
+ --- Workload: 454872000000.0
+--------------
+--- Duplicate 2 in the list of duplicate, And at position 9 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 42.64544340651106
+ --- Workload: 278594000000.0
+--------------
+--------------
+--- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 22 in the X datas point
+--------------
+ --- Configuration: 0000-0000
+ --- Energy efficiency: 0.08333333333333333
+ --- Energy: 66.34289826476824
+ --- Workload: 623684000000.0
+--------------
+ --- Checking value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0]]
+ --- Answer : configuration is present, have it been processed? 0
+ --- Checking value [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : configuration is present, have it been processed? -1
+ --- Answer : the configuration 3000-0000 is already present at positions [11, 25]
+ --- Position: 11
+--------------
+ --- Configuration: 3000-0000
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+ --- Position: 25
+--------------
+ --- Configuration: 3000-0000
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+----------------------
+--- Ordered by energy, Printing the list of the 2 duplicates of '3000-0000'
+--- Duplicate 0 in the list of duplicate, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+--- Duplicate 1 in the list of duplicate, And at position 25 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Energy efficiency: 1010122436.9405816
+ --- Energy: 42.05795824330537
+ --- Workload: 243499000000.0
+--------------
+--------------
+--- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 11 in the X datas point
+--------------
+ --- Configuration: 3000-0000
+ --- Energy efficiency: 1016987763.6032282
+ --- Energy: 59.94594005320708
+ --- Workload: 498819000000.0
+--------------
+ --- Checking value [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]]
+ --- Answer : configuration is present, have it been processed? -1
+ --- Answer : the configuration 3000-3300 is already present at positions [20, 42]
+ --- Position: 20
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+ --- Position: 42
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+----------------------
+--- Ordered by energy, Printing the list of the 2 duplicates of '3000-3300'
+--- Duplicate 0 in the list of duplicate, And at position 42 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+--- Duplicate 1 in the list of duplicate, And at position 20 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6611133148.221605
+ --- Energy: 32.51205394198035
+ --- Workload: 174825000000.0
+--------------
+--------------
+--- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 42 in the X datas point
+--------------
+ --- Configuration: 3000-3300
+ --- Energy efficiency: 6473246073.976255
+ --- Energy: 36.68430426428569
+ --- Workload: 218185000000.0
+--------------
+ --- Checking value [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1]]
+ --- Answer : we add the configuration, it is not yet present
+ --- Checking value [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
+ --- Retained configurations [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1], [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1]]
+ --- Answer : configuration is present, have it been processed? -1
+ --- Answer : the configuration 2220-0000 is already present at positions [29, 62]
+ --- Position: 29
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+ --- Position: 62
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+----------------------
+--- Ordered by energy, Printing the list of the 2 duplicates of '2220-0000'
+--- Duplicate 0 in the list of duplicate, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+--- Duplicate 1 in the list of duplicate, And at position 29 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 3029054692.61153
+ --- Energy: 36.1860248822606
+ --- Workload: 150171000000.0
+--------------
+--------------
+--- We append this Median as duplicate representant at position 0 in the list of duplicates, And at position 62 in the X datas point
+--------------
+ --- Configuration: 2220-0000
+ --- Energy efficiency: 2991522026.5766816
+ --- Energy: 41.829225389075674
+ --- Workload: 303807000000.0
+--------------
+final_X_user friendly :
+ ['0303-1010', '0303-0100', '0030-0000', '0020-0010', '0010-3300', '3303-0001', '0022-0030', '0011-1100', '0003-1001', '0000-0000', '3000-0000', '3300-0000', '3330-0000', '0000-3000', '0000-3300', '0000-3330', '3300-3000', '3330-3000', '3000-3000', '3000-3300', '3000-3330', '1000-0000', '2000-0000', '1100-0000', '2200-0000', '1110-0000', '2220-0000', '3300-1000', '3300-2000', '1100-1000', '2200-2000', '3000-1000', '3000-2000', '1000-1000', '2000-2000', '3000-1100', '3000-2200', '1000-1100', '2000-2200', '0000-1000', '0000-2000', '0000-2200', '1001-2220', '0200-1100', '0000-0001', '0101-0200', '3330-2220', '2002-2000', '0001-0200', '0220-0020', '0303-1000', '0110-0020', '0030-2000', '2002-1001', '0101-2020', '0202-1001', '0220-1001', '1111-0101']
+final_X :
+ [[2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [2.0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [1.0, 0, 0, 1, 0, 0.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 1, 0, 1, 0.0, 0, 0, 0, 1], [1.0, 0, 0, 1, 1, 2.0, 0, 0, 1, 0], [0.0, 0, 0, 1, 1, 0.0, 1, 1, 0, 0], [2.0, 0, 0, 0, 1, 0.0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 1, 1, 0], [2.0, 1, 1, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 2.0, 1, 1, 1, 0], [0.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1.0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [1.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [1.0, 0, 1, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 1.0, 1, 1, 1, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [1.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 1, 0, 1.0, 0, 0, 1, 0], [2.0, 0, 0, 1, 0, 1.0, 1, 0, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [1.0, 0, 1, 1, 0, 0.0, 1, 0, 0, 1], [0.0, 1, 1, 1, 1, 0.0, 0, 1, 0, 1]]
+final_y :
+ [8236960890.90969, 6956231392.081026, 994906080.8659663, 3998672440.749671, 6532788063.289651, 8321129010.784183, 7249844128.351241, 7650055845.407672, 6806147312.252427, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6473246073.976255, 8224428196.629629, 997516184.7000968, 1014996574.3865615, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 2991522026.5766816, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208, 4153496621.1304984, 6443423519.784533, 6519117311.516021, 6448575832.027497, 6539495281.754154, 3145168392.3157244, 3331046015.069652, 5724131219.984087, 9166575000.916658, 6540008502.011052, 3321398441.599851, 5549420363.04308, 9229945635.620207, 7263008047.412917, 4385426351.149858, 5040602049.508794, 6928278461.367919, 5821399464.43125, 4809102669.532892, 8795770993.306417, 8367150566.874451, 8895689149.038376, 7282684688.88371, 9080672696.233337]
+ --- Actual line: ['X_0' 'X_1' 'X_2' 'X_3' 'X_4' 'X_5' 'X_6' 'X_7' 'X_8' 'X_9' 'y']
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.23696089e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.95623139e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.94906081e+08]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 3.99867244e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53278806e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.32112901e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 2.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.24984413e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.65005585e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 6.80614731e+09]
+ --- Actual line: [0. 0. 0. 0. 0. 0.
+ 0. 0. 0. 0. 0.08333333]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01698776e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.98022939e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.37724029e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.30772055e+09]
+ --- Actual line: [0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 5.7896169e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 7.66577233e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.07215135e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.82295876e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.14998029e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 2.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.47324607e+09]
+ --- Actual line: [2.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00
+ 2.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00
+ 8.2244282e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 9.97516185e+08]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.01499657e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.01861975e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.99885665e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.90539736e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 2.99152203e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.05839922e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.02669173e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00
+ 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
+ 5.947637e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.03552563e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.32660051e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.05901812e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.06223342e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.15349662e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44342352e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.51911731e+09]
+ --- Actual line: [0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.44857583e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.53949528e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.14516839e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 3.33104602e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.72413122e+09]
+ --- Actual line: [0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
+ 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 0.000000e+00
+ 9.166575e+09]
+ --- Actual line: [1.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 0.0000000e+00
+ 6.5400085e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 3.32139844e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 5.54942036e+09]
+ --- Actual line: [2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00
+ 1.00000000e+00 0.00000000e+00 9.22994564e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 7.26300805e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.38542635e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.04060205e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 6.92827846e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 5.82139946e+09]
+ --- Actual line: [2.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00
+ 0.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 0.00000000e+00 4.80910267e+09]
+ --- Actual line: [1.00000000e+00 1.00000000e+00 0.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.79577099e+09]
+ --- Actual line: [0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 1.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 8.36715057e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 1.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 8.89568915e+09]
+ --- Actual line: [1.00000000e+00 0.00000000e+00 1.00000000e+00 1.00000000e+00
+ 0.00000000e+00 0.00000000e+00 1.00000000e+00 0.00000000e+00
+ 0.00000000e+00 1.00000000e+00 7.28268469e+09]
+ --- Actual line: [0.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00 1.0000000e+00
+ 0.0000000e+00 0.0000000e+00 1.0000000e+00 0.0000000e+00 1.0000000e+00
+ 9.0806727e+09]
+--- Size of X after removing duplicates: 58
+--- Number of duplicates points removed : 5
+*** Ratio energy by wokload : [8236960890.90969, 6956231392.081026, 994906080.8659663, 3998672440.749671, 6532788063.289651, 8321129010.784183, 7249844128.351241, 7650055845.407672, 6806147312.252427, 0.08333333333333333, 1016987763.6032282, 1980229389.772511, 5377240292.736961, 3307720550.5370083, 5789616901.049658, 7665772326.561901, 5072151352.996373, 5822958761.806049, 4149980287.5936337, 6473246073.976255, 8224428196.629629, 997516184.7000968, 1014996574.3865615, 2018619748.5607243, 1998856653.9939156, 2905397356.669485, 2991522026.5766816, 5058399218.983161, 5026691733.102776, 5947637003.818383, 5035525633.343237, 5326600510.288329, 4059018123.5159216, 4062233415.93208, 4153496621.1304984, 6443423519.784533, 6519117311.516021, 6448575832.027497, 6539495281.754154, 3145168392.3157244, 3331046015.069652, 5724131219.984087, 9166575000.916658, 6540008502.011052, 3321398441.599851, 5549420363.04308, 9229945635.620207, 7263008047.412917, 4385426351.149858, 5040602049.508794, 6928278461.367919, 5821399464.43125, 4809102669.532892, 8795770993.306417, 8367150566.874451, 8895689149.038376, 7282684688.88371, 9080672696.233337]
+---> getting userfriendly values from X values
+---> getting userfriendly values from X values
+Train set Configurations : [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1629195085.1055577
-error 2.654276625060573e+18
- y tested = 5326600510.288329
-y predicted = 3990700847.429668
-error 1.7846279092258847e+18
- y tested = 5072151352.996373
-y predicted = 4412560852.414246
-error 4.350596284581816e+17
- y tested = 7650055845.407672
-y predicted = 5837785818.054211
-error 3.284322652043715e+18
- y tested = 5789616901.049658
-y predicted = 6062177317.48678
-error 7.428918060837755e+16
- y tested = 8224428196.629629
-y predicted = 7486112331.138172
-error 5.451103172363992e+17
- y tested = 4059018123.5159216
-y predicted = 5096465054.465148
-error 1.0762961345359689e+18
- y tested = 5947637003.818383
-y predicted = 4055560296.2191563
-error 3.5799542674395305e+18
- y tested = 997516184.7000968
-y predicted = 551832659.2421043
-error 1.986338048646651e+17
- y tested = 6532788063.289651
-y predicted = 6692145827.464995
-error 2.53948970029647e+16
- y tested = 1980229389.772511
-y predicted = 3488142231.9594216
-error 2.2738011396322068e+18
- y tested = 5035525633.343237
-y predicted = 5198180386.699948
-error 2.6456568789532616e+16
- y tested = 5026691733.102776
-y predicted = 5312548854.353077
-error 8.171429376950949e+16
- y tested = 1014996574.3865615
-y predicted = 1247931633.0676675
-error 5.425874156277028e+16
- y tested = 7665772326.561901
-y predicted = 6786009415.78025
-error 7.73982779187004e+17
- y tested = 3029054692.61153
-y predicted = 4756339575.572395
-error 2.983513066905131e+18
- y tested = 4062233415.93208
-y predicted = 4797286505.810378
-error 5.4030304493963366e+17
- y tested = 5822958761.806049
-y predicted = 6321635192.508202
-error 2.4867818253783846e+17
- y tested = 6611133148.221605
-y predicted = 6345143691.791043
-error 7.075039093222585e+16
- y tested = 5377240292.736961
-y predicted = 3028460091.2827406
-error 5.51676843474333e+18
-error squared vector [2.654276625060573e+18, 1.7846279092258847e+18, 4.350596284581816e+17, 3.284322652043715e+18, 7.428918060837755e+16, 5.451103172363992e+17, 1.0762961345359689e+18, 3.5799542674395305e+18, 1.986338048646651e+17, 2.53948970029647e+16, 2.2738011396322068e+18, 2.6456568789532616e+16, 8.171429376950949e+16, 5.425874156277028e+16, 7.73982779187004e+17, 2.983513066905131e+18, 5.4030304493963366e+17, 2.4867818253783846e+17, 7.075039093222585e+16, 5.51676843474333e+18]
-Total loo_error 1.311409602973772e+18
-iteration 244current difference of loo_error -5567366464768.0
- getting loo error of with lamda = 0.013582050831536241, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+Train set energy by workload : [7.28268469e+09 4.05901812e+09 5.82139946e+09 5.37724029e+09
+ 4.80910267e+09 5.72413122e+09 5.07215135e+09 9.94906081e+08
+ 2.90539736e+09 6.47324607e+09 7.24984413e+09 5.78961690e+09
+ 5.04060205e+09 1.99885665e+09 8.32112901e+09 6.53949528e+09
+ 4.06223342e+09 6.53278806e+09 3.99867244e+09 3.14516839e+09
+ 6.44857583e+09 8.22442820e+09 2.99152203e+09 9.22994564e+09
+ 9.97516185e+08 6.92827846e+09 5.32660051e+09 4.15349662e+09
+ 7.65005585e+09 9.08067270e+09 1.98022939e+09 4.14998029e+09
+ 6.54000850e+09 1.01499657e+09 6.80614731e+09 5.54942036e+09
+ 7.66577233e+09 3.33104602e+09]
+Test set Configurations : [[1.0, 0, 1, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [2.0, 1, 0, 0, 0, 0.0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0.0, 0, 0, 0, 1], [0.0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [1.0, 1, 0, 0, 1, 1.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 0, 1, 0, 1, 0.0, 1, 0, 1, 0], [1.0, 1, 1, 0, 0, 1.0, 1, 0, 0, 0], [2.0, 0, 1, 0, 1, 0.0, 0, 1, 0, 0], [1.0, 1, 0, 0, 1, 0.0, 1, 0, 0, 1], [0.0, 1, 0, 0, 1, 1.0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2.0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2.0, 1, 0, 0, 0], [2.0, 1, 1, 0, 0, 0.0, 1, 0, 0, 0], [0.0, 0, 1, 0, 1, 1.0, 1, 0, 1, 0], [2.0, 1, 0, 0, 0, 1.0, 1, 1, 0, 0], [0.0, 0, 0, 0, 1, 1.0, 0, 1, 0, 0], [2.0, 1, 1, 1, 0, 2.0, 1, 0, 0, 0]]
+Test set energy by workload : [8895689149.038376, 5947637003.818383, 6443423519.784533, 3321398441.599851, 2018619748.5607243, 7263008047.412917, 5026691733.102776, 8236960890.90969, 5035525633.343237, 6956231392.081026, 8795770993.306417, 9166575000.916658, 0.08333333333333333, 1016987763.6032282, 3307720550.5370083, 5058399218.983161, 8367150566.874451, 6519117311.516021, 4385426351.149858, 5822958761.806049]
+Train set Configurations in user friendly mode : ['0220-1001', '3000-2000', '0110-0020', '3330-0000', '0030-2000', '0000-2200', '3300-3000', '0030-0000', '1110-0000', '3000-3300', '0022-0030', '0000-3300', '0220-0020', '2200-0000', '3303-0001', '2000-2200', '1000-1000', '0010-3300', '0020-0010', '0000-1000', '1000-1100', '3000-3330', '2220-0000', '3330-2220', '1000-0000', '0303-1000', '3000-1000', '2000-2000', '0011-1100', '1111-0101', '3300-0000', '3000-3000', '0200-1100', '2000-0000', '0003-1001', '0101-0200', '0000-3330', '0000-2000']
+Test set Configurations in user friendly mode : ['0202-1001', '1100-1000', '3000-1100', '0000-0001', '1100-0000', '2002-2000', '3300-2000', '0303-1010', '2200-2000', '0303-0100', '2002-1001', '1001-2220', '0000-0000', '3000-0000', '0000-3000', '3300-1000', '0101-2020', '3000-2200', '0001-0200', '3330-3000']
+Size of X_train: 38
+Size of X_test: 20
+ ***** Training the datas *****
+ **** Predicted y test = [8.12426728e+09 4.40116220e+09 6.34101576e+09 2.63283029e+09
+ 2.02563998e+09 6.31518758e+09 5.36773409e+09 7.88859602e+09
+ 5.09458256e+09 6.14736991e+09 7.85871654e+09 9.25246315e+09
+ 8.58239102e+08 1.95449313e+09 3.86968319e+09 5.33863303e+09
+ 7.64976951e+09 6.52412922e+09 5.21326796e+09 5.99875656e+09]
+Start computin r squared, result =
+column mean vector= [5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385]
+ diff with mean vector [ 3.31642455e+09 3.68372400e+08 8.64158916e+08 -2.25786616e+09
+ -3.56064486e+09 1.68374344e+09 -5.52572871e+08 2.65769629e+09
+ -5.43738971e+08 1.37696679e+09 3.21650639e+09 3.58731040e+09
+ -5.57926460e+09 -4.56227684e+09 -2.27154405e+09 -5.20865385e+08
+ 2.78788596e+09 9.39852708e+08 -1.19383825e+09 2.43694158e+08]
+ diff with mean vector squared [1.09986718e+19 1.35698225e+17 7.46770632e+17 5.09795961e+18
+ 1.26781918e+19 2.83499198e+18 3.05336778e+17 7.06334955e+18
+ 2.95652068e+17 1.89603754e+18 1.03459134e+19 1.28687959e+19
+ 3.11281935e+19 2.08143700e+19 5.15991239e+18 2.71300749e+17
+ 7.77230814e+18 8.83323112e+17 1.42524977e+18 5.93868426e+16]
+ diff with predicted vector [ 7.71421865e+08 1.54647481e+09 1.02407760e+08 6.88568152e+08
+ -7.02023594e+06 9.47820466e+08 -3.41042355e+08 3.48364871e+08
+ -5.90569222e+07 8.08861484e+08 9.37054453e+08 -8.58881499e+07
+ -8.58239101e+08 -9.37505370e+08 -5.61962636e+08 -2.80233812e+08
+ 7.17381056e+08 -5.01190493e+06 -8.27841612e+08 -1.75797801e+08]
+ diff with predicted vector squared [5.95091694e+17 2.39158433e+18 1.04873494e+16 4.74126100e+17
+ 4.92837127e+13 8.98363635e+17 1.16309888e+17 1.21358083e+17
+ 3.48772006e+15 6.54256901e+17 8.78071049e+17 7.37677430e+15
+ 7.36574355e+17 8.78916318e+17 3.15802004e+17 7.85309891e+16
+ 5.14635579e+17 2.51191910e+13 6.85321734e+17 3.09048669e+16]
+End computing r squared, result = 0.9292726781781174
+ Kernel ridge R2 score = 0.9292726781781174
+printing plots
+Start computin r squared, result =
+column mean vector= [5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385]
+ diff with mean vector [ 3.31642455e+09 3.68372400e+08 8.64158916e+08 -2.25786616e+09
+ -3.56064486e+09 1.68374344e+09 -5.52572871e+08 2.65769629e+09
+ -5.43738971e+08 1.37696679e+09 3.21650639e+09 3.58731040e+09
+ -5.57926460e+09 -4.56227684e+09 -2.27154405e+09 -5.20865385e+08
+ 2.78788596e+09 9.39852708e+08 -1.19383825e+09 2.43694158e+08]
+ diff with mean vector squared [1.09986718e+19 1.35698225e+17 7.46770632e+17 5.09795961e+18
+ 1.26781918e+19 2.83499198e+18 3.05336778e+17 7.06334955e+18
+ 2.95652068e+17 1.89603754e+18 1.03459134e+19 1.28687959e+19
+ 3.11281935e+19 2.08143700e+19 5.15991239e+18 2.71300749e+17
+ 7.77230814e+18 8.83323112e+17 1.42524977e+18 5.93868426e+16]
+ diff with predicted vector [ 7.71421865e+08 1.54647481e+09 1.02407760e+08 6.88568152e+08
+ -7.02023594e+06 9.47820466e+08 -3.41042355e+08 3.48364871e+08
+ -5.90569222e+07 8.08861484e+08 9.37054453e+08 -8.58881499e+07
+ -8.58239101e+08 -9.37505370e+08 -5.61962636e+08 -2.80233812e+08
+ 7.17381056e+08 -5.01190493e+06 -8.27841612e+08 -1.75797801e+08]
+ diff with predicted vector squared [5.95091694e+17 2.39158433e+18 1.04873494e+16 4.74126100e+17
+ 4.92837127e+13 8.98363635e+17 1.16309888e+17 1.21358083e+17
+ 3.48772006e+15 6.54256901e+17 8.78071049e+17 7.37677430e+15
+ 7.36574355e+17 8.78916318e+17 3.15802004e+17 7.85309891e+16
+ 5.14635579e+17 2.51191910e+13 6.85321734e+17 3.09048669e+16]
+End computing r squared, result = 0.9292726781781174
+Start computin r squared, result =
+column mean vector= [5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385]
+ diff with mean vector [ 3.31642455e+09 3.68372400e+08 8.64158916e+08 -2.25786616e+09
+ -3.56064486e+09 1.68374344e+09 -5.52572871e+08 2.65769629e+09
+ -5.43738971e+08 1.37696679e+09 3.21650639e+09 3.58731040e+09
+ -5.57926460e+09 -4.56227684e+09 -2.27154405e+09 -5.20865385e+08
+ 2.78788596e+09 9.39852708e+08 -1.19383825e+09 2.43694158e+08]
+ diff with mean vector squared [1.09986718e+19 1.35698225e+17 7.46770632e+17 5.09795961e+18
+ 1.26781918e+19 2.83499198e+18 3.05336778e+17 7.06334955e+18
+ 2.95652068e+17 1.89603754e+18 1.03459134e+19 1.28687959e+19
+ 3.11281935e+19 2.08143700e+19 5.15991239e+18 2.71300749e+17
+ 7.77230814e+18 8.83323112e+17 1.42524977e+18 5.93868426e+16]
+ diff with predicted vector [ 7.71421865e+08 1.54647481e+09 1.02407760e+08 6.88568152e+08
+ -7.02023594e+06 9.47820466e+08 -3.41042355e+08 3.48364871e+08
+ -5.90569222e+07 8.08861484e+08 9.37054453e+08 -8.58881499e+07
+ -8.58239101e+08 -9.37505370e+08 -5.61962636e+08 -2.80233812e+08
+ 7.17381056e+08 -5.01190493e+06 -8.27841612e+08 -1.75797801e+08]
+ diff with predicted vector squared [5.95091694e+17 2.39158433e+18 1.04873494e+16 4.74126100e+17
+ 4.92837127e+13 8.98363635e+17 1.16309888e+17 1.21358083e+17
+ 3.48772006e+15 6.54256901e+17 8.78071049e+17 7.37677430e+15
+ 7.36574355e+17 8.78916318e+17 3.15802004e+17 7.85309891e+16
+ 5.14635579e+17 2.51191910e+13 6.85321734e+17 3.09048669e+16]
+End computing r squared, result = 0.9292726781781174
+Start computin r squared, result =
+column mean vector= [5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385]
+ diff with mean vector [ 3.31642455e+09 3.68372400e+08 8.64158916e+08 -2.25786616e+09
+ -3.56064486e+09 1.68374344e+09 -5.52572871e+08 2.65769629e+09
+ -5.43738971e+08 1.37696679e+09 3.21650639e+09 3.58731040e+09
+ -5.57926460e+09 -4.56227684e+09 -2.27154405e+09 -5.20865385e+08
+ 2.78788596e+09 9.39852708e+08 -1.19383825e+09 2.43694158e+08]
+ diff with mean vector squared [1.09986718e+19 1.35698225e+17 7.46770632e+17 5.09795961e+18
+ 1.26781918e+19 2.83499198e+18 3.05336778e+17 7.06334955e+18
+ 2.95652068e+17 1.89603754e+18 1.03459134e+19 1.28687959e+19
+ 3.11281935e+19 2.08143700e+19 5.15991239e+18 2.71300749e+17
+ 7.77230814e+18 8.83323112e+17 1.42524977e+18 5.93868426e+16]
+ diff with predicted vector [ 7.71421865e+08 1.54647481e+09 1.02407760e+08 6.88568152e+08
+ -7.02023594e+06 9.47820466e+08 -3.41042355e+08 3.48364871e+08
+ -5.90569222e+07 8.08861484e+08 9.37054453e+08 -8.58881499e+07
+ -8.58239101e+08 -9.37505370e+08 -5.61962636e+08 -2.80233812e+08
+ 7.17381056e+08 -5.01190493e+06 -8.27841612e+08 -1.75797801e+08]
+ diff with predicted vector squared [5.95091694e+17 2.39158433e+18 1.04873494e+16 4.74126100e+17
+ 4.92837127e+13 8.98363635e+17 1.16309888e+17 1.21358083e+17
+ 3.48772006e+15 6.54256901e+17 8.78071049e+17 7.37677430e+15
+ 7.36574355e+17 8.78916318e+17 3.15802004e+17 7.85309891e+16
+ 5.14635579e+17 2.51191910e+13 6.85321734e+17 3.09048669e+16]
+End computing r squared, result = 0.9292726781781174
+ R2 error = 0.9292726781781174
+ --- Actual line: ['samsung_galaxy_s8', 'samsung_galaxy_s8_format', False, False, 1000, 0.049940597311979425, False, '----', 0, 1000000000.0, 1000000000.0, 1e-09, 1000, 0.1, 100, False, 0.9292726781781174, 10, 10, 'base_Y']
+Computed c values = [[ 4.36995901e+09]
+ [-9.26506201e+09]
+ [ 1.22359401e+10]
+ [ 2.73209958e+10]
+ [ 2.81412985e+09]
+ [ 3.35581350e+08]
+ [-4.98762505e+08]
+ [-2.13241898e+10]
+ [-5.02813389e+09]
+ [ 3.31651929e+09]
+ [ 8.31449980e+09]
+ [ 6.87923912e+08]
+ [-7.32812115e+09]
+ [-9.93991268e+09]
+ [ 1.99710954e+10]
+ [ 1.00683396e+08]
+ [ 6.37068105e+09]
+ [-9.50721078e+08]
+ [ 4.48058402e+09]
+ [-1.97031784e+09]
+ [ 1.12352368e+10]
+ [ 7.71340082e+09]
+ [-1.26592608e+10]
+ [-2.73332892e+09]
+ [-5.93829878e+09]
+ [ 5.91350671e+09]
+ [ 1.88367740e+10]
+ [-4.05068112e+09]
+ [ 3.03241583e+08]
+ [ 7.77014336e+09]
+ [-2.02777364e+10]
+ [-5.75568453e+09]
+ [ 4.01750791e+09]
+ [-1.11797986e+10]
+ [-6.22928525e+09]
+ [-5.98313168e+09]
+ [ 3.45720648e+09]
+ [-6.12646325e+09]]
+ ***** START computing marginal effects with matrix*****
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1619818940.494477
-error 2.6238133997146803e+18
- y tested = 5326600510.288329
-y predicted = 3992271361.6059585
-error 1.7804342770234202e+18
- y tested = 5072151352.996373
-y predicted = 4400175727.690281
-error 4.515512410055137e+17
- y tested = 7650055845.407672
-y predicted = 5850929125.181534
-error 3.2368569554316605e+18
- y tested = 5789616901.049658
-y predicted = 6065760510.432767
-error 7.625529300313114e+16
- y tested = 8224428196.629629
-y predicted = 7498814567.483189
-error 5.265151388030681e+17
- y tested = 4059018123.5159216
-y predicted = 5094617390.537151
-error 1.0724658418549083e+18
- y tested = 5947637003.818383
-y predicted = 4058868371.2883167
-error 3.5674469472294973e+18
- y tested = 997516184.7000968
-y predicted = 539017650.1495777
-error 2.1022090618497357e+17
- y tested = 6532788063.289651
-y predicted = 6678839169.045501
-error 2.133092549250643e+16
- y tested = 1980229389.772511
-y predicted = 3497811248.974716
-error 2.3030546993796216e+18
- y tested = 5035525633.343237
-y predicted = 5192395935.625586
-error 2.4608291738155436e+16
- y tested = 5026691733.102776
-y predicted = 5313353452.900473
-error 8.217494159737339e+16
- y tested = 1014996574.3865615
-y predicted = 1236833186.8119836
-error 4.921148261238693e+16
- y tested = 7665772326.561901
-y predicted = 6794864444.28193
-error 7.584805394173841e+17
- y tested = 3029054692.61153
-y predicted = 4767990642.502226
-error 3.023898237822257e+18
- y tested = 4062233415.93208
-y predicted = 4814337507.186214
-error 5.656605640812077e+17
- y tested = 5822958761.806049
-y predicted = 6335280699.779769
-error 2.6247376812914778e+17
- y tested = 6611133148.221605
-y predicted = 6345326504.464249
-error 7.06531718655503e+16
- y tested = 5377240292.736961
-y predicted = 3027546712.3058577
-error 5.52105992191914e+18
-error squared vector [2.6238133997146803e+18, 1.7804342770234202e+18, 4.515512410055137e+17, 3.2368569554316605e+18, 7.625529300313114e+16, 5.265151388030681e+17, 1.0724658418549083e+18, 3.5674469472294973e+18, 2.1022090618497357e+17, 2.133092549250643e+16, 2.3030546993796216e+18, 2.4608291738155436e+16, 8.217494159737339e+16, 4.921148261238693e+16, 7.584805394173841e+17, 3.023898237822257e+18, 5.656605640812077e+17, 2.6247376812914778e+17, 7.06531718655503e+16, 5.52105992191914e+18]
-Total loo_error 1.3114083272152794e+18
-iteration 245current difference of loo_error 1275758492672.0
- getting loo error of with lamda = 0.014097831969846559, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1628912145.8958356
-error 2.653354778775491e+18
- y tested = 5326600510.288329
-y predicted = 3990748453.5909357
-error 1.784500717382656e+18
- y tested = 5072151352.996373
-y predicted = 4412191169.811386
-error 4.3554744338956166e+17
- y tested = 7650055845.407672
-y predicted = 5838181790.945098
-error 3.2828875892346465e+18
- y tested = 5789616901.049658
-y predicted = 6062280427.390373
-error 7.4345398596554e+16
- y tested = 8224428196.629629
-y predicted = 7486494768.795227
-error 5.445457439154307e+17
- y tested = 4059018123.5159216
-y predicted = 5096409578.456232
-error 1.0761810307831743e+18
- y tested = 5947637003.818383
-y predicted = 4055662406.850275
-error 3.579567875572635e+18
- y tested = 997516184.7000968
-y predicted = 551447071.1461179
-error 1.9897765406683254e+17
- y tested = 6532788063.289651
-y predicted = 6691754044.505968
-error 2.5270183184066504e+16
- y tested = 1980229389.772511
-y predicted = 3488429284.939695
-error 2.2746669237823045e+18
- y tested = 5035525633.343237
-y predicted = 5198009699.258236
-error 2.6401071676269744e+16
- y tested = 5026691733.102776
-y predicted = 5312572678.884972
-error 8.172791516132291e+16
- y tested = 1014996574.3865615
-y predicted = 1247598003.4688838
-error 5.4103424811138584e+16
- y tested = 7665772326.561901
-y predicted = 6786275304.368131
-error 7.735150120477094e+17
- y tested = 3029054692.61153
-y predicted = 4756686978.699329
-error 2.9847133159329567e+18
- y tested = 4062233415.93208
-y predicted = 4797794078.924752
-error 5.4104948894221984e+17
- y tested = 5822958761.806049
-y predicted = 6322036955.68951
-error 2.4907904360997747e+17
- y tested = 6611133148.221605
-y predicted = 6345149102.367577
-error 7.074751264887804e+16
- y tested = 5377240292.736961
-y predicted = 3028434736.4929132
-error 5.516887541042912e+18
-error squared vector [2.653354778775491e+18, 1.784500717382656e+18, 4.3554744338956166e+17, 3.2828875892346465e+18, 7.4345398596554e+16, 5.445457439154307e+17, 1.0761810307831743e+18, 3.579567875572635e+18, 1.9897765406683254e+17, 2.5270183184066504e+16, 2.2746669237823045e+18, 2.6401071676269744e+16, 8.172791516132291e+16, 5.4103424811138584e+16, 7.735150120477094e+17, 2.9847133159329567e+18, 5.4104948894221984e+17, 2.4907904360997747e+17, 7.074751264887804e+16, 5.516887541042912e+18]
-Total loo_error 1.311403483227837e+18
-iteration 246current difference of loo_error -4843987442432.0
- getting loo error of with lamda = 0.01359768056300019, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1620095614.056006
-error 2.624709798413491e+18
- y tested = 5326600510.288329
-y predicted = 3992225230.5186
-error 1.780557387260543e+18
- y tested = 5072151352.996373
-y predicted = 4400545246.300864
-error 4.510547625506994e+17
- y tested = 7650055845.407672
-y predicted = 5850540672.267292
-error 3.2382548583624515e+18
- y tested = 5789616901.049658
-y predicted = 6065649751.036855
-error 7.619413427205435e+16
- y tested = 8224428196.629629
-y predicted = 7498438886.329726
-error 5.270604786697287e+17
- y tested = 4059018123.5159216
-y predicted = 5094672183.201609
-error 1.0725793313434446e+18
- y tested = 5947637003.818383
-y predicted = 4058773041.073742
-error 3.5678070697553894e+18
- y tested = 997516184.7000968
-y predicted = 539396915.4965158
-error 2.098732648156232e+17
- y tested = 6532788063.289651
-y predicted = 6679241586.806415
-error 2.1448634550475256e+16
- y tested = 1980229389.772511
-y predicted = 3497521263.283116
-error 2.3021746294213212e+18
- y tested = 5035525633.343237
-y predicted = 5192570478.248192
-error 2.4663083311221344e+16
- y tested = 5026691733.102776
-y predicted = 5313329248.302029
-error 8.216106511960205e+16
- y tested = 1014996574.3865615
-y predicted = 1237161950.3573425
-error 4.935745428023846e+16
- y tested = 7665772326.561901
-y predicted = 6794601851.756952
-error 7.5893799617188e+17
- y tested = 3029054692.61153
-y predicted = 4767642662.055812
-error 3.0226881274963917e+18
- y tested = 4062233415.93208
-y predicted = 4813827422.730275
-error 5.6489355105496576e+17
- y tested = 5822958761.806049
-y predicted = 6334868036.808579
-error 2.62051105833616e+17
- y tested = 6611133148.221605
-y predicted = 6345321011.115704
-error 7.0656092232806696e+16
- y tested = 5377240292.736961
-y predicted = 3027575875.73651
-error 5.520922872518072e+18
-error squared vector [2.624709798413491e+18, 1.780557387260543e+18, 4.510547625506994e+17, 3.2382548583624515e+18, 7.619413427205435e+16, 5.270604786697287e+17, 1.0725793313434446e+18, 3.5678070697553894e+18, 2.098732648156232e+17, 2.1448634550475256e+16, 2.3021746294213212e+18, 2.4663083311221344e+16, 8.216106511960205e+16, 4.935745428023846e+16, 7.5893799617188e+17, 3.0226881274963917e+18, 5.6489355105496576e+17, 2.62051105833616e+17, 7.0656092232806696e+16, 5.520922872518072e+18]
-Total loo_error 1.311402284871701e+18
-iteration 247current difference of loo_error 1198356135936.0
- getting loo error of with lamda = 0.01408267586660879, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+ ***** START in function marginal_effect *****
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1628646027.4210105
-error 2.652487882362798e+18
- y tested = 5326600510.288329
-y predicted = 3990793217.615209
-error 1.7843811231586906e+18
- y tested = 5072151352.996373
-y predicted = 4411843239.286837
-error 4.360068050306463e+17
- y tested = 7650055845.407672
-y predicted = 5838554260.780032
-error 3.28153799110845e+18
- y tested = 5789616901.049658
-y predicted = 6062377685.864372
-error 7.439844573273894e+16
- y tested = 8224428196.629629
-y predicted = 7486854519.575814
-error 5.4401492908268525e+17
- y tested = 4059018123.5159216
-y predicted = 5096357384.449198
-error 1.0760727422735956e+18
- y tested = 5947637003.818383
-y predicted = 4055758320.1053834
-error 3.579204953887633e+18
- y tested = 997516184.7000968
-y predicted = 551084343.4127071
-error 1.9930138891524915e+17
- y tested = 6532788063.289651
-y predicted = 6691385010.166233
-error 2.515299155857342e+16
- y tested = 1980229389.772511
-y predicted = 3488699538.1568203
-error 2.27548218856658e+18
- y tested = 5035525633.343237
-y predicted = 5197848943.541175
-error 2.634885703361599e+16
- y tested = 5026691733.102776
-y predicted = 5312595111.967081
-error 8.174074204602661e+16
- y tested = 1014996574.3865615
-y predicted = 1247284136.056696
-error 5.3957511306656504e+16
- y tested = 7665772326.561901
-y predicted = 6786525461.144791
-error 7.730750503458143e+17
- y tested = 3029054692.61153
-y predicted = 4757013961.693002
-error 2.9858432356045747e+18
- y tested = 4062233415.93208
-y predicted = 4798271865.456555
-error 5.41752599178394e+17
- y tested = 5822958761.806049
-y predicted = 6322415390.457289
-error 2.4945692390366205e+17
- y tested = 6611133148.221605
-y predicted = 6345154197.575514
-error 7.074480218679596e+16
- y tested = 5377240292.736961
-y predicted = 3028410766.558512
-error 5.517000143047678e+18
-error squared vector [2.652487882362798e+18, 1.7843811231586906e+18, 4.360068050306463e+17, 3.28153799110845e+18, 7.439844573273894e+16, 5.4401492908268525e+17, 1.0760727422735956e+18, 3.579204953887633e+18, 1.9930138891524915e+17, 2.515299155857342e+16, 2.27548218856658e+18, 2.634885703361599e+16, 8.174074204602661e+16, 5.3957511306656504e+16, 7.730750503458143e+17, 2.9858432356045747e+18, 5.41752599178394e+17, 2.4945692390366205e+17, 7.074480218679596e+16, 5.517000143047678e+18]
-Total loo_error 1.311398065316543e+18
-iteration 248current difference of loo_error -4219555158016.0
- getting loo error of with lamda = 0.01361237739038227, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1620355709.2730222
-error 2.6255526243036196e+18
- y tested = 5326600510.288329
-y predicted = 3992181851.6866226
-error 1.7806731564243779e+18
- y tested = 5072151352.996373
-y predicted = 4400892393.538395
-error 4.505885906526077e+17
- y tested = 7650055845.407672
-y predicted = 5850175528.867135
-error 3.239569153870063e+18
- y tested = 5789616901.049658
-y predicted = 6065545913.605943
-error 7.613681997028643e+16
- y tested = 8224428196.629629
-y predicted = 7498085764.239876
-error 5.275733290898634e+17
- y tested = 4059018123.5159216
-y predicted = 5094723677.787351
-error 1.0726859951486881e+18
- y tested = 5947637003.818383
-y predicted = 4058683293.5183086
-error 3.5681461196564183e+18
- y tested = 997516184.7000968
-y predicted = 539753392.2816314
-error 2.0954677412275114e+17
- y tested = 6532788063.289651
-y predicted = 6679619338.581685
-error 2.155942340388512e+16
- y tested = 1980229389.772511
-y predicted = 3497248915.1992936
-error 2.3013482405261007e+18
- y tested = 5035525633.343237
-y predicted = 5192734344.591948
-error 2.4714578892480476e+16
- y tested = 5026691733.102776
-y predicted = 5313306520.632512
-error 8.214803643071602e+16
- y tested = 1014996574.3865615
-y predicted = 1237470943.3026254
-error 4.9494844824600904e+16
- y tested = 7665772326.561901
-y predicted = 6794355065.663448
-error 7.59368042591762e+17
- y tested = 3029054692.61153
-y predicted = 4767315769.036924
-error 3.0215515698155715e+18
- y tested = 4062233415.93208
-y predicted = 4813348294.405896
-error 5.64173560664736e+17
- y tested = 5822958761.806049
-y predicted = 6334480667.743492
-error 2.6165466025387405e+17
- y tested = 6611133148.221605
-y predicted = 6345315852.119186
-error 7.065883490720105e+16
- y tested = 5377240292.736961
-y predicted = 3027603166.183638
-error 5.520794626477757e+18
-error squared vector [2.6255526243036196e+18, 1.7806731564243779e+18, 4.505885906526077e+17, 3.239569153870063e+18, 7.613681997028643e+16, 5.275733290898634e+17, 1.0726859951486881e+18, 3.5681461196564183e+18, 2.0954677412275114e+17, 2.155942340388512e+16, 2.3013482405261007e+18, 2.4714578892480476e+16, 8.214803643071602e+16, 4.9494844824600904e+16, 7.59368042591762e+17, 3.0215515698155715e+18, 5.64173560664736e+17, 2.6165466025387405e+17, 7.065883490720105e+16, 5.520794626477757e+18]
-Total loo_error 1.3113969491013678e+18
-iteration 249current difference of loo_error 1116215175168.0
- getting loo error of with lamda = 0.014068424397632229, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1628395733.4520996
-error 2.6516726644536023e+18
- y tested = 5326600510.288329
-y predicted = 3990835309.199399
-error 1.78426867244015e+18
- y tested = 5072151352.996373
-y predicted = 4411515798.244491
-error 4.364393362023276e+17
- y tested = 7650055845.407672
-y predicted = 5838904615.153967
-error 3.2802687788495094e+18
- y tested = 5789616901.049658
-y predicted = 6062469407.783958
-error 7.444849043119157e+16
- y tested = 8224428196.629629
-y predicted = 7487192921.50275
-error 5.435158508914046e+17
- y tested = 4059018123.5159216
-y predicted = 5096308279.929228
-error 1.0759708685919414e+18
- y tested = 5947637003.818383
-y predicted = 4055848417.4806695
-error 3.5788640553976453e+18
- y tested = 997516184.7000968
-y predicted = 550743129.2966845
-error 1.9960616303450054e+17
- y tested = 6532788063.289651
-y predicted = 6691037438.980962
-error 2.5042864906689656e+16
- y tested = 1980229389.772511
-y predicted = 3488953956.1159945
-error 2.2762498170883323e+18
- y tested = 5035525633.343237
-y predicted = 5197697555.9511175
-error 2.6299732482336412e+16
- y tested = 5026691733.102776
-y predicted = 5312616233.202835
-error 8.175281975746893e+16
- y tested = 1014996574.3865615
-y predicted = 1246988868.6656437
-error 5.3820424604872264e+16
- y tested = 7665772326.561901
-y predicted = 6786760809.14515
-error 7.72661247751299e+17
- y tested = 3029054692.61153
-y predicted = 4757321707.393269
-error 2.986906874382583e+18
- y tested = 4062233415.93208
-y predicted = 4798721585.167984
-error 5.424148234244539e+17
- y tested = 5822958761.806049
-y predicted = 6322771815.082608
-error 2.498130882256363e+17
- y tested = 6611133148.221605
-y predicted = 6345158995.34598
-error 7.0742249997906664e+16
- y tested = 5377240292.736961
-y predicted = 3028388113.3942
-error 5.51710656040324e+18
-error squared vector [2.6516726644536023e+18, 1.78426867244015e+18, 4.364393362023276e+17, 3.2802687788495094e+18, 7.444849043119157e+16, 5.435158508914046e+17, 1.0759708685919414e+18, 3.5788640553976453e+18, 1.9960616303450054e+17, 2.5042864906689656e+16, 2.2762498170883323e+18, 2.6299732482336412e+16, 8.175281975746893e+16, 5.3820424604872264e+16, 7.72661247751299e+17, 2.986906874382583e+18, 5.424148234244539e+17, 2.498130882256363e+17, 7.0742249997906664e+16, 5.51710656040324e+18]
-Total loo_error 1.3113932691658545e+18
-iteration 250current difference of loo_error -3679935513344.0
- getting loo error of with lamda = 0.013626196996662572, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+number of variables: 10
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1620600223.1468127
-error 2.6263450829933993e+18
- y tested = 5326600510.288329
-y predicted = 3992141060.9899178
-error 1.7807820218218194e+18
- y tested = 5072151352.996373
-y predicted = 4401218541.825059
-error 4.501508371062424e+17
- y tested = 7650055845.407672
-y predicted = 5849832289.3827095
-error 3.240804851667161e+18
- y tested = 5789616901.049658
-y predicted = 6065448548.252519
-error 7.608309759864349e+16
- y tested = 8224428196.629629
-y predicted = 7497753838.9170885
-error 5.2805562215693344e+17
- y tested = 4059018123.5159216
-y predicted = 5094772074.351069
-error 1.0727862466706179e+18
- y tested = 5947637003.818383
-y predicted = 4058598808.1395073
-error 3.568465304733703e+18
- y tested = 997516184.7000968
-y predicted = 540088458.3515117
-error 2.092401248324361e+17
- y tested = 6532788063.289651
-y predicted = 6679973972.836017
-error 2.1663691968990956e+16
- y tested = 1980229389.772511
-y predicted = 3496993113.4692664
-error 2.3005721935224474e+18
- y tested = 5035525633.343237
-y predicted = 5192888202.275544
-error 2.4762978100975148e+16
- y tested = 5026691733.102776
-y predicted = 5313285177.912183
-error 8.213580260772275e+16
- y tested = 1014996574.3865615
-y predicted = 1237761362.9182003
-error 4.962415100954573e+16
- y tested = 7665772326.561901
-y predicted = 6794123127.096265
-error 7.597723269290845e+17
- y tested = 3029054692.61153
-y predicted = 4767008667.484142
-error 3.020484018775513e+18
- y tested = 4062233415.93208
-y predicted = 4812898214.5553465
-error 5.634976398921096e+17
- y tested = 5822958761.806049
-y predicted = 6334117004.702605
-error 2.6128274928109443e+17
- y tested = 6611133148.221605
-y predicted = 6345311006.789684
-error 7.0661410875452216e+16
- y tested = 5377240292.736961
-y predicted = 3027628711.07379
-error 5.520674584685709e+18
-error squared vector [2.6263450829933993e+18, 1.7807820218218194e+18, 4.501508371062424e+17, 3.240804851667161e+18, 7.608309759864349e+16, 5.2805562215693344e+17, 1.0727862466706179e+18, 3.568465304733703e+18, 2.092401248324361e+17, 2.1663691968990956e+16, 2.3005721935224474e+18, 2.4762978100975148e+16, 8.213580260772275e+16, 4.962415100954573e+16, 7.597723269290845e+17, 3.020484018775513e+18, 5.634976398921096e+17, 2.6128274928109443e+17, 7.0661410875452216e+16, 5.520674584685709e+18]
-Total loo_error 1.3113922368614802e+18
-iteration 251current difference of loo_error 1032304374272.0
- getting loo error of with lamda = 0.014055023567299815, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1628160326.3286557
-error 2.650906047959275e+18
- y tested = 5326600510.288329
-y predicted = 3990874887.90777
-error 1.7841629382839316e+18
- y tested = 5072151352.996373
-y predicted = 4411207655.405119
-error 4.3684657138559936e+17
- y tested = 7650055845.407672
-y predicted = 5839234160.604503
-error 3.2790751741533885e+18
- y tested = 5789616901.049658
-y predicted = 6062555893.095484
-error 7.449569337899144e+16
- y tested = 8224428196.629629
-y predicted = 7487511234.5835495
-error 5.430466089512232e+17
- y tested = 4059018123.5159216
-y predicted = 5096262083.482085
-error 1.0758750324862885e+18
- y tested = 5947637003.818383
-y predicted = 4055933056.4090123
-error 3.578543824644196e+18
- y tested = 997516184.7000968
-y predicted = 550422160.4092686
-error 1.998930665565677e+17
- y tested = 6532788063.289651
-y predicted = 6690710114.050652
-error 2.493937411656006e+16
- y tested = 1980229389.772511
-y predicted = 3489193450.1112194
-error 2.276972535393881e+18
- y tested = 5035525633.343237
-y predicted = 5197555003.225911
-error 2.6253516704576456e+16
- y tested = 5026691733.102776
-y predicted = 5312636117.8283
-error 8.176419115605899e+16
- y tested = 1014996574.3865615
-y predicted = 1246711106.5064104
-error 5.369162439552046e+16
- y tested = 7665772326.561901
-y predicted = 6786982218.146244
-error 7.722720546492023e+17
- y tested = 3029054692.61153
-y predicted = 4757611332.114687
-error 2.9879080559704474e+18
- y tested = 4062233415.93208
-y predicted = 4799144861.763099
-error 5.4303847899676275e+17
- y tested = 5822958761.806049
-y predicted = 6323107477.5141325
-error 2.50148737824445e+17
- y tested = 6611133148.221605
-y predicted = 6345163512.645422
-error 7.073984704852776e+16
- y tested = 5377240292.736961
-y predicted = 3028366711.342766
-error 5.517207101371595e+18
-error squared vector [2.650906047959275e+18, 1.7841629382839316e+18, 4.3684657138559936e+17, 3.2790751741533885e+18, 7.449569337899144e+16, 5.430466089512232e+17, 1.0758750324862885e+18, 3.578543824644196e+18, 1.998930665565677e+17, 2.493937411656006e+16, 2.276972535393881e+18, 2.6253516704576456e+16, 8.176419115605899e+16, 5.369162439552046e+16, 7.722720546492023e+17, 2.9879080559704474e+18, 5.4303847899676275e+17, 2.50148737824445e+17, 7.073984704852776e+16, 5.517207101371595e+18]
-Total loo_error 1.3113890237713518e+18
-iteration 252current difference of loo_error -3213090128384.0
- getting loo error of with lamda = 0.013639191741227337, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1620830092.2992754
-error 2.6270901878327393e+18
- y tested = 5326600510.288329
-y predicted = 3992102704.0841393
-error 1.7808843947637952e+18
- y tested = 5072151352.996373
-y predicted = 4401524977.268867
-error 4.497397358214109e+17
- y tested = 7650055845.407672
-y predicted = 5849509633.767445
-error 3.241966660251974e+18
- y tested = 5789616901.049658
-y predicted = 6065357236.317973
-error 7.603273249388293e+16
- y tested = 8224428196.629629
-y predicted = 7497441831.224377
-error 5.2850917548513926e+17
- y tested = 4059018123.5159216
-y predicted = 5094817560.636885
-error 1.072880473940104e+18
- y tested = 5947637003.818383
-y predicted = 4058519282.058795
-error 3.568765766666137e+18
- y tested = 997516184.7000968
-y predicted = 540403407.2426984
-error 2.0895209131481706e+17
- y tested = 6532788063.289651
-y predicted = 6680306936.556501
-error 2.1761817969921092e+16
- y tested = 1980229389.772511
-y predicted = 3496752836.5015597
-error 2.299843364478954e+18
- y tested = 5035525633.343237
-y predicted = 5193032675.470409
-error 2.4808468319650884e+16
- y tested = 5026691733.102776
-y predicted = 5313265134.110167
-error 8.212431416494291e+16
- y tested = 1014996574.3865615
-y predicted = 1238034332.9981067
-error 4.97458417664619e+16
- y tested = 7665772326.561901
-y predicted = 6793905136.186284
-error 7.601523976534724e+17
- y tested = 3029054692.61153
-y predicted = 4766720143.20475
-error 3.019481218185339e+18
- y tested = 4062233415.93208
-y predicted = 4812475396.473829
-error 5.628630293672068e+17
- y tested = 5822958761.806049
-y predicted = 6333775563.864999
-error 2.6093380526573197e+17
- y tested = 6611133148.221605
-y predicted = 6345306455.757572
-error 7.066383042636765e+16
- y tested = 5377240292.736961
-y predicted = 3027652628.364113
-error 5.520562192573057e+18
-error squared vector [2.6270901878327393e+18, 1.7808843947637952e+18, 4.497397358214109e+17, 3.241966660251974e+18, 7.603273249388293e+16, 5.2850917548513926e+17, 1.072880473940104e+18, 3.568765766666137e+18, 2.0895209131481706e+17, 2.1761817969921092e+16, 2.299843364478954e+18, 2.4808468319650884e+16, 8.212431416494291e+16, 4.97458417664619e+16, 7.601523976534724e+17, 3.019481218185339e+18, 5.628630293672068e+17, 2.6093380526573197e+17, 7.066383042636765e+16, 5.520562192573057e+18]
-Total loo_error 1.3113880749370552e+18
-iteration 253current difference of loo_error 948834296576.0
- getting loo error of with lamda = 0.014042422602873375, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627938923.565066
-error 2.650185138586863e+18
- y tested = 5326600510.288329
-y predicted = 3990912103.7774014
-error 1.7840635192877012e+18
- y tested = 5072151352.996373
-y predicted = 4410917687.002042
-error 4.37229961044303e+17
- y tested = 7650055845.407672
-y predicted = 5839544127.246943
-error 3.277952681597313e+18
- y tested = 5789616901.049658
-y predicted = 6062637427.278561
-error 7.4540207742307e+16
- y tested = 8224428196.629629
-y predicted = 7487810645.255176
-error 5.426054169928957e+17
- y tested = 4059018123.5159216
-y predicted = 5096218624.176198
-error 1.0757848785699281e+18
- y tested = 5947637003.818383
-y predicted = 4056012571.837654
-error 3.578242991666416e+18
- y tested = 997516184.7000968
-y predicted = 550120242.2711426
-error 2.0016312930189213e+17
- y tested = 6532788063.289651
-y predicted = 6690401883.857669
-error 2.484211643404736e+16
- y tested = 1980229389.772511
-y predicted = 3489418880.9071445
-error 2.277652920151214e+18
- y tested = 5035525633.343237
-y predicted = 5197420780.998755
-error 2.6210038834402148e+16
- y tested = 5026691733.102776
-y predicted = 5312654836.930805
-error 8.177489675096045e+16
- y tested = 1014996574.3865615
-y predicted = 1246449818.3709342
-error 5.3570604150889576e+16
- y tested = 7665772326.561901
-y predicted = 6787190507.634662
-error 7.719060125494966e+17
- y tested = 3029054692.61153
-y predicted = 4757883889.160498
-error 2.9888503908401495e+18
- y tested = 4062233415.93208
-y predicted = 4799543227.880917
-error 5.436257587960291e+17
- y tested = 5822958761.806049
-y predicted = 6323423558.645225
-error 2.5046501287527693e+17
- y tested = 6611133148.221605
-y predicted = 6345167765.520853
-error 7.073758479515761e+16
- y tested = 5377240292.736961
-y predicted = 3028346497.209975
-error 5.517302062665173e+18
-error squared vector [2.650185138586863e+18, 1.7840635192877012e+18, 4.37229961044303e+17, 3.277952681597313e+18, 7.4540207742307e+16, 5.426054169928957e+17, 1.0757848785699281e+18, 3.578242991666416e+18, 2.0016312930189213e+17, 2.484211643404736e+16, 2.277652920151214e+18, 2.6210038834402148e+16, 8.177489675096045e+16, 5.3570604150889576e+16, 7.719060125494966e+17, 2.9888503908401495e+18, 5.436257587960291e+17, 2.5046501287527693e+17, 7.073758479515761e+16, 5.517302062665173e+18]
-Total loo_error 1.3113852661816205e+18
-iteration 254current difference of loo_error -2808755434752.0
- getting loo error of with lamda = 0.013651410858246914, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621046196.6783962
-error 2.6277907714953196e+18
- y tested = 5326600510.288329
-y predicted = 3992066635.8187985
-error 1.7809806621066568e+18
- y tested = 5072151352.996373
-y predicted = 4401812905.34166
-error 4.4935363440413126e+17
- y tested = 7650055845.407672
-y predicted = 5849206322.22834
-error 3.243059005135227e+18
- y tested = 5789616901.049658
-y predicted = 6065271587.980961
-error 7.598550642719469e+16
- y tested = 8224428196.629629
-y predicted = 7497148540.003996
-error 5.28935698941499e+17
- y tested = 4059018123.5159216
-y predicted = 5094860312.855483
-error 1.0729690412157759e+18
- y tested = 5947637003.818383
-y predicted = 4058444429.134857
-error 3.56904858423937e+18
- y tested = 997516184.7000968
-y predicted = 540699453.4569173
-error 2.0868152594370336e+17
- y tested = 6532788063.289651
-y predicted = 6680619582.398206
-error 2.1854158041943016e+16
- y tested = 1980229389.772511
-y predicted = 3496527127.67168
-error 2.2991588299581368e+18
- y tested = 5035525633.343237
-y predicted = 5193168347.925134
-error 2.4851225460749372e+16
- y tested = 5026691733.102776
-y predicted = 5313246308.734244
-error 8.211352481533115e+16
- y tested = 1014996574.3865615
-y predicted = 1238290908.480266
-error 4.986035963835096e+16
- y tested = 7665772326.561901
-y predicted = 6793700248.365855
-error 7.605097095691703e+17
- y tested = 3029054692.61153
-y predicted = 4766449058.3656645
-error 3.018539182154212e+18
- y tested = 4062233415.93208
-y predicted = 4812078166.344377
-error 5.622671497208796e+17
- y tested = 5822958761.806049
-y predicted = 6333454958.143804
-error 2.6060636647531494e+17
- y tested = 6611133148.221605
-y predicted = 6345302180.881311
-error 7.066610319707639e+16
- y tested = 5377240292.736961
-y predicted = 3027675027.332364
-error 5.520456936395776e+18
-error squared vector [2.6277907714953196e+18, 1.7809806621066568e+18, 4.4935363440413126e+17, 3.243059005135227e+18, 7.598550642719469e+16, 5.28935698941499e+17, 1.0729690412157759e+18, 3.56904858423937e+18, 2.0868152594370336e+17, 2.1854158041943016e+16, 2.2991588299581368e+18, 2.4851225460749372e+16, 8.211352481533115e+16, 4.986035963835096e+16, 7.605097095691703e+17, 3.018539182154212e+18, 5.622671497208796e+17, 2.6060636647531494e+17, 7.066610319707639e+16, 5.520456936395776e+18]
-Total loo_error 1.311384398766791e+18
-iteration 255current difference of loo_error 867414829568.0
- getting loo error of with lamda = 0.01403057376212712, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627730694.6493614
-error 2.6495072140324045e+18
- y tested = 5326600510.288329
-y predicted = 3990947097.8855634
-error 1.7839700380631526e+18
- y tested = 5072151352.996373
-y predicted = 4410644833.15457
-error 4.3759087579321446e+17
- y tested = 7650055845.407672
-y predicted = 5839835673.154196
-error 3.276897072033405e+18
- y tested = 5789616901.049658
-y predicted = 6062714281.828843
-error 7.458217938845133e+16
- y tested = 8224428196.629629
-y predicted = 7488092270.588017
-error 5.421905959795578e+17
- y tested = 4059018123.5159216
-y predicted = 5096177740.976825
-error 1.075700072091647e+18
- y tested = 5947637003.818383
-y predicted = 4056087277.6962895
-error 3.577960366392568e+18
- y tested = 997516184.7000968
-y predicted = 549836250.1062127
-error 2.0041732383798435e+17
- y tested = 6532788063.289651
-y predicted = 6690111659.17373
-error 2.475071382189699e+16
- y tested = 1980229389.772511
-y predicted = 3489631061.318885
-error 2.2782934060669875e+18
- y tested = 5035525633.343237
-y predicted = 5197294412.401426
-error 2.6169137877977296e+16
- y tested = 5026691733.102776
-y predicted = 5312672457.659613
-error 8.178497481805352e+16
- y tested = 1014996574.3865615
-y predicted = 1246204033.0386322
-error 5.345688893634895e+16
- y tested = 7665772326.561901
-y predicted = 6787386449.622808
-error 7.715617488060588e+17
- y tested = 3029054692.61153
-y predicted = 4758140372.177552
-error 2.9897372872802934e+18
- y tested = 4062233415.93208
-y predicted = 4799918129.873937
-error 5.441787371834792e+17
- y tested = 5822958761.806049
-y predicted = 6323721175.486163
-error 2.507629949547334e+17
- y tested = 6611133148.221605
-y predicted = 6345171769.143409
-error 7.073545516117615e+16
- y tested = 5377240292.736961
-y predicted = 3028327410.28013
-error 5.51739172937166e+18
-error squared vector [2.6495072140324045e+18, 1.7839700380631526e+18, 4.3759087579321446e+17, 3.276897072033405e+18, 7.458217938845133e+16, 5.421905959795578e+17, 1.075700072091647e+18, 3.577960366392568e+18, 2.0041732383798435e+17, 2.475071382189699e+16, 2.2782934060669875e+18, 2.6169137877977296e+16, 8.178497481805352e+16, 5.345688893634895e+16, 7.715617488060588e+17, 2.9897372872802934e+18, 5.441787371834792e+17, 2.507629949547334e+17, 7.073545516117615e+16, 5.51739172937166e+18]
-Total loo_error 1.3113819405945523e+18
-iteration 256current difference of loo_error -2458172238592.0
- getting loo error of with lamda = 0.01366290064321298, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621249363.030439
-error 2.628449496856396e+18
- y tested = 5326600510.288329
-y predicted = 3992032719.6919174
-error 1.7810711876973878e+18
- y tested = 5072151352.996373
-y predicted = 4402083456.1547575
-error 4.489909863777461e+17
- y tested = 7650055845.407672
-y predicted = 5848921190.267369
-error 3.244086045947377e+18
- y tested = 5789616901.049658
-y predicted = 6065191240.07349
-error 7.594121632842208e+16
- y tested = 8224428196.629629
-y predicted = 7496872837.231536
-error 5.293368009888886e+17
- y tested = 4059018123.5159216
-y predicted = 5094900496.409395
-error 1.0730522904714135e+18
- y tested = 5947637003.818383
-y predicted = 4058373979.1280656
-error 3.569314776462008e+18
- y tested = 997516184.7000968
-y predicted = 540977737.3944736
-error 2.0842735386822938e+17
- y tested = 6532788063.289651
-y predicted = 6680913175.267993
-error 2.1941048798596372e+16
- y tested = 1980229389.772511
-y predicted = 3496315090.9741735
-error 2.2985158533881367e+18
- y tested = 5035525633.343237
-y predicted = 5193295765.756242
-error 2.4891414681617092e+16
- y tested = 5026691733.102776
-y predicted = 5313228626.450709
-error 8.210339124948517e+16
- y tested = 1014996574.3865615
-y predicted = 1238532079.766951
-error 4.996812216566618e+16
- y tested = 7665772326.561901
-y predicted = 6793507670.882716
-error 7.60845629547127e+17
- y tested = 3029054692.61153
-y predicted = 4766194346.472182
-error 3.0176541770151076e+18
- y tested = 4062233415.93208
-y predicted = 4811704955.756015
-error 5.617075890060602e+17
- y tested = 5822958761.806049
-y predicted = 6333153890.433447
-error 2.6029906927512672e+17
- y tested = 6611133148.221605
-y predicted = 6345298165.166444
-error 7.066823821593799e+16
- y tested = 5377240292.736961
-y predicted = 3027696009.291756
-error 5.520358339870043e+18
-error squared vector [2.628449496856396e+18, 1.7810711876973878e+18, 4.489909863777461e+17, 3.244086045947377e+18, 7.594121632842208e+16, 5.293368009888886e+17, 1.0730522904714135e+18, 3.569314776462008e+18, 2.0842735386822938e+17, 2.1941048798596372e+16, 2.2985158533881367e+18, 2.4891414681617092e+16, 8.210339124948517e+16, 4.996812216566618e+16, 7.60845629547127e+17, 3.0176541770151076e+18, 5.617075890060602e+17, 2.6029906927512672e+17, 7.066823821593799e+16, 5.520358339870043e+18]
-Total loo_error 1.311381151410539e+18
-iteration 257current difference of loo_error 789184013312.0
- getting loo error of with lamda = 0.014019432152463054, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627534858.0205922
-error 2.6488697138008535e+18
- y tested = 5326600510.288329
-y predicted = 3990980002.8857408
-error 1.7838821397943475e+18
- y tested = 5072151352.996373
-y predicted = 4410388094.413948
-error 4.3793061040962963e+17
- y tested = 7650055845.407672
-y predicted = 5840109888.497367
-error 3.2759043669359596e+18
- y tested = 5789616901.049658
-y predicted = 6062786714.750863
-error 7.462174711755118e+16
- y tested = 8224428196.629629
-y predicted = 7488357162.261447
-error 5.418005676358456e+17
- y tested = 4059018123.5159216
-y predicted = 5096139282.190544
-error 1.0756202977705916e+18
- y tested = 5947637003.818383
-y predicted = 4056157468.265427
-error 3.577694833415627e+18
- y tested = 997516184.7000968
-y predicted = 549569124.8616123
-error 2.0065656841794285e+17
- y tested = 6532788063.289651
-y predicted = 6689838410.062438
-error 2.4664811421452676e+16
- y tested = 1980229389.772511
-y predicted = 3489830758.6840243
-error 2.278896293019515e+18
- y tested = 5035525633.343237
-y predicted = 5197175446.716375
-error 2.6130662163570484e+16
- y tested = 5026691733.102776
-y predicted = 5312689043.426849
-error 8.179446151260456e+16
- y tested = 1014996574.3865615
-y predicted = 1245972835.8731666
-error 5.335003337032855e+16
- y tested = 7665772326.561901
-y predicted = 6787570771.316911
-error 7.712379716347199e+17
- y tested = 3029054692.61153
-y predicted = 4758381718.355767
-error 2.9905719619694106e+18
- y tested = 4062233415.93208
-y predicted = 4800270932.372601
-error 5.4469937567369197e+17
- y tested = 5822958761.806049
-y predicted = 6324001384.238403
-error 2.5104370949389043e+17
- y tested = 6611133148.221605
-y predicted = 6345175537.851065
-error 7.0733450514008296e+16
- y tested = 5377240292.736961
-y predicted = 3028309392.3111835
-error 5.517476374975056e+18
-error squared vector [2.6488697138008535e+18, 1.7838821397943475e+18, 4.3793061040962963e+17, 3.2759043669359596e+18, 7.462174711755118e+16, 5.418005676358456e+17, 1.0756202977705916e+18, 3.577694833415627e+18, 2.0065656841794285e+17, 2.4664811421452676e+16, 2.278896293019515e+18, 2.6130662163570484e+16, 8.179446151260456e+16, 5.335003337032855e+16, 7.712379716347199e+17, 2.9905719619694106e+18, 5.4469937567369197e+17, 2.5104370949389043e+17, 7.0733450514008296e+16, 5.517476374975056e+18]
-Total loo_error 1.31137899755233e+18
-iteration 258current difference of loo_error -2153858209024.0
- getting loo error of with lamda = 0.01367370462834177, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621440368.1550624
-error 2.6290688672125844e+18
- y tested = 5326600510.288329
-y predicted = 3992000827.335633
-error 1.7811563137374374e+18
- y tested = 5072151352.996373
-y predicted = 4402337689.362809
-error 4.486503439902172e+17
- y tested = 7650055845.407672
-y predicted = 5848653144.03721
-error 3.245051692504796e+18
- y tested = 5789616901.049658
-y predicted = 6065115854.082644
-error 7.589967312227178e+16
- y tested = 8224428196.629629
-y predicted = 7496613663.482238
-error 5.297139946605552e+17
- y tested = 4059018123.5159216
-y predicted = 5094938266.572558
-error 1.0731305427904828e+18
- y tested = 5947637003.818383
-y predicted = 4058307676.8935437
-error 3.569565305578267e+18
- y tested = 997516184.7000968
-y predicted = 541239329.9669064
-error 2.0818856816521296e+17
- y tested = 6532788063.289651
-y predicted = 6681188898.40175
-error 2.2022807861968304e+16
- y tested = 1980229389.772511
-y predicted = 3496115886.987951
-error 2.2979118724400955e+18
- y tested = 5035525633.343237
-y predicted = 5193415440.026726
-error 2.492919105454948e+16
- y tested = 5026691733.102776
-y predicted = 5313212016.734073
-error 8.209387293215894e+16
- y tested = 1014996574.3865615
-y predicted = 1238758776.7607708
-error 5.006952321135659e+16
- y tested = 7665772326.561901
-y predicted = 6793326659.542704
-error 7.611614419005724e+17
- y tested = 3029054692.61153
-y predicted = 4765955007.702434
-error 3.0168227045628805e+18
- y tested = 4062233415.93208
-y predicted = 4811354294.7584505
-error 5.61182091093594e+17
- y tested = 5822958761.806049
-y predicted = 6332871147.379189
-error 2.6001064096088976e+17
- y tested = 6611133148.221605
-y predicted = 6345294392.689875
-error 7.0670243942659256e+16
- y tested = 5377240292.736961
-y predicted = 3027715668.241003
-error 5.520265961112874e+18
-error squared vector [2.6290688672125844e+18, 1.7811563137374374e+18, 4.486503439902172e+17, 3.245051692504796e+18, 7.589967312227178e+16, 5.297139946605552e+17, 1.0731305427904828e+18, 3.569565305578267e+18, 2.0818856816521296e+17, 2.2022807861968304e+16, 2.2979118724400955e+18, 2.492919105454948e+16, 8.209387293215894e+16, 5.006952321135659e+16, 7.611614419005724e+17, 3.0168227045628805e+18, 5.61182091093594e+17, 2.6001064096088976e+17, 7.0670243942659256e+16, 5.520265961112874e+18]
-Total loo_error 1.311378282641771e+18
-iteration 259current difference of loo_error 714910558976.0
- getting loo error of with lamda = 0.014008955560823015, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627350678.2188094
-error 2.648270229627994e+18
- y tested = 5326600510.288329
-y predicted = 3991010943.510235
-error 1.7837994908864975e+18
- y tested = 5072151352.996373
-y predicted = 4410146528.473743
-error 4.3825038769123776e+17
- y tested = 7650055845.407672
-y predicted = 5840367799.456944
-error 3.274970823656962e+18
- y tested = 5789616901.049658
-y predicted = 6062854971.061384
-error 7.465904290373309e+16
- y tested = 8224428196.629629
-y predicted = 7488606310.318477
-error 5.414338483745026e+17
- y tested = 4059018123.5159216
-y predicted = 5096103104.93913
-error 1.0755452586935762e+18
- y tested = 5947637003.818383
-y predicted = 4056223419.4496565
-error 3.5774453471345546e+18
- y tested = 997516184.7000968
-y predicted = 549317869.4466785
-error 2.0088172979600256e+17
- y tested = 6532788063.289651
-y predicted = 6689581162.982921
-error 2.458407611142362e+16
- y tested = 1980229389.772511
-y predicted = 3490018697.233052
-error 2.2794637529221793e+18
- y tested = 5035525633.343237
-y predicted = 5197063458.076039
-error 2.6094468819405584e+16
- y tested = 5026691733.102776
-y predicted = 5312704654.101202
-error 8.180339097805213e+16
- y tested = 1014996574.3865615
-y predicted = 1245755365.6045778
-error 5.3249619724400024e+16
- y tested = 7665772326.561901
-y predicted = 6787744157.645248
-error 7.7093346541113e+17
- y tested = 3029054692.61153
-y predicted = 4758608811.475893
-error 2.9913574500806835e+18
- y tested = 4062233415.93208
-y predicted = 4800602922.643415
-error 5.451895284411412e+17
- y tested = 5822958761.806049
-y predicted = 6324265183.267609
-error 2.5130812819859453e+17
- y tested = 6611133148.221605
-y predicted = 6345179085.189644
-error 7.073156364320852e+16
- y tested = 5377240292.736961
-y predicted = 3028292387.5155287
-error 5.517556261444156e+18
-error squared vector [2.648270229627994e+18, 1.7837994908864975e+18, 4.3825038769123776e+17, 3.274970823656962e+18, 7.465904290373309e+16, 5.414338483745026e+17, 1.0755452586935762e+18, 3.5774453471345546e+18, 2.0088172979600256e+17, 2.458407611142362e+16, 2.2794637529221793e+18, 2.6094468819405584e+16, 8.180339097805213e+16, 5.3249619724400024e+16, 7.7093346541113e+17, 2.9913574500806835e+18, 5.451895284411412e+17, 2.5130812819859453e+17, 7.073156364320852e+16, 5.517556261444156e+18]
-Total loo_error 1.3113763932269716e+18
-iteration 260current difference of loo_error -1889414799360.0
- getting loo error of with lamda = 0.013683863747507867, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621619941.9563186
-error 2.6296512358801444e+18
- y tested = 5326600510.288329
-y predicted = 3991970838.032379
-error 1.7812363620660244e+18
- y tested = 5072151352.996373
-y predicted = 4402576598.726541
-error 4.4833035155550675e+17
- y tested = 7650055845.407672
-y predicted = 5848401155.991825
-error 3.245959619894111e+18
- y tested = 5789616901.049658
-y predicted = 6065045114.322562
-error 7.586070066670451e+16
- y tested = 8224428196.629629
-y predicted = 7496370023.687296
-error 5.300687031881284e+17
- y tested = 4059018123.5159216
-y predicted = 5094973769.124188
-error 1.073204099667641e+18
- y tested = 5947637003.818383
-y predicted = 4058245281.604755
-error 3.5698010799693804e+18
- y tested = 997516184.7000968
-y predicted = 541485236.9105716
-error 2.0796422534181274e+17
- y tested = 6532788063.289651
-y predicted = 6681447858.975749
-error 2.209973485343243e+16
- y tested = 1980229389.772511
-y predicted = 3495928729.1330867
-error 2.2973444873380856e+18
- y tested = 5035525633.343237
-y predicted = 5193527849.130853
-error 2.49647001937963e+16
- y tested = 5026691733.102776
-y predicted = 5313196413.541409
-error 8.20849319132432e+16
- y tested = 1014996574.3865615
-y predicted = 1238971872.6385205
-error 5.0164934227053976e+16
- y tested = 7665772326.561901
-y predicted = 6793156515.667238
-error 7.6145835342335e+17
- y tested = 3029054692.61153
-y predicted = 4765730104.569231
-error 3.016041486498451e+18
- y tested = 4062233415.93208
-y predicted = 4811024805.409135
-error 5.6068854495497875e+17
- y tested = 5822958761.806049
-y predicted = 6332605593.621498
-error 2.5973989317952432e+17
- y tested = 6611133148.221605
-y predicted = 6345290848.5303955
-error 7.0672128305111e+16
- y tested = 5377240292.736961
-y predicted = 3027734091.4511733
-error 5.520179389880374e+18
-error squared vector [2.6296512358801444e+18, 1.7812363620660244e+18, 4.4833035155550675e+17, 3.245959619894111e+18, 7.586070066670451e+16, 5.300687031881284e+17, 1.073204099667641e+18, 3.5698010799693804e+18, 2.0796422534181274e+17, 2.209973485343243e+16, 2.2973444873380856e+18, 2.49647001937963e+16, 8.20849319132432e+16, 5.0164934227053976e+16, 7.6145835342335e+17, 3.016041486498451e+18, 5.6068854495497875e+17, 2.5973989317952432e+17, 7.0672128305111e+16, 5.520179389880374e+18]
-Total loo_error 1.3113757481498424e+18
-iteration 261current difference of loo_error 645077129216.0
- getting loo error of with lamda = 0.013999104293752859, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627177463.1969519
-error 2.6477064964648714e+18
- y tested = 5326600510.288329
-y predicted = 3991040037.043282
-error 1.7837217776945341e+18
- y tested = 5072151352.996373
-y predicted = 4409919247.043853
-error 4.3855136215431014e+17
- y tested = 7650055845.407672
-y predicted = 5840610371.917753
-error 3.2740929215331564e+18
- y tested = 5789616901.049658
-y predicted = 6062919283.294382
-error 7.469419214064138e+16
- y tested = 8224428196.629629
-y predicted = 7488840646.715718
-error 5.4108904358835034e+17
- y tested = 4059018123.5159216
-y predicted = 5096069074.660749
-error 1.075474675270392e+18
- y tested = 5947637003.818383
-y predicted = 4056285389.964336
-error 3.577210927228309e+18
- y tested = 997516184.7000968
-y predicted = 549081545.1767709
-error 2.0109362592441526e+17
- y tested = 6532788063.289651
-y predicted = 6689338997.993181
-error 2.4508195156549012e+16
- y tested = 1980229389.772511
-y predicted = 3490195560.3556547
-error 2.2799978363055235e+18
- y tested = 5035525633.343237
-y predicted = 5196958044.210987
-error 2.6060423278574104e+16
- y tested = 5026691733.102776
-y predicted = 5312719346.192209
-error 8.181179544963877e+16
- y tested = 1014996574.3865615
-y predicted = 1245550811.2834945
-error 5.315525615112708e+16
- y tested = 7665772326.561901
-y predicted = 6787907253.652272
-error 7.70647086234628e+17
- y tested = 3029054692.61153
-y predicted = 4758822484.812788
-error 2.992096614936815e+18
- y tested = 4062233415.93208
-y predicted = 4800915314.744828
-error 5.456509476336075e+17
- y tested = 5822958761.806049
-y predicted = 6324513515.969438
-error 2.5155717142389683e+17
- y tested = 6611133148.221605
-y predicted = 6345182423.952578
-error 7.072978773922041e+16
- y tested = 5377240292.736961
-y predicted = 3028276342.527871
-error 5.517631639381893e+18
-error squared vector [2.6477064964648714e+18, 1.7837217776945341e+18, 4.3855136215431014e+17, 3.2740929215331564e+18, 7.469419214064138e+16, 5.4108904358835034e+17, 1.075474675270392e+18, 3.577210927228309e+18, 2.0109362592441526e+17, 2.4508195156549012e+16, 2.2799978363055235e+18, 2.6060423278574104e+16, 8.181179544963877e+16, 5.315525615112708e+16, 7.70647086234628e+17, 2.992096614936815e+18, 5.456509476336075e+17, 2.5155717142389683e+17, 7.072978773922041e+16, 5.517631639381893e+18]
-Total loo_error 1.3113740887845228e+18
-iteration 262current difference of loo_error -1659365319680.0
- getting loo error of with lamda = 0.013693416491333474, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621788770.3035612
-error 2.6301988152124396e+18
- y tested = 5326600510.288329
-y predicted = 3991942638.26004
-error 1.7813116353670815e+18
- y tested = 5072151352.996373
-y predicted = 4402801116.360336
-error 4.480297392847185e+17
- y tested = 7650055845.407672
-y predicted = 5848164260.81274
-error 3.2468132826340337e+18
- y tested = 5789616901.049658
-y predicted = 6064978726.258783
-error 7.5824134782501e+16
- y tested = 8224428196.629629
-y predicted = 7496140983.161289
-error 5.304022653014793e+17
- y tested = 4059018123.5159216
-y predicted = 5095007140.9419
-error 1.0732732442272447e+18
- y tested = 5947637003.818383
-y predicted = 4058186566.0084133
-error 3.570022956940287e+18
- y tested = 997516184.7000968
-y predicted = 541716402.8258685
-error 2.0775344115659414e+17
- y tested = 6532788063.289651
-y predicted = 6681691093.293523
-error 2.217211234433398e+16
- y tested = 1980229389.772511
-y predicted = 3495752880.193918
-error 2.2968114500190853e+18
- y tested = 5035525633.343237
-y predicted = 5193633441.001189
-error 2.4998078842404044e+16
- y tested = 5026691733.102776
-y predicted = 5313181755.013111
-error 8.207653265418454e+16
- y tested = 1014996574.3865615
-y predicted = 1239172187.379924
-error 5.025470546094986e+16
- y tested = 7665772326.561901
-y predicted = 6792996583.248345
-error 7.617374981165297e+17
- y tested = 3029054692.61153
-y predicted = 4765518757.883641
-error 3.015307449981348e+18
- y tested = 4062233415.93208
-y predicted = 4810715195.776209
-error 5.602249747586353e+17
- y tested = 5822958761.806049
-y predicted = 6332356166.477737
-error 2.5948571588625155e+17
- y tested = 6611133148.221605
-y predicted = 6345287518.701766
-error 7.067389873479965e+16
- y tested = 5377240292.736961
-y predicted = 3027751360.0024757
-error 5.520098245041832e+18
-error squared vector [2.6301988152124396e+18, 1.7813116353670815e+18, 4.480297392847185e+17, 3.2468132826340337e+18, 7.5824134782501e+16, 5.304022653014793e+17, 1.0732732442272447e+18, 3.570022956940287e+18, 2.0775344115659414e+17, 2.217211234433398e+16, 2.2968114500190853e+18, 2.4998078842404044e+16, 8.207653265418454e+16, 5.025470546094986e+16, 7.617374981165297e+17, 3.015307449981348e+18, 5.602249747586353e+17, 2.5948571588625155e+17, 7.067389873479965e+16, 5.520098245041832e+18]
-Total loo_error 1.3113735088373366e+18
-iteration 263current difference of loo_error 579947186176.0
- getting loo error of with lamda = 0.013989841027012877, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1627014561.7847261
-error 2.6471763839883756e+18
- y tested = 5326600510.288329
-y predicted = 3991067393.7649765
-error 1.783648705330579e+18
- y tested = 5072151352.996373
-y predicted = 4409705412.877615
-error 4.388346235798254e+17
- y tested = 7650055845.407672
-y predicted = 5840838514.957099
-error 3.2732673488026977e+18
- y tested = 5789616901.049658
-y predicted = 6062979872.005443
-error 7.472731388977325e+16
- y tested = 8224428196.629629
-y predicted = 7489061048.674055
-error 5.4076484229231514e+17
- y tested = 4059018123.5159216
-y predicted = 5096037064.638591
-error 1.0754082842471821e+18
- y tested = 5947637003.818383
-y predicted = 4056343622.441857
-error 3.576990654438655e+18
- y tested = 997516184.7000968
-y predicted = 548859268.4137349
-error 2.012930285315876e+17
- y tested = 6532788063.289651
-y predicted = 6689111046.059731
-error 2.443687494213461e+16
- y tested = 1980229389.772511
-y predicted = 3490361992.7664685
-error 2.2805004786253056e+18
- y tested = 5035525633.343237
-y predicted = 5196858825.246529
-error 2.6028398809704348e+16
- y tested = 5026691733.102776
-y predicted = 5312733173.027251
-error 8.181970535406742e+16
- y tested = 1014996574.3865615
-y predicted = 1245358409.4014647
-error 5.306657503143348e+16
- y tested = 7665772326.561901
-y predicted = 6788060666.764574
-error 7.703777577441788e+17
- y tested = 3029054692.61153
-y predicted = 4759023523.895465
-error 2.9927921572139044e+18
- y tested = 4062233415.93208
-y predicted = 4801209253.486265
-error 5.460852884889098e+17
- y tested = 5822958761.806049
-y predicted = 6324747273.531923
-error 2.5179171050006752e+17
- y tested = 6611133148.221605
-y predicted = 6345185566.219185
-error 7.0728116372934136e+16
- y tested = 5377240292.736961
-y predicted = 3028261206.362354
-error 5.517702748225286e+18
-error squared vector [2.6471763839883756e+18, 1.783648705330579e+18, 4.388346235798254e+17, 3.2732673488026977e+18, 7.472731388977325e+16, 5.4076484229231514e+17, 1.0754082842471821e+18, 3.576990654438655e+18, 2.012930285315876e+17, 2.443687494213461e+16, 2.2805004786253056e+18, 2.6028398809704348e+16, 8.181970535406742e+16, 5.306657503143348e+16, 7.703777577441788e+17, 2.9927921572139044e+18, 5.460852884889098e+17, 2.5179171050006752e+17, 7.0728116372934136e+16, 5.517702748225286e+18]
-Total loo_error 1.311372049820446e+18
-iteration 264current difference of loo_error -1459016890624.0
- getting loo error of with lamda = 0.013702399053020729, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1621947497.7147517
-error 2.63071368507282e+18
- y tested = 5326600510.288329
-y predicted = 3991916121.2637625
-error 1.7813824183058808e+18
- y tested = 5072151352.996373
-y predicted = 4403012116.687964
-error 4.4774731756740045e+17
- y tested = 7650055845.407672
-y predicted = 5847941551.590607
-error 3.2476159279797796e+18
- y tested = 5789616901.049658
-y predicted = 6064916414.969696
-error 7.578982236460931e+16
- y tested = 8224428196.629629
-y predicted = 7495925663.882482
-error 5.3071594021900883e+17
- y tested = 4059018123.5159216
-y predicted = 5095038510.556077
-error 1.0733382423628334e+18
- y tested = 5947637003.818383
-y predicted = 4058131315.7109685
-error 3.5702317453902746e+18
- y tested = 997516184.7000968
-y predicted = 541933714.9550316
-error 2.0755538673901325e+17
- y tested = 6532788063.289651
-y predicted = 6681919571.586963
-error 2.2240206767031172e+16
- y tested = 1980229389.772511
-y predicted = 3495587649.0889935
-error 2.29631065407868e+18
- y tested = 5035525633.343237
-y predicted = 5193732635.153005
-error 2.502945542163585e+16
- y tested = 5026691733.102776
-y predicted = 5313167983.193061
-error 8.20686418657917e+16
- y tested = 1014996574.3865615
-y predicted = 1239360491.0697405
-error 5.03391671094165e+16
- y tested = 7665772326.561901
-y predicted = 6792846246.289315
-error 7.61999941620061e+17
- y tested = 3029054692.61153
-y predicted = 4765320142.997655
-error 3.014617714204534e+18
- y tested = 4062233415.93208
-y predicted = 4810424254.358295
-error 5.597895307049235e+17
- y tested = 5822958761.806049
-y predicted = 6332121871.018597
-error 2.5924707178298838e+17
- y tested = 6611133148.221605
-y predicted = 6345284390.093811
-error 7.0675562198090456e+16
- y tested = 5377240292.736961
-y predicted = 3027767549.269982
-error 5.520022172294256e+18
-error squared vector [2.63071368507282e+18, 1.7813824183058808e+18, 4.4774731756740045e+17, 3.2476159279797796e+18, 7.578982236460931e+16, 5.3071594021900883e+17, 1.0733382423628334e+18, 3.5702317453902746e+18, 2.0755538673901325e+17, 2.2240206767031172e+16, 2.29631065407868e+18, 2.502945542163585e+16, 8.20686418657917e+16, 5.03391671094165e+16, 7.61999941620061e+17, 3.014617714204534e+18, 5.597895307049235e+17, 2.5924707178298838e+17, 7.0675562198090456e+16, 5.520022172294256e+18]
-Total loo_error 1.3113715302024515e+18
-iteration 265current difference of loo_error 519617994496.0
- getting loo error of with lamda = 0.013981130664164631, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626861361.2986577
-error 2.6466778886153784e+18
- y tested = 5326600510.288329
-y predicted = 3991093117.370739
-error 1.7835799965375386e+18
- y tested = 5072151352.996373
-y predicted = 4409504236.948411
-error 4.391012004066815e+17
- y tested = 7650055845.407672
-y predicted = 5841053084.137691
-error 3.272490990282417e+18
- y tested = 5789616901.049658
-y predicted = 6063036946.273773
-error 7.47585211303573e+16
- y tested = 8224428196.629629
-y predicted = 7489268341.844147
-error 5.404600120882116e+17
- y tested = 4059018123.5159216
-y predicted = 5096006955.553074
-error 1.0753458377697773e+18
- y tested = 5947637003.818383
-y predicted = 4056398344.463081
-error 3.5767836666400415e+18
- y tested = 997516184.7000968
-y predicted = 548650207.3932648
-error 2.0148066558361747e+17
- y tested = 6532788063.289651
-y predicted = 6688896486.4694805
-error 2.436983978769276e+16
- y tested = 1980229389.772511
-y predicted = 3490518602.5730057
-error 2.2809735063015378e+18
- y tested = 5035525633.343237
-y predicted = 5196765442.550322
-error 2.599827607313706e+16
- y tested = 5026691733.102776
-y predicted = 5312746184.9204235
-error 8.182714940469506e+16
- y tested = 1014996574.3865615
-y predicted = 1245177441.1699054
-error 5.298323143313152e+16
- y tested = 7665772326.561901
-y predicted = 6788204968.934004
-error 7.701244671740097e+17
- y tested = 3029054692.61153
-y predicted = 4759212669.13214
-error 2.9934466237178926e+18
- y tested = 4062233415.93208
-y predicted = 4801485818.197123
-error 5.464941142546366e+17
- y tested = 5822958761.806049
-y predicted = 6324967297.588208
-error 2.5201256999814707e+17
- y tested = 6611133148.221605
-y predicted = 6345188523.391282
-error 7.072654347614137e+16
- y tested = 5377240292.736961
-y predicted = 3028246930.360776
-error 5.517769816487377e+18
-error squared vector [2.6466778886153784e+18, 1.7835799965375386e+18, 4.391012004066815e+17, 3.272490990282417e+18, 7.47585211303573e+16, 5.404600120882116e+17, 1.0753458377697773e+18, 3.5767836666400415e+18, 2.0148066558361747e+17, 2.436983978769276e+16, 2.2809735063015378e+18, 2.599827607313706e+16, 8.182714940469506e+16, 5.298323143313152e+16, 7.701244671740097e+17, 2.9934466237178926e+18, 5.464941142546366e+17, 2.5201256999814707e+17, 7.072654347614137e+16, 5.517769816487377e+18]
-Total loo_error 1.311370245858121e+18
-iteration 266current difference of loo_error -1284344330496.0
- getting loo error of with lamda = 0.013710845465479635, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622096729.871559
-error 2.631197800789656e+18
- y tested = 5326600510.288329
-y predicted = 3991891186.6530313
-error 1.7814489785989942e+18
- y tested = 5072151352.996373
-y predicted = 4403210420.129859
-error 4.4748197166432224e+17
- y tested = 7650055845.407672
-y predicted = 5847732176.2478
-error 3.248370608413904e+18
- y tested = 5789616901.049658
-y predicted = 6064857923.733362
-error 7.575762056797147e+16
- y tested = 8224428196.629629
-y predicted = 7495723241.0081625
-error 5.3101091234728365e+17
- y tested = 4059018123.5159216
-y predicted = 5095067998.668766
-error 1.0733993438042245e+18
- y tested = 5947637003.818383
-y predicted = 4058079328.495017
-error 3.5704282083734436e+18
- y tested = 997516184.7000968
-y predicted = 542138006.7204577
-error 2.0736928498005594e+17
- y tested = 6532788063.289651
-y predicted = 6682134202.459646
-error 2.230426928498361e+16
- y tested = 1980229389.772511
-y predicted = 3495432387.8664546
-error 2.2958401254328753e+18
- y tested = 5035525633.343237
-y predicted = 5193825824.579883
-error 2.50589505455586e+16
- y tested = 5026691733.102776
-y predicted = 5313155043.771063
-error 8.206122835903566e+16
- y tested = 1014996574.3865615
-y predicted = 1239537506.9871016
-error 5.0418630413120264e+16
- y tested = 7665772326.561901
-y predicted = 6792704926.316135
-error 7.622466853719e+17
- y tested = 3029054692.61153
-y predicted = 4765133486.305408
-error 3.01396957791359e+18
- y tested = 4062233415.93208
-y predicted = 4810150844.891802
-error 5.593804805417209e+17
- y tested = 5822958761.806049
-y predicted = 6331901775.51184
-error 2.5902299119993248e+17
- y tested = 6611133148.221605
-y predicted = 6345281450.414468
-error 7.067712522693755e+16
- y tested = 5377240292.736961
-y predicted = 3027782729.36772
-error 5.519950842072932e+18
-error squared vector [2.631197800789656e+18, 1.7814489785989942e+18, 4.4748197166432224e+17, 3.248370608413904e+18, 7.575762056797147e+16, 5.3101091234728365e+17, 1.0733993438042245e+18, 3.5704282083734436e+18, 2.0736928498005594e+17, 2.230426928498361e+16, 2.2958401254328753e+18, 2.50589505455586e+16, 8.206122835903566e+16, 5.0418630413120264e+16, 7.622466853719e+17, 3.01396957791359e+18, 5.593804805417209e+17, 2.5902299119993248e+17, 7.067712522693755e+16, 5.519950842072932e+18]
-Total loo_error 1.3113697817951222e+18
-iteration 267current difference of loo_error 464062998784.0
- getting loo error of with lamda = 0.013972940203598419, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626717285.289128
-error 2.646209125987311e+18
- y tested = 5326600510.288329
-y predicted = 3991117305.363883
-error 1.7835153906352701e+18
- y tested = 5072151352.996373
-y predicted = 4409314975.7708235
-error 4.393520629734912e+17
- y tested = 7650055845.407672
-y predicted = 5841254884.615492
-error 3.2717609157627136e+18
- y tested = 5789616901.049658
-y predicted = 6063090704.196854
-error 7.478792100779122e+16
- y tested = 8224428196.629629
-y predicted = 7489463303.293515
-error 5.401733944365653e+17
- y tested = 4059018123.5159216
-y predicted = 5095978635.060684
-error 1.0752871025031758e+18
- y tested = 5947637003.818383
-y predicted = 4056449769.5195246
-error 3.5765891551749663e+18
- y tested = 997516184.7000968
-y predicted = 548453579.2261051
-error 2.0165722363508995e+17
- y tested = 6532788063.289651
-y predicted = 6688694544.346404
-error 2.4306830835499732e+16
- y tested = 1980229389.772511
-y predicted = 3490665963.2469654
-error 2.2814186424892508e+18
- y tested = 5035525633.343237
-y predicted = 5196677557.624307
-error 2.596994269949164e+16
- y tested = 5026691733.102776
-y predicted = 5312758429.332787
-error 8.183415469195338e+16
- y tested = 1014996574.3865615
-y predicted = 1245007229.9486446
-error 5.290490167209924e+16
- y tested = 7665772326.561901
-y predicted = 6788340698.666017
-error 7.698862616320219e+17
- y tested = 3029054692.61153
-y predicted = 4759390618.302757
-error 2.9940624157377167e+18
- y tested = 4062233415.93208
-y predicted = 4801746026.311658
-error 5.468789009104177e+17
- y tested = 5822958761.806049
-y predicted = 6325174382.764561
-error 2.5222052993474314e+17
- y tested = 6611133148.221605
-y predicted = 6345191306.228769
-error 7.072506332254255e+16
- y tested = 5377240292.736961
-y predicted = 3028233468.134006
-error 5.51783306203126e+18
-error squared vector [2.646209125987311e+18, 1.7835153906352701e+18, 4.393520629734912e+17, 3.2717609157627136e+18, 7.478792100779122e+16, 5.401733944365653e+17, 1.0752871025031758e+18, 3.5765891551749663e+18, 2.0165722363508995e+17, 2.4306830835499732e+16, 2.2814186424892508e+18, 2.596994269949164e+16, 8.183415469195338e+16, 5.290490167209924e+16, 7.698862616320219e+17, 2.9940624157377167e+18, 5.468789009104177e+17, 2.5222052993474314e+17, 7.072506332254255e+16, 5.51783306203126e+18]
-Total loo_error 1.3113686499036685e+18
-iteration 268current difference of loo_error -1131891453696.0
- getting loo error of with lamda = 0.013718787730271114, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
[2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622237035.9815247
-error 2.63165300063975e+18
- y tested = 5326600510.288329
-y predicted = 3991867740.022975
-error 1.7815115680202266e+18
- y tested = 5072151352.996373
-y predicted = 4403396796.539887
-error 4.47232656781311e+17
- y tested = 7650055845.407672
-y predicted = 5847535334.184088
-error 3.2490801933817313e+18
- y tested = 5789616901.049658
-y predicted = 6064803012.729604
-error 7.572739606152768e+16
- y tested = 8224428196.629629
-y predicted = 7495532939.610377
-error 5.3128829570516115e+17
- y tested = 4059018123.5159216
-y predicted = 5095095718.639461
-error 1.073456783116976e+18
- y tested = 5947637003.818383
-y predicted = 4058030413.6667633
-error 3.570613065544432e+18
- y tested = 997516184.7000968
-y predicted = 542330061.0389929
-error 2.0719440717362182e+17
- y tested = 6532788063.289651
-y predicted = 6682335837.007462
-error 2.2364536623953492e+16
- y tested = 1980229389.772511
-y predicted = 3495286488.9086456
-error 2.2953980136427994e+18
- y tested = 5035525633.343237
-y predicted = 5193913377.511612
-error 2.5086677502746612e+16
- y tested = 5026691733.102776
-y predicted = 5313142885.8421135
-error 8.20542629056955e+16
- y tested = 1014996574.3865615
-y predicted = 1239703914.497923
-error 5.049338869992304e+16
- y tested = 7665772326.561901
-y predicted = 6792572080.050132
-error 7.624786705082147e+17
- y tested = 3029054692.61153
-y predicted = 4764958061.979738
-error 3.0133605077838986e+18
- y tested = 4062233415.93208
-y predicted = 4809893901.514644
-error 5.589962017015552e+17
- y tested = 5822958761.806049
-y predicted = 6331695007.1969795
-error 2.5881256737446074e+17
- y tested = 6611133148.221605
-y predicted = 6345278688.137006
-error 7.06785939468739e+16
- y tested = 5377240292.736961
-y predicted = 3027796965.5536385
-error 5.519883947646243e+18
-error squared vector [2.63165300063975e+18, 1.7815115680202266e+18, 4.47232656781311e+17, 3.2490801933817313e+18, 7.572739606152768e+16, 5.3128829570516115e+17, 1.073456783116976e+18, 3.570613065544432e+18, 2.0719440717362182e+17, 2.2364536623953492e+16, 2.2953980136427994e+18, 2.5086677502746612e+16, 8.20542629056955e+16, 5.049338869992304e+16, 7.624786705082147e+17, 3.0133605077838986e+18, 5.589962017015552e+17, 2.5881256737446074e+17, 7.06785939468739e+16, 5.519883947646243e+18]
-Total loo_error 1.311368236738055e+18
-iteration 269current difference of loo_error 413165613568.0
- getting loo error of with lamda = 0.013965238613497591, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
- [0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626581791.4157922
-error 2.645768323894311e+18
- y tested = 5326600510.288329
-y predicted = 3991140049.4251857
-error 1.7834546425287995e+18
- y tested = 5072151352.996373
-y predicted = 4409136928.858383
-error 4.3958812661503046e+17
- y tested = 7650055845.407672
-y predicted = 5841444674.072048
-error 3.271074369080017e+18
- y tested = 5789616901.049658
-y predicted = 6063141333.377023
-error 7.481561508000723e+16
- y tested = 8224428196.629629
-y predicted = 7489646664.326751
-error 5.399039002133659e+17
- y tested = 4059018123.5159216
-y predicted = 5095951997.394253
-error 1.0752318587963228e+18
- y tested = 5947637003.818383
-y predicted = 4056498097.9106736
-error 3.576406361437809e+18
- y tested = 997516184.7000968
-y predicted = 548268647.0716811
-error 2.0182335006519478e+17
- y tested = 6532788063.289651
-y predicted = 6688504488.272576
-error 2.424760500946304e+16
- y tested = 1980229389.772511
-y predicted = 3490804615.500934
-error 2.2818375125844764e+18
- y tested = 5035525633.343237
-y predicted = 5196594851.049224
-error 2.5943292892418628e+16
- y tested = 5026691733.102776
-y predicted = 5312769951.026696
-error 8.184074677052622e+16
- y tested = 1014996574.3865615
-y predicted = 1244847138.8163667
-error 5.283128196870002e+16
- y tested = 7665772326.561901
-y predicted = 6788468362.935872
-error 7.696622445939409e+17
- y tested = 3029054692.61153
-y predicted = 4759558028.926134
-error 2.994641796995976e+18
- y tested = 4062233415.93208
-y predicted = 4801990836.775442
-error 5.472410416928235e+17
- y tested = 5822958761.806049
-y predicted = 6325369279.1196995
-error 2.5241632790736954e+17
- y tested = 6611133148.221605
-y predicted = 6345193924.882953
-error 7.072367050996575e+16
- y tested = 5377240292.736961
-y predicted = 3028220775.498674
-error 5.517892692366397e+18
-error squared vector [2.645768323894311e+18, 1.7834546425287995e+18, 4.3958812661503046e+17, 3.271074369080017e+18, 7.481561508000723e+16, 5.399039002133659e+17, 1.0752318587963228e+18, 3.576406361437809e+18, 2.0182335006519478e+17, 2.424760500946304e+16, 2.2818375125844764e+18, 2.5943292892418628e+16, 8.184074677052622e+16, 5.283128196870002e+16, 7.696622445939409e+17, 2.994641796995976e+18, 5.472410416928235e+17, 2.5241632790736954e+17, 7.072367050996575e+16, 5.517892692366397e+18]
-Total loo_error 1.3113672380501458e+18
-iteration 270current difference of loo_error -998687909120.0
- getting loo error of with lamda = 0.013726255938853734, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622368950.9920335
-error 2.6320810128725965e+18
- y tested = 5326600510.288329
-y predicted = 3991845692.5979133
-error 1.7815704233477752e+18
- y tested = 5072151352.996373
-y predicted = 4403571968.412748
-error 4.4699839349021856e+17
- y tested = 7650055845.407672
-y predicted = 5847350273.13331
-error 3.2497473803090335e+18
- y tested = 5789616901.049658
-y predicted = 6064751457.842426
-error 7.569902434155314e+16
- y tested = 8224428196.629629
-y predicted = 7495354031.616838
-error 5.315491380890979e+17
- y tested = 4059018123.5159216
-y predicted = 5095121776.938367
-error 1.0735107806353386e+18
- y tested = 5947637003.818383
-y predicted = 4057984391.4337015
-error 3.570786995492252e+18
- y tested = 997516184.7000968
-y predicted = 542510613.4243063
-error 2.0703006989200854e+17
- y tested = 6532788063.289651
-y predicted = 6682525272.637766
-error 2.242123186336121e+16
- y tested = 1980229389.772511
-y predicted = 3495149382.33012
-error 2.2949825838507464e+18
- y tested = 5035525633.343237
-y predicted = 5193995639.046973
-error 2.5112742707742216e+16
- y tested = 5026691733.102776
-y predicted = 5313131461.684595
-error 8.204771811002645e+16
- y tested = 1014996574.3865615
-y predicted = 1239860351.762704
-error 5.056371837586732e+16
- y tested = 7665772326.561901
-y predicted = 6792447197.230247
-error 7.626967815221512e+17
- y tested = 3029054692.61153
-y predicted = 4764793188.9326
-error 3.0127881276109297e+18
- y tested = 4062233415.93208
-y predicted = 4809652424.259375
-error 5.586351740089568e+17
- y tested = 5822958761.806049
-y predicted = 6331500748.367698
-error 2.5861495209606774e+17
- y tested = 6611133148.221605
-y predicted = 6345276092.450998
-error 7.067997410301564e+16
- y tested = 5377240292.736961
-y predicted = 3027810318.5989313
-error 5.519821203378224e+18
-error squared vector [2.6320810128725965e+18, 1.7815704233477752e+18, 4.4699839349021856e+17, 3.2497473803090335e+18, 7.569902434155314e+16, 5.315491380890979e+17, 1.0735107806353386e+18, 3.570786995492252e+18, 2.0703006989200854e+17, 2.242123186336121e+16, 2.2949825838507464e+18, 2.5112742707742216e+16, 8.204771811002645e+16, 5.056371837586732e+16, 7.626967815221512e+17, 3.0127881276109297e+18, 5.586351740089568e+17, 2.5861495209606774e+17, 7.067997410301564e+16, 5.519821203378224e+18]
-Total loo_error 1.311366871304848e+18
-iteration 271current difference of loo_error 366745297920.0
- getting loo error of with lamda = 0.01395799671426596, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626454369.4458418
-error 2.645353815618395e+18
- y tested = 5326600510.288329
-y predicted = 3991161435.761064
-error 1.7833975217742382e+18
- y tested = 5072151352.996373
-y predicted = 4408969436.313499
-error 4.3981025461517005e+17
- y tested = 7650055845.407672
-y predicted = 5841623165.48026
-error 3.2704287578294415e+18
- y tested = 5789616901.049658
-y predicted = 6063189011.397882
-error 7.48416995603812e+16
- y tested = 8224428196.629629
-y predicted = 7489819113.145185
-error 5.3965050553785434e+17
- y tested = 4059018123.5159216
-y predicted = 5095926942.984341
-error 1.0751798998913905e+18
- y tested = 5947637003.818383
-y predicted = 4056543517.5821595
-error 3.5762345736850744e+18
- y tested = 997516184.7000968
-y predicted = 548094717.4654697
-error 2.0197965521132502e+17
- y tested = 6532788063.289651
-y predicted = 6688325628.009779
-error 2.4191934039068024e+16
- y tested = 1980229389.772511
-y predicted = 3490935069.0772123
-error 2.282231649483479e+18
- y tested = 5035525633.343237
-y predicted = 5196517021.472506
-error 2.591822705178882e+16
- y tested = 5026691733.102776
-y predicted = 5312780792.211287
-error 8.184694974159309e+16
- y tested = 1014996574.3865615
-y predicted = 1244696568.2766144
-error 5.2762087193090344e+16
- y tested = 7665772326.561901
-y predicted = 6788588439.000305
-error 7.694515725976745e+17
- y tested = 3029054692.61153
-y predicted = 4759715520.505013
-error 2.995186901204958e+18
- y tested = 4062233415.93208
-y predicted = 4802221153.283233
-error 5.4758185143007885e+17
- y tested = 5822958761.806049
-y predicted = 6325552694.482186
-error 2.526006611628653e+17
- y tested = 6611133148.221605
-y predicted = 6345196388.929245
-error 7.072235994292278e+16
- y tested = 5377240292.736961
-y predicted = 3028208810.4084754
-error 5.517948904970364e+18
-error squared vector [2.645353815618395e+18, 1.7833975217742382e+18, 4.3981025461517005e+17, 3.2704287578294415e+18, 7.48416995603812e+16, 5.3965050553785434e+17, 1.0751798998913905e+18, 3.5762345736850744e+18, 2.0197965521132502e+17, 2.4191934039068024e+16, 2.282231649483479e+18, 2.591822705178882e+16, 8.184694974159309e+16, 5.2762087193090344e+16, 7.694515725976745e+17, 2.995186901204958e+18, 5.4758185143007885e+17, 2.526006611628653e+17, 7.072235994292278e+16, 5.517948904970364e+18]
-Total loo_error 1.3113659891270577e+18
-iteration 272current difference of loo_error -882177790208.0
- getting loo error of with lamda = 0.013733278386593498, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622492977.6680174
-error 2.6324834623116145e+18
- y tested = 5326600510.288329
-y predicted = 3991824960.8961124
-error 1.781625767255294e+18
- y tested = 5072151352.996373
-y predicted = 4403736613.877025
-error 4.4677826347198675e+17
- y tested = 7650055845.407672
-y predicted = 5847176286.214177
-error 3.2503747049577303e+18
- y tested = 5789616901.049658
-y predicted = 6064703049.558094
-error 7.567238910120542e+16
- y tested = 8224428196.629629
-y predicted = 7495185832.94451
-error 5.317944249930589e+17
- y tested = 4059018123.5159216
-y predicted = 5095146273.573247
-error 1.0735615433412154e+18
- y tested = 5947637003.818383
-y predicted = 4057941092.310754
-error 3.57095063796865e+18
- y tested = 997516184.7000968
-y predicted = 542680354.8954906
-error 2.068756320740447e+17
- y tested = 6532788063.289651
-y predicted = 6682703256.616762
-error 2.247456519030514e+16
- y tested = 1980229389.772511
-y predicted = 3495020533.553549
-error 2.2945922092774648e+18
- y tested = 5035525633.343237
-y predicted = 5194072932.669916
-error 2.513724612378362e+16
- y tested = 5026691733.102776
-y predicted = 5313120726.551871
-error 8.204156828826213e+16
- y tested = 1014996574.3865615
-y predicted = 1240007418.2727506
-error 5.062987986637497e+16
- y tested = 7665772326.561901
-y predicted = 6792329798.572277
-error 7.629018497009051e+17
- y tested = 3029054692.61153
-y predicted = 4764638227.976946
-error 3.012250208231516e+18
- y tested = 4062233415.93208
-y predicted = 4809425474.852462
-error 5.582959729136796e+17
- y tested = 5822958761.806049
-y predicted = 6331318232.736245
-error 2.584293516844286e+17
- y tested = 6611133148.221605
-y predicted = 6345273653.216841
-error 7.068127108418843e+16
- y tested = 5377240292.736961
-y predicted = 3027822845.1261463
-error 5.519762343138117e+18
-error squared vector [2.6324834623116145e+18, 1.781625767255294e+18, 4.4677826347198675e+17, 3.2503747049577303e+18, 7.567238910120542e+16, 5.317944249930589e+17, 1.0735615433412154e+18, 3.57095063796865e+18, 2.068756320740447e+17, 2.247456519030514e+16, 2.2945922092774648e+18, 2.513724612378362e+16, 8.204156828826213e+16, 5.062987986637497e+16, 7.629018497009051e+17, 3.012250208231516e+18, 5.582959729136796e+17, 2.584293516844286e+17, 7.068127108418843e+16, 5.519762343138117e+18]
-Total loo_error 1.3113656645486912e+18
-iteration 273current difference of loo_error 324578366464.0
- getting loo error of with lamda = 0.013951187067972855, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626334539.3687522
-error 2.6449640336727163e+18
- y tested = 5326600510.288329
-y predicted = 3991181545.4307227
-error 1.7833438117013612e+18
- y tested = 5072151352.996373
-y predicted = 4408811876.544025
-error 4.400192610200748e+17
- y tested = 7650055845.407672
-y predicted = 5841791029.713602
-error 3.269821643677108e+18
- y tested = 5789616901.049658
-y predicted = 6063233906.288978
-error 7.486626555613395e+16
- y tested = 8224428196.629629
-y predicted = 7489981297.3575
-error 5.3941224785044486e+17
- y tested = 4059018123.5159216
-y predicted = 5095903378.10417
-error 1.0751310311825364e+18
- y tested = 5947637003.818383
-y predicted = 4056586204.907448
-error 3.5760731240616873e+18
- y tested = 997516184.7000968
-y predicted = 547931137.7999103
-error 2.0212671439624294e+17
- y tested = 6532788063.289651
-y predicted = 6688157312.323147
-error 2.4139603545232468e+16
- y tested = 1980229389.772511
-y predicted = 3491057804.446134
-error 2.2826024985852132e+18
- y tested = 5035525633.343237
-y predicted = 5196443784.643929
-error 2.5894651418032276e+16
- y tested = 5026691733.102776
-y predicted = 5312790992.681722
-error 8.185278633162118e+16
- y tested = 1014996574.3865615
-y predicted = 1244554954.0916963
-error 5.2697049692846824e+16
- y tested = 7665772326.561901
-y predicted = 6788701376.108793
-error 7.69253452128718e+17
- y tested = 3029054692.61153
-y predicted = 4759863676.655442
-error 2.9956997392471204e+18
- y tested = 4062233415.93208
-y predicted = 4802437827.348812
-error 5.479025706807911e+17
- y tested = 5822958761.806049
-y predicted = 6325725296.681739
-error 2.527741885909079e+17
- y tested = 6611133148.221605
-y predicted = 6345198707.397778
-error 7.072112681628194e+16
- y tested = 5377240292.736961
-y predicted = 3028197532.8832417
-error 5.51800188762118e+18
-error squared vector [2.6449640336727163e+18, 1.7833438117013612e+18, 4.400192610200748e+17, 3.269821643677108e+18, 7.486626555613395e+16, 5.3941224785044486e+17, 1.0751310311825364e+18, 3.5760731240616873e+18, 2.0212671439624294e+17, 2.4139603545232468e+16, 2.2826024985852132e+18, 2.5894651418032276e+16, 8.185278633162118e+16, 5.2697049692846824e+16, 7.69253452128718e+17, 2.9956997392471204e+18, 5.479025706807911e+17, 2.527741885909079e+17, 7.072112681628194e+16, 5.51800188762118e+18]
-Total loo_error 1.3113648843888125e+18
-iteration 274current difference of loo_error -780159878656.0
- getting loo error of with lamda = 0.01373988167996863, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622609588.542892
-error 2.6328618765608986e+18
- y tested = 5326600510.288329
-y predicted = 3991805466.4144225
-error 1.7816778091503442e+18
- y tested = 5072151352.996373
-y predicted = 4403891369.4895735
-error 4.465714055565082e+17
- y tested = 7650055845.407672
-y predicted = 5847012709.166052
-error 3.250964551148017e+18
- y tested = 5789616901.049658
-y predicted = 6064657591.949067
-error 7.56473816504244e+16
- y tested = 8224428196.629629
-y predicted = 7495027700.810878
-error 5.3202508330064026e+17
- y tested = 4059018123.5159216
-y predicted = 5095169302.486204
-error 1.0736092656815066e+18
- y tested = 5947637003.818383
-y predicted = 4057900356.556017
-error 3.571104596006409e+18
- y tested = 997516184.7000968
-y predicted = 542839934.7032287
-error 2.0673049231121453e+17
- y tested = 6532788063.289651
-y predicted = 6682870489.362009
-error 2.2524734615764844e+16
- y tested = 1980229389.772511
-y predicted = 3494899441.0506473
-error 2.294225364238912e+18
- y tested = 5035525633.343237
-y predicted = 5194145561.660597
-error 2.51602816594044e+16
- y tested = 5026691733.102776
-y predicted = 5313110638.4804535
-error 8.203578935774722e+16
- y tested = 1014996574.3865615
-y predicted = 1240145677.2255182
-error 5.06921185091871e+16
- y tested = 7665772326.561901
-y predicted = 6792219433.860437
-error 7.630946563470949e+17
- y tested = 3029054692.61153
-y predicted = 4764492579.178123
-error 3.0117446581307254e+18
- y tested = 4062233415.93208
-y predicted = 4809212172.794838
-error 5.5797726320423155e+17
- y tested = 5822958761.806049
-y predicted = 6331146742.054664
-error 2.58255023269166e+17
- y tested = 6611133148.221605
-y predicted = 6345271360.921899
-error 7.068248994619436e+16
- y tested = 5377240292.736961
-y predicted = 3027834597.91856
-error 5.519707118845135e+18
-error squared vector [2.6328618765608986e+18, 1.7816778091503442e+18, 4.465714055565082e+17, 3.250964551148017e+18, 7.56473816504244e+16, 5.3202508330064026e+17, 1.0736092656815066e+18, 3.571104596006409e+18, 2.0673049231121453e+17, 2.2524734615764844e+16, 2.294225364238912e+18, 2.51602816594044e+16, 8.203578935774722e+16, 5.06921185091871e+16, 7.630946563470949e+17, 3.0117446581307254e+18, 5.5797726320423155e+17, 2.58255023269166e+17, 7.068248994619436e+16, 5.519707118845135e+18]
-Total loo_error 1.3113645979744763e+18
-iteration 275current difference of loo_error 286414336256.0
- getting loo error of with lamda = 0.01394478387439697, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626221849.6188555
-error 2.6445975039067346e+18
- y tested = 5326600510.288329
-y predicted = 3991200454.6524425
-error 1.7832933085923292e+18
- y tested = 5072151352.996373
-y predicted = 4408663664.100069
-error 4.4021591331695885e+17
- y tested = 7650055845.407672
-y predicted = 5841948898.005678
-error 3.269250733243356e+18
- y tested = 5789616901.049658
-y predicted = 6063276176.977156
-error 7.488939930116242e+16
- y tested = 8224428196.629629
-y predicted = 7490133826.346497
-error 5.391882222295022e+17
- y tested = 4059018123.5159216
-y predicted = 5095881214.530979
-error 1.0750850695092996e+18
- y tested = 5947637003.818383
-y predicted = 4056626325.418936
-error 3.5759213858207386e+18
- y tested = 997516184.7000968
-y predicted = 547777293.9474293
-error 2.0226506985543984e+17
- y tested = 6532788063.289651
-y predicted = 6687998926.902221
-error 2.4090412183359748e+16
- y tested = 1980229389.772511
-y predicted = 3491173274.421716
-error 2.2829514225588308e+18
- y tested = 5035525633.343237
-y predicted = 5196374872.4950695
-error 2.587247773572343e+16
- y tested = 5026691733.102776
-y predicted = 5312800589.951689
-error 8.18582779673919e+16
- y tested = 1014996574.3865615
-y predicted = 1244421765.2385018
-error 5.263591819744922e+16
- y tested = 7665772326.561901
-y predicted = 6788807597.12009
-error 7.690671366849498e+17
- y tested = 3029054692.61153
-y predicted = 4760003047.124885
-error 2.9961822059924905e+18
- y tested = 4062233415.93208
-y predicted = 4802641661.220258
-error 5.482043696907187e+17
- y tested = 5822958761.806049
-y predicted = 6325887715.682119
-error 2.5293753264687818e+17
- y tested = 6611133148.221605
-y predicted = 6345200888.803046
-error 7.07199665994598e+16
- y tested = 5377240292.736961
-y predicted = 3028186904.936153
-error 5.518051818738456e+18
-error squared vector [2.6445975039067346e+18, 1.7832933085923292e+18, 4.4021591331695885e+17, 3.269250733243356e+18, 7.488939930116242e+16, 5.391882222295022e+17, 1.0750850695092996e+18, 3.5759213858207386e+18, 2.0226506985543984e+17, 2.4090412183359748e+16, 2.2829514225588308e+18, 2.587247773572343e+16, 8.18582779673919e+16, 5.263591819744922e+16, 7.690671366849498e+17, 2.9961822059924905e+18, 5.482043696907187e+17, 2.5293753264687818e+17, 7.07199665994598e+16, 5.518051818738456e+18]
-Total loo_error 1.3113639072385613e+18
-iteration 276current difference of loo_error -690735915008.0
- getting loo error of with lamda = 0.01374609083737555, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622719227.7487495
-error 2.633217691835045e+18
- y tested = 5326600510.288329
-y predicted = 3991787135.3315296
-error 1.7817267459635615e+18
- y tested = 5072151352.996373
-y predicted = 4404036832.84558
-error 4.463770120363245e+17
- y tested = 7650055845.407672
-y predicted = 5846858917.75447
-error 3.251519159897947e+18
- y tested = 5789616901.049658
-y predicted = 6064614901.73457
-error 7.56239003806987e+16
- y tested = 8224428196.629629
-y predicted = 7494879031.215342
-error 5.322419847566835e+17
- y tested = 4059018123.5159216
-y predicted = 5095190951.927883
-error 1.0736541303392443e+18
- y tested = 5947637003.818383
-y predicted = 4057862033.632701
-error 3.571249437940296e+18
- y tested = 997516184.7000968
-y predicted = 542989962.8820004
-error 2.0659408632023338e+17
- y tested = 6532788063.289651
-y predicted = 6683027627.504689
-error 2.2571926655524616e+16
- y tested = 1980229389.772511
-y predicted = 3494785634.236311
-error 2.2938806176442898e+18
- y tested = 5035525633.343237
-y predicted = 5194213810.405404
-error 2.518193753931372e+16
- y tested = 5026691733.102776
-y predicted = 5313101158.11009
-error 8.20303587330206e+16
- y tested = 1014996574.3865615
-y predicted = 1240275657.7511773
-error 5.075066540160151e+16
- y tested = 7665772326.561901
-y predicted = 6792115680.157765
-error 7.63275935806121e+17
- y tested = 3029054692.61153
-y predicted = 4764355679.382642
-error 3.011269514688795e+18
- y tested = 4062233415.93208
-y predicted = 4809011691.706161
-error 5.57677793168109e+17
- y tested = 5822958761.806049
-y predicted = 6330985602.976895
-error 2.5809127135002797e+17
- y tested = 6611133148.221605
-y predicted = 6345269206.641628
-error 7.068363543244144e+16
- y tested = 5377240292.736961
-y predicted = 3027845626.203411
-error 5.519655299136292e+18
-error squared vector [2.633217691835045e+18, 1.7817267459635615e+18, 4.463770120363245e+17, 3.251519159897947e+18, 7.56239003806987e+16, 5.322419847566835e+17, 1.0736541303392443e+18, 3.571249437940296e+18, 2.0659408632023338e+17, 2.2571926655524616e+16, 2.2938806176442898e+18, 2.518193753931372e+16, 8.20303587330206e+16, 5.075066540160151e+16, 7.63275935806121e+17, 3.011269514688795e+18, 5.57677793168109e+17, 2.5809127135002797e+17, 7.068363543244144e+16, 5.519655299136292e+18]
-Total loo_error 1.3113636552512783e+18
-iteration 277current difference of loo_error 251987282944.0
- getting loo error of with lamda = 0.013938762873275109, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626115875.4003637
-error 2.644252839958072e+18
- y tested = 5326600510.288329
-y predicted = 3991218235.0942435
-error 1.7832458209025326e+18
- y tested = 5072151352.996373
-y predicted = 4408524247.6256695
-error 4.404009349826991e+17
- y tested = 7650055845.407672
-y predicted = 5842097364.269755
-error 3.2687138695185224e+18
- y tested = 5789616901.049658
-y predicted = 6063315973.725872
-error 7.49111823838196e+16
- y tested = 8224428196.629629
-y predicted = 7490277273.501487
-error 5.389775779299036e+17
- y tested = 4059018123.5159216
-y predicted = 5095860369.229273
-error 1.0750418424959054e+18
- y tested = 5947637003.818383
-y predicted = 4056664034.490335
-error 3.575778770729336e+18
- y tested = 997516184.7000968
-y predicted = 547632608.0171028
-error 2.0239523256908336e+17
- y tested = 6532788063.289651
-y predicted = 6687849892.37803
-error 2.404417084023363e+16
- y tested = 1980229389.772511
-y predicted = 3491281905.695229
-error 2.283279705876376e+18
- y tested = 5035525633.343237
-y predicted = 5196310032.263484
-error 2.5851622936145148e+16
- y tested = 5026691733.102776
-y predicted = 5312809619.378713
-error 8.186344484701006e+16
- y tested = 1014996574.3865615
-y predicted = 1244296501.9793725
-error 5.257845679406836e+16
- y tested = 7665772326.561901
-y predicted = 6788907500.029088
-error 7.688919240104204e+17
- y tested = 3029054692.61153
-y predicted = 4760134149.702673
-error 2.996636086762967e+18
- y tested = 4062233415.93208
-y predicted = 4802833410.641838
-error 5.48488352164094e+17
- y tested = 5822958761.806049
-y predicted = 6326040545.614373
-error 2.5309128119976512e+17
- y tested = 6611133148.221605
-y predicted = 6345202941.171807
-error 7.071887502154844e+16
- y tested = 5377240292.736961
-y predicted = 3028176890.498618
-error 5.518098867735581e+18
-error squared vector [2.644252839958072e+18, 1.7832458209025326e+18, 4.404009349826991e+17, 3.2687138695185224e+18, 7.49111823838196e+16, 5.389775779299036e+17, 1.0750418424959054e+18, 3.575778770729336e+18, 2.0239523256908336e+17, 2.404417084023363e+16, 2.283279705876376e+18, 2.5851622936145148e+16, 8.186344484701006e+16, 5.257845679406836e+16, 7.688919240104204e+17, 2.996636086762967e+18, 5.48488352164094e+17, 2.5309128119976512e+17, 7.071887502154844e+16, 5.518098867735581e+18]
-Total loo_error 1.311363042982904e+18
-iteration 278current difference of loo_error -612268374272.0
- getting loo error of with lamda = 0.013751929383917961, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622822312.734152
-error 2.633552258437352e+18
- y tested = 5326600510.288329
-y predicted = 3991769898.229274
-error 1.7817727628899523e+18
- y tested = 5072151352.996373
-y predicted = 4404173565.01826
-error 4.461943252321331e+17
- y tested = 7650055845.407672
-y predicted = 5846714325.339471
-error 3.25204063800189e+18
- y tested = 5789616901.049658
-y predicted = 6064574807.413731
-error 7.560185027211422e+16
- y tested = 8224428196.629629
-y predicted = 7494739256.574476
-error 5.3244594923881254e+17
- y tested = 4059018123.5159216
-y predicted = 5095211304.807035
-error 1.0736963089541992e+18
- y tested = 5947637003.818383
-y predicted = 4057825981.7000823
-error 3.571385699319817e+18
- y tested = 997516184.7000968
-y predicted = 543131012.6472878
-error 2.0646588458146083e+17
- y tested = 6532788063.289651
-y predicted = 6683175286.735964
-error 2.2616316975891244e+16
- y tested = 1980229389.772511
-y predicted = 3494678671.5030746
-error 2.29355662693422e+18
- y tested = 5035525633.343237
-y predicted = 5194277945.618715
-error 2.5202296652811e+16
- y tested = 5026691733.102776
-y predicted = 5313092248.517016
-error 8.20252552295428e+16
- y tested = 1014996574.3865615
-y predicted = 1240397856.9982953
-error 5.080573820301469e+16
- y tested = 7665772326.561901
-y predicted = 6792018140.131472
-error 7.634463783047017e+17
- y tested = 3029054692.61153
-y predicted = 4764226999.907653
-error 3.0108229360073513e+18
- y tested = 4062233415.93208
-y predicted = 4808823255.909801
-error 5.5739638915795866e+17
- y tested = 5822958761.806049
-y predicted = 6330834184.138591
-error 2.5793744460945734e+17
- y tested = 6611133148.221605
-y predicted = 6345267182.001227
-error 7.068471199429514e+16
- y tested = 5377240292.736961
-y predicted = 3027855975.912903
-error 5.519606668138848e+18
-error squared vector [2.633552258437352e+18, 1.7817727628899523e+18, 4.461943252321331e+17, 3.25204063800189e+18, 7.560185027211422e+16, 5.3244594923881254e+17, 1.0736963089541992e+18, 3.571385699319817e+18, 2.0646588458146083e+17, 2.2616316975891244e+16, 2.29355662693422e+18, 2.5202296652811e+16, 8.20252552295428e+16, 5.080573820301469e+16, 7.634463783047017e+17, 3.0108229360073513e+18, 5.5739638915795866e+17, 2.5793744460945734e+17, 7.068471199429514e+16, 5.519606668138848e+18]
-Total loo_error 1.311362821956791e+18
-iteration 279current difference of loo_error 221026113024.0
- getting loo error of with lamda = 0.013933101252385498, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1626016217.11239
-error 2.643928738041485e+18
- y tested = 5326600510.288329
-y predicted = 3991234954.1444798
-error 1.783201168535372e+18
- y tested = 5072151352.996373
-y predicted = 4408393107.921344
-error 4.4057500790508275e+17
- y tested = 7650055845.407672
-y predicted = 5842236987.285423
-error 3.268209023782431e+18
- y tested = 5789616901.049658
-y predicted = 6063353438.557598
-error 7.4931691966836e+16
- y tested = 8224428196.629629
-y predicted = 7490412178.323007
-error 5.38779515130708e+17
- y tested = 4059018123.5159216
-y predicted = 5095840764.049459
-error 1.0750011879229379e+18
- y tested = 5947637003.818383
-y predicted = 4056699477.973893
-error 3.5756447266468813e+18
- y tested = 997516184.7000968
-y predicted = 547496536.2409254
-error 2.0251768399931622e+17
- y tested = 6532788063.289651
-y predicted = 6687709662.43474
-error 2.400070188167169e+16
- y tested = 1980229389.772511
-y predicted = 3491384100.290943
-error 2.2835885591220465e+18
- y tested = 5035525633.343237
-y predicted = 5196249025.657813
-error 2.5832008837105156e+16
- y tested = 5026691733.102776
-y predicted = 5312818114.282931
-error 8.186830600725179e+16
- y tested = 1014996574.3865615
-y predicted = 1244178694.041174
-error 5.252444396938109e+16
- y tested = 7665772326.561901
-y predicted = 6789001459.406508
-error 7.687271534924192e+17
- y tested = 3029054692.61153
-y predicted = 4760257472.030971
-error 2.9970630634695967e+18
- y tested = 4062233415.93208
-y predicted = 4803013787.472985
-error 5.48755558860282e+17
- y tested = 5822958761.806049
-y predicted = 6326184346.713564
-error 2.5323598930551014e+17
- y tested = 6611133148.221605
-y predicted = 6345204872.069696
-error 7.07178480571259e+16
- y tested = 5377240292.736961
-y predicted = 3028167455.3464713
-error 5.518143195365808e+18
-error squared vector [2.643928738041485e+18, 1.783201168535372e+18, 4.4057500790508275e+17, 3.268209023782431e+18, 7.4931691966836e+16, 5.38779515130708e+17, 1.0750011879229379e+18, 3.5756447266468813e+18, 2.0251768399931622e+17, 2.400070188167169e+16, 2.2835885591220465e+18, 2.5832008837105156e+16, 8.186830600725179e+16, 5.252444396938109e+16, 7.687271534924192e+17, 2.9970630634695967e+18, 5.48755558860282e+17, 2.5323598930551014e+17, 7.07178480571259e+16, 5.518143195365808e+18]
-Total loo_error 1.3113622786149627e+18
-iteration 280current difference of loo_error -543341828352.0
- getting loo error of with lamda = 0.01375741944053819, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1622919235.8774724
-error 2.6338668459106324e+18
- y tested = 5326600510.288329
-y predicted = 3991753689.829843
-error 1.7818160340881298e+18
- y tested = 5072151352.996373
-y predicted = 4404302092.838615
-error 4.460226342932644e+17
- y tested = 7650055845.407672
-y predicted = 5846578380.592525
-error 3.252530966096071e+18
- y tested = 5789616901.049658
-y predicted = 6064537148.463
-error 7.558114243781344e+16
- y tested = 8224428196.629629
-y predicted = 7494607843.507383
-error 5.3263774783147955e+17
- y tested = 4059018123.5159216
-y predicted = 5095230439.016603
-error 1.0737359627952847e+18
- y tested = 5947637003.818383
-y predicted = 4057792067.127249
-error 3.571513884737118e+18
- y tested = 997516184.7000968
-y predicted = 543263622.6388068
-error 2.0634539013924614e+17
- y tested = 6532788063.289651
-y predicted = 6683314044.456107
-error 2.2658071006124332e+16
- y tested = 1980229389.772511
-y predicted = 3494578138.3880153
-error 2.2932521324333437e+18
- y tested = 5035525633.343237
-y predicted = 5194338217.479637
-error 2.52214368800812e+16
- y tested = 5026691733.102776
-y predicted = 5313083875.057556
-error 8.202045897344718e+16
- y tested = 1014996574.3865615
-y predicted = 1240512742.0894864
-error 5.085754189541373e+16
- y tested = 7665772326.561901
-y predicted = 6791926440.4821825
-error 7.636066326184485e+17
- y tested = 3029054692.61153
-y predicted = 4764106044.3827095
-error 3.010403193282998e+18
- y tested = 4062233415.93208
-y predicted = 4808646137.245429
-error 5.5713195053839955e+17
- y tested = 5822958761.806049
-y predicted = 6330691893.440519
-error 2.5779293295934602e+17
- y tested = 6611133148.221605
-y predicted = 6345265279.1420355
-error 7.068572380891128e+16
- y tested = 5377240292.736961
-y predicted = 3027865689.9221325
-error 5.519561024351335e+18
-error squared vector [2.6338668459106324e+18, 1.7818160340881298e+18, 4.460226342932644e+17, 3.252530966096071e+18, 7.558114243781344e+16, 5.3263774783147955e+17, 1.0737359627952847e+18, 3.571513884737118e+18, 2.0634539013924614e+17, 2.2658071006124332e+16, 2.2932521324333437e+18, 2.52214368800812e+16, 8.202045897344718e+16, 5.085754189541373e+16, 7.636066326184485e+17, 3.010403193282998e+18, 5.5713195053839955e+17, 2.5779293295934602e+17, 7.068572380891128e+16, 5.519561024351335e+18]
-Total loo_error 1.3113620853538445e+18
-iteration 281current difference of loo_error 193261118208.0
- getting loo error of with lamda = 0.013927777561117398, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625922498.8620899
-error 2.643623972034956e+18
- y tested = 5326600510.288329
-y predicted = 3991250675.167731
-error 1.783159182156609e+18
- y tested = 5072151352.996373
-y predicted = 4408269756.11028
-error 4.4073877468402906e+17
- y tested = 7650055845.407672
-y predicted = 5842368292.758325
-error 3.267734288003387e+18
- y tested = 5789616901.049658
-y predicted = 6063388705.663891
-error 7.495100100173378e+16
- y tested = 8224428196.629629
-y predicted = 7490539048.407208
-error 5.3859328187863014e+17
- y tested = 4059018123.5159216
-y predicted = 5095822325.444646
-error 1.074962953137059e+18
- y tested = 5947637003.818383
-y predicted = 4056732792.7978535
-error 3.575518735255172e+18
- y tested = 997516184.7000968
-y predicted = 547368566.978599
-error 2.026328777403398e+17
- y tested = 6532788063.289651
-y predicted = 6687577722.009953
-error 2.395983844674745e+16
- y tested = 1980229389.772511
-y predicted = 3491480236.946047
-error 2.2838791230827297e+18
- y tested = 5035525633.343237
-y predicted = 5196191628.064357
-error 2.581356185972692e+16
- y tested = 5026691733.102776
-y predicted = 5312826106.061868
-error 8.187287938869283e+16
- y tested = 1014996574.3865615
-y predicted = 1244067898.899605
-error 5.24736717141601e+16
- y tested = 7665772326.561901
-y predicted = 6789089827.759917
-error 7.685722037056904e+17
- y tested = 3029054692.61153
-y predicted = 4760373473.317377
-error 2.997464720424782e+18
- y tested = 4062233415.93208
-y predicted = 4803183462.166416
-error 5.490069710146652e+17
- y tested = 5822958761.806049
-y predicted = 6326319647.164386
-error 2.5337218090872832e+17
- y tested = 6611133148.221605
-y predicted = 6345206688.6267185
-error 7.071688191267095e+16
- y tested = 5377240292.736961
-y predicted = 3028158567.0239906
-error 5.518184954078629e+18
-error squared vector [2.643623972034956e+18, 1.783159182156609e+18, 4.4073877468402906e+17, 3.267734288003387e+18, 7.495100100173378e+16, 5.3859328187863014e+17, 1.074962953137059e+18, 3.575518735255172e+18, 2.026328777403398e+17, 2.395983844674745e+16, 2.2838791230827297e+18, 2.581356185972692e+16, 8.187287938869283e+16, 5.24736717141601e+16, 7.685722037056904e+17, 2.997464720424782e+18, 5.490069710146652e+17, 2.5337218090872832e+17, 7.071688191267095e+16, 5.518184954078629e+18]
-Total loo_error 1.311361602621457e+18
-iteration 282current difference of loo_error -482732387584.0
- getting loo error of with lamda = 0.013762581807828468, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623010366.0004861
-error 2.6341626478745303e+18
- y tested = 5326600510.288329
-y predicted = 3991738448.7498727
-error 1.781856723334698e+18
- y tested = 5072151352.996373
-y predicted = 4404422911.027941
-error 4.458612722135902e+17
- y tested = 7650055845.407672
-y predicted = 5846450565.353906
-error 3.2529920062378245e+18
- y tested = 5789616901.049658
-y predicted = 6064501774.593824
-error 7.556169370339245e+16
- y tested = 8224428196.629629
-y predicted = 7494484290.754893
-error 5.328181057236652e+17
- y tested = 4059018123.5159216
-y predicted = 5095248427.742899
-error 1.0737732433983341e+18
- y tested = 5947637003.818383
-y predicted = 4057760164.0341473
-error 3.5716344695528504e+18
- y tested = 997516184.7000968
-y predicted = 543388299.0279673
-error 2.0623213654503872e+17
- y tested = 6532788063.289651
-y predicted = 6683444442.241939
-error 2.2697344519015308e+16
- y tested = 1980229389.772511
-y predicted = 3494483645.8604527
-error 2.2929659520804454e+18
- y tested = 5035525633.343237
-y predicted = 5194394860.690783
-error 2.523943139800614e+16
- y tested = 5026691733.102776
-y predicted = 5313076005.224005
-error 8.201595131840624e+16
- y tested = 1014996574.3865615
-y predicted = 1240620751.9546506
-error 5.0906269503276616e+16
- y tested = 7665772326.561901
-y predicted = 6791840230.473001
-error 7.637573085743393e+17
- y tested = 3029054692.61153
-y predicted = 4763992346.733038
-error 3.0100086636886415e+18
- y tested = 4062233415.93208
-y predicted = 4808479652.089534
-error 5.5688344497916666e+17
- y tested = 5822958761.806049
-y predicted = 6330558175.519007
-error 2.5765716480173808e+17
- y tested = 6611133148.221605
-y predicted = 6345263490.6877165
-error 7.068667479718732e+16
- y tested = 5377240292.736961
-y predicted = 3027874808.269024
-error 5.519518179609266e+18
-error squared vector [2.6341626478745303e+18, 1.781856723334698e+18, 4.458612722135902e+17, 3.2529920062378245e+18, 7.556169370339245e+16, 5.328181057236652e+17, 1.0737732433983341e+18, 3.5716344695528504e+18, 2.0623213654503872e+17, 2.2697344519015308e+16, 2.2929659520804454e+18, 2.523943139800614e+16, 8.201595131840624e+16, 5.0906269503276616e+16, 7.637573085743393e+17, 3.0100086636886415e+18, 5.5688344497916666e+17, 2.5765716480173808e+17, 7.068667479718732e+16, 5.519518179609266e+18]
-Total loo_error 1.3113614341926707e+18
-iteration 283current difference of loo_error 168428786176.0
- getting loo error of with lamda = 0.013922771629199552, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625834367.066983
-error 2.643337388865125e+18
- y tested = 5326600510.288329
-y predicted = 3991265457.7455587
-error 1.7831197025494034e+18
- y tested = 5072151352.996373
-y predicted = 4408153731.90484
-error 4.4089284081521466e+17
- y tested = 7650055845.407672
-y predicted = 5842491775.262652
-error 3.267287867679229e+18
- y tested = 5789616901.049658
-y predicted = 6063421901.7985735
-error 7.496917843511371e+16
- y tested = 8224428196.629629
-y predicted = 7490658361.315199
-error 5.384181712173661e+17
- y tested = 4059018123.5159216
-y predicted = 5095804984.202869
-error 1.0749269944930966e+18
- y tested = 5947637003.818383
-y predicted = 4056764107.5232024
-error 3.5754003099437256e+18
- y tested = 997516184.7000968
-y predicted = 547248218.8380992
-error 2.0274124108150106e+17
- y tested = 6532788063.289651
-y predicted = 6687453585.584656
-error 2.392142378678664e+16
- y tested = 1980229389.772511
-y predicted = 3491570672.4203825
-error 2.2841524726357133e+18
- y tested = 5035525633.343237
-y predicted = 5196137627.793263
-error 2.5796212761215348e+16
- y tested = 5026691733.102776
-y predicted = 5312833624.296643
-error 8.187718189600322e+16
- y tested = 1014996574.3865615
-y predicted = 1243963700.1588733
-error 5.2425944684433656e+16
- y tested = 7665772326.561901
-y predicted = 6789172936.815968
-error 7.684264901029431e+17
- y tested = 3029054692.61153
-y predicted = 4760482585.954293
-error 2.9978425498453596e+18
- y tested = 4062233415.93208
-y predicted = 4803343066.117711
-error 5.4924351359826874e+17
- y tested = 5822958761.806049
-y predicted = 6326446944.855527
-error 2.5350035047046422e+17
- y tested = 6611133148.221605
-y predicted = 6345208397.5615835
-error 7.071597301359475e+16
- y tested = 5377240292.736961
-y predicted = 3028150194.769837
-error 5.518224288367194e+18
-error squared vector [2.643337388865125e+18, 1.7831197025494034e+18, 4.4089284081521466e+17, 3.267287867679229e+18, 7.496917843511371e+16, 5.384181712173661e+17, 1.0749269944930966e+18, 3.5754003099437256e+18, 2.0274124108150106e+17, 2.392142378678664e+16, 2.2841524726357133e+18, 2.5796212761215348e+16, 8.187718189600322e+16, 5.2425944684433656e+16, 7.684264901029431e+17, 2.9978425498453596e+18, 5.4924351359826874e+17, 2.5350035047046422e+17, 7.071597301359475e+16, 5.518224288367194e+18]
-Total loo_error 1.3113610048120876e+18
-iteration 284current difference of loo_error -429380583168.0
- getting loo error of with lamda = 0.013767436044839713, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623096049.7911432
-error 2.634440786577097e+18
- y tested = 5326600510.288329
-y predicted = 3991724117.2669225
-error 1.781894984645841e+18
- y tested = 5072151352.996373
-y predicted = 4404536484.192414
-error 4.457096130481272e+17
- y tested = 7650055845.407672
-y predicted = 5846330392.623508
-error 3.2534255090214354e+18
- y tested = 5789616901.049658
-y predicted = 6064468545.064759
-error 7.554342621780405e+16
- y tested = 8224428196.629629
-y predicted = 7494368127.230308
-error 5.329877049313422e+17
- y tested = 4059018123.5159216
-y predicted = 5095265339.751504
-error 1.0738082931559937e+18
- y tested = 5947637003.818383
-y predicted = 4057730153.855796
-error 3.5717479015355095e+18
- y tested = 997516184.7000968
-y predicted = 543505517.4919418
-error 2.061256859387941e+17
- y tested = 6532788063.289651
-y predicted = 6683566988.144502
-error 2.2734284180384736e+16
- y tested = 1980229389.772511
-y predicted = 3494394828.7224803
-error 2.292696976510553e+18
- y tested = 5035525633.343237
-y predicted = 5194448095.466159
-error 2.525634896721156e+16
- y tested = 5026691733.102776
-y predicted = 5313068608.507892
-error 8.201171476679738e+16
- y tested = 1014996574.3865615
-y predicted = 1240722299.0496483
-error 5.0952102774675656e+16
- y tested = 7665772326.561901
-y predicted = 6791759180.549811
-error 7.638989794019505e+17
- y tested = 3029054692.61153
-y predicted = 4763885469.291903
-error 3.009637823717425e+18
- y tested = 4062233415.93208
-y predicted = 4808323158.571492
-error 5.5664990407174464e+17
- y tested = 5822958761.806049
-y predicted = 6330432509.389788
-error 2.5752960448668378e+17
- y tested = 6611133148.221605
-y predicted = 6345261809.714528
-error 7.068756863954484e+16
- y tested = 5377240292.736961
-y predicted = 3027883368.356757
-error 5.519477958133212e+18
-error squared vector [2.634440786577097e+18, 1.781894984645841e+18, 4.457096130481272e+17, 3.2534255090214354e+18, 7.554342621780405e+16, 5.329877049313422e+17, 1.0738082931559937e+18, 3.5717479015355095e+18, 2.061256859387941e+17, 2.2734284180384736e+16, 2.292696976510553e+18, 2.525634896721156e+16, 8.201171476679738e+16, 5.0952102774675656e+16, 7.638989794019505e+17, 3.009637823717425e+18, 5.5664990407174464e+17, 2.5752960448668378e+17, 7.068756863954484e+16, 5.519477958133212e+18]
-Total loo_error 1.3113608585361065e+18
-iteration 285current difference of loo_error 146275981056.0
- getting loo error of with lamda = 0.013918064490279557, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625751489.1375532
-error 2.6430679041620137e+18
- y tested = 5326600510.288329
-y predicted = 3991279357.901313
-error 1.7830825800121892e+18
- y tested = 5072151352.996373
-y predicted = 4408044601.968102
-error 4.410377767613256e+17
- y tested = 7650055845.407672
-y predicted = 5842607900.070018
-error 3.2668680751053076e+18
- y tested = 5789616901.049658
-y predicted = 6063453146.656891
-error 7.498628940826486e+16
- y tested = 8224428196.629629
-y predicted = 7490770566.336739
-error 5.3825351848697965e+17
- y tested = 4059018123.5159216
-y predicted = 5095788675.195189
-error 1.0748931768293335e+18
- y tested = 5947637003.818383
-y predicted = 4056793542.8646765
-error 3.5752889938313917e+18
- y tested = 997516184.7000968
-y predicted = 547135038.904123
-error 2.028431764884943e+17
- y tested = 6532788063.289651
-y predicted = 6687336795.555823
-error 2.388531064508104e+16
- y tested = 1980229389.772511
-y predicted = 3491655742.7342863
-error 2.2844096204273329e+18
- y tested = 5035525633.343237
-y predicted = 5196086825.362171
-error 2.5779896382541076e+16
- y tested = 5026691733.102776
-y predicted = 5312840696.853734
-error 8.188122945574733e+16
- y tested = 1014996574.3865615
-y predicted = 1243865706.0248022
-error 5.2381079416842344e+16
- y tested = 7665772326.561901
-y predicted = 6789251098.73142
-error 7.682894628374548e+17
- y tested = 3029054692.61153
-y predicted = 4760585217.053152
-error 2.9981979570730793e+18
- y tested = 4062233415.93208
-y predicted = 4803493193.884293
-error 5.4946605840976384e+17
- y tested = 5822958761.806049
-y predicted = 6326566709.046929
-error 2.53620964524173e+17
- y tested = 6611133148.221605
-y predicted = 6345210005.204278
-error 7.071511799221391e+16
- y tested = 5377240292.736961
-y predicted = 3028142309.443743
-error 5.518261335112265e+18
-error squared vector [2.6430679041620137e+18, 1.7830825800121892e+18, 4.410377767613256e+17, 3.2668680751053076e+18, 7.498628940826486e+16, 5.3825351848697965e+17, 1.0748931768293335e+18, 3.5752889938313917e+18, 2.028431764884943e+17, 2.388531064508104e+16, 2.2844096204273329e+18, 2.5779896382541076e+16, 8.188122945574733e+16, 5.2381079416842344e+16, 7.682894628374548e+17, 2.9981979570730793e+18, 5.4946605840976384e+17, 2.53620964524173e+17, 7.071511799221391e+16, 5.518261335112265e+18]
-Total loo_error 1.3113604761680899e+18
-iteration 286current difference of loo_error -382368016640.0
- getting loo error of with lamda = 0.013772000543186374, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623176613.138142
-error 2.634702317168081e+18
- y tested = 5326600510.288329
-y predicted = 3991710641.102664
-error 1.781930962854522e+18
- y tested = 5072151352.996373
-y predicted = 4404643248.689011
-error 4.455670693160088e+17
- y tested = 7650055845.407672
-y predicted = 5846217404.673925
-error 3.253833120268754e+18
- y tested = 5789616901.049658
-y predicted = 6064437328.04372
-error 7.55262670931988e+16
- y tested = 8224428196.629629
-y predicted = 7494258910.187847
-error 5.3314718686290106e+17
- y tested = 4059018123.5159216
-y predicted = 5095281239.658061
-error 1.0738412458766172e+18
- y tested = 5947637003.818383
-y predicted = 4057701924.928535
-error 3.5718546024183767e+18
- y tested = 997516184.7000968
-y predicted = 543615725.0669519
-error 2.0602562725518026e+17
- y tested = 6532788063.289651
-y predicted = 6683682158.831217
-error 2.2769028069307216e+16
- y tested = 1980229389.772511
-y predicted = 3494311344.1157756
-error 2.2924441644679196e+18
- y tested = 5035525633.343237
-y predicted = 5194498128.452517
-error 2.5272254201269936e+16
- y tested = 5026691733.102776
-y predicted = 5313061656.274798
-error 8.200773289755026e+16
- y tested = 1014996574.3865615
-y predicted = 1240817770.9694486
-error 5.099521282612692e+16
- y tested = 7665772326.561901
-y predicted = 6791682981.048114
-error 7.64032183940721e+17
- y tested = 3029054692.61153
-y predicted = 4763785001.036841
-error 3.009289242969377e+18
- y tested = 4062233415.93208
-y predicted = 4808176053.970016
-error 5.564304192429948e+17
- y tested = 5822958761.806049
-y predicted = 6330314406.250677
-error 2.5740974994982355e+17
- y tested = 6611133148.221605
-y predicted = 6345260229.723261
-error 7.06884087908273e+16
- y tested = 5377240292.736961
-y predicted = 3027891405.139412
-error 5.519440195655843e+18
-error squared vector [2.634702317168081e+18, 1.781930962854522e+18, 4.455670693160088e+17, 3.253833120268754e+18, 7.55262670931988e+16, 5.3314718686290106e+17, 1.0738412458766172e+18, 3.5718546024183767e+18, 2.0602562725518026e+17, 2.2769028069307216e+16, 2.2924441644679196e+18, 2.5272254201269936e+16, 8.200773289755026e+16, 5.099521282612692e+16, 7.64032183940721e+17, 3.009289242969377e+18, 5.564304192429948e+17, 2.5740974994982355e+17, 7.06884087908273e+16, 5.519440195655843e+18]
-Total loo_error 1.31136034960627e+18
-iteration 287current difference of loo_error 126561819904.0
- getting loo error of with lamda = 0.013913638310064612, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625673552.2373316
-error 2.6428144981729987e+18
- y tested = 5326600510.288329
-y predicted = 3991292428.314264
-error 1.7830476737852572e+18
- y tested = 5072151352.996373
-y predicted = 4407941958.364121
-error 4.4117411991774234e+17
- y tested = 7650055845.407672
-y predicted = 5842717104.87438
-error 3.2664733230324654e+18
- y tested = 5789616901.049658
-y predicted = 6063482553.239097
-error 7.500239544914667e+16
- y tested = 8224428196.629629
-y predicted = 7490876086.149477
-error 5.380986987898853e+17
- y tested = 4059018123.5159216
-y predicted = 5095773337.136836
-error 1.074861372970148e+18
- y tested = 5947637003.818383
-y predicted = 4056821212.179899
-error 3.575184357909467e+18
- y tested = 997516184.7000968
-y predicted = 547028601.0667665
-error 2.029390630077968e+17
- y tested = 6532788063.289651
-y predicted = 6687226920.692584
-error 2.385136067592351e+16
- y tested = 1980229389.772511
-y predicted = 3491735764.3444524
-error 2.284651520371614e+18
- y tested = 5035525633.343237
-y predicted = 5196039032.816534
-error 2.576455141047426e+16
- y tested = 5026691733.102776
-y predicted = 5312847349.982058
-error 8.188503707156242e+16
- y tested = 1014996574.3865615
-y predicted = 1243773547.8667655
-error 5.233890359476196e+16
- y tested = 7665772326.561901
-y predicted = 6789324607.234019
-error 7.681606047150455e+17
- y tested = 3029054692.61153
-y predicted = 4760681749.8917465
-error 2.998532265504943e+18
- y tested = 4062233415.93208
-y predicted = 4803634405.288993
-error 5.4967542701940954e+17
- y tested = 5822958761.806049
-y predicted = 6326679381.954962
-error 2.5373446316320493e+17
- y tested = 6611133148.221605
-y predicted = 6345211517.517955
-error 7.0714313676088664e+16
- y tested = 5377240292.736961
-y predicted = 3028134883.453915
-error 5.518296223922868e+18
-error squared vector [2.6428144981729987e+18, 1.7830476737852572e+18, 4.4117411991774234e+17, 3.2664733230324654e+18, 7.500239544914667e+16, 5.380986987898853e+17, 1.074861372970148e+18, 3.575184357909467e+18, 2.029390630077968e+17, 2.385136067592351e+16, 2.284651520371614e+18, 2.576455141047426e+16, 8.188503707156242e+16, 5.233890359476196e+16, 7.681606047150455e+17, 2.998532265504943e+18, 5.4967542701940954e+17, 2.5373446316320493e+17, 7.0714313676088664e+16, 5.518296223922868e+18]
-Total loo_error 1.3113600087080402e+18
-iteration 288current difference of loo_error -340898229760.0
- getting loo error of with lamda = 0.013776292596728138, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623252362.3844292
-error 2.6349482317160883e+18
- y tested = 5326600510.288329
-y predicted = 3991697969.2164173
-error 1.7819647941602473e+18
- y tested = 5072151352.996373
-y predicted = 4404743614.372527
-error 4.4543308957499603e+17
- y tested = 7650055845.407672
-y predicted = 5846111171.279037
-error 3.254216387317065e+18
- y tested = 5789616901.049658
-y predicted = 6064408000.016562
-error 7.551014807143918e+16
- y tested = 8224428196.629629
-y predicted = 7494156223.505981
-error 5.332971547299056e+17
- y tested = 4059018123.5159216
-y predicted = 5095296188.181206
-error 1.0738722273064269e+18
- y tested = 5947637003.818383
-y predicted = 4057675372.0988693
-error 3.5719549693718876e+18
- y tested = 997516184.7000968
-y predicted = 543719341.8877158
-error 2.0593157454648486e+17
- y tested = 6532788063.289651
-y predicted = 6683790401.582953
-error 2.280170617004498e+16
- y tested = 1980229389.772511
-y predicted = 3494232870.124252
-error 2.292206538517184e+18
- y tested = 5035525633.343237
-y predicted = 5194545153.587799
-error 2.528720781881071e+16
- y tested = 5026691733.102776
-y predicted = 5313055121.645677
-error 8.200399029777251e+16
- y tested = 1014996574.3865615
-y predicted = 1240907531.9591634
-error 5.1035760751369944e+16
- y tested = 7665772326.561901
-y predicted = 6791611340.980637
-error 7.641574287124077e+17
- y tested = 3029054692.61153
-y predicted = 4763690555.937764
-error 3.0089615783375503e+18
- y tested = 4062233415.93208
-y predicted = 4808037772.2787
-error 5.562241379455963e+17
- y tested = 5822958761.806049
-y predicted = 6330203407.433884
-error 2.5729713051810723e+17
- y tested = 6611133148.221605
-y predicted = 6345258744.611842
-error 7.068919849484723e+16
- y tested = 5377240292.736961
-y predicted = 3027898951.2937584
-error 5.519404738614148e+18
-error squared vector [2.6349482317160883e+18, 1.7819647941602473e+18, 4.4543308957499603e+17, 3.254216387317065e+18, 7.551014807143918e+16, 5.332971547299056e+17, 1.0738722273064269e+18, 3.5719549693718876e+18, 2.0593157454648486e+17, 2.280170617004498e+16, 2.292206538517184e+18, 2.528720781881071e+16, 8.200399029777251e+16, 5.1035760751369944e+16, 7.641574287124077e+17, 3.0089615783375503e+18, 5.562241379455963e+17, 2.5729713051810723e+17, 7.068919849484723e+16, 5.519404738614148e+18]
-Total loo_error 1.311359899648619e+18
-iteration 289current difference of loo_error 109059421184.0
- getting loo error of with lamda = 0.013909476318751385, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625600262.114558
-error 2.6425762119159864e+18
- y tested = 5326600510.288329
-y predicted = 3991304718.517773
-error 1.783014851520156e+18
- y tested = 5072151352.996373
-y predicted = 4407845417.095823
-error 4.413023764727055e+17
- y tested = 7650055845.407672
-y predicted = 5842819801.414784
-error 3.266102118707062e+18
- y tested = 5789616901.049658
-y predicted = 6063510228.198387
-error 7.501755465660086e+16
- y tested = 8224428196.629629
-y predicted = 7490975318.384725
-error 5.379531246057347e+17
- y tested = 4059018123.5159216
-y predicted = 5095758912.3635025
-error 1.0748314632603044e+18
- y tested = 5947637003.818383
-y predicted = 4056847221.9245973
-error 3.5750859993139507e+18
- y tested = 997516184.7000968
-y predicted = 546928504.4491068
-error 2.0302925759396845e+17
- y tested = 6532788063.289651
-y predicted = 6687123554.66931
-error 2.3819443899400704e+16
- y tested = 1980229389.772511
-y predicted = 3491811035.2542496
-error 2.2848790709572803e+18
- y tested = 5035525633.343237
-y predicted = 5195994073.08497
-error 2.5750120153146372e+16
- y tested = 5026691733.102776
-y predicted = 5312853608.404274
-error 8.188861887607032e+16
- y tested = 1014996574.3865615
-y predicted = 1243686878.8586724
-error 5.229925535954677e+16
- y tested = 7665772326.561901
-y predicted = 6789393738.6996
-error 7.680394292635206e+17
- y tested = 3029054692.61153
-y predicted = 4760772545.284074
-error 2.998846721264807e+18
- y tested = 4062233415.93208
-y predicted = 4803767227.405801
-error 5.4987239355874406e+17
- y tested = 5822958761.806049
-y predicted = 6326785380.255956
-error 2.5384126145866752e+17
- y tested = 6611133148.221605
-y predicted = 6345212940.119211
-error 7.0713557077220584e+16
- y tested = 5377240292.736961
-y predicted = 3028127890.6868763
-error 5.51832907746552e+18
-error squared vector [2.6425762119159864e+18, 1.783014851520156e+18, 4.413023764727055e+17, 3.266102118707062e+18, 7.501755465660086e+16, 5.379531246057347e+17, 1.0748314632603044e+18, 3.5750859993139507e+18, 2.0302925759396845e+17, 2.3819443899400704e+16, 2.2848790709572803e+18, 2.5750120153146372e+16, 8.188861887607032e+16, 5.229925535954677e+16, 7.680394292635206e+17, 2.998846721264807e+18, 5.4987239355874406e+17, 2.5384126145866752e+17, 7.0713557077220584e+16, 5.51832907746552e+18]
-Total loo_error 1.31135959536902e+18
-iteration 290current difference of loo_error -304279599104.0
- getting loo error of with lamda = 0.013780328467092479, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623323585.5051877
-error 2.635179462986865e+18
- y tested = 5326600510.288329
-y predicted = 3991686053.6128063
-error 1.7819966066413064e+18
- y tested = 5072151352.996373
-y predicted = 4404837966.230664
-error 4.4530715615672064e+17
- y tested = 7650055845.407672
-y predicted = 5846011288.052547
-error 3.254576764922647e+18
- y tested = 5789616901.049658
-y predicted = 6064380445.237677
-error 7.549500521476136e+16
- y tested = 8224428196.629629
-y predicted = 7494059676.074783
-error 5.3343817581747424e+17
- y tested = 4059018123.5159216
-y predicted = 5095310242.379407
-error 1.073901355618572e+18
- y tested = 5947637003.818383
-y predicted = 4057650396.3535166
-error 3.572049376396556e+18
- y tested = 997516184.7000968
-y predicted = 543816762.8167659
-error 2.058431654172687e+17
- y tested = 6532788063.289651
-y predicted = 6683892136.158437
-error 2.2832440837535348e+16
- y tested = 1980229389.772511
-y predicted = 3494159104.4687104
-error 2.2919831810401157e+18
- y tested = 5035525633.343237
-y predicted = 5194589352.904765
-error 2.5301266880748492e+16
- y tested = 5026691733.102776
-y predicted = 5313048979.386348
-error 8.200047249911042e+16
- y tested = 1014996574.3865615
-y predicted = 1240991924.3336048
-error 5.107389819768656e+16
- y tested = 7665772326.561901
-y predicted = 6791543986.899642
-error 7.642751898686303e+17
- y tested = 3029054692.61153
-y predicted = 4763601771.411533
-error 3.008653568573626e+18
- y tested = 4062233415.93208
-y predicted = 4807907781.927595
-error 5.5603026010281376e+17
- y tested = 5822958761.806049
-y predicted = 6330099082.49494
-error 2.5719130486843066e+17
- y tested = 6611133148.221605
-y predicted = 6345257348.651088
-error 7.068994079726202e+16
- y tested = 5377240292.736961
-y predicted = 3027906037.377883
-error 5.519371443403596e+18
-error squared vector [2.635179462986865e+18, 1.7819966066413064e+18, 4.4530715615672064e+17, 3.254576764922647e+18, 7.549500521476136e+16, 5.3343817581747424e+17, 1.073901355618572e+18, 3.572049376396556e+18, 2.058431654172687e+17, 2.2832440837535348e+16, 2.2919831810401157e+18, 2.5301266880748492e+16, 8.200047249911042e+16, 5.107389819768656e+16, 7.642751898686303e+17, 3.008653568573626e+18, 5.5603026010281376e+17, 2.5719130486843066e+17, 7.068994079726202e+16, 5.519371443403596e+18]
-Total loo_error 1.3113595018120863e+18
-iteration 291current difference of loo_error 93556933632.0
- getting loo error of with lamda = 0.013905562747488994, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625531342.0039144
-error 2.642352143566125e+18
- y tested = 5326600510.288329
-y predicted = 3991316275.088156
-error 1.7829839887741107e+18
- y tested = 5072151352.996373
-y predicted = 4407754616.72271
-error 4.41423023171096e+17
- y tested = 7650055845.407672
-y predicted = 5842916377.004763
-error 3.2657530582595497e+18
- y tested = 5789616901.049658
-y predicted = 6063536272.174557
-error 7.50318218774601e+16
- y tested = 8224428196.629629
-y predicted = 7491068637.101013
-error 5.378162435520056e+17
- y tested = 4059018123.5159216
-y predicted = 5095745346.618943
-error 1.0748033351229024e+18
- y tested = 5947637003.818383
-y predicted = 4056871672.0811186
-error 3.574993539699528e+18
- y tested = 997516184.7000968
-y predicted = 546834371.9231062
-error 2.0311409636795446e+17
- y tested = 6532788063.289651
-y predicted = 6687026314.674628
-error 2.3789438190295464e+16
- y tested = 1980229389.772511
-y predicted = 3491881836.064668
-error 2.2850931183810632e+18
- y tested = 5035525633.343237
-y predicted = 5195951779.36793
-error 2.573654832833628e+16
- y tested = 5026691733.102776
-y predicted = 5312859495.403036
-error 8.189198817993842e+16
- y tested = 1014996574.3865615
-y predicted = 1243605372.7022185
-error 5.2261982667328744e+16
- y tested = 7665772326.561901
-y predicted = 6789458753.166473
-error 7.679254789170637e+17
- y tested = 3029054692.61153
-y predicted = 4760857942.873134
-error 2.9991424976166554e+18
- y tested = 4062233415.93208
-y predicted = 4803892156.43853
-error 5.50057687369614e+17
- y tested = 5822958761.806049
-y predicted = 6326885096.5124655
-error 2.5394175081064294e+17
- y tested = 6611133148.221605
-y predicted = 6345214278.298406
-error 7.0712845381231576e+16
- y tested = 5377240292.736961
-y predicted = 3028121306.4380774
-error 5.518360011789896e+18
-error squared vector [2.642352143566125e+18, 1.7829839887741107e+18, 4.41423023171096e+17, 3.2657530582595497e+18, 7.50318218774601e+16, 5.378162435520056e+17, 1.0748033351229024e+18, 3.574993539699528e+18, 2.0311409636795446e+17, 2.3789438190295464e+16, 2.2850931183810632e+18, 2.573654832833628e+16, 8.189198817993842e+16, 5.2261982667328744e+16, 7.679254789170637e+17, 2.9991424976166554e+18, 5.50057687369614e+17, 2.5394175081064294e+17, 7.0712845381231576e+16, 5.518360011789896e+18]
-Total loo_error 1.31135922990114e+18
-iteration 292current difference of loo_error -271910946304.0
- getting loo error of with lamda = 0.013784123445286314, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623390553.2136595
-error 2.6353968879927864e+18
- y tested = 5326600510.288329
-y predicted = 3991674849.1600604
-error 1.7820265207387453e+18
- y tested = 5072151352.996373
-y predicted = 4404926665.915967
-error 4.45188783049546e+17
- y tested = 7650055845.407672
-y predicted = 5845917374.886201
-error 3.254915620815553e+18
- y tested = 5789616901.049658
-y predicted = 6064354555.219677
-error 7.548077861884504e+16
- y tested = 8224428196.629629
-y predicted = 7493968900.283188
-error 5.335707836189381e+17
- y tested = 4059018123.5159216
-y predicted = 5095323455.873935
-error 1.0739287418736521e+18
- y tested = 5947637003.818383
-y predicted = 4057626904.468488
-error 3.5721381756446e+18
- y tested = 997516184.7000968
-y predicted = 543908358.9774373
-error 2.0576005955683872e+17
- y tested = 6532788063.289651
-y predicted = 6683987756.532814
-error 2.2861347236826624e+16
- y tested = 1980229389.772511
-y predicted = 3494089763.285168
-error 2.291773230491882e+18
- y tested = 5035525633.343237
-y predicted = 5194630897.27908
-error 2.5314485012094412e+16
- y tested = 5026691733.102776
-y predicted = 5313043205.805417
-error 8.199716591897163e+16
- y tested = 1014996574.3865615
-y predicted = 1241071269.8080523
-error 5.110976790991983e+16
- y tested = 7665772326.561901
-y predicted = 6791480661.830332
-error 7.643859150190988e+17
- y tested = 3029054692.61153
-y predicted = 4763518306.875435
-error 3.0083640292054083e+18
- y tested = 4062233415.93208
-y predicted = 4807785583.65186
-error 5.558480347916636e+17
- y tested = 5822958761.806049
-y predicted = 6330001027.428437
-error 2.5709185912748416e+17
- y tested = 6611133148.221605
-y predicted = 6345256036.46142
-error 7.069063855793803e+16
- y tested = 5377240292.736961
-y predicted = 3027912691.9768267
-error 5.51934017569337e+18
-error squared vector [2.6353968879927864e+18, 1.7820265207387453e+18, 4.45188783049546e+17, 3.254915620815553e+18, 7.548077861884504e+16, 5.335707836189381e+17, 1.0739287418736521e+18, 3.5721381756446e+18, 2.0576005955683872e+17, 2.2861347236826624e+16, 2.291773230491882e+18, 2.5314485012094412e+16, 8.199716591897163e+16, 5.110976790991983e+16, 7.643859150190988e+17, 3.0083640292054083e+18, 5.558480347916636e+17, 2.5709185912748416e+17, 7.069063855793803e+16, 5.51934017569337e+18]
-Total loo_error 1.311359150043708e+18
-iteration 293current difference of loo_error 79857432064.0
- getting loo error of with lamda = 0.013901882768634367, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625466531.5912337
-error 2.6421414450523244e+18
- y tested = 5326600510.288329
-y predicted = 3991327141.820463
-error 1.7829549685395213e+18
- y tested = 5072151352.996373
-y predicted = 4407669217.056532
-error 4.415365089831737e+17
- y tested = 7650055845.407672
-y predicted = 5843007195.973878
-error 3.265424821420499e+18
- y tested = 5789616901.049658
-y predicted = 6063560780.112474
-error 7.50452488759831e+16
- y tested = 8224428196.629629
-y predicted = 7491156394.172552
-error 5.376875362786506e+17
- y tested = 4059018123.5159216
-y predicted = 5095732588.855903
-error 1.0747768826451629e+18
- y tested = 5947637003.818383
-y predicted = 4056894656.557469
-error 3.574906623725712e+18
- y tested = 997516184.7000968
-y predicted = 546745848.713178
-error 2.0319389580575968e+17
- y tested = 6532788063.289651
-y predicted = 6686934840.092535
-error 2.376122879871817e+16
- y tested = 1980229389.772511
-y predicted = 3491948430.970168
-error 2.2852944595195638e+18
- y tested = 5035525633.343237
-y predicted = 5195911994.559511
-error 2.5723784864197204e+16
- y tested = 5026691733.102776
-y predicted = 5312865032.903136
-error 8.189515751862712e+16
- y tested = 1014996574.3865615
-y predicted = 1243528722.4204278
-error 5.222694268497298e+16
- y tested = 7665772326.561901
-y predicted = 6789519895.2931795
-error 7.678183233043456e+17
- y tested = 3029054692.61153
-y predicted = 4760938262.353547
-error 2.999420699142353e+18
- y tested = 4062233415.93208
-y predicted = 4804009659.496011
-error 5.5023199551581626e+17
- y tested = 5822958761.806049
-y predicted = 6326978900.52623
-error 2.5403630023551e+17
- y tested = 6611133148.221605
-y predicted = 6345215537.037626
-error 7.071217593779385e+16
- y tested = 5377240292.736961
-y predicted = 3028115107.345091
-error 5.51838913664239e+18
-error squared vector [2.6421414450523244e+18, 1.7829549685395213e+18, 4.415365089831737e+17, 3.265424821420499e+18, 7.50452488759831e+16, 5.376875362786506e+17, 1.0747768826451629e+18, 3.574906623725712e+18, 2.0319389580575968e+17, 2.376122879871817e+16, 2.2852944595195638e+18, 2.5723784864197204e+16, 8.189515751862712e+16, 5.222694268497298e+16, 7.678183233043456e+17, 2.999420699142353e+18, 5.5023199551581626e+17, 2.5403630023551e+17, 7.071217593779385e+16, 5.51838913664239e+18]
-Total loo_error 1.3113589067745539e+18
-iteration 294current difference of loo_error -243269154048.0
- getting loo error of with lamda = 0.013787691909630194, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623453520.0003397
-error 2.6356013313309184e+18
- y tested = 5326600510.288329
-y predicted = 3991664313.4187856
-error 1.7820546497125207e+18
- y tested = 5072151352.996373
-y predicted = 4405010053.180159
-error 4.450775139204683e+17
- y tested = 7650055845.407672
-y predicted = 5845829074.484822
-error 3.255234240914693e+18
- y tested = 5789616901.049658
-y predicted = 6064330228.259972
-error 7.546741214696093e+16
- y tested = 8224428196.629629
-y predicted = 7493883550.597804
-error 5.336954798457646e+17
- y tested = 4059018123.5159216
-y predicted = 5095335879.057657
-error 1.0739544904510606e+18
- y tested = 5947637003.818383
-y predicted = 4057604808.678132
-error 3.572221698666676e+18
- y tested = 997516184.7000968
-y predicted = 543994479.1895375
-error 2.056819373692065e+17
- y tested = 6532788063.289651
-y predicted = 6684077632.522548
-error 2.2888533758675476e+16
- y tested = 1980229389.772511
-y predicted = 3494024579.982858
-error 2.2915758779039813e+18
- y tested = 5035525633.343237
-y predicted = 5194669947.129884
-error 2.532691261062271e+16
- y tested = 5026691733.102776
-y predicted = 5313037778.656765
-error 8.199405780440738e+16
- y tested = 1014996574.3865615
-y predicted = 1241145870.7469523
-error 5.114350424429986e+16
- y tested = 7665772326.561901
-y predicted = 6791421124.270204
-error 7.64490024948937e+17
- y tested = 3029054692.61153
-y predicted = 4763439842.391331
-error 3.0080918477767025e+18
- y tested = 4062233415.93208
-y predicted = 4807670708.496167
-error 5.556767571452768e+17
- y tested = 5822958761.806049
-y predicted = 6329908863.003082
-error 2.5699840510368192e+17
- y tested = 6611133148.221605
-y predicted = 6345254802.991085
-error 7.069129446251971e+16
- y tested = 5377240292.736961
-y predicted = 3027918941.8385606
-error 5.519310809787087e+18
-error squared vector [2.6356013313309184e+18, 1.7820546497125207e+18, 4.450775139204683e+17, 3.255234240914693e+18, 7.546741214696093e+16, 5.336954798457646e+17, 1.0739544904510606e+18, 3.572221698666676e+18, 2.056819373692065e+17, 2.2888533758675476e+16, 2.2915758779039813e+18, 2.532691261062271e+16, 8.199405780440738e+16, 5.114350424429986e+16, 7.64490024948937e+17, 3.0080918477767025e+18, 5.556767571452768e+17, 2.5699840510368192e+17, 7.069129446251971e+16, 5.519310809787087e+18]
-Total loo_error 1.311358838995223e+18
-iteration 295current difference of loo_error 67779330816.0
- getting loo error of with lamda = 0.013898422439573635, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625405586.0394926
-error 2.641943318857486e+18
- y tested = 5326600510.288329
-y predicted = 3991337359.8958654
-error 1.7829276807960072e+18
- y tested = 5072151352.996373
-y predicted = 4407588897.928805
-error 4.416432566854331e+17
- y tested = 7650055845.407672
-y predicted = 5843092601.022896
-error 3.265116166557556e+18
- y tested = 5789616901.049658
-y predicted = 6063583841.566572
-error 7.50578844961985e+16
- y tested = 8224428196.629629
-y predicted = 7491238920.597091
-error 5.375665144891178e+17
- y tested = 4059018123.5159216
-y predicted = 5095720591.047894
-error 1.0747520061868794e+18
- y tested = 5947637003.818383
-y predicted = 4056916263.5624905
-error 3.574824917633791e+18
- y tested = 997516184.7000968
-y predicted = 546662601.0802087
-error 2.0326895386289552e+17
- y tested = 6532788063.289651
-y predicted = 6686848791.252296
-error 2.373470790038027e+16
- y tested = 1980229389.772511
-y predicted = 3492011068.6972895
-error 2.285483844732622e+18
- y tested = 5035525633.343237
-y predicted = 5195874570.697315
-error 2.5711781710582124e+16
- y tested = 5026691733.102776
-y predicted = 5312870241.548575
-error 8.189813869626272e+16
- y tested = 1014996574.3865615
-y predicted = 1243456639.2224953
-error 5.219400122483908e+16
- y tested = 7665772326.561901
-y predicted = 6789577395.258843
-error 7.677175576411699e+17
- y tested = 3029054692.61153
-y predicted = 4761013804.624467
-error 2.9996823656846413e+18
- y tested = 4062233415.93208
-y predicted = 4804120176.26824
-error 5.503959651620832e+17
- y tested = 5822958761.806049
-y predicted = 6327067140.6201315
-error 2.5412525759056214e+17
- y tested = 6611133148.221605
-y predicted = 6345216721.02778
-error 7.071154625152922e+16
- y tested = 5377240292.736961
-y predicted = 3028109271.3224177
-error 5.518416555772137e+18
-error squared vector [2.641943318857486e+18, 1.7829276807960072e+18, 4.416432566854331e+17, 3.265116166557556e+18, 7.50578844961985e+16, 5.375665144891178e+17, 1.0747520061868794e+18, 3.574824917633791e+18, 2.0326895386289552e+17, 2.373470790038027e+16, 2.285483844732622e+18, 2.5711781710582124e+16, 8.189813869626272e+16, 5.219400122483908e+16, 7.677175576411699e+17, 2.9996823656846413e+18, 5.503959651620832e+17, 2.5412525759056214e+17, 7.071154625152922e+16, 5.518416555772137e+18]
-Total loo_error 1.3113586210966088e+18
-iteration 296current difference of loo_error -217898614272.0
- getting loo error of with lamda = 0.01379104738023454, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623512725.107753
-error 2.6357935683162173e+18
- y tested = 5326600510.288329
-y predicted = 3991654406.4820614
-error 1.7820811000675346e+18
- y tested = 5072151352.996373
-y predicted = 4405088447.217501
-error 4.449729202661529e+17
- y tested = 7650055845.407672
-y predicted = 5845746050.989907
-error 3.255533834231876e+18
- y tested = 5789616901.049658
-y predicted = 6064307368.998424
-error 7.54548531819119e+16
- y tested = 8224428196.629629
-y predicted = 7493803302.230123
-error 5.338127363162901e+17
- y tested = 4059018123.5159216
-y predicted = 5095347559.290946
-error 1.0739786994537805e+18
- y tested = 5947637003.818383
-y predicted = 4057584026.36108
-error 3.5723002575952164e+18
- y tested = 997516184.7000968
-y predicted = 544075451.3192097
-error 2.056084986889968e+17
- y tested = 6532788063.289651
-y predicted = 6684162111.302465
-error 2.2914102411785876e+16
- y tested = 1980229389.772511
-y predicted = 3493963304.1735992
-error 2.2913903636080412e+18
- y tested = 5035525633.343237
-y predicted = 5194706653.074142
-error 2.5338597042570936e+16
- y tested = 5026691733.102776
-y predicted = 5313032677.050864
-error 8.199113618108245e+16
- y tested = 1014996574.3865615
-y predicted = 1241216011.336807
-error 5.11752336540861e+16
- y tested = 7665772326.561901
-y predicted = 6791365147.249669
-error 7.645879152327739e+17
- y tested = 3029054692.61153
-y predicted = 4763366077.39728
-error 3.0078359793974656e+18
- y tested = 4062233415.93208
-y predicted = 4807562715.945781
-error 5.555157654589135e+17
- y tested = 5822958761.806049
-y predicted = 6329822233.205412
-error 2.5691057863901245e+17
- y tested = 6611133148.221605
-y predicted = 6345253643.495641
-error 7.06919110333242e+16
- y tested = 5377240292.736961
-y predicted = 3027924811.998243
-error 5.519283228038596e+18
-error squared vector [2.6357935683162173e+18, 1.7820811000675346e+18, 4.449729202661529e+17, 3.255533834231876e+18, 7.54548531819119e+16, 5.338127363162901e+17, 1.0739786994537805e+18, 3.5723002575952164e+18, 2.056084986889968e+17, 2.2914102411785876e+16, 2.2913903636080412e+18, 2.5338597042570936e+16, 8.199113618108245e+16, 5.11752336540861e+16, 7.645879152327739e+17, 3.0078359793974656e+18, 5.555157654589135e+17, 2.5691057863901245e+17, 7.06919110333242e+16, 5.519283228038596e+18]
-Total loo_error 1.3113585639407816e+18
-iteration 297current difference of loo_error 57155827200.0
- getting loo error of with lamda = 0.013895168649896693, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625348275.072147
-error 2.641757015009112e+18
- y tested = 5326600510.288329
-y predicted = 3991346968.0360713
-error 1.7829020220972022e+18
- y tested = 5072151352.996373
-y predicted = 4407513358.029926
-error 4.417436643530187e+17
- y tested = 7650055845.407672
-y predicted = 5843172914.501843
-error 3.2648259259988367e+18
- y tested = 5789616901.049658
-y predicted = 6063605540.990318
-error 7.50697748165329e+16
- y tested = 8224428196.629629
-y predicted = 7491316527.726865
-error 5.3745271908139635e+17
- y tested = 4059018123.5159216
-y predicted = 5095709308.011588
-error 1.0747286120110281e+18
- y tested = 5947637003.818383
-y predicted = 4056936575.9571495
-error 3.574748107914652e+18
- y tested = 997516184.7000968
-y predicted = 546584315.0819465
-error 2.0333955103732054e+17
- y tested = 6532788063.289651
-y predicted = 6686767848.244799
-error 2.3709774174833544e+16
- y tested = 1980229389.772511
-y predicted = 3492069983.3934345
-error 2.2856619805200663e+18
- y tested = 5035525633.343237
-y predicted = 5195839368.445046
-error 2.5700493662293148e+16
- y tested = 5026691733.102776
-y predicted = 5312875140.776066
-error 8.190094282749664e+16
- y tested = 1014996574.3865615
-y predicted = 1243388851.4345431
-error 5.216303221516199e+16
- y tested = 7665772326.561901
-y predicted = 6789631469.61427
-error 7.67622801212929e+17
- y tested = 3029054692.61153
-y predicted = 4761084852.878695
-error 2.9999284760751e+18
- y tested = 4062233415.93208
-y predicted = 4804224120.609885
-error 5.5055020582826624e+17
- y tested = 5822958761.806049
-y predicted = 6327150144.851217
-error 2.5420895073699923e+17
- y tested = 6611133148.221605
-y predicted = 6345217834.685968
-error 7.071095397275608e+16
- y tested = 5377240292.736961
-y predicted = 3028103777.4992523
-error 5.518442367223167e+18
-error squared vector [2.641757015009112e+18, 1.7829020220972022e+18, 4.417436643530187e+17, 3.2648259259988367e+18, 7.50697748165329e+16, 5.3745271908139635e+17, 1.0747286120110281e+18, 3.574748107914652e+18, 2.0333955103732054e+17, 2.3709774174833544e+16, 2.2856619805200663e+18, 2.5700493662293148e+16, 8.190094282749664e+16, 5.216303221516199e+16, 7.67622801212929e+17, 2.9999284760751e+18, 5.5055020582826624e+17, 2.5420895073699923e+17, 7.071095397275608e+16, 5.518442367223167e+18]
-Total loo_error 1.3113583685384084e+18
-iteration 298current difference of loo_error -195402373120.0
- getting loo error of with lamda = 0.013794202570224304, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623568393.4485521
-error 2.6359743279345183e+18
- y tested = 5326600510.288329
-y predicted = 3991645090.8240323
-error 1.7821059719570967e+18
- y tested = 5072151352.996373
-y predicted = 4405162147.925531
-error 4.448745996810335e+17
- y tested = 7650055845.407672
-y predicted = 5845667988.687923
-error 3.255815537477688e+18
- y tested = 5789616901.049658
-y predicted = 6064285888.007818
-error 7.54430523966221e+16
- y tested = 8224428196.629629
-y predicted = 7493727849.883542
-error 5.339229967348519e+17
- y tested = 4059018123.5159216
-y predicted = 5095358541.085433
-error 1.0740014610881492e+18
- y tested = 5947637003.818383
-y predicted = 4057564479.7450485
-error 3.572374146256946e+18
- y tested = 997516184.7000968
-y predicted = 544151583.5440905
-error 2.055394615813447e+17
- y tested = 6532788063.289651
-y predicted = 6684241518.823513
-error 2.2938149193147548e+16
- y tested = 1980229389.772511
-y predicted = 3493905700.6725516
-error 2.2912159741799565e+18
- y tested = 5035525633.343237
-y predicted = 5194741156.537665
-error 2.534958282607558e+16
- y tested = 5026691733.102776
-y predicted = 5313027881.369133
-error 8.198838980401342e+16
- y tested = 1014996574.3865615
-y predicted = 1241281958.6857867
-error 5.120507514744804e+16
- y tested = 7665772326.561901
-y predicted = 6791312517.451073
-error 7.646799577501464e+17
- y tested = 3029054692.61153
-y predicted = 4763296729.518199
-error 3.0075954425741926e+18
- y tested = 4062233415.93208
-y predicted = 4807461192.176808
-error 5.5536443848666323e+17
- y tested = 5822958761.806049
-y predicted = 6329740803.786253
-error 2.5682803807362486e+17
- y tested = 6611133148.221605
-y predicted = 6345252553.5192
-error 7.069249063930454e+16
- y tested = 5377240292.736961
-y predicted = 3027930325.894548
-error 5.519257320305102e+18
-error squared vector [2.6359743279345183e+18, 1.7821059719570967e+18, 4.448745996810335e+17, 3.255815537477688e+18, 7.54430523966221e+16, 5.339229967348519e+17, 1.0740014610881492e+18, 3.572374146256946e+18, 2.055394615813447e+17, 2.2938149193147548e+16, 2.2912159741799565e+18, 2.534958282607558e+16, 8.198838980401342e+16, 5.120507514744804e+16, 7.646799577501464e+17, 3.0075954425741926e+18, 5.5536443848666323e+17, 2.5682803807362486e+17, 7.069249063930454e+16, 5.519257320305102e+18]
-Total loo_error 1.3113583207043963e+18
-iteration 299current difference of loo_error 47834012160.0
- getting loo error of with lamda = 0.013892109071724803, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625294382.1098797
-error 2.641581828247054e+18
- y tested = 5326600510.288329
-y predicted = 3991356002.651325
-error 1.782877895174785e+18
- y tested = 5072151352.996373
-y predicted = 4407442313.811459
-error 4.418381067741323e+17
- y tested = 7650055845.407672
-y predicted = 5843248439.612335
-error 3.264553001636875e+18
- y tested = 5789616901.049658
-y predicted = 6063625958.01348
-error 7.508096329820325e+16
- y tested = 8224428196.629629
-y predicted = 7491389508.42927
-error 5.373457183985036e+17
- y tested = 4059018123.5159216
-y predicted = 5095698697.240318
-error 1.0747066119375443e+18
- y tested = 5947637003.818383
-y predicted = 4056955671.5822115
-error 3.574675900066345e+18
- y tested = 997516184.7000968
-y predicted = 546510695.4053375
-error 2.0340595137400534e+17
- y tested = 6532788063.289651
-y predicted = 6686691709.801942
-error 2.368633240978021e+16
- y tested = 1980229389.772511
-y predicted = 3492125395.4669423
-error 2.2858295320347758e+18
- y tested = 5035525633.343237
-y predicted = 5195806256.600638
-error 2.5689878191781064e+16
- y tested = 5026691733.102776
-y predicted = 5312879748.884317
-error 8.190358037697603e+16
- y tested = 1014996574.3865615
-y predicted = 1243325103.4911418
-error 5.213391720306117e+16
- y tested = 7665772326.561901
-y predicted = 6789682322.081853
-error 7.675336959498509e+17
- y tested = 3029054692.61153
-y predicted = 4761151673.629999
-error 3.0001599516532956e+18
- y tested = 4062233415.93208
-y predicted = 4804321882.036111
-error 5.5069529152463366e+17
- y tested = 5822958761.806049
-y predicted = 6327228222.161297
-error 2.542876886469725e+17
- y tested = 6611133148.221605
-y predicted = 6345218882.171219
-error 7.07103968891157e+16
- y tested = 5377240292.736961
-y predicted = 3028098606.1582994
-error 5.51846666362164e+18
-error squared vector [2.641581828247054e+18, 1.782877895174785e+18, 4.418381067741323e+17, 3.264553001636875e+18, 7.508096329820325e+16, 5.373457183985036e+17, 1.0747066119375443e+18, 3.574675900066345e+18, 2.0340595137400534e+17, 2.368633240978021e+16, 2.2858295320347758e+18, 2.5689878191781064e+16, 8.190358037697603e+16, 5.213391720306117e+16, 7.675336959498509e+17, 3.0001599516532956e+18, 5.5069529152463366e+17, 2.542876886469725e+17, 7.07103968891157e+16, 5.51846666362164e+18]
-Total loo_error 1.3113581452704663e+18
-iteration 300current difference of loo_error -175433929984.0
- getting loo error of with lamda = 0.013797169433906136, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623620736.4657009
-error 2.6361442956108216e+18
- y tested = 5326600510.288329
-y predicted = 3991636331.1577015
-error 1.7821293595619105e+18
- y tested = 5072151352.996373
-y predicted = 4405231437.083998
-error 4.447821742405699e+17
- y tested = 7650055845.407672
-y predicted = 5845594590.795453
-error 3.2560804193967027e+18
- y tested = 5789616901.049658
-y predicted = 6064265701.411223
-error 7.54319635400471e+16
- y tested = 8224428196.629629
-y predicted = 7493656906.57846
-error 5.340266783630504e+17
- y tested = 4059018123.5159216
-y predicted = 5095368866.276727
-error 1.0740228620208724e+18
- y tested = 5947637003.818383
-y predicted = 4057546095.6266675
-error 3.572443641228985e+18
- y tested = 997516184.7000968
-y predicted = 544223165.5431647
-error 2.0547456121640682e+17
- y tested = 6532788063.289651
-y predicted = 6684316161.138689
-error 2.296076443774767e+16
- y tested = 1980229389.772511
-y predicted = 3493851548.5590105
-error 2.2910520395695032e+18
- y tested = 5035525633.343237
-y predicted = 5194773590.327694
-error 2.535991180372347e+16
- y tested = 5026691733.102776
-y predicted = 5313023373.18628
-error 8.198580811290966e+16
- y tested = 1014996574.3865615
-y predicted = 1241343963.856886
-error 5.123314072003072e+16
- y tested = 7665772326.561901
-y predicted = 6791263034.3814125
-error 7.647665021100192e+17
- y tested = 3029054692.61153
-y predicted = 4763231533.450782
-error 3.0073693153032084e+18
- y tested = 4062233415.93208
-y predicted = 4807365748.416371
-error 5.552221929134808e+17
- y tested = 5822958761.806049
-y predicted = 6329664260.901186
-error 2.5675046281325152e+17
- y tested = 6611133148.221605
-y predicted = 6345251528.876089
-error 7.0693035505793976e+16
- y tested = 5377240292.736961
-y predicted = 3027935505.476478
-error 5.519232983445025e+18
-error squared vector [2.6361442956108216e+18, 1.7821293595619105e+18, 4.447821742405699e+17, 3.2560804193967027e+18, 7.54319635400471e+16, 5.340266783630504e+17, 1.0740228620208724e+18, 3.572443641228985e+18, 2.0547456121640682e+17, 2.296076443774767e+16, 2.2910520395695032e+18, 2.535991180372347e+16, 8.198580811290966e+16, 5.123314072003072e+16, 7.647665021100192e+17, 3.0073693153032084e+18, 5.552221929134808e+17, 2.5675046281325152e+17, 7.0693035505793976e+16, 5.519232983445025e+18]
-Total loo_error 1.311358105595703e+18
-iteration 301current difference of loo_error 39674763264.0
- getting loo error of with lamda = 0.013889232113003025, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625243703.4590716
-error 2.641417095362485e+18
- y tested = 5326600510.288329
-y predicted = 3991364497.9782414
-error 1.7828552085697446e+18
- y tested = 5072151352.996373
-y predicted = 4407375498.451438
-error 4.4192693678594886e+17
- y tested = 7650055845.407672
-y predicted = 5843319461.540319
-error 3.2642963607900774e+18
- y tested = 5789616901.049658
-y predicted = 6063645167.704369
-error 7.509149092578526e+16
- y tested = 8224428196.629629
-y predicted = 7491458138.1781225
-error 5.37245106586405e+17
- y tested = 4059018123.5159216
-y predicted = 5095688718.746273
-error 1.0746859230152512e+18
- y tested = 5947637003.818383
-y predicted = 4056973623.567406
-error 3.574608017422051e+18
- y tested = 997516184.7000968
-y predicted = 546441464.2672365
-error 2.0346840341358314e+17
- y tested = 6532788063.289651
-y predicted = 6686620092.236049
-error 2.3664293129765364e+16
- y tested = 1980229389.772511
-y predicted = 3492177512.379367
-error 2.2859871254543962e+18
- y tested = 5035525633.343237
-y predicted = 5195775111.631639
-error 2.5679895291704896e+16
- y tested = 5026691733.102776
-y predicted = 5312884083.09925
-error 8.190606119650442e+16
- y tested = 1014996574.3865615
-y predicted = 1243265154.9863203
-error 5.210654488902855e+16
- y tested = 7665772326.561901
-y predicted = 6789730144.310646
-error 7.674499050835411e+17
- y tested = 3029054692.61153
-y predicted = 4761214517.683537
-error 3.000377659593485e+18
- y tested = 4062233415.93208
-y predicted = 4804413827.132493
-error 5.5083176276961446e+17
- y tested = 5822958761.806049
-y predicted = 6327301663.463511
-error 2.543617624522685e+17
- y tested = 6611133148.221605
-y predicted = 6345219867.398211
-error 7.070987291826161e+16
- y tested = 5377240292.736961
-y predicted = 3028093738.677669
-error 5.518489532448647e+18
-error squared vector [2.641417095362485e+18, 1.7828552085697446e+18, 4.4192693678594886e+17, 3.2642963607900774e+18, 7.509149092578526e+16, 5.37245106586405e+17, 1.0746859230152512e+18, 3.574608017422051e+18, 2.0346840341358314e+17, 2.3664293129765364e+16, 2.2859871254543962e+18, 2.5679895291704896e+16, 8.190606119650442e+16, 5.210654488902855e+16, 7.674499050835411e+17, 3.000377659593485e+18, 5.5083176276961446e+17, 2.543617624522685e+17, 7.070987291826161e+16, 5.518489532448647e+18]
-Total loo_error 1.3113579479049272e+18
-iteration 302current difference of loo_error -157690775808.0
- getting loo error of with lamda = 0.013799959212060588, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623669952.942203
-error 2.6363041158167245e+18
- y tested = 5326600510.288329
-y predicted = 3991628094.3020806
-error 1.7821513514441613e+18
- y tested = 5072151352.996373
-y predicted = 4405296579.462991
-error 4.4469528898425875e+17
- y tested = 7650055845.407672
-y predicted = 5845525578.320084
-error 3.2563294848352026e+18
- y tested = 5789616901.049658
-y predicted = 6064246730.525776
-error 7.54215432380817e+16
- y tested = 8224428196.629629
-y predicted = 7493590202.547028
-error 5.341241735946807e+17
- y tested = 4059018123.5159216
-y predicted = 5095378574.186158
-error 1.074042983713416e+18
- y tested = 5947637003.818383
-y predicted = 4057528805.1075406
-error 3.572509002833946e+18
- y tested = 997516184.7000968
-y predicted = 544290469.6124083
-error 2.0541354881674666e+17
- y tested = 6532788063.289651
-y predicted = 6684386325.641428
-error 2.298203314807823e+16
- y tested = 1980229389.772511
-y predicted = 3493800640.299942
-error 2.2908979304231713e+18
- y tested = 5035525633.343237
-y predicted = 5194804079.168116
-error 2.5369623304388816e+16
- y tested = 5026691733.102776
-y predicted = 5313019135.196346
-error 8.198338118965333e+16
- y tested = 1014996574.3865615
-y predicted = 1241402262.8377054
-error 5.125953576303642e+16
- y tested = 7665772326.561901
-y predicted = 6791216509.596933
-error 7.648478769872621e+17
- y tested = 3029054692.61153
-y predicted = 4763170239.920352
-error 3.007156731418176e+18
- y tested = 4062233415.93208
-y predicted = 4807276019.406928
-error 5.5508848099258e+17
- y tested = 5822958761.806049
-y predicted = 6329592309.83939
-error 2.566775519928511e+17
- y tested = 6611133148.221605
-y predicted = 6345250565.635593
-error 7.069354772260743e+16
- y tested = 5377240292.736961
-y predicted = 3027940371.3039846
-error 5.51921012084499e+18
-error squared vector [2.6363041158167245e+18, 1.7821513514441613e+18, 4.4469528898425875e+17, 3.2563294848352026e+18, 7.54215432380817e+16, 5.341241735946807e+17, 1.074042983713416e+18, 3.572509002833946e+18, 2.0541354881674666e+17, 2.298203314807823e+16, 2.2908979304231713e+18, 2.5369623304388816e+16, 8.198338118965333e+16, 5.125953576303642e+16, 7.648478769872621e+17, 3.007156731418176e+18, 5.5508848099258e+17, 2.566775519928511e+17, 7.069354772260743e+16, 5.51921012084499e+18]
-Total loo_error 1.3113579153532006e+18
-iteration 303current difference of loo_error 32551726592.0
- getting loo error of with lamda = 0.013886526873580527, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625196047.5469477
-error 2.641262192691355e+18
- y tested = 5326600510.288329
-y predicted = 3991372486.2091246
-error 1.7828338762864568e+18
- y tested = 5072151352.996373
-y predicted = 4407312660.879983
-error 4.420104865350323e+17
- y tested = 7650055845.407672
-y predicted = 5843386248.521214
-error 3.264055032313878e+18
- y tested = 5789616901.049658
-y predicted = 6063663240.820606
-error 7.51013963418541e+16
- y tested = 8224428196.629629
-y predicted = 7491522676.081836
-error 5.37150502049432e+17
- y tested = 4059018123.5159216
-y predicted = 5095679334.912643
-error 1.0746664672145188e+18
- y tested = 5947637003.818383
-y predicted = 4056990500.619456
-error 3.5745442000583316e+18
- y tested = 997516184.7000968
-y predicted = 546376360.3795334
-error 2.0352714108798883e+17
- y tested = 6532788063.289651
-y predicted = 6686552728.436458
-error 2.3643572247709596e+16
- y tested = 1980229389.772511
-y predicted = 3492226529.3942432
-error 2.2861353502243e+18
- y tested = 5035525633.343237
-y predicted = 5195745817.236293
-error 2.5670507326724656e+16
- y tested = 5026691733.102776
-y predicted = 5312888159.63587
-error 8.19083945603129e+16
- y tested = 1014996574.3865615
-y predicted = 1243208779.7802446
-error 5.208081069064859e+16
- y tested = 7665772326.561901
-y predicted = 6789775116.586526
-error 7.673711118846415e+17
- y tested = 3029054692.61153
-y predicted = 4761273621.050708
-error 3.000582416042974e+18
- y tested = 4062233415.93208
-y predicted = 4804500300.888236
-error 5.509601285025157e+17
- y tested = 5822958761.806049
-y predicted = 6327370742.671756
-error 2.544314464408658e+17
- y tested = 6611133148.221605
-y predicted = 6345220794.052236
-error 7.07093800998963e+16
- y tested = 5377240292.736961
-y predicted = 3028089157.4750433
-error 5.518511056302359e+18
-error squared vector [2.641262192691355e+18, 1.7828338762864568e+18, 4.420104865350323e+17, 3.264055032313878e+18, 7.51013963418541e+16, 5.37150502049432e+17, 1.0746664672145188e+18, 3.5745442000583316e+18, 2.0352714108798883e+17, 2.3643572247709596e+16, 2.2861353502243e+18, 2.5670507326724656e+16, 8.19083945603129e+16, 5.208081069064859e+16, 7.673711118846415e+17, 3.000582416042974e+18, 5.509601285025157e+17, 2.544314464408658e+17, 7.07093800998963e+16, 5.518511056302359e+18]
-Total loo_error 1.3113577734450898e+18
-iteration 304current difference of loo_error -141908110848.0
- getting loo error of with lamda = 0.01380258247453089, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623716229.761049
-error 2.636454394518817e+18
- y tested = 5326600510.288329
-y predicted = 3991620349.055694
-error 1.7821720308847122e+18
- y tested = 5072151352.996373
-y predicted = 4405357823.859362
-error 4.4461361049899066e+17
- y tested = 7650055845.407672
-y predicted = 5845460688.989666
-error 3.256563678567327e+18
- y tested = 5789616901.049658
-y predicted = 6064228901.530727
-error 7.541175080821494e+16
- y tested = 8224428196.629629
-y predicted = 7493527484.197153
-error 5.3421585143430106e+17
- y tested = 4059018123.5159216
-y predicted = 5095387701.773101
-error 1.0740619027369636e+18
- y tested = 5947637003.818383
-y predicted = 4057512543.3443823
-error 3.572570476082133e+18
- y tested = 997516184.7000968
-y predicted = 544353751.7139835
-error 2.0535619066989363e+17
- y tested = 6532788063.289651
-y predicted = 6684452282.225904
-error 2.300203530554385e+16
- y tested = 1980229389.772511
-y predicted = 3493752780.926548
-error 2.290753055570416e+18
- y tested = 5035525633.343237
-y predicted = 5194832740.199644
-error 2.5378754294958732e+16
- y tested = 5026691733.102776
-y predicted = 5313015151.142481
-error 8.198109971793982e+16
- y tested = 1014996574.3865615
-y predicted = 1241457077.4496539
-error 5.128435944758886e+16
- y tested = 7665772326.561901
-y predicted = 6791172765.973194
-error 7.649243913819593e+17
- y tested = 3029054692.61153
-y predicted = 4763112614.700492
-error 3.006956877159489e+18
- y tested = 4062233415.93208
-y predicted = 4807191661.966178
-error 5.5496278833419994e+17
- y tested = 5822958761.806049
-y predicted = 6329524673.835441
-error 2.56609023230169e+17
- y tested = 6611133148.221605
-y predicted = 6345249660.104295
-error 7.069402925342801e+16
- y tested = 5377240292.736961
-y predicted = 3027944942.6382256
-error 5.519188641995542e+18
-error squared vector [2.636454394518817e+18, 1.7821720308847122e+18, 4.4461361049899066e+17, 3.256563678567327e+18, 7.541175080821494e+16, 5.3421585143430106e+17, 1.0740619027369636e+18, 3.572570476082133e+18, 2.0535619066989363e+17, 2.300203530554385e+16, 2.290753055570416e+18, 2.5378754294958732e+16, 8.198109971793982e+16, 5.128435944758886e+16, 7.649243913819593e+17, 3.006956877159489e+18, 5.5496278833419994e+17, 2.56609023230169e+17, 7.069402925342801e+16, 5.519188641995542e+18]
-Total loo_error 1.311357747094629e+18
-iteration 305current difference of loo_error 26350460672.0
- getting loo error of with lamda = 0.013883983103912357, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625151234.202408
-error 2.641116533758752e+18
- y tested = 5326600510.288329
-y predicted = 3991379997.6147623
-error 1.7828138174642627e+18
- y tested = 5072151352.996373
-y predicted = 4407253564.858023
-error 4.420890686712708e+17
- y tested = 7650055845.407672
-y predicted = 5843449052.843691
-error 3.2638281029383153e+18
- y tested = 5789616901.049658
-y predicted = 6063680244.04716
-error 7.511071597496661e+16
- y tested = 8224428196.629629
-y predicted = 7491583365.851812
-error 5.370615459977669e+17
- y tested = 4059018123.5159216
-y predicted = 5095670510.353674
-error 1.074648171136409e+18
- y tested = 5947637003.818383
-y predicted = 4057006367.292909
-error 3.5744842037687194e+18
- y tested = 997516184.7000968
-y predicted = 546315137.9745541
-error 2.0358238456622544e+17
- y tested = 6532788063.289651
-y predicted = 6686489366.921343
-error 2.3624090738081556e+16
- y tested = 1980229389.772511
-y predicted = 3492272630.2840652
-error 2.286274761176682e+18
- y tested = 5035525633.343237
-y predicted = 5195718263.927996
-error 2.5661678893664988e+16
- y tested = 5026691733.102776
-y predicted = 5312891993.756899
-error 8.191058919848813e+16
- y tested = 1014996574.3865615
-y predicted = 1243155765.1566398
-error 5.2056616332856984e+16
- y tested = 7665772326.561901
-y predicted = 6789817408.501832
-error 7.672970184736224e+17
- y tested = 3029054692.61153
-y predicted = 4761329205.81057
-error 3.000774989078971e+18
- y tested = 4062233415.93208
-y predicted = 4804581627.951045
-error 5.5108086788775456e+17
- y tested = 5822958761.806049
-y predicted = 6327435717.672879
-error 2.5449699900066342e+17
- y tested = 6611133148.221605
-y predicted = 6345221665.602579
-error 7.0708916588648664e+16
- y tested = 5377240292.736961
-y predicted = 3028084845.9534717
-error 5.518531313152538e+18
-error squared vector [2.641116533758752e+18, 1.7828138174642627e+18, 4.420890686712708e+17, 3.2638281029383153e+18, 7.511071597496661e+16, 5.370615459977669e+17, 1.074648171136409e+18, 3.5744842037687194e+18, 2.0358238456622544e+17, 2.3624090738081556e+16, 2.286274761176682e+18, 2.5661678893664988e+16, 8.191058919848813e+16, 5.2056616332856984e+16, 7.672970184736224e+17, 3.000774989078971e+18, 5.5108086788775456e+17, 2.5449699900066342e+17, 7.0708916588648664e+16, 5.518531313152538e+18]
-Total loo_error 1.311357619239933e+18
-iteration 306current difference of loo_error -127854696192.0
- getting loo error of with lamda = 0.013805049160269721, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623759742.6197948
-error 2.636595701482076e+18
- y tested = 5326600510.288329
-y predicted = 3991613066.0792055
-error 1.782191476196008e+18
- y tested = 5072151352.996373
-y predicted = 4405415404.070745
-error 4.4453682558975725e+17
- y tested = 7650055845.407672
-y predicted = 5845399676.246421
-error 3.256783888891762e+18
- y tested = 5789616901.049658
-y predicted = 6064212145.158071
-error 7.540254808695878e+16
- y tested = 8224428196.629629
-y predicted = 7493468513.137424
-error 5.34302058891024e+17
- y tested = 4059018123.5159216
-y predicted = 5095396283.77749
-error 1.0740796910671525e+18
- y tested = 5947637003.818383
-y predicted = 4057497249.314334
-error 3.572628291556628e+18
- y tested = 997516184.7000968
-y predicted = 544413252.4593158
-error 2.0530226720519386e+17
- y tested = 6532788063.289651
-y predicted = 6684514284.371899
-error 2.3020846163899116e+16
- y tested = 1980229389.772511
-y predicted = 3493707787.2644544
-error 2.290616859674781e+18
- y tested = 5035525633.343237
-y predicted = 5194859683.44865
-error 2.53873395229944e+16
- y tested = 5026691733.102776
-y predicted = 5313011405.754235
-error 8.197895494723904e+16
- y tested = 1014996574.3865615
-y predicted = 1241508616.2047737
-error 5.130770508865549e+16
- y tested = 7665772326.561901
-y predicted = 6791131637.022498
-error 7.649963357979622e+17
- y tested = 3029054692.61153
-y predicted = 4763058437.695595
-error 3.006768987965563e+18
- y tested = 4062233415.93208
-y predicted = 4807112353.637543
-error 5.5484463183721894e+17
- y tested = 5822958761.806049
-y predicted = 6329461092.956167
-error 2.5654461146050368e+17
- y tested = 6611133148.221605
-y predicted = 6345248808.812754
-error 7.069448194288141e+16
- y tested = 5377240292.736961
-y predicted = 3027949237.529693
-error 5.51916846207688e+18
-error squared vector [2.636595701482076e+18, 1.782191476196008e+18, 4.4453682558975725e+17, 3.256783888891762e+18, 7.540254808695878e+16, 5.34302058891024e+17, 1.0740796910671525e+18, 3.572628291556628e+18, 2.0530226720519386e+17, 2.3020846163899116e+16, 2.290616859674781e+18, 2.53873395229944e+16, 8.197895494723904e+16, 5.130770508865549e+16, 7.649963357979622e+17, 3.006768987965563e+18, 5.5484463183721894e+17, 2.5654461146050368e+17, 7.069448194288141e+16, 5.51916846207688e+18]
-Total loo_error 1.3113575982722573e+18
-iteration 307current difference of loo_error 20967675648.0
- getting loo error of with lamda = 0.013881591166226217, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625109093.9801502
-error 2.6409795670661335e+18
- y tested = 5326600510.288329
-y predicted = 3991387060.658865
-error 1.7827949560714135e+18
- y tested = 5072151352.996373
-y predicted = 4407197988.110123
-error 4.42162977473547e+17
- y tested = 7650055845.407672
-y predicted = 5843508111.794344
-error 3.2636147138234516e+18
- y tested = 5789616901.049658
-y predicted = 6063696240.220799
-error 7.511948416048968e+16
- y tested = 8224428196.629629
-y predicted = 7491640436.712789
-error 5.369779010839411e+17
- y tested = 4059018123.5159216
-y predicted = 5095662211.782959
-error 1.0746309657389972e+18
- y tested = 5947637003.818383
-y predicted = 4057021284.243818
-error 3.5744277991024517e+18
- y tested = 997516184.7000968
-y predicted = 546257565.8865527
-error 2.0363434105350755e+17
- y tested = 6532788063.289651
-y predicted = 6686429770.94052
-error 2.3605774329875212e+16
- y tested = 1980229389.772511
-y predicted = 3492315987.9970055
-error 2.2864058805301238e+18
- y tested = 5035525633.343237
-y predicted = 5195692348.643323
-error 2.565337669001881e+16
- y tested = 5026691733.102776
-y predicted = 5312895599.8272295
-error 8.1912653328029e+16
- y tested = 1014996574.3865615
-y predicted = 1243105911.0305676
-error 5.203386946416852e+16
- y tested = 7665772326.561901
-y predicted = 6789857179.586039
-error 7.672273447017468e+17
- y tested = 3029054692.61153
-y predicted = 4761381480.92521
-error 3.00095610150919e+18
- y tested = 4062233415.93208
-y predicted = 4804658113.813509
-error 5.511944320243314e+17
- y tested = 5822958761.806049
-y predicted = 6327496831.246876
-error 2.545586635150762e+17
- y tested = 6611133148.221605
-y predicted = 6345222485.314085
-error 7.070848064791689e+16
- y tested = 5377240292.736961
-y predicted = 3028080788.450604
-error 5.518550376578925e+18
-error squared vector [2.6409795670661335e+18, 1.7827949560714135e+18, 4.42162977473547e+17, 3.2636147138234516e+18, 7.511948416048968e+16, 5.369779010839411e+17, 1.0746309657389972e+18, 3.5744277991024517e+18, 2.0363434105350755e+17, 2.3605774329875212e+16, 2.2864058805301238e+18, 2.565337669001881e+16, 8.1912653328029e+16, 5.203386946416852e+16, 7.672273447017468e+17, 3.00095610150919e+18, 5.511944320243314e+17, 2.545586635150762e+17, 7.070848064791689e+16, 5.518550376578925e+18]
-Total loo_error 1.3113574829446666e+18
-iteration 308current difference of loo_error -115327590656.0
- getting loo error of with lamda = 0.013807368614995675, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623800656.7017775
-error 2.6367285724344904e+18
- y tested = 5326600510.288329
-y predicted = 3991606217.7837224
-error 1.7822097610198756e+18
- y tested = 5072151352.996373
-y predicted = 4405469539.807636
-error 4.444646400366219e+17
- y tested = 7650055845.407672
-y predicted = 5845342308.301282
-error 3.2569909510150574e+18
- y tested = 5789616901.049658
-y predicted = 6064196396.403872
-error 7.539389926897467e+16
- y tested = 8224428196.629629
-y predicted = 7493413065.263389
-error 5.3438312228640186e+17
- y tested = 4059018123.5159216
-y predicted = 5095404352.854133
-error 1.0740964163618751e+18
- y tested = 5947637003.818383
-y predicted = 4057482865.5919843
-error 3.572682666254381e+18
- y tested = 997516184.7000968
-y predicted = 544469198.0350627
-error 2.0525157212626765e+17
- y tested = 6532788063.289651
-y predicted = 6684572570.159295
-error 2.3038536525661056e+16
- y tested = 1980229389.772511
-y predicted = 3493665487.21074
-error 2.2904888210290568e+18
- y tested = 5035525633.343237
-y predicted = 5194885012.267125
-error 2.5395411651007384e+16
- y tested = 5026691733.102776
-y predicted = 5313007884.685343
-error 8.19769386570516e+16
- y tested = 1014996574.3865615
-y predicted = 1241557075.1058683
-error 5.132966048618303e+16
- y tested = 7665772326.561901
-y predicted = 6791092966.250196
-error 7.650639833552928e+17
- y tested = 3029054692.61153
-y predicted = 4763007502.080356
-error 3.006592345464834e+18
- y tested = 4062233415.93208
-y predicted = 4807037791.425134
-error 5.547335577535981e+17
- y tested = 5822958761.806049
-y predicted = 6329401323.060233
-error 2.5648406784969766e+17
- y tested = 6611133148.221605
-y predicted = 6345248008.501631
-error 7.069490752391037e+16
- y tested = 5377240292.736961
-y predicted = 3027953272.8953147
-error 5.519149501596446e+18
-error squared vector [2.6367285724344904e+18, 1.7822097610198756e+18, 4.444646400366219e+17, 3.2569909510150574e+18, 7.539389926897467e+16, 5.3438312228640186e+17, 1.0740964163618751e+18, 3.572682666254381e+18, 2.0525157212626765e+17, 2.3038536525661056e+16, 2.2904888210290568e+18, 2.5395411651007384e+16, 8.19769386570516e+16, 5.132966048618303e+16, 7.650639833552928e+17, 3.006592345464834e+18, 5.547335577535981e+17, 2.5648406784969766e+17, 7.069490752391037e+16, 5.519149501596446e+18]
-Total loo_error 1.3113574666348344e+18
-iteration 309current difference of loo_error 16309832192.0
- getting loo error of with lamda = 0.01387934199800711, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625069467.5224538
-error 2.6408507740028667e+18
- y tested = 5326600510.288329
-y predicted = 3991393702.1054225
-error 1.7827772206179853e+18
- y tested = 5072151352.996373
-y predicted = 4407145721.50712
-error 4.422324899124202e+17
- y tested = 7650055845.407672
-y predicted = 5843563648.546464
-error 3.263414057320433e+18
- y tested = 5789616901.049658
-y predicted = 6063711288.546593
-error 7.51277332573199e+16
- y tested = 8224428196.629629
-y predicted = 7491694104.261135
-error 5.3689925011908077e+17
- y tested = 4059018123.5159216
-y predicted = 5095654407.889906
-error 1.0746147860807002e+18
- y tested = 5947637003.818383
-y predicted = 4057035308.4679546
-error 3.5743747704619146e+18
- y tested = 997516184.7000968
-y predicted = 546203426.6888446
-error 2.0368320554372317e+17
- y tested = 6532788063.289651
-y predicted = 6686373717.628495
-error 2.3588553218690964e+16
- y tested = 1980229389.772511
-y predicted = 3492356765.286446
-error 2.2865291997786614e+18
- y tested = 5035525633.343237
-y predicted = 5195667974.3717
-error 2.564556939007666e+16
- y tested = 5026691733.102776
-y predicted = 5312898991.366374
-error 8.191459468276614e+16
- y tested = 1014996574.3865615
-y predicted = 1243059029.2015486
-error 5.201248329623802e+16
- y tested = 7665772326.561901
-y predicted = 6789894579.899482
-error 7.671618270984372e+17
- y tested = 3029054692.61153
-y predicted = 4761430643.005751
-error 3.00112643350428e+18
- y tested = 4062233415.93208
-y predicted = 4804730045.9303465
-error 5.51301245558783e+17
- y tested = 5822958761.806049
-y predicted = 6327554311.935104
-error 2.5461666921004368e+17
- y tested = 6611133148.221605
-y predicted = 6345223256.259765
-error 7.070807064315775e+16
- y tested = 5377240292.736961
-y predicted = 3028076970.1883965
-error 5.518568316007413e+18
-error squared vector [2.6408507740028667e+18, 1.7827772206179853e+18, 4.422324899124202e+17, 3.263414057320433e+18, 7.51277332573199e+16, 5.3689925011908077e+17, 1.0746147860807002e+18, 3.5743747704619146e+18, 2.0368320554372317e+17, 2.3588553218690964e+16, 2.2865291997786614e+18, 2.564556939007666e+16, 8.191459468276614e+16, 5.201248329623802e+16, 7.671618270984372e+17, 3.00112643350428e+18, 5.51301245558783e+17, 2.5461666921004368e+17, 7.070807064315775e+16, 5.518568316007413e+18]
-Total loo_error 1.3113573624852495e+18
-iteration 310current difference of loo_error -104149584896.0
- getting loo error of with lamda = 0.013809549626602082, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623839127.3063226
-error 2.63685351110032e+18
- y tested = 5326600510.288329
-y predicted = 3991599778.2270823
-error 1.782226954604065e+18
- y tested = 5072151352.996373
-y predicted = 4405520437.550082
-error 4.4439677742875994e+17
- y tested = 7650055845.407672
-y predicted = 5845288367.247578
-error 3.257185650224346e+18
- y tested = 5789616901.049658
-y predicted = 6064181594.257895
-error 7.538577075653366e+16
- y tested = 8224428196.629629
-y predicted = 7493360929.897593
-error 5.3445934848705075e+17
- y tested = 4059018123.5159216
-y predicted = 5095411939.697849
-error 1.0741121422201393e+18
- y tested = 5947637003.818383
-y predicted = 4057469338.14076
-error 3.5727338043731953e+18
- y tested = 997516184.7000968
-y predicted = 544521801.0706872
-error 2.0520391159978877e+17
- y tested = 6532788063.289651
-y predicted = 6684627363.219758
-error 2.3055173003265028e+16
- y tested = 1980229389.772511
-y predicted = 3493625719.0575805
-error 2.2903684494935224e+18
- y tested = 5035525633.343237
-y predicted = 5194908823.741656
-error 2.5403001381578804e+16
- y tested = 5026691733.102776
-y predicted = 5313004574.457384
-error 8.197504312454923e+16
- y tested = 1014996574.3865615
-y predicted = 1241602638.4028077
-error 5.135030824893507e+16
- y tested = 7665772326.561901
-y predicted = 6791056606.5528345
-error 7.651275908309797e+17
- y tested = 3029054692.61153
-y predicted = 4762959613.491153
-error 3.0064262746505713e+18
- y tested = 4062233415.93208
-y predicted = 4806967690.607039
-error 5.546291398756383e+17
- y tested = 5822958761.806049
-y predicted = 6329345134.822199
-error 2.564271587764509e+17
- y tested = 6611133148.221605
-y predicted = 6345247256.10855
-error 7.069530762475525e+16
- y tested = 5377240292.736961
-y predicted = 3027957064.5945582
-error 5.519131686031191e+18
-error squared vector [2.63685351110032e+18, 1.782226954604065e+18, 4.4439677742875994e+17, 3.257185650224346e+18, 7.538577075653366e+16, 5.3445934848705075e+17, 1.0741121422201393e+18, 3.5727338043731953e+18, 2.0520391159978877e+17, 2.3055173003265028e+16, 2.2903684494935224e+18, 2.5403001381578804e+16, 8.197504312454923e+16, 5.135030824893507e+16, 7.651275908309797e+17, 3.0064262746505713e+18, 5.546291398756383e+17, 2.564271587764509e+17, 7.069530762475525e+16, 5.519131686031191e+18]
-Total loo_error 1.311357350191782e+18
-iteration 311current difference of loo_error 12293467648.0
- getting loo error of with lamda = 0.013877227077661503, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1625032204.9610462
-error 2.6407296668897213e+18
- y tested = 5326600510.288329
-y predicted = 3991399947.120957
-error 1.7827605438824678e+18
- y tested = 5072151352.996373
-y predicted = 4407096568.294982
-error 4.422978666542138e+17
- y tested = 7650055845.407672
-y predicted = 5843615872.996222
-error 3.263225373925882e+18
- y tested = 5789616901.049658
-y predicted = 6063725444.799264
-error 7.513549375652974e+16
- y tested = 8224428196.629629
-y predicted = 7491744571.272108
-error 5.3682529486704026e+17
- y tested = 4059018123.5159216
-y predicted = 5095647069.223176
-error 1.0745995710781338e+18
- y tested = 5947637003.818383
-y predicted = 4057048493.523106
-error 3.5743249152605153e+18
- y tested = 997516184.7000968
-y predicted = 546152515.8799107
-error 2.037291615308187e+17
- y tested = 6532788063.289651
-y predicted = 6686320997.204217
-error 2.3572361796414504e+16
- y tested = 1980229389.772511
-y predicted = 3492395115.304708
-error 2.2866451814743158e+18
- y tested = 5035525633.343237
-y predicted = 5195645049.804934
-error 2.5638227528034244e+16
- y tested = 5026691733.102776
-y predicted = 5312902181.097901
-error 8.19164205415706e+16
- y tested = 1014996574.3865615
-y predicted = 1243014942.6512578
-error 5.199237626609463e+16
- y tested = 7665772326.561901
-y predicted = 6789929750.591793
-error 7.671002178819544e+17
- y tested = 3029054692.61153
-y predicted = 4761476877.036004
-error 3.001286625086067e+18
- y tested = 4062233415.93208
-y predicted = 4804797694.772541
-error 5.514017082098543e+17
- y tested = 5822958761.806049
-y predicted = 6327608374.861449
-error 2.5467123195696483e+17
- y tested = 6611133148.221605
-y predicted = 6345223981.331646
-error 7.070768503611225e+16
- y tested = 5377240292.736961
-y predicted = 3028073377.226726
-error 5.518585196927873e+18
-error squared vector [2.6407296668897213e+18, 1.7827605438824678e+18, 4.422978666542138e+17, 3.263225373925882e+18, 7.513549375652974e+16, 5.3682529486704026e+17, 1.0745995710781338e+18, 3.5743249152605153e+18, 2.037291615308187e+17, 2.3572361796414504e+16, 2.2866451814743158e+18, 2.5638227528034244e+16, 8.19164205415706e+16, 5.199237626609463e+16, 7.671002178819544e+17, 3.001286625086067e+18, 5.514017082098543e+17, 2.5467123195696483e+17, 7.070768503611225e+16, 5.518585196927873e+18]
-Total loo_error 1.3113572560275287e+18
-iteration 312current difference of loo_error -94164253184.0
- getting loo error of with lamda = 0.013811600458452367, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623875300.442118
-error 2.636970991115333e+18
- y tested = 5326600510.288329
-y predicted = 3991593723.015035
-error 1.782243122065762e+18
- y tested = 5072151352.996373
-y predicted = 4405568291.350514
-error 4.443329780731667e+17
- y tested = 7650055845.407672
-y predicted = 5845237648.226144
-error 3.2573687248775813e+18
- y tested = 5789616901.049658
-y predicted = 6064167681.452408
-error 7.537813101975906e+16
- y tested = 8224428196.629629
-y predicted = 7493311908.981848
-error 5.345310260638734e+17
- y tested = 4059018123.5159216
-y predicted = 5095419073.162387
-error 1.0741269284280951e+18
- y tested = 5947637003.818383
-y predicted = 4057456616.11442
-error 3.572781898060705e+18
- y tested = 997516184.7000968
-y predicted = 544571261.4545465
-error 2.0515910349391754e+17
- y tested = 6532788063.289651
-y predicted = 6684678873.62611
-error 2.307081826466621e+16
- y tested = 1980229389.772511
-y predicted = 3493588330.8578176
-error 2.2902552845628406e+18
- y tested = 5035525633.343237
-y predicted = 5194931209.080496
-error 2.5410137576126988e+16
- y tested = 5026691733.102776
-y predicted = 5313001462.407469
-error 8.19732610945267e+16
- y tested = 1014996574.3865615
-y predicted = 1241645479.2984254
-error 5.136972609774714e+16
- y tested = 7665772326.561901
-y predicted = 6791022419.650907
-error 7.651873996407936e+17
- y tested = 3029054692.61153
-y predicted = 4762914589.269422
-error 3.006270141238515e+18
- y tested = 4062233415.93208
-y predicted = 4806901783.62267
-error 5.545309778389683e+17
- y tested = 5822958761.806049
-y predicted = 6329292312.820845
-error 2.5637366488325232e+17
- y tested = 6611133148.221605
-y predicted = 6345246548.75611
-error 7.069568377532462e+16
- y tested = 5377240292.736961
-y predicted = 3027960627.4969697
-error 5.519114945510128e+18
-error squared vector [2.636970991115333e+18, 1.782243122065762e+18, 4.443329780731667e+17, 3.2573687248775813e+18, 7.537813101975906e+16, 5.345310260638734e+17, 1.0741269284280951e+18, 3.572781898060705e+18, 2.0515910349391754e+17, 2.307081826466621e+16, 2.2902552845628406e+18, 2.5410137576126988e+16, 8.19732610945267e+16, 5.136972609774714e+16, 7.651873996407936e+17, 3.006270141238515e+18, 5.545309778389683e+17, 2.5637366488325232e+17, 7.069568377532462e+16, 5.519114945510128e+18]
-Total loo_error 1.3113572471840543e+18
-iteration 313current difference of loo_error 8843474432.0
- getting loo error of with lamda = 0.013875238392230923, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1624997165.3529036
-error 2.6406157871341394e+18
- y tested = 5326600510.288329
-y predicted = 3991405819.3696017
-error 1.782744862657556e+18
- y tested = 5072151352.996373
-y predicted = 4407050343.368822
-error 4.423593530075878e+17
- y tested = 7650055845.407672
-y predicted = 5843664982.550941
-error 3.2630479494122834e+18
- y tested = 5789616901.049658
-y predicted = 6063738761.517078
-error 7.514279438612e+16
- y tested = 8224428196.629629
-y predicted = 7491792028.4592085
-error 5.3675575491143686e+17
- y tested = 4059018123.5159216
-y predicted = 5095640168.080599
-error 1.0745852632774516e+18
- y tested = 5947637003.818383
-y predicted = 4057060889.73904
-error 3.5742780431273503e+18
- y tested = 997516184.7000968
-y predicted = 546104641.1184646
-error 2.0377238167875187e+17
- y tested = 6532788063.289651
-y predicted = 6686271412.214756
-error 2.355713839726556e+16
- y tested = 1980229389.772511
-y predicted = 3492431182.1628227
-error 2.2867542609084713e+18
- y tested = 5035525633.343237
-y predicted = 5195623489.007488
-error 2.5631323388291452e+16
- y tested = 5026691733.102776
-y predicted = 5312905180.994802
-error 8.1918137754242e+16
- y tested = 1014996574.3865615
-y predicted = 1242973484.8823295
-error 5.197347171919539e+16
- y tested = 7665772326.561901
-y predicted = 6789962824.429303
-error 7.67042284025749e+17
- y tested = 3029054692.61153
-y predicted = 4761520357.053811
-error 3.0014372784714353e+18
- y tested = 4062233415.93208
-y predicted = 4804861314.821092
-error 5.514961962083084e+17
- y tested = 5822958761.806049
-y predicted = 6327659222.507483
-error 2.547225550322389e+17
- y tested = 6611133148.221605
-y predicted = 6345224663.251361
-error 7.0707322379170696e+16
- y tested = 5377240292.736961
-y predicted = 3028069996.4187794
-error 5.518601081103655e+18
-error squared vector [2.6406157871341394e+18, 1.782744862657556e+18, 4.423593530075878e+17, 3.2630479494122834e+18, 7.514279438612e+16, 5.3675575491143686e+17, 1.0745852632774516e+18, 3.5742780431273503e+18, 2.0377238167875187e+17, 2.355713839726556e+16, 2.2867542609084713e+18, 2.5631323388291452e+16, 8.1918137754242e+16, 5.197347171919539e+16, 7.67042284025749e+17, 3.0014372784714353e+18, 5.514961962083084e+17, 2.547225550322389e+17, 7.0707322379170696e+16, 5.518601081103655e+18]
-Total loo_error 1.311357161949035e+18
-iteration 314current difference of loo_error -85235019264.0
- getting loo error of with lamda = 0.01381352888068808, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623909313.3842955
-error 2.6370814578256026e+18
- y tested = 5326600510.288329
-y predicted = 3991588029.208928
-error 1.7822583246377782e+18
- y tested = 5072151352.996373
-y predicted = 4405613283.587677
-error 4.442729979710719e+17
- y tested = 7650055845.407672
-y predicted = 5845189958.641512
-error 3.2575408692121974e+18
- y tested = 5789616901.049658
-y predicted = 6064154604.22743
-error 7.537095046612674e+16
- y tested = 8224428196.629629
-y predicted = 7493265816.3194475
-error 5.345984263808507e+17
- y tested = 4059018123.5159216
-y predicted = 5095425780.371646
-error 1.0741408311891729e+18
- y tested = 5947637003.818383
-y predicted = 4057444651.6714354
-error 3.5728271281148114e+18
- y tested = 997516184.7000968
-y predicted = 544617767.100041
-error 2.0511697666463456e+17
- y tested = 6532788063.289651
-y predicted = 6684727298.726423
-error 2.3085531265110936e+16
- y tested = 1980229389.772511
-y predicted = 3493553179.82835
-error 2.2901488935489692e+18
- y tested = 5035525633.343237
-y predicted = 5194952253.973029
-error 2.541684736543569e+16
- y tested = 5026691733.102776
-y predicted = 5312998536.637266
-error 8.197158575013739e+16
- y tested = 1014996574.3865615
-y predicted = 1241685760.6152062
-error 5.138798715300517e+16
- y tested = 7665772326.561901
-y predicted = 6790990275.557905
-error 7.652436367587576e+17
- y tested = 3029054692.61153
-y predicted = 4762872257.750837
-error 3.006123349185597e+18
- y tested = 4062233415.93208
-y predicted = 4806839819.028974
-error 5.544386955328939e+17
- y tested = 5822958761.806049
-y predicted = 6329242654.683303
-error 2.5632338018694634e+17
- y tested = 6611133148.221605
-y predicted = 6345245883.740662
-error 7.06960374131593e+16
- y tested = 5377240292.736961
-y predicted = 3027963975.5468917
-error 5.519099214510137e+18
-error squared vector [2.6370814578256026e+18, 1.7822583246377782e+18, 4.442729979710719e+17, 3.2575408692121974e+18, 7.537095046612674e+16, 5.345984263808507e+17, 1.0741408311891729e+18, 3.5728271281148114e+18, 2.0511697666463456e+17, 2.3085531265110936e+16, 2.2901488935489692e+18, 2.541684736543569e+16, 8.197158575013739e+16, 5.138798715300517e+16, 7.652436367587576e+17, 3.006123349185597e+18, 5.544386955328939e+17, 2.5632338018694634e+17, 7.06960374131593e+16, 5.519099214510137e+18]
-Total loo_error 1.3113571560566195e+18
-iteration 315current difference of loo_error 5892415488.0
- getting loo error of with lamda = 0.013873368407032655, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1624964216.1498327
-error 2.6405087034966134e+18
- y tested = 5326600510.288329
-y predicted = 3991411341.102754
-error 1.782730117510466e+18
- y tested = 5072151352.996373
-y predicted = 4407006872.58848
-error 4.424171798170862e+17
- y tested = 7650055845.407672
-y predicted = 5843711162.869301
-error 3.262881112134649e+18
- y tested = 5789616901.049658
-y predicted = 6063751288.183839
-error 7.514966220943304e+16
- y tested = 8224428196.629629
-y predicted = 7491836655.18998
-error 5.366903665889218e+17
- y tested = 4059018123.5159216
-y predicted = 5095633678.405454
-error 1.0745718086389325e+18
- y tested = 5947637003.818383
-y predicted = 4057072544.413779
-error 3.574233975163824e+18
- y tested = 997516184.7000968
-y predicted = 546059621.5024298
-error 2.038130284542491e+17
- y tested = 6532788063.289651
-y predicted = 6686224776.82202
-error 2.3542825059614164e+16
- y tested = 1980229389.772511
-y predicted = 3492465101.4593787
-error 2.2868568477010872e+18
- y tested = 5035525633.343237
-y predicted = 5195603211.104565
-error 2.5624830901933932e+16
- y tested = 5026691733.102776
-y predicted = 5312908002.324159
-error 8.191975276700725e+16
- y tested = 1014996574.3865615
-y predicted = 1242934499.2946005
-error 5.195569761138282e+16
- y tested = 7665772326.561901
-y predicted = 6789993926.290424
-error 7.66987806382067e+17
- y tested = 3029054692.61153
-y predicted = 4761561246.793383
-error 3.001578960283077e+18
- y tested = 4062233415.93208
-y predicted = 4804921145.503583
-error 5.5158506365607424e+17
- y tested = 5822958761.806049
-y predicted = 6327707045.44401
-error 2.5477082983546694e+17
- y tested = 6611133148.221605
-y predicted = 6345225304.579903
-error 7.0706981310180184e+16
- y tested = 5377240292.736961
-y predicted = 3028066815.367224
-error 5.518616026777423e+18
-error squared vector [2.6405087034966134e+18, 1.782730117510466e+18, 4.424171798170862e+17, 3.262881112134649e+18, 7.514966220943304e+16, 5.366903665889218e+17, 1.0745718086389325e+18, 3.574233975163824e+18, 2.038130284542491e+17, 2.3542825059614164e+16, 2.2868568477010872e+18, 2.5624830901933932e+16, 8.191975276700725e+16, 5.195569761138282e+16, 7.66987806382067e+17, 3.001578960283077e+18, 5.5158506365607424e+17, 2.5477082983546694e+17, 7.0706981310180184e+16, 5.518616026777423e+18]
-Total loo_error 1.3113570788149745e+18
-iteration 316current difference of loo_error -77241645056.0
- getting loo error of with lamda = 0.013815342199668219, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623941295.197315
-error 2.637185329976476e+18
- y tested = 5326600510.288329
-y predicted = 3991582675.23924
-error 1.7822726198991565e+18
- y tested = 5072151352.996373
-y predicted = 4405655585.674366
-error 4.442166078581511e+17
- y tested = 7650055845.407672
-y predicted = 5845145117.427039
-error 3.257702735979578e+18
- y tested = 5789616901.049658
-y predicted = 6064142312.11054
-error 7.536420131814654e+16
- y tested = 8224428196.629629
-y predicted = 7493222476.862653
-error 5.3466180461994195e+17
- y tested = 4059018123.5159216
-y predicted = 5095432086.822291
-error 1.0741539033364172e+18
- y tested = 5947637003.818383
-y predicted = 4057433399.7983603
-error 3.5728696646502835e+18
- y tested = 997516184.7000968
-y predicted = 544661494.6653883
-error 2.050773702864319e+17
- y tested = 6532788063.289651
-y predicted = 6684772823.925301
-error 2.309936746547573e+16
- y tested = 1980229389.772511
-y predicted = 3493520131.7940855
-error 2.2900488698882076e+18
- y tested = 5035525633.343237
-y predicted = 5194972038.928372
-error 2.5423156254019516e+16
- y tested = 5026691733.102776
-y predicted = 5312995785.96652
-error 8.197001068620594e+16
- y tested = 1014996574.3865615
-y predicted = 1241723635.4181514
-error 5.140516020402227e+16
- y tested = 7665772326.561901
-y predicted = 6790960052.080379
-error 7.652965155835347e+17
- y tested = 3029054692.61153
-y predicted = 4762832457.597956
-error 3.005985338361326e+18
- y tested = 4062233415.93208
-y predicted = 4806781560.521923
-error 5.543519396121782e+17
- y tested = 5822958761.806049
-y predicted = 6329195970.284645
-error 2.562761112482012e+17
- y tested = 6611133148.221605
-y predicted = 6345245258.521829
-error 7.069636988900059e+16
- y tested = 5377240292.736961
-y predicted = 3027967121.822681
-error 5.519084431577638e+18
-error squared vector [2.637185329976476e+18, 1.7822726198991565e+18, 4.442166078581511e+17, 3.257702735979578e+18, 7.536420131814654e+16, 5.3466180461994195e+17, 1.0741539033364172e+18, 3.5728696646502835e+18, 2.050773702864319e+17, 2.309936746547573e+16, 2.2900488698882076e+18, 2.5423156254019516e+16, 8.197001068620594e+16, 5.140516020402227e+16, 7.652965155835347e+17, 3.005985338361326e+18, 5.543519396121782e+17, 2.562761112482012e+17, 7.069636988900059e+16, 5.519084431577638e+18]
-Total loo_error 1.3113570754347195e+18
-iteration 317current difference of loo_error 3380254976.0
- getting loo error of with lamda = 0.013871610037112521, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1624933232.699558
-error 2.640408010460614e+18
- y tested = 5326600510.288329
-y predicted = 3991416533.2435374
-error 1.782716252557147e+18
- y tested = 5072151352.996373
-y predicted = 4406965992.133464
-error 4.424715643063189e+17
- y tested = 7650055845.407672
-y predicted = 5843754588.558657
-error 3.262724230494332e+18
- y tested = 5789616901.049658
-y predicted = 6063763071.402036
-error 7.515612271887499e+16
- y tested = 8224428196.629629
-y predicted = 7491878620.158126
-error 5.366288819885788e+17
- y tested = 4059018123.5159216
-y predicted = 5095627575.690186
-error 1.0745591563370276e+18
- y tested = 5947637003.818383
-y predicted = 4057083501.9976344
-error 3.574192543246696e+18
- y tested = 997516184.7000968
-y predicted = 546017286.891411
-error 2.038512547224582e+17
- y tested = 6532788063.289651
-y predicted = 6686180916.129478
-error 2.3529367302340988e+16
- y tested = 1980229389.772511
-y predicted = 3492497000.7769456
-error 2.2869533272930598e+18
- y tested = 5035525633.343237
-y predicted = 5195584139.987678
-error 2.5618725549248452e+16
- y tested = 5026691733.102776
-y predicted = 5312910655.687646
-error 8.1921271645644e+16
- y tested = 1014996574.3865615
-y predicted = 1242897838.6001391
-error 5.193898623014692e+16
- y tested = 7665772326.561901
-y predicted = 6790023173.631255
-error 7.669365788587439e+17
- y tested = 3029054692.61153
-y predicted = 4761599700.290978
-error 3.001712203634981e+18
- y tested = 4062233415.93208
-y predicted = 4804977412.077172
-error 5.516686438095812e+17
- y tested = 5822958761.806049
-y predicted = 6327752023.022067
-error 2.548162365691027e+17
- y tested = 6611133148.221605
-y predicted = 6345225907.727251
-error 7.0706660547322344e+16
- y tested = 5377240292.736961
-y predicted = 3028063822.384425
-error 5.518630088858e+18
-error squared vector [2.640408010460614e+18, 1.782716252557147e+18, 4.424715643063189e+17, 3.262724230494332e+18, 7.515612271887499e+16, 5.366288819885788e+17, 1.0745591563370276e+18, 3.574192543246696e+18, 2.038512547224582e+17, 2.3529367302340988e+16, 2.2869533272930598e+18, 2.5618725549248452e+16, 8.1921271645644e+16, 5.193898623014692e+16, 7.669365788587439e+17, 3.001712203634981e+18, 5.516686438095812e+17, 2.548162365691027e+17, 7.0706660547322344e+16, 5.518630088858e+18]
-Total loo_error 1.3113570053565112e+18
-iteration 318current difference of loo_error -70078208256.0
- getting loo error of with lamda = 0.01381704728565138, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623971367.2272017
-error 2.637283001303125e+18
- y tested = 5326600510.288329
-y predicted = 3991577640.823658
-error 1.7822860619936842e+18
- y tested = 5072151352.996373
-y predicted = 4405695358.720887
-error 4.441635923057266e+17
- y tested = 7650055845.407672
-y predicted = 5845102954.351369
-error 3.2578549389325066e+18
- y tested = 5789616901.049658
-y predicted = 6064130757.710817
-error 7.535785749898363e+16
- y tested = 8224428196.629629
-y predicted = 7493181726.042529
-error 5.3472140074609056e+17
- y tested = 4059018123.5159216
-y predicted = 5095438016.483735
-error 1.074166194539414e+18
- y tested = 5947637003.818383
-y predicted = 4057422818.1447687
-error 3.5729096677217654e+18
- y tested = 997516184.7000968
-y predicted = 544702610.2301948
-error 2.050401332242095e+17
- y tested = 6532788063.289651
-y predicted = 6684815623.415832
-error 2.311237903791947e+16
- y tested = 1980229389.772511
-y predicted = 3493489060.662484
-error 2.2899548315420298e+18
- y tested = 5035525633.343237
-y predicted = 5194990639.591824
-error 2.542908821786178e+16
- y tested = 5026691733.102776
-y predicted = 5312993199.89007
-error 8.196852988455622e+16
- y tested = 1014996574.3865615
-y predicted = 1241759247.6036267
-error 5.14213099645495e+16
- y tested = 7665772326.561901
-y predicted = 6790931634.348262
-error 7.653462367528396e+17
- y tested = 3029054692.61153
-y predicted = 4762795037.174691
-error 3.0058555823659894e+18
- y tested = 4062233415.93208
-y predicted = 4806726786.016126
-error 5.542703780991001e+17
- y tested = 5822958761.806049
-y predicted = 6329152080.996913
-error 2.5623167639346352e+17
- y tested = 6611133148.221605
-y predicted = 6345244670.712257
-error 7.0696682472239016e+16
- y tested = 5377240292.736961
-y predicted = 3027970078.5926876
-error 5.519070539065482e+18
-error squared vector [2.637283001303125e+18, 1.7822860619936842e+18, 4.441635923057266e+17, 3.2578549389325066e+18, 7.535785749898363e+16, 5.3472140074609056e+17, 1.074166194539414e+18, 3.5729096677217654e+18, 2.050401332242095e+17, 2.311237903791947e+16, 2.2899548315420298e+18, 2.542908821786178e+16, 8.196852988455622e+16, 5.14213099645495e+16, 7.653462367528396e+17, 3.0058555823659894e+18, 5.542703780991001e+17, 2.5623167639346352e+17, 7.0696682472239016e+16, 5.519070539065482e+18]
-Total loo_error 1.311357004103077e+18
-iteration 319current difference of loo_error 1253434112.0
- getting loo error of with lamda = 0.013869956620401577, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1624904097.7765172
-error 2.6403133267001e+18
- y tested = 5326600510.288329
-y predicted = 3991421415.4660177
-error 1.7827032152505267e+18
- y tested = 5072151352.996373
-y predicted = 4406927547.8957815
-error 4.4252271087250995e+17
- y tested = 7650055845.407672
-y predicted = 5843795423.831412
-error 3.2625767105528474e+18
- y tested = 5789616901.049658
-y predicted = 6063774155.056807
-error 7.516219992474027e+16
- y tested = 8224428196.629629
-y predicted = 7491918082.017866
-error 5.365710680085382e+17
- y tested = 4059018123.5159216
-y predicted = 5095621836.8836155
-error 1.074547258567692e+18
- y tested = 5947637003.818383
-y predicted = 4057093804.2654896
-error 3.5741535893756923e+18
- y tested = 997516184.7000968
-y predicted = 545977477.2681389
-error 2.0388720430932333e+17
- y tested = 6532788063.289651
-y predicted = 6686139665.545513
-error 2.3516713914440172e+16
- y tested = 1980229389.772511
-y predicted = 3492527000.153048
-error 2.2870440623626826e+18
- y tested = 5035525633.343237
-y predicted = 5195566204.037807
-error 2.561298426824383e+16
- y tested = 5026691733.102776
-y predicted = 5312913151.060836
-error 8.192270009792262e+16
- y tested = 1014996574.3865615
-y predicted = 1242863364.2706354
-error 5.1923273932072664e+16
- y tested = 7665772326.561901
-y predicted = 6790050676.926786
-error 7.668884076396466e+17
- y tested = 3029054692.61153
-y predicted = 4761635862.454327
-error 3.001837510093834e+18
- y tested = 4062233415.93208
-y predicted = 4805030326.460056
-error 5.5174725028990675e+17
- y tested = 5822958761.806049
-y predicted = 6327794324.024642
-error 2.5485894488056253e+17
- y tested = 6611133148.221605
-y predicted = 6345226474.960908
-error 7.070635888457126e+16
- y tested = 5377240292.736961
-y predicted = 3028061006.4531612
-error 5.518643319104864e+18
-error squared vector [2.6403133267001e+18, 1.7827032152505267e+18, 4.4252271087250995e+17, 3.2625767105528474e+18, 7.516219992474027e+16, 5.365710680085382e+17, 1.074547258567692e+18, 3.5741535893756923e+18, 2.0388720430932333e+17, 2.3516713914440172e+16, 2.2870440623626826e+18, 2.561298426824383e+16, 8.192270009792262e+16, 5.1923273932072664e+16, 7.668884076396466e+17, 3.001837510093834e+18, 5.5174725028990675e+17, 2.5485894488056253e+17, 7.070635888457126e+16, 5.518643319104864e+18]
-Total loo_error 1.3113569404515361e+18
-iteration 320current difference of loo_error -63651540992.0
- getting loo error of with lamda = 0.013818650598825628, printing X, y
-[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
- [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 2. 0. 1. 0. 0. 0.]
- [0. 0. 0. 1. 0. 0. 1. 1. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 1. 0.]
- [2. 1. 0. 0. 1. 0. 1. 0. 0. 0.]
- [0. 1. 1. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 1. 2. 0. 1. 1. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
[2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
- [1. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
- [2. 1. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
- [0. 0. 0. 0. 2. 0. 1. 1. 1. 0.]
- [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+X = [[1. 0. 1. 1. 0. 0. 1. 0. 0. 1.]
+ [2. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 1. 0. 0.]
+ [2. 1. 1. 0. 0. 2. 1. 0. 0. 0.]
+ [2. 0. 0. 1. 0. 0. 0. 0. 0. 0.]
+ [0. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 1. 2. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 1. 1. 0. 1. 0. 0. 1. 0.]
+ [1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 0. 1. 0. 0. 0. 0. 1.]
+ [1. 1. 0. 0. 0. 1. 1. 1. 0. 0.]
[0. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
- [2. 1. 1. 1. 2. 0. 1. 0. 0. 0.]
- [2. 1. 0. 0. 2. 0. 1. 1. 0. 0.]
- [2. 1. 1. 1. 0. 0. 0. 0. 0. 0.]] [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- y tested = 0.08333333333333333
-y predicted = 1623999643.5645733
-error 2.637374842027195e+18
- y tested = 5326600510.288329
-y predicted = 3991572906.889891
-error 1.782298701835777e+18
- y tested = 5072151352.996373
-y predicted = 4405732754.158034
-error 4.441137488776548e+17
- y tested = 7650055845.407672
-y predicted = 5845063309.36925
-error 3.257998055154413e+18
- y tested = 5789616901.049658
-y predicted = 6064119896.528383
-error 7.535189452679315e+16
- y tested = 8224428196.629629
-y predicted = 7493143409.1404295
-error 5.347774404131239e+17
- y tested = 4059018123.5159216
-y predicted = 5095443591.888527
-error 1.0741777514913743e+18
- y tested = 5947637003.818383
-y predicted = 4057412866.8670797
-error 3.5729472879133e+18
- y tested = 997516184.7000968
-y predicted = 544741269.9307941
-error 2.0500512344434934e+17
- y tested = 6532788063.289651
-y predicted = 6684855860.865278
-error 2.312461505950197e+16
- y tested = 1980229389.772511
-y predicted = 3493459847.9334197
-error 2.2898664195058737e+18
- y tested = 5035525633.343237
-y predicted = 5195008127.042503
-error 2.5434665796536556e+16
- y tested = 5026691733.102776
-y predicted = 5312990768.535275
-error 8.196713768957982e+16
- y tested = 1014996574.3865615
-y predicted = 1241792732.448318
-error 5.143649731157323e+16
- y tested = 7665772326.561901
-y predicted = 6790904914.375413
-error 7.653929889058825e+17
- y tested = 3029054692.61153
-y predicted = 4762759853.959382
-error 3.0057335864841825e+18
- y tested = 4062233415.93208
-y predicted = 4806675286.78468
-error 5.5419369907852006e+17
- y tested = 5822958761.806049
-y predicted = 6329110818.985398
-error 2.561899049868869e+17
- y tested = 6611133148.221605
-y predicted = 6345244118.068511
-error 7.069697635575309e+16
- y tested = 5377240292.736961
-y predicted = 3027972857.3668447
-error 5.519057482890486e+18
-error squared vector [2.637374842027195e+18, 1.782298701835777e+18, 4.441137488776548e+17, 3.257998055154413e+18, 7.535189452679315e+16, 5.347774404131239e+17, 1.0741777514913743e+18, 3.5729472879133e+18, 2.0500512344434934e+17, 2.312461505950197e+16, 2.2898664195058737e+18, 2.5434665796536556e+16, 8.196713768957982e+16, 5.143649731157323e+16, 7.653929889058825e+17, 3.0057335864841825e+18, 5.5419369907852006e+17, 2.561899049868869e+17, 7.069697635575309e+16, 5.519057482890486e+18]
-Total loo_error 1.3113569409874378e+18
-End finding regularisation parameter: number of iterations = 321, result = 0.013818650598825628 error = 1.3113569409874378e+18 Last error difference:535901696.0
----> end added for lambda exploration
-Train set, energy by workload : [8.33333333e-02 5.32660051e+09 5.07215135e+09 7.65005585e+09
- 5.78961690e+09 8.22442820e+09 4.05901812e+09 5.94763700e+09
- 9.97516185e+08 6.53278806e+09 1.98022939e+09 5.03552563e+09
- 5.02669173e+09 1.01499657e+09 7.66577233e+09 3.02905469e+09
- 4.06223342e+09 5.82295876e+09 6.61113315e+09 5.37724029e+09]
- ***** Training the datas *****
- **** Predicted y test = [3.70379494e+09 3.42310550e+09 4.20699794e+09 3.49119859e+09
- 3.05355572e+09 1.77363662e+09 5.56866636e+09 1.85364014e+09
- 3.59509876e+09 1.94348618e+09]
-Start computin r squared, result =
-column mean vector= [3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387]
- diff with mean vector [ 7.29420550e+08 -2.27434581e+09 8.80728397e+08 3.84686602e+07
- -3.63854534e+08 -1.25063214e+09 1.78914733e+09 -2.25912945e+09
- 3.98059224e+09 -1.27039524e+09]
- diff with mean vector squared [5.32054339e+17 5.17264886e+18 7.75682510e+17 1.47983782e+15
- 1.32390122e+17 1.56408075e+18 3.20104816e+18 5.10366589e+18
- 1.58451146e+19 1.61390406e+18]
- diff with predicted vector [ 2.94877502e+08 -2.42819942e+09 -5.70176486e+07 -1.83478038e+08
- -1.48158359e+08 2.44983130e+08 -5.10267146e+08 -8.43517703e+08
- 3.65474536e+09 5.53704729e+07]
- diff with predicted vector squared [8.69527411e+16 5.89615244e+18 3.25101225e+15 3.36641906e+16
- 2.19508994e+16 6.00167338e+16 2.60372560e+17 7.11522115e+17
- 1.33571637e+19 3.06588927e+15]
-End computing r squared, result = 0.39797093085645974
- Kernel ridge R2 score = 0.39797093085645974
-printing plots
-Start computin r squared, result =
-column mean vector= [3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387]
- diff with mean vector [ 7.29420550e+08 -2.27434581e+09 8.80728397e+08 3.84686602e+07
- -3.63854534e+08 -1.25063214e+09 1.78914733e+09 -2.25912945e+09
- 3.98059224e+09 -1.27039524e+09]
- diff with mean vector squared [5.32054339e+17 5.17264886e+18 7.75682510e+17 1.47983782e+15
- 1.32390122e+17 1.56408075e+18 3.20104816e+18 5.10366589e+18
- 1.58451146e+19 1.61390406e+18]
- diff with predicted vector [ 2.94877502e+08 -2.42819942e+09 -5.70176486e+07 -1.83478038e+08
- -1.48158359e+08 2.44983130e+08 -5.10267146e+08 -8.43517703e+08
- 3.65474536e+09 5.53704729e+07]
- diff with predicted vector squared [8.69527411e+16 5.89615244e+18 3.25101225e+15 3.36641906e+16
- 2.19508994e+16 6.00167338e+16 2.60372560e+17 7.11522115e+17
- 1.33571637e+19 3.06588927e+15]
-End computing r squared, result = 0.39797093085645974
-Start computin r squared, result =
-column mean vector= [3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387]
- diff with mean vector [ 7.29420550e+08 -2.27434581e+09 8.80728397e+08 3.84686602e+07
- -3.63854534e+08 -1.25063214e+09 1.78914733e+09 -2.25912945e+09
- 3.98059224e+09 -1.27039524e+09]
- diff with mean vector squared [5.32054339e+17 5.17264886e+18 7.75682510e+17 1.47983782e+15
- 1.32390122e+17 1.56408075e+18 3.20104816e+18 5.10366589e+18
- 1.58451146e+19 1.61390406e+18]
- diff with predicted vector [ 2.94877502e+08 -2.42819942e+09 -5.70176486e+07 -1.83478038e+08
- -1.48158359e+08 2.44983130e+08 -5.10267146e+08 -8.43517703e+08
- 3.65474536e+09 5.53704729e+07]
- diff with predicted vector squared [8.69527411e+16 5.89615244e+18 3.25101225e+15 3.36641906e+16
- 2.19508994e+16 6.00167338e+16 2.60372560e+17 7.11522115e+17
- 1.33571637e+19 3.06588927e+15]
-End computing r squared, result = 0.39797093085645974
+ [0. 0. 0. 1. 0. 2. 1. 1. 0. 0.]
+ [1. 0. 0. 1. 0. 0. 0. 0. 1. 0.]
+ [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [0. 1. 0. 0. 0. 0. 1. 1. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 1. 1. 0. 1. 1. 1. 1. 0.]
+ [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 1. 0. 1. 0. 1. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 0. 1. 0. 0. 0.]
+ [1. 1. 0. 0. 0. 1. 1. 0. 0. 0.]
+ [0. 0. 0. 1. 1. 0. 1. 1. 0. 0.]
+ [0. 1. 1. 1. 1. 0. 0. 1. 0. 1.]
+ [2. 1. 1. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 1. 0. 0. 0. 2. 1. 0. 0. 0.]
+ [1. 0. 1. 0. 0. 0. 1. 1. 0. 0.]
+ [1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
+ [2. 0. 0. 0. 1. 0. 1. 0. 0. 1.]
+ [0. 0. 1. 0. 1. 1. 0. 1. 0. 0.]
+ [0. 0. 0. 0. 0. 2. 1. 1. 1. 0.]
+ [0. 0. 0. 0. 0. 1. 1. 0. 0. 0.]]
+ ***** END in marginal_effect *****, margin = [-318832172.2086933, -750825726.0535247, -1136889782.8201854, -1461095066.8930154, -2851620839.593662, -219090685.044323, -3311012110.96559, -2884690358.215931, -2511497256.669151, -2563406395.758262]
+ ***** END in function marginal_effect *****, pointwise margin = [[-5.10523534e+08 -1.41625518e+09 -1.67344442e+09 -1.04082275e+09
+ -3.44149051e+09 -7.25531315e+07 -2.99657378e+09 -2.94384429e+09
+ -2.24649110e+09 -2.56686254e+09]
+ [-1.11360280e+09 -1.05605535e+09 -1.29392967e+09 -1.35515487e+09
+ -3.26149048e+09 6.88320240e+07 -3.86722905e+09 -3.44235349e+09
+ -2.59526092e+09 -2.58444145e+09]
+ [ 5.93800348e+08 3.16091309e+08 -6.50921558e+08 -1.98856145e+09
+ -2.73423785e+09 -1.62193613e+09 -2.77577401e+09 -2.58796925e+09
+ -3.24159571e+09 -2.43765313e+09]
+ [-2.00421968e+09 -1.38432156e+09 -2.24035789e+09 -1.96939821e+09
+ -4.05397611e+09 1.87420925e+08 -3.72767219e+09 -2.55214812e+09
+ -1.94084327e+09 -3.63281144e+09]
+ [-2.99364933e+08 -1.15909128e+09 -1.80415121e+09 -1.25211893e+09
+ -3.01063207e+09 -6.21606716e+08 -3.40082982e+09 -2.89676181e+09
+ -2.72201155e+09 -2.25149297e+09]
+ [ 3.46191104e+08 -7.31893666e+08 -6.71697015e+08 -1.48605480e+09
+ -2.05710861e+09 -4.65506824e+08 -3.39521045e+09 -3.37045509e+09
+ -3.08405772e+09 -2.02112504e+09]
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+ -2.43312454e+09 -2.23990288e+09]
+ [-1.25701739e+09 -1.17500014e+09 -2.03103647e+09 -1.78498397e+09
+ -3.38147948e+09 -2.43670858e+08 -3.63096825e+09 -2.52298435e+09
+ -2.32769889e+09 -2.80516850e+09]
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+ -3.73999186e+09 2.88223696e+08 -3.23509675e+09 -2.43591019e+09
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+ -2.45912901e+09 -2.55901586e+09]
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+ -1.82362383e+09 -2.35524026e+08 -1.79526428e+09 -2.19639045e+09
+ -3.17773775e+09 -1.54051655e+09]
+ [ 5.01853434e+08 -4.83497012e+08 -1.48012039e+09 -1.84663144e+09
+ -3.17167552e+09 -1.20496737e+09 -3.62353424e+09 -2.83509669e+09
+ -3.47706545e+09 -2.65729167e+09]
+ [ 8.20559391e+08 -3.91515094e+08 -8.41143028e+08 -1.26752154e+09
+ -2.35619899e+09 2.04962696e+07 -4.44387230e+09 -3.50925961e+09
+ -2.64859020e+09 -2.29774947e+09]
+ [ 1.38783406e+07 -5.12567640e+08 -6.20367210e+08 -1.30125097e+09
+ -2.41078676e+09 -5.00254148e+07 -4.20342842e+09 -3.63031216e+09
+ -2.36306604e+09 -2.48635154e+09]
+ [ 5.81646907e+08 1.32343402e+07 -6.24361204e+08 -1.26593839e+09
+ -2.31760418e+09 1.14125166e+08 -1.88659398e+09 -2.30057864e+09
+ -1.88459080e+09 -1.63700875e+09]
+ [-1.11086512e+09 -8.65775989e+08 -1.97006733e+09 -2.41110266e+09
+ -3.94152317e+09 -5.60103242e+07 -4.01115424e+09 -3.07440596e+09
+ -2.43179839e+09 -3.74789643e+09]
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+ -3.06848948e+09 1.62973185e+08 -2.08428497e+09 -1.62202605e+09
+ -1.04663717e+09 -2.53514861e+09]
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+ -2.88473801e+09 1.54713186e+07 -4.06223158e+09 -3.48911531e+09
+ -2.57980377e+09 -2.84589374e+09]
+ [-9.16592646e+08 -1.74895661e+09 -1.72668305e+09 -1.44271626e+09
+ -3.05767041e+09 2.83634859e+08 -3.05531437e+09 -2.53584934e+09
+ -1.89393329e+09 -3.15664392e+09]
+ [-1.36153779e+09 -1.46648587e+09 -1.59246162e+09 -1.17084735e+09
+ -3.40109694e+09 6.54435078e+08 -4.51554029e+09 -3.24335224e+09
+ -2.07296381e+09 -2.85624953e+09]
+ [-3.78159881e+08 -7.01716044e+08 -8.84164669e+08 -1.56230629e+09
+ -3.14121902e+09 -3.01487913e+08 -4.33752075e+09 -3.93621571e+09
+ -3.03214062e+09 -2.66479632e+09]
+ [-3.11325906e+08 -1.42160249e+09 -1.47374634e+09 -5.59521172e+08
+ -1.46039107e+09 -6.37490090e+08 -2.70744554e+09 -2.30708709e+09
+ -2.49169744e+09 -2.42251617e+09]
+ [-1.43186326e+09 -2.00142611e+08 -6.58066180e+08 -8.75013170e+08
+ -2.22381491e+09 -4.20851702e+08 -3.16909603e+09 -1.83527664e+09
+ -2.06030628e+09 -2.42278939e+09]
+ [-2.44533958e+09 -1.31922745e+09 -2.10128997e+09 -1.67647443e+09
+ -4.18535539e+09 5.03878449e+08 -4.00671195e+09 -2.74590476e+09
+ -1.91595651e+09 -3.74291241e+09]
+ [-6.24556804e+08 -4.63318389e+08 -8.20171347e+08 -1.32040559e+09
+ -2.63724641e+09 -5.52451043e+08 -2.61257672e+09 -3.14023301e+09
+ -2.72424518e+09 -1.91460132e+09]
+ [-3.04753377e+08 -1.15788135e+09 -8.66030967e+08 -1.48609353e+09
+ -3.01573700e+09 -2.20685138e+07 -4.13786584e+09 -3.04684515e+09
+ -2.31432916e+09 -2.93676147e+09]
+ [-6.76328142e+08 -1.35291486e+09 -9.03583912e+08 -1.34461925e+09
+ -3.61571942e+09 2.26285541e+08 -4.43909413e+09 -3.50503825e+09
+ -2.56797174e+09 -3.30472645e+09]
+ [-3.40229435e+08 -2.29575723e+09 -2.83215636e+09 -1.15887704e+09
+ -2.65332011e+09 1.36238763e+08 -2.49965613e+09 -2.59004794e+09
+ -1.91376700e+09 -2.05117060e+09]
+ [-2.92762999e+08 -4.96243953e+08 -4.99167231e+08 -2.00484469e+09
+ -2.29058142e+09 -5.84858963e+08 -3.12175471e+09 -2.47712034e+09
+ -2.87371337e+09 -2.76389869e+09]
+ [-2.49960718e+08 -5.11019809e+08 -4.47095007e+08 -1.66189081e+09
+ -1.70242613e+09 -1.67136927e+08 -1.65522080e+09 -2.06899492e+09
+ -2.30506637e+09 -1.35480063e+09]
+ [ 8.59528681e+08 -1.05218312e+08 -6.95293477e+08 -1.55914054e+09
+ -2.28744899e+09 -8.32312174e+08 -3.72929462e+09 -3.50002005e+09
+ -3.19073978e+09 -2.07908969e+09]]
+ ***** END computing marginal effects *****
+margins [-318832172.2086933, -750825726.0535247, -1136889782.8201854, -1461095066.8930154, -2851620839.593662, -219090685.044323, -3311012110.96559, -2884690358.215931, -2511497256.669151, -2563406395.758262]
+pointwise margins [[-5.10523534e+08 -1.41625518e+09 -1.67344442e+09 -1.04082275e+09
+ -3.44149051e+09 -7.25531315e+07 -2.99657378e+09 -2.94384429e+09
+ -2.24649110e+09 -2.56686254e+09]
+ [-1.11360280e+09 -1.05605535e+09 -1.29392967e+09 -1.35515487e+09
+ -3.26149048e+09 6.88320240e+07 -3.86722905e+09 -3.44235349e+09
+ -2.59526092e+09 -2.58444145e+09]
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+ -2.72201155e+09 -2.25149297e+09]
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+ -2.43312454e+09 -2.23990288e+09]
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+ -3.38147948e+09 -2.43670858e+08 -3.63096825e+09 -2.52298435e+09
+ -2.32769889e+09 -2.80516850e+09]
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+ -2.53641756e+09 -3.26225227e+09]
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+ -2.72039007e+09 -1.80917447e+09]
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+ -2.08872676e+09 -1.12807152e+09 -2.04521057e+09 -2.31324288e+09
+ -2.79550443e+09 -1.88989715e+09]
+ [ 1.21813249e+08 -4.26524090e+08 -4.07109525e+08 -1.46694565e+09
+ -1.67941552e+09 -4.33050808e+08 -2.24823810e+09 -2.70552922e+09
+ -3.14221562e+09 -1.49728626e+09]
+ [ 3.08344432e+08 -1.55036310e+08 -1.12438578e+09 -1.98723673e+09
+ -3.38069198e+09 -1.58084980e+09 -3.07791169e+09 -2.66204470e+09
+ -3.21795894e+09 -2.78123286e+09]
+ [-1.21439384e+09 -9.06954424e+08 -1.88656277e+09 -1.77673243e+09
+ -3.99101504e+09 3.19574909e+08 -4.31015683e+09 -3.26430098e+09
+ -2.36018443e+09 -3.80366968e+09]
+ [-1.41958547e+09 -1.11198740e+09 -1.90973481e+09 -1.86478154e+09
+ -3.73999186e+09 2.88223696e+08 -3.23509675e+09 -2.43591019e+09
+ -1.67954338e+09 -3.29754887e+09]
+ [-1.43527089e+08 -5.62585664e+08 -8.49824437e+08 -1.47065947e+09
+ -2.85728389e+09 -6.98483832e+07 -3.91642770e+09 -3.74692366e+09
+ -2.96834849e+09 -2.55109431e+09]
+ [ 4.10188608e+08 -6.32165134e+08 -5.72144644e+08 -1.31039026e+09
+ -2.61190317e+09 2.78798452e+08 -4.68893424e+09 -3.81264138e+09
+ -2.45912901e+09 -2.55901586e+09]
+ [ 6.48280636e+07 -4.85767505e+08 -6.62639438e+08 -7.89219422e+08
+ -1.82362383e+09 -2.35524026e+08 -1.79526428e+09 -2.19639045e+09
+ -3.17773775e+09 -1.54051655e+09]
+ [ 5.01853434e+08 -4.83497012e+08 -1.48012039e+09 -1.84663144e+09
+ -3.17167552e+09 -1.20496737e+09 -3.62353424e+09 -2.83509669e+09
+ -3.47706545e+09 -2.65729167e+09]
+ [ 8.20559391e+08 -3.91515094e+08 -8.41143028e+08 -1.26752154e+09
+ -2.35619899e+09 2.04962696e+07 -4.44387230e+09 -3.50925961e+09
+ -2.64859020e+09 -2.29774947e+09]
+ [ 1.38783406e+07 -5.12567640e+08 -6.20367210e+08 -1.30125097e+09
+ -2.41078676e+09 -5.00254148e+07 -4.20342842e+09 -3.63031216e+09
+ -2.36306604e+09 -2.48635154e+09]
+ [ 5.81646907e+08 1.32343402e+07 -6.24361204e+08 -1.26593839e+09
+ -2.31760418e+09 1.14125166e+08 -1.88659398e+09 -2.30057864e+09
+ -1.88459080e+09 -1.63700875e+09]
+ [-1.11086512e+09 -8.65775989e+08 -1.97006733e+09 -2.41110266e+09
+ -3.94152317e+09 -5.60103242e+07 -4.01115424e+09 -3.07440596e+09
+ -2.43179839e+09 -3.74789643e+09]
+ [ 4.71901316e+08 -1.50308554e+08 -7.79521102e+07 -3.55745098e+08
+ -3.06848948e+09 1.62973185e+08 -2.08428497e+09 -1.62202605e+09
+ -1.04663717e+09 -2.53514861e+09]
+ [ 1.22135505e+09 -7.73155821e+08 -3.53212171e+08 -1.34131383e+09
+ -2.88473801e+09 1.54713186e+07 -4.06223158e+09 -3.48911531e+09
+ -2.57980377e+09 -2.84589374e+09]
+ [-9.16592646e+08 -1.74895661e+09 -1.72668305e+09 -1.44271626e+09
+ -3.05767041e+09 2.83634859e+08 -3.05531437e+09 -2.53584934e+09
+ -1.89393329e+09 -3.15664392e+09]
+ [-1.36153779e+09 -1.46648587e+09 -1.59246162e+09 -1.17084735e+09
+ -3.40109694e+09 6.54435078e+08 -4.51554029e+09 -3.24335224e+09
+ -2.07296381e+09 -2.85624953e+09]
+ [-3.78159881e+08 -7.01716044e+08 -8.84164669e+08 -1.56230629e+09
+ -3.14121902e+09 -3.01487913e+08 -4.33752075e+09 -3.93621571e+09
+ -3.03214062e+09 -2.66479632e+09]
+ [-3.11325906e+08 -1.42160249e+09 -1.47374634e+09 -5.59521172e+08
+ -1.46039107e+09 -6.37490090e+08 -2.70744554e+09 -2.30708709e+09
+ -2.49169744e+09 -2.42251617e+09]
+ [-1.43186326e+09 -2.00142611e+08 -6.58066180e+08 -8.75013170e+08
+ -2.22381491e+09 -4.20851702e+08 -3.16909603e+09 -1.83527664e+09
+ -2.06030628e+09 -2.42278939e+09]
+ [-2.44533958e+09 -1.31922745e+09 -2.10128997e+09 -1.67647443e+09
+ -4.18535539e+09 5.03878449e+08 -4.00671195e+09 -2.74590476e+09
+ -1.91595651e+09 -3.74291241e+09]
+ [-6.24556804e+08 -4.63318389e+08 -8.20171347e+08 -1.32040559e+09
+ -2.63724641e+09 -5.52451043e+08 -2.61257672e+09 -3.14023301e+09
+ -2.72424518e+09 -1.91460132e+09]
+ [-3.04753377e+08 -1.15788135e+09 -8.66030967e+08 -1.48609353e+09
+ -3.01573700e+09 -2.20685138e+07 -4.13786584e+09 -3.04684515e+09
+ -2.31432916e+09 -2.93676147e+09]
+ [-6.76328142e+08 -1.35291486e+09 -9.03583912e+08 -1.34461925e+09
+ -3.61571942e+09 2.26285541e+08 -4.43909413e+09 -3.50503825e+09
+ -2.56797174e+09 -3.30472645e+09]
+ [-3.40229435e+08 -2.29575723e+09 -2.83215636e+09 -1.15887704e+09
+ -2.65332011e+09 1.36238763e+08 -2.49965613e+09 -2.59004794e+09
+ -1.91376700e+09 -2.05117060e+09]
+ [-2.92762999e+08 -4.96243953e+08 -4.99167231e+08 -2.00484469e+09
+ -2.29058142e+09 -5.84858963e+08 -3.12175471e+09 -2.47712034e+09
+ -2.87371337e+09 -2.76389869e+09]
+ [-2.49960718e+08 -5.11019809e+08 -4.47095007e+08 -1.66189081e+09
+ -1.70242613e+09 -1.67136927e+08 -1.65522080e+09 -2.06899492e+09
+ -2.30506637e+09 -1.35480063e+09]
+ [ 8.59528681e+08 -1.05218312e+08 -6.95293477e+08 -1.55914054e+09
+ -2.28744899e+09 -8.32312174e+08 -3.72929462e+09 -3.50002005e+09
+ -3.19073978e+09 -2.07908969e+09]]
+Predicted y test = [8.72914106e+09 5.11042990e+09 5.90897364e+09 1.98803396e+09
+ 2.17233720e+09 6.75728539e+09 5.59093977e+09 9.17237990e+09
+ 5.47630373e+09 5.69062046e+09 8.49408156e+09 1.07322561e+10
+ 0.00000000e+00 1.19791093e+09 3.44056828e+09 5.33970198e+09
+ 9.19434560e+09 6.16021143e+09 4.50888782e+09 6.99905229e+09]
+linear model parameters = [1.14636041e+08 9.68638849e+08 1.20369835e+09 1.15687473e+09
+ 2.48468001e+09 2.51237790e+08 2.93809270e+09 1.77297002e+09
+ 2.31663675e+09 1.98803396e+09]
Start computin r squared, result =
-column mean vector= [3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387, 3269251890.3245387]
- diff with mean vector [ 7.29420550e+08 -2.27434581e+09 8.80728397e+08 3.84686602e+07
- -3.63854534e+08 -1.25063214e+09 1.78914733e+09 -2.25912945e+09
- 3.98059224e+09 -1.27039524e+09]
- diff with mean vector squared [5.32054339e+17 5.17264886e+18 7.75682510e+17 1.47983782e+15
- 1.32390122e+17 1.56408075e+18 3.20104816e+18 5.10366589e+18
- 1.58451146e+19 1.61390406e+18]
- diff with predicted vector [ 2.94877502e+08 -2.42819942e+09 -5.70176486e+07 -1.83478038e+08
- -1.48158359e+08 2.44983130e+08 -5.10267146e+08 -8.43517703e+08
- 3.65474536e+09 5.53704729e+07]
- diff with predicted vector squared [8.69527411e+16 5.89615244e+18 3.25101225e+15 3.36641906e+16
- 2.19508994e+16 6.00167338e+16 2.60372560e+17 7.11522115e+17
- 1.33571637e+19 3.06588927e+15]
-End computing r squared, result = 0.39797093085645974
- R2 error = 0.39797093085645974
-kernel ridge coef (lambda) = 0.013818650598825628
-number of iteration on kernel ridge coef = 321
-leave_one_out error on kernel ridge coef = 1.3113569409874378e+18
- --- Actual line: ['samsung_galaxy_s8', 'samsung_galaxy_s8_format', False, False, 1000, 0.013818650598825628, True, 'dichotomic', 321, 1.3113569409874378e+18, 1000000000.0, 1e-09, 1000, 0.1, 33, False, 0.39797093085645974, 10, 10, 'base_Y']
---- Total execution time: 13.152221202850342 seconds = 0.21920368671417237 mins
+column mean vector= [5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385, 5579264603.921385]
+ diff with mean vector [ 3.31642455e+09 3.68372400e+08 8.64158916e+08 -2.25786616e+09
+ -3.56064486e+09 1.68374344e+09 -5.52572871e+08 2.65769629e+09
+ -5.43738971e+08 1.37696679e+09 3.21650639e+09 3.58731040e+09
+ -5.57926460e+09 -4.56227684e+09 -2.27154405e+09 -5.20865385e+08
+ 2.78788596e+09 9.39852708e+08 -1.19383825e+09 2.43694158e+08]
+ diff with mean vector squared [1.09986718e+19 1.35698225e+17 7.46770632e+17 5.09795961e+18
+ 1.26781918e+19 2.83499198e+18 3.05336778e+17 7.06334955e+18
+ 2.95652068e+17 1.89603754e+18 1.03459134e+19 1.28687959e+19
+ 3.11281935e+19 2.08143700e+19 5.15991239e+18 2.71300749e+17
+ 7.77230814e+18 8.83323112e+17 1.42524977e+18 5.93868426e+16]
+ diff with predicted vector [ 1.66548089e+08 8.37207109e+08 5.34449876e+08 1.33336448e+09
+ -1.53717451e+08 5.05722659e+08 -5.64248035e+08 -9.35419005e+08
+ -4.40778093e+08 1.26561093e+09 3.01689435e+08 -1.56568112e+09
+ 8.33333333e-02 -1.80923168e+08 -1.32847724e+08 -2.81302759e+08
+ -8.27195037e+08 3.58905878e+08 -1.23461468e+08 -1.17609353e+09]
+ diff with predicted vector squared [2.77382659e+16 7.00915743e+17 2.85636670e+17 1.77786084e+18
+ 2.36290549e+16 2.55755408e+17 3.18375845e+17 8.75008716e+17
+ 1.94285327e+17 1.60177103e+18 9.10165149e+16 2.45135736e+18
+ 6.94444444e-03 3.27331929e+16 1.76485179e+16 7.91312422e+16
+ 6.84251628e+17 1.28813430e+17 1.52427340e+16 1.38319599e+18]
+End computing r squared, result = 0.917576058264038
+*** Linear model R2 score = 0.917576058264038
+ X header, margins and linear coef numbers before transpose:
+ [['X_0', 'X_1', 'X_2', 'X_3', 'X_4', 'X_5', 'X_6', 'X_7', 'X_8', 'X_9'], ['frequency level of Little Socket', 'Core 0 state', 'Core 1 state', 'Core 2 state', 'Core 3 state', 'frequency level of Big Socket', 'Core 4 state', 'Core 5 state', 'Core 6 state', 'Core 7 state'], [-318832172.2086933, -750825726.0535247, -1136889782.8201854, -1461095066.8930154, -2851620839.593662, -219090685.044323, -3311012110.96559, -2884690358.215931, -2511497256.669151, -2563406395.758262], array([1.14636041e+08, 9.68638849e+08, 1.20369835e+09, 1.15687473e+09,
+ 2.48468001e+09, 2.51237790e+08, 2.93809270e+09, 1.77297002e+09,
+ 2.31663675e+09, 1.98803396e+09]), array([4.33468214e+08, 1.71946458e+09, 2.34058813e+09, 2.61796980e+09,
+ 5.33630085e+09, 4.70328475e+08, 6.24910481e+09, 4.65766037e+09,
+ 4.82813401e+09, 4.55144036e+09])]
+ --- Before Modifying variable -318832172.2086933, Type : <class 'str'>
+ --- After Modifying variable -318832172.2086933, Type : <class 'float'>
+ --- Before Modifying variable -750825726.0535247, Type : <class 'str'>
+ --- After Modifying variable -750825726.0535247, Type : <class 'float'>
+ --- Before Modifying variable -1136889782.8201854, Type : <class 'str'>
+ --- After Modifying variable -1136889782.8201854, Type : <class 'float'>
+ --- Before Modifying variable -1461095066.8930154, Type : <class 'str'>
+ --- After Modifying variable -1461095066.8930154, Type : <class 'float'>
+ --- Before Modifying variable -2851620839.593662, Type : <class 'str'>
+ --- After Modifying variable -2851620839.593662, Type : <class 'float'>
+ --- Before Modifying variable -219090685.044323, Type : <class 'str'>
+ --- After Modifying variable -219090685.044323, Type : <class 'float'>
+ --- Before Modifying variable -3311012110.96559, Type : <class 'str'>
+ --- After Modifying variable -3311012110.96559, Type : <class 'float'>
+ --- Before Modifying variable -2884690358.215931, Type : <class 'str'>
+ --- After Modifying variable -2884690358.215931, Type : <class 'float'>
+ --- Before Modifying variable -2511497256.669151, Type : <class 'str'>
+ --- After Modifying variable -2511497256.669151, Type : <class 'float'>
+ --- Before Modifying variable -2563406395.758262, Type : <class 'str'>
+ --- After Modifying variable -2563406395.758262, Type : <class 'float'>
+ --- Before Modifying variable 114636041.36645955, Type : <class 'str'>
+ --- After Modifying variable 114636041.36645955, Type : <class 'float'>
+ --- Before Modifying variable 968638849.2592059, Type : <class 'str'>
+ --- After Modifying variable 968638849.2592059, Type : <class 'float'>
+ --- Before Modifying variable 1203698350.7748914, Type : <class 'str'>
+ --- After Modifying variable 1203698350.7748914, Type : <class 'float'>
+ --- Before Modifying variable 1156874732.6674967, Type : <class 'str'>
+ --- After Modifying variable 1156874732.6674967, Type : <class 'float'>
+ --- Before Modifying variable 2484680012.8657327, Type : <class 'str'>
+ --- After Modifying variable 2484680012.8657327, Type : <class 'float'>
+ --- Before Modifying variable 251237789.89416486, Type : <class 'str'>
+ --- After Modifying variable 251237789.89416486, Type : <class 'float'>
+ --- Before Modifying variable 2938092695.237851, Type : <class 'str'>
+ --- After Modifying variable 2938092695.237851, Type : <class 'float'>
+ --- Before Modifying variable 1772970016.057762, Type : <class 'str'>
+ --- After Modifying variable 1772970016.057762, Type : <class 'float'>
+ --- Before Modifying variable 2316636754.615268, Type : <class 'str'>
+ --- After Modifying variable 2316636754.615268, Type : <class 'float'>
+ --- Before Modifying variable 1988033960.003158, Type : <class 'str'>
+ --- After Modifying variable 1988033960.003158, Type : <class 'float'>
+ --- Before Modifying variable 433468213.5751529, Type : <class 'str'>
+ --- After Modifying variable 433468213.5751529, Type : <class 'float'>
+ --- Before Modifying variable 1719464575.3127308, Type : <class 'str'>
+ --- After Modifying variable 1719464575.3127308, Type : <class 'float'>
+ --- Before Modifying variable 2340588133.5950766, Type : <class 'str'>
+ --- After Modifying variable 2340588133.5950766, Type : <class 'float'>
+ --- Before Modifying variable 2617969799.560512, Type : <class 'str'>
+ --- After Modifying variable 2617969799.560512, Type : <class 'float'>
+ --- Before Modifying variable 5336300852.459394, Type : <class 'str'>
+ --- After Modifying variable 5336300852.459394, Type : <class 'float'>
+ --- Before Modifying variable 470328474.9384879, Type : <class 'str'>
+ --- After Modifying variable 470328474.9384879, Type : <class 'float'>
+ --- Before Modifying variable 6249104806.203442, Type : <class 'str'>
+ --- After Modifying variable 6249104806.203442, Type : <class 'float'>
+ --- Before Modifying variable 4657660374.273693, Type : <class 'str'>
+ --- After Modifying variable 4657660374.273693, Type : <class 'float'>
+ --- Before Modifying variable 4828134011.284419, Type : <class 'str'>
+ --- After Modifying variable 4828134011.284419, Type : <class 'float'>
+ --- Before Modifying variable 4551440355.76142, Type : <class 'str'>
+ --- After Modifying variable 4551440355.76142, Type : <class 'float'>
+ X header, margins and linear coef numbers after transpose:
+ [['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]]
+margins and linearcoef summary_to_print :
+ [array(['X_variable', 'meaning ', 'kernel ridge margins',
+ 'linear regression coefficients', 'difference'], dtype='<U30'), ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]]
+ --- Actual line: ['X_variable' 'meaning ' 'kernel ridge margins'
+ 'linear regression coefficients' 'difference']
+ --- Actual line: ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]
+ --- Actual line: ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308]
+ --- Actual line: ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766]
+ --- Actual line: ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512]
+ --- Actual line: ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879]
+ --- Actual line: ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442]
+ --- Actual line: ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693]
+ --- Actual line: ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419]
+ --- Actual line: ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]
+ X header, margins and linear coef numbers after transpose, ordered by margin:
+ [['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442]]
+margins and linearcoef summary_to_print ordered by margin :
+ [array(['X_variable', 'meaning ', 'kernel ridge margins',
+ 'linear regression coefficients', 'difference'], dtype='<U30'), ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]]
+ --- Actual line: ['X_variable' 'meaning ' 'kernel ridge margins'
+ 'linear regression coefficients' 'difference']
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879]
+ --- Actual line: ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]
+ --- Actual line: ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308]
+ --- Actual line: ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766]
+ --- Actual line: ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512]
+ --- Actual line: ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419]
+ --- Actual line: ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]
+ --- Actual line: ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394]
+ --- Actual line: ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693]
+ --- Actual line: ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442]
+ X header, margins and linear coef numbers after transpose, ordered by margin:
+ [['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]]
+margins and linearcoef summary_to_print ordered by linear regression coefficients :
+ [array(['X_variable', 'meaning ', 'kernel ridge margins',
+ 'linear regression coefficients', 'difference'], dtype='<U30'), ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]]
+ --- Actual line: ['X_variable' 'meaning ' 'kernel ridge margins'
+ 'linear regression coefficients' 'difference']
+ --- Actual line: ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442]
+ --- Actual line: ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394]
+ --- Actual line: ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419]
+ --- Actual line: ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]
+ --- Actual line: ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693]
+ --- Actual line: ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766]
+ --- Actual line: ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512]
+ --- Actual line: ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879]
+ --- Actual line: ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]
+ X header, margins and linear coef numbers after transpose, ordered by margin:
+ [['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]]
+margins and linearcoef summary_to_print ordered by linear regression coefficients :
+ [array(['X_variable', 'meaning ', 'kernel ridge margins',
+ 'linear regression coefficients', 'difference'], dtype='<U30'), ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442], ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394], ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419], ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693], ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142], ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512], ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766], ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308], ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879], ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]]
+ --- Actual line: ['X_variable' 'meaning ' 'kernel ridge margins'
+ 'linear regression coefficients' 'difference']
+ --- Actual line: ['X_6', 'Core 4 state', -3311012110.96559, 2938092695.237851, 6249104806.203442]
+ --- Actual line: ['X_4', 'Core 3 state', -2851620839.593662, 2484680012.8657327, 5336300852.459394]
+ --- Actual line: ['X_8', 'Core 6 state', -2511497256.669151, 2316636754.615268, 4828134011.284419]
+ --- Actual line: ['X_7', 'Core 5 state', -2884690358.215931, 1772970016.057762, 4657660374.273693]
+ --- Actual line: ['X_9', 'Core 7 state', -2563406395.758262, 1988033960.003158, 4551440355.76142]
+ --- Actual line: ['X_3', 'Core 2 state', -1461095066.8930154, 1156874732.6674967, 2617969799.560512]
+ --- Actual line: ['X_2', 'Core 1 state', -1136889782.8201854, 1203698350.7748914, 2340588133.5950766]
+ --- Actual line: ['X_1', 'Core 0 state', -750825726.0535247, 968638849.2592059, 1719464575.3127308]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -219090685.044323, 251237789.89416486, 470328474.9384879]
+ --- Actual line: ['X_0', 'frequency level of Little Socket', -318832172.2086933, 114636041.36645955, 433468213.5751529]
+X_5_d linear model parameters = [ 1.85338041e+08 1.42944665e+08 -6.21882706e+07 -4.83852878e+08
+ -2.44693261e+08 -2.76565385e+08 -6.45658982e+07 2.46503048e+08
+ -3.16474218e+08 1.22364297e+08]
+ --- FLOAT version of d_X_i_linear_coefficients_ [185338041.39682832, 142944664.77740052, -62188270.581818655, -483852878.29017764, -244693261.0900952, -276565385.3744161, -64565898.18780776, 246503048.44622064, -316474218.4838966, 122364297.14268036]
+ --- Before Modifying variable 185338041.39682832, Type : <class 'str'>
+ --- After Modifying variable 185338041.39682832, Type : <class 'float'>
+ --- Before Modifying variable 142944664.77740052, Type : <class 'str'>
+ --- After Modifying variable 142944664.77740052, Type : <class 'float'>
+ --- Before Modifying variable -62188270.581818655, Type : <class 'str'>
+ --- After Modifying variable -62188270.581818655, Type : <class 'float'>
+ --- Before Modifying variable -483852878.29017764, Type : <class 'str'>
+ --- After Modifying variable -483852878.29017764, Type : <class 'float'>
+ --- Before Modifying variable -244693261.0900952, Type : <class 'str'>
+ --- After Modifying variable -244693261.0900952, Type : <class 'float'>
+ --- Before Modifying variable -276565385.3744161, Type : <class 'str'>
+ --- After Modifying variable -276565385.3744161, Type : <class 'float'>
+ --- Before Modifying variable -64565898.18780776, Type : <class 'str'>
+ --- After Modifying variable -64565898.18780776, Type : <class 'float'>
+ --- Before Modifying variable 246503048.44622064, Type : <class 'str'>
+ --- After Modifying variable 246503048.44622064, Type : <class 'float'>
+ --- Before Modifying variable -316474218.4838966, Type : <class 'str'>
+ --- After Modifying variable -316474218.4838966, Type : <class 'float'>
+ --- Before Modifying variable 122364297.14268036, Type : <class 'str'>
+ --- After Modifying variable 122364297.14268036, Type : <class 'float'>
+ --- Before Modifying variable 185338041.39682832, Type : <class 'str'>
+ --- After Modifying variable 185338041.39682832, Type : <class 'float'>
+ --- Before Modifying variable 142944664.77740052, Type : <class 'str'>
+ --- After Modifying variable 142944664.77740052, Type : <class 'float'>
+ --- Before Modifying variable 62188270.581818655, Type : <class 'str'>
+ --- After Modifying variable 62188270.581818655, Type : <class 'float'>
+ --- Before Modifying variable 483852878.29017764, Type : <class 'str'>
+ --- After Modifying variable 483852878.29017764, Type : <class 'float'>
+ --- Before Modifying variable 244693261.0900952, Type : <class 'str'>
+ --- After Modifying variable 244693261.0900952, Type : <class 'float'>
+ --- Before Modifying variable 276565385.3744161, Type : <class 'str'>
+ --- After Modifying variable 276565385.3744161, Type : <class 'float'>
+ --- Before Modifying variable 64565898.18780776, Type : <class 'str'>
+ --- After Modifying variable 64565898.18780776, Type : <class 'float'>
+ --- Before Modifying variable 246503048.44622064, Type : <class 'str'>
+ --- After Modifying variable 246503048.44622064, Type : <class 'float'>
+ --- Before Modifying variable 316474218.4838966, Type : <class 'str'>
+ --- After Modifying variable 316474218.4838966, Type : <class 'float'>
+ --- Before Modifying variable 122364297.14268036, Type : <class 'str'>
+ --- After Modifying variable 122364297.14268036, Type : <class 'float'>
+ X header, d_X_ 5 values :
+ [['X_0', 'X_1', 'X_2', 'X_3', 'X_4', 'X_5', 'X_6', 'X_7', 'X_8', 'X_9'], ['frequency level of Little Socket', 'Core 0 state', 'Core 1 state', 'Core 2 state', 'Core 3 state', 'frequency level of Big Socket', 'Core 4 state', 'Core 5 state', 'Core 6 state', 'Core 7 state'], [185338041.39682832, 142944664.77740052, -62188270.581818655, -483852878.29017764, -244693261.0900952, -276565385.3744161, -64565898.18780776, 246503048.44622064, -316474218.4838966, 122364297.14268036], [185338041.39682832, 142944664.77740052, 62188270.581818655, 483852878.29017764, 244693261.0900952, 276565385.3744161, 64565898.18780776, 246503048.44622064, 316474218.4838966, 122364297.14268036]]
+ --- Actual line: ['Variable' 'meaning '
+ 'd_X_5 (Variation relative to frequency level of Big Socket)'
+ 'asolute d_X_5']
+ --- Actual line: ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832]
+ --- Actual line: ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052]
+ --- Actual line: ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655]
+ --- Actual line: ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764]
+ --- Actual line: ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161]
+ --- Actual line: ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776]
+ --- Actual line: ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064]
+ --- Actual line: ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966]
+ --- Actual line: ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036]
+ X header, margins and linear coef numbers after transpose, ordered by margin:
+ [['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064], ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832], ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052], ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036], ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655], ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776], ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952], ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161], ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966], ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764]]
+margins and linearcoef summary_to_print ordered by margin :
+ [array(['Variable', 'meaning ',
+ 'd_X_5 (Variation relative to frequency level of Big Socket)',
+ 'asolute d_X_5'], dtype='<U59'), ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064], ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832], ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052], ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036], ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655], ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776], ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952], ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161], ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966], ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764]]
+ --- Actual line: ['Variable' 'meaning '
+ 'd_X_5 (Variation relative to frequency level of Big Socket)'
+ 'asolute d_X_5']
+ --- Actual line: ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064]
+ --- Actual line: ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832]
+ --- Actual line: ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052]
+ --- Actual line: ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036]
+ --- Actual line: ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655]
+ --- Actual line: ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776]
+ --- Actual line: ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161]
+ --- Actual line: ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966]
+ --- Actual line: ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764]
+ X header, margins and linear coef numbers after transpose, ordered by margin:
+ [['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764], ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966], ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161], ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064], ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952], ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832], ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052], ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036], ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776], ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655]]
+margins and linearcoef summary_to_print ordered by margin :
+ [array(['Variable', 'meaning ',
+ 'd_X_5 (Variation relative to frequency level of Big Socket)',
+ 'asolute d_X_5'], dtype='<U59'), ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764], ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966], ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161], ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064], ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952], ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832], ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052], ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036], ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776], ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655]]
+ --- Actual line: ['Variable' 'meaning '
+ 'd_X_5 (Variation relative to frequency level of Big Socket)'
+ 'asolute d_X_5']
+ --- Actual line: ['X_3', 'Core 2 state', -483852878.29017764, 483852878.29017764]
+ --- Actual line: ['X_8', 'Core 6 state', -316474218.4838966, 316474218.4838966]
+ --- Actual line: ['X_5', 'frequency level of Big Socket', -276565385.3744161, 276565385.3744161]
+ --- Actual line: ['X_7', 'Core 5 state', 246503048.44622064, 246503048.44622064]
+ --- Actual line: ['X_4', 'Core 3 state', -244693261.0900952, 244693261.0900952]
+ --- Actual line: ['X_0', 'frequency level of Little Socket', 185338041.39682832, 185338041.39682832]
+ --- Actual line: ['X_1', 'Core 0 state', 142944664.77740052, 142944664.77740052]
+ --- Actual line: ['X_9', 'Core 7 state', 122364297.14268036, 122364297.14268036]
+ --- Actual line: ['X_6', 'Core 4 state', -64565898.18780776, 64565898.18780776]
+ --- Actual line: ['X_2', 'Core 1 state', -62188270.581818655, 62188270.581818655]
+Plotting d_X_5 over other variables
+--- In function plot_marginal_interactions : plotting d_X_5 with regard to X_0, X_1, X_2
+--- Total execution time: 4.789206266403198 seconds = 0.0798201044400533 mins
diff --git a/kernel_ridge_linear_model/loo_errors_according_to_lamda.csv b/kernel_ridge_linear_model/loo_errors_according_to_lamda.csv
index 1616f7f..f3dd9f6 100755
--- a/kernel_ridge_linear_model/loo_errors_according_to_lamda.csv
+++ b/kernel_ridge_linear_model/loo_errors_according_to_lamda.csv
@@ -1,115 +1,6 @@
-1e-09,1.7701392351567278e+18
-0.001000000999,1.7631034014803666e+18
-0.002000000998,1.75630810493316e+18
-0.003000000997,1.7497423380035264e+18
-0.004000000996,1.7433957629900836e+18
-0.005000000995,1.7372586621168689e+18
-0.0060000009940000005,1.731321892027267e+18
-0.007000000993000001,1.7255768422148004e+18
-0.008000000992000001,1.7200153969993341e+18
-0.009000000991000002,1.714629900701021e+18
-0.010000000990000002,1.7094131257030085e+18
-0.011000000989000003,1.7043582431272842e+18
-0.012000000988000003,1.6994587958781345e+18
-0.013000000987000004,1.694708673833322e+18
-0.014000000986000004,1.6901020909863864e+18
-0.015000000985000005,1.68563356436358e+18
-0.016000000984000003,1.681297894557157e+18
-0.017000000983000002,1.6770901477328317e+18
-0.018000000982,1.673005638982404e+18
-0.019000000981,1.6690399169067794e+18
-0.020000000979999998,1.6651887493244145e+18
-0.021000000978999997,1.661448110010651e+18
-0.022000000977999996,1.6578141663829176e+18
-0.023000000976999994,1.6542832680538255e+18
-0.024000000975999993,1.6508519361821788e+18
-0.025000000974999992,1.647516853557631e+18
-0.02600000097399999,1.644274855361357e+18
-0.02700000097299999,1.6411229205493076e+18
-0.028000000971999988,1.638058163810133e+18
-0.029000000970999987,1.635077828053585e+18
-0.030000000969999985,1.632179277389266e+18
-0.031000000968999984,1.62935999055885e+18
-0.032000000967999986,1.6266175547881994e+18
-0.03300000096699999,1.6239496600284314e+18
-0.03400000096599999,1.6213540935578112e+18
-0.03500000096499999,1.6188287349181537e+18
-0.036000000963999995,1.6163715511624302e+18
-0.037000000963,1.61398059239107e+18
-0.038000000962,1.611653987557093e+18
-0.039000000961,1.6093899405214472e+18
-0.040000000960000004,1.6071867263412493e+18
-0.041000000959000006,1.605042687775345e+18
-0.04200000095800001,1.6029562319922831e+18
-0.04300000095700001,1.6009258274675139e+18
-0.04400000095600001,1.598950001057071e+18
-0.045000000955000015,1.5970273352363763e+18
-0.04600000095400002,1.5951564654932436e+18
-0.04700000095300002,1.593336077865553e+18
-0.04800000095200002,1.5915649066137677e+18
-0.049000000951000024,1.5898417320205425e+18
-0.050000000950000026,1.5881653783087708e+18
-0.05100000094900003,1.586534711671138e+18
-0.05200000094800003,1.58494863840425e+18
-0.05300000094700003,1.5834061031407478e+18
-0.054000000946000035,1.5819060871738755e+18
-0.05500000094500004,1.580447606868436e+18
-0.05600000094400004,1.579029712153596e+18
-0.05700000094300004,1.577651485092099e+18
-0.05800000094200004,1.576312038521866e+18
-0.059000000941000046,1.575010514765607e+18
-0.06000000094000005,1.5737460844045056e+18
-0.06100000093900005,1.5725179451123443e+18
-0.06200000093800005,1.5713253205466253e+18
-0.06300000093700005,1.5701674592935532e+18
-0.06400000093600004,1.5690436338637658e+18
-0.06500000093500004,1.5679531397361162e+18
-0.06600000093400003,1.5668952944466314e+18
-0.06700000093300003,1.5658694367205775e+18
-0.06800000093200002,1.5648749256448796e+18
-0.06900000093100002,1.5639111398790047e+18
-0.07000000093000001,1.5629774769021358e+18
-0.07100000092900001,1.5620733522946657e+18
-0.072000000928,1.561198199052482e+18
-0.073000000927,1.5603514669318646e+18
-0.074000000926,1.5595326218238223e+18
-0.07500000092499999,1.5587411451562179e+18
-0.07600000092399999,1.5579765333221632e+18
-0.07700000092299998,1.5572382971333857e+18
-0.07800000092199998,1.556525961297555e+18
-0.07900000092099997,1.5558390639178941e+18
-0.08000000091999997,1.5551771560144722e+18
-0.08100000091899996,1.554539801065683e+18
-0.08200000091799996,1.553926574569248e+18
-0.08300000091699995,1.5533370636215933e+18
-0.08400000091599995,1.552770866514712e+18
-0.08500000091499994,1.55222759234984e+18
-0.08600000091399994,1.5517068606669883e+18
-0.08700000091299993,1.5512083010895212e+18
-0.08800000091199993,1.5507315529833462e+18
-0.08900000091099992,1.5502762651296801e+18
-0.09000000090999992,1.5498420954110838e+18
-0.09100000090899991,1.5494287105098726e+18
-0.09200000090799991,1.5490357856185539e+18
-0.0930000009069999,1.548663004161553e+18
-0.0940000009059999,1.5483100575279951e+18
-0.0950000009049999,1.5479766448145574e+18
-0.09600000090399989,1.5476624725785956e+18
-0.09700000090299989,1.5473672546004726e+18
-0.09800000090199988,1.5470907116549903e+18
-0.09900000090099988,1.5468325712916393e+18
-0.10000000089999987,1.5465925676228902e+18
-0.10100000089899987,1.546370441120558e+18
-0.10200000089799986,1.5461659384196756e+18
-0.10300000089699986,1.5459788121296445e+18
-0.10400000089599985,1.5458088206522685e+18
-0.10500000089499985,1.545655728006526e+18
-0.10600000089399984,1.545519303659602e+18
-0.10700000089299984,1.5453993223640556e+18
-0.10800000089199983,1.5452955640008515e+18
-0.10900000089099983,1.5452078134279798e+18
-0.11000000088999982,1.545135860334405e+18
-0.11100000088899982,1.545079499099202e+18
-0.11200000088799981,1.5450385286555945e+18
-0.11300000088699981,1.5450127523597908e+18
-0.1140000008859998,1.5450019778642842e+18
+1e-09,6.588560192002727e+18
+0.01000000099,1.7311586609842025e+18
+0.02000000098,1.5875384951283098e+18
+0.030000000970000003,1.5366952179085604e+18
+0.040000000960000004,1.516697931116677e+18
+0.050000000950000005,1.5116267365279708e+18
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_0.89_base_Y/cases_where_big_cores_variation_has_negative_impact_on_efficacity.txt b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_0.89_base_Y/cases_where_big_cores_variation_has_negative_impact_on_efficacity.txt
new file mode 100755
index 0000000..f84bd95
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_0.89_base_Y/cases_where_big_cores_variation_has_negative_impact_on_efficacity.txt
@@ -0,0 +1,141 @@
+Little core frequency level, Core 0 state, 1, 2, 3, 4, 5, Core 6 level, core 7 level,
+2, 1, 0, 0, 0, 0, 0, 3, 1,
+0, 0, 1, 1, 1, 1, 1, 3, 3,
+1, 1, 1, 1, 0, 0, 1, 0, 0,
+2, 0, 0, 1, 1, 1, 0, 3, 2,
+0, 0, 1, 1, 0, 1, 1, 3, 2,
+0, 0, 1, 0, 0, 1, 0, 1, 0,
+2, 1, 1, 1, 1, 0, 0, 3, 2,
+0, 1, 1, 0, 0, 0, 1, 2, 3,
+1, 0, 1, 1, 1, 0, 1, 2, 3,
+0, 0, 1, 1, 0, 1, 0, 3, 2,
+1, 1, 1, 0, 1, 1, 1, 2, 3,
+2, 0, 1, 0, 0, 0, 1, 0, 0,
+2, 0, 1, 0, 1, 1, 0, 3, 3,
+2, 1, 0, 0, 0, 1, 1, 3, 2,
+1, 1, 0, 0, 1, 1, 1, 3, 2,
+2, 1, 1, 1, 0, 1, 1, 0, 0,
+0, 1, 0, 1, 1, 1, 0, 1, 0,
+0, 0, 0, 1, 1, 1, 1, 1, 0,
+2, 1, 0, 0, 1, 0, 1, 0, 0,
+1, 1, 0, 1, 0, 0, 0, 3, 3,
+2, 0, 1, 1, 0, 0, 0, 1, 0,
+0, 0, 1, 1, 0, 1, 1, 1, 0,
+2, 0, 0, 1, 0, 0, 0, 3, 3,
+2, 0, 0, 1, 1, 0, 0, 2, 0,
+2, 0, 1, 1, 1, 1, 0, 3, 2,
+1, 1, 1, 1, 1, 1, 1, 0, 0,
+2, 1, 0, 1, 0, 0, 0, 3, 1,
+1, 1, 0, 1, 0, 1, 1, 3, 3,
+2, 0, 0, 0, 1, 1, 1, 2, 3,
+2, 1, 0, 1, 1, 1, 0, 0, 0,
+1, 1, 1, 1, 0, 1, 1, 3, 3,
+0, 0, 0, 1, 0, 1, 1, 1, 0,
+2, 1, 1, 0, 0, 1, 0, 3, 2,
+1, 1, 0, 1, 0, 1, 0, 3, 3,
+2, 0, 1, 1, 1, 1, 1, 3, 3,
+0, 0, 0, 1, 0, 1, 0, 1, 0,
+2, 1, 1, 1, 0, 1, 0, 3, 2,
+0, 1, 1, 1, 1, 0, 1, 0, 0,
+2, 1, 1, 0, 1, 1, 0, 3, 3,
+0, 1, 0, 0, 0, 1, 0, 1, 0,
+1, 1, 1, 0, 0, 1, 1, 3, 2,
+2, 1, 0, 0, 1, 0, 0, 1, 0,
+0, 1, 0, 0, 0, 1, 1, 0, 0,
+1, 0, 1, 0, 0, 0, 1, 2, 3,
+0, 1, 1, 0, 1, 1, 1, 0, 0,
+1, 0, 1, 1, 1, 1, 1, 0, 0,
+2, 1, 1, 1, 1, 1, 1, 1, 3,
+1, 1, 1, 0, 1, 1, 0, 0, 0,
+2, 1, 0, 1, 1, 1, 1, 0, 0,
+0, 1, 0, 0, 0, 0, 0, 1, 0,
+2, 0, 1, 1, 0, 1, 1, 1, 3,
+1, 0, 0, 1, 1, 1, 0, 1, 0,
+1, 0, 1, 0, 0, 0, 0, 3, 2,
+0, 0, 0, 0, 0, 1, 0, 3, 1,
+2, 1, 1, 1, 1, 1, 1, 0, 0,
+2, 1, 1, 1, 0, 0, 0, 0, 0,
+0, 1, 1, 1, 0, 1, 1, 3, 3,
+0, 0, 0, 1, 1, 1, 1, 3, 3,
+1, 0, 0, 0, 0, 1, 1, 3, 2,
+1, 1, 1, 0, 0, 0, 0, 0, 0,
+1, 0, 1, 1, 0, 1, 1, 3, 3,
+2, 1, 1, 1, 1, 1, 0, 2, 3,
+0, 1, 1, 1, 0, 1, 0, 3, 3,
+2, 0, 0, 1, 0, 0, 1, 3, 3,
+0, 1, 1, 1, 0, 1, 1, 2, 3,
+2, 1, 1, 1, 0, 0, 1, 2, 3,
+1, 1, 1, 1, 1, 1, 1, 3, 2,
+1, 1, 0, 0, 1, 1, 1, 2, 3,
+0, 1, 0, 1, 1, 0, 1, 3, 2,
+0, 0, 1, 1, 0, 0, 0, 2, 0,
+2, 0, 1, 1, 0, 1, 1, 3, 2,
+0, 0, 1, 0, 0, 0, 0, 3, 2,
+0, 0, 0, 0, 1, 1, 1, 0, 0,
+1, 1, 1, 1, 1, 1, 0, 0, 0,
+2, 0, 1, 1, 1, 1, 0, 0, 0,
+1, 1, 0, 1, 1, 1, 1, 3, 3,
+0, 1, 1, 1, 0, 0, 0, 1, 0,
+0, 1, 0, 0, 1, 0, 1, 1, 0,
+2, 0, 0, 0, 1, 0, 0, 0, 0,
+1, 1, 0, 1, 0, 0, 0, 0, 0,
+1, 0, 0, 0, 0, 1, 0, 0, 0,
+1, 1, 1, 0, 0, 0, 0, 3, 3,
+2, 1, 1, 1, 0, 1, 0, 2, 3,
+2, 1, 1, 1, 1, 0, 0, 0, 0,
+1, 1, 0, 1, 1, 0, 0, 3, 2,
+2, 1, 1, 0, 0, 1, 1, 1, 3,
+0, 1, 1, 1, 1, 1, 1, 1, 0,
+2, 1, 1, 0, 1, 0, 1, 0, 0,
+2, 0, 1, 1, 0, 1, 0, 3, 3,
+2, 1, 1, 0, 0, 0, 0, 3, 3,
+2, 1, 1, 0, 1, 1, 0, 2, 3,
+0, 1, 0, 1, 1, 1, 1, 1, 0,
+2, 1, 1, 1, 0, 1, 1, 2, 3,
+2, 1, 1, 1, 1, 1, 1, 3, 2,
+1, 1, 1, 1, 0, 1, 1, 0, 0,
+2, 1, 0, 0, 0, 0, 1, 3, 3,
+2, 0, 1, 0, 0, 0, 0, 3, 3,
+0, 1, 0, 0, 0, 0, 0, 0, 0,
+0, 1, 1, 1, 0, 0, 0, 0, 0,
+2, 0, 0, 1, 1, 1, 1, 3, 3,
+1, 0, 1, 1, 1, 0, 1, 0, 0,
+0, 1, 0, 1, 0, 1, 1, 1, 0,
+2, 0, 1, 1, 1, 1, 0, 2, 3,
+2, 1, 1, 1, 1, 1, 0, 3, 1,
+1, 1, 0, 0, 0, 1, 0, 1, 0,
+2, 0, 0, 1, 1, 1, 1, 2, 3,
+0, 1, 1, 1, 1, 1, 0, 1, 0,
+2, 0, 1, 0, 1, 0, 1, 0, 0,
+1, 1, 1, 0, 0, 1, 1, 3, 3,
+0, 0, 1, 1, 1, 1, 1, 1, 0,
+2, 1, 1, 0, 1, 1, 1, 0, 0,
+1, 1, 0, 1, 1, 0, 1, 2, 3,
+0, 1, 0, 0, 0, 1, 1, 3, 2,
+1, 1, 1, 0, 1, 1, 0, 3, 2,
+1, 1, 1, 1, 0, 1, 1, 2, 3,
+0, 0, 1, 0, 0, 0, 0, 1, 0,
+2, 1, 1, 1, 1, 0, 1, 0, 0,
+2, 0, 1, 0, 0, 1, 0, 1, 0,
+2, 0, 1, 1, 0, 0, 0, 2, 0,
+0, 1, 1, 0, 1, 0, 1, 1, 0,
+2, 1, 1, 0, 0, 0, 0, 0, 0,
+1, 1, 1, 1, 1, 1, 0, 2, 3,
+2, 1, 1, 0, 0, 1, 1, 3, 3,
+2, 1, 0, 0, 0, 0, 0, 1, 0,
+2, 0, 1, 1, 1, 1, 1, 1, 3,
+1, 0, 1, 0, 0, 1, 1, 1, 0,
+0, 1, 0, 0, 0, 1, 0, 0, 1,
+2, 1, 0, 0, 1, 1, 1, 3, 2,
+1, 0, 1, 1, 1, 1, 1, 2, 3,
+0, 1, 0, 1, 1, 1, 1, 3, 3,
+0, 0, 1, 0, 1, 1, 1, 0, 0.]]
+
+39 where little cores are with level 1
+36 where little cores are with level 2
+56 where little cores are with level 3
+
+46 cases where the big core is on level 3
+21 cases where the big core is on level 2
+5 cases where the big core is on level 1
+59 cases where big cores are on level 0
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv# b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
new file mode 100755
index 0000000..1f6c6ec
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
@@ -0,0 +1 @@
+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,06.09.2022 14:49,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/d_X_5_linear_coefficients.csv b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/d_X_5_linear_coefficients.csv
new file mode 100755
index 0000000..3fd0e5d
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/d_X_5_linear_coefficients.csv
@@ -0,0 +1,39 @@
+Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_0,frequency level of Little Socket,0.0,0.0
+X_1,Core 0 state,0.0,0.0
+X_2,Core 1 state,0.0,0.0
+X_3,Core 2 state,0.0,0.0
+X_4,Core 3 state,0.0,0.0
+X_5,frequency level of Big Socket,0.0,0.0
+X_6,Core 4 state,0.0,0.0
+X_7,Core 5 state,0.0,0.0
+X_8,Core 6 state,0.0,0.0
+X_9,Core 7 state,0.0,0.0
+
+
+ Ordered by value of coefficient, the first has the best positive interaction, with frequency level of Big Socket
+ Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_0,frequency level of Little Socket,0.0,0.0
+X_1,Core 0 state,0.0,0.0
+X_2,Core 1 state,0.0,0.0
+X_3,Core 2 state,0.0,0.0
+X_4,Core 3 state,0.0,0.0
+X_5,frequency level of Big Socket,0.0,0.0
+X_6,Core 4 state,0.0,0.0
+X_7,Core 5 state,0.0,0.0
+X_8,Core 6 state,0.0,0.0
+X_9,Core 7 state,0.0,0.0
+
+
+ Ordered by absolute value of coefficients, the first has the best absolute interaction, with frequency level of Big Socket
+ Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_0,frequency level of Little Socket,0.0,0.0
+X_1,Core 0 state,0.0,0.0
+X_2,Core 1 state,0.0,0.0
+X_3,Core 2 state,0.0,0.0
+X_4,Core 3 state,0.0,0.0
+X_5,frequency level of Big Socket,0.0,0.0
+X_6,Core 4 state,0.0,0.0
+X_7,Core 5 state,0.0,0.0
+X_8,Core 6 state,0.0,0.0
+X_9,Core 7 state,0.0,0.0
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/linear_coeff_vs_kernel_ridge_margins.csv b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
new file mode 100755
index 0000000..598e78a
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
@@ -0,0 +1,53 @@
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_0,frequency level of Little Socket,-292753999.7652562,201976182.4201647,494730182.18542093
+X_1,Core 0 state,-235420744.78682944,1060944296.0670272,1296365040.8538566
+X_2,Core 1 state,-349166162.2549529,468235150.7606225,817401313.0155754
+X_3,Core 2 state,-1442183823.090297,1604553505.4900584,3046737328.5803556
+X_4,Core 3 state,-408581218.88735193,255306768.86347324,663887987.7508252
+X_5,frequency level of Big Socket,-0.0,5.713381305281466e-07,5.713381305281466e-07
+X_6,Core 4 state,-3506794385.182414,2961837290.3257966,6468631675.508211
+X_7,Core 5 state,-2266195423.7737036,2087745954.4442053,4353941378.217909
+X_8,Core 6 state,-2288882810.2056246,2258075397.76685,4546958207.972475
+X_9,Core 7 state,-2891630710.2438974,3517869796.0262566,6409500506.270154
+
+
+ Ordered by kernel ridge coefficients, highest is better
+ X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_5,frequency level of Big Socket,-0.0,5.713381305281466e-07,5.713381305281466e-07
+X_1,Core 0 state,-235420744.78682944,1060944296.0670272,1296365040.8538566
+X_0,frequency level of Little Socket,-292753999.7652562,201976182.4201647,494730182.18542093
+X_2,Core 1 state,-349166162.2549529,468235150.7606225,817401313.0155754
+X_4,Core 3 state,-408581218.88735193,255306768.86347324,663887987.7508252
+X_3,Core 2 state,-1442183823.090297,1604553505.4900584,3046737328.5803556
+X_7,Core 5 state,-2266195423.7737036,2087745954.4442053,4353941378.217909
+X_8,Core 6 state,-2288882810.2056246,2258075397.76685,4546958207.972475
+X_9,Core 7 state,-2891630710.2438974,3517869796.0262566,6409500506.270154
+X_6,Core 4 state,-3506794385.182414,2961837290.3257966,6468631675.508211
+
+
+ Ordered by linear regression coefficients, highest is better
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_9,Core 7 state,-2891630710.2438974,3517869796.0262566,6409500506.270154
+X_6,Core 4 state,-3506794385.182414,2961837290.3257966,6468631675.508211
+X_8,Core 6 state,-2288882810.2056246,2258075397.76685,4546958207.972475
+X_7,Core 5 state,-2266195423.7737036,2087745954.4442053,4353941378.217909
+X_3,Core 2 state,-1442183823.090297,1604553505.4900584,3046737328.5803556
+X_1,Core 0 state,-235420744.78682944,1060944296.0670272,1296365040.8538566
+X_2,Core 1 state,-349166162.2549529,468235150.7606225,817401313.0155754
+X_4,Core 3 state,-408581218.88735193,255306768.86347324,663887987.7508252
+X_0,frequency level of Little Socket,-292753999.7652562,201976182.4201647,494730182.18542093
+X_5,frequency level of Big Socket,-0.0,5.713381305281466e-07,5.713381305281466e-07
+
+
+ Ordered by absolute difference, between kernel ridge, and linear coefficients, the first has the maximum non linearity variation
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_6,Core 4 state,-3506794385.182414,2961837290.3257966,6468631675.508211
+X_9,Core 7 state,-2891630710.2438974,3517869796.0262566,6409500506.270154
+X_8,Core 6 state,-2288882810.2056246,2258075397.76685,4546958207.972475
+X_7,Core 5 state,-2266195423.7737036,2087745954.4442053,4353941378.217909
+X_3,Core 2 state,-1442183823.090297,1604553505.4900584,3046737328.5803556
+X_1,Core 0 state,-235420744.78682944,1060944296.0670272,1296365040.8538566
+X_2,Core 1 state,-349166162.2549529,468235150.7606225,817401313.0155754
+X_4,Core 3 state,-408581218.88735193,255306768.86347324,663887987.7508252
+X_0,frequency level of Little Socket,-292753999.7652562,201976182.4201647,494730182.18542093
+X_5,frequency level of Big Socket,-0.0,5.713381305281466e-07,5.713381305281466e-07
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.70_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png
new file mode 100755
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diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/d_X_5_linear_coefficients.csv b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/d_X_5_linear_coefficients.csv
new file mode 100755
index 0000000..1a43c63
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/d_X_5_linear_coefficients.csv
@@ -0,0 +1,39 @@
+Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_0,frequency level of Little Socket,185338041.39682832,185338041.39682832
+X_1,Core 0 state,142944664.77740052,142944664.77740052
+X_2,Core 1 state,-62188270.581818655,62188270.581818655
+X_3,Core 2 state,-483852878.29017764,483852878.29017764
+X_4,Core 3 state,-244693261.0900952,244693261.0900952
+X_5,frequency level of Big Socket,-276565385.3744161,276565385.3744161
+X_6,Core 4 state,-64565898.18780776,64565898.18780776
+X_7,Core 5 state,246503048.44622064,246503048.44622064
+X_8,Core 6 state,-316474218.4838966,316474218.4838966
+X_9,Core 7 state,122364297.14268036,122364297.14268036
+
+
+ Ordered by value of coefficient, the first has the best positive interaction, with frequency level of Big Socket
+ Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_7,Core 5 state,246503048.44622064,246503048.44622064
+X_0,frequency level of Little Socket,185338041.39682832,185338041.39682832
+X_1,Core 0 state,142944664.77740052,142944664.77740052
+X_9,Core 7 state,122364297.14268036,122364297.14268036
+X_2,Core 1 state,-62188270.581818655,62188270.581818655
+X_6,Core 4 state,-64565898.18780776,64565898.18780776
+X_4,Core 3 state,-244693261.0900952,244693261.0900952
+X_5,frequency level of Big Socket,-276565385.3744161,276565385.3744161
+X_8,Core 6 state,-316474218.4838966,316474218.4838966
+X_3,Core 2 state,-483852878.29017764,483852878.29017764
+
+
+ Ordered by absolute value of coefficients, the first has the best absolute interaction, with frequency level of Big Socket
+ Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_3,Core 2 state,-483852878.29017764,483852878.29017764
+X_8,Core 6 state,-316474218.4838966,316474218.4838966
+X_5,frequency level of Big Socket,-276565385.3744161,276565385.3744161
+X_7,Core 5 state,246503048.44622064,246503048.44622064
+X_4,Core 3 state,-244693261.0900952,244693261.0900952
+X_0,frequency level of Little Socket,185338041.39682832,185338041.39682832
+X_1,Core 0 state,142944664.77740052,142944664.77740052
+X_9,Core 7 state,122364297.14268036,122364297.14268036
+X_6,Core 4 state,-64565898.18780776,64565898.18780776
+X_2,Core 1 state,-62188270.581818655,62188270.581818655
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/el_of_Big_Socket_over_of_Little_Socket__Core_0_state__Core_1_state__Core_2_state__Core_3_state__el_of_Big_Socket__Core_4_state__Core_5_state__Core_6_state__Core_7_state.png b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/el_of_Big_Socket_over_of_Little_Socket__Core_0_state__Core_1_state__Core_2_state__Core_3_state__el_of_Big_Socket__Core_4_state__Core_5_state__Core_6_state__Core_7_state.png
new file mode 100755
index 0000000000000000000000000000000000000000..3428af2981113b975d260ef11fb84fca560e8184
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diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/linear_coeff_vs_kernel_ridge_margins.csv b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
new file mode 100755
index 0000000..5346ecf
--- /dev/null
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/linear_coeff_vs_kernel_ridge_margins.csv
@@ -0,0 +1,53 @@
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_0,frequency level of Little Socket,-318832172.2086933,114636041.36645955,433468213.5751529
+X_1,Core 0 state,-750825726.0535247,968638849.2592059,1719464575.3127308
+X_2,Core 1 state,-1136889782.8201854,1203698350.7748914,2340588133.5950766
+X_3,Core 2 state,-1461095066.8930154,1156874732.6674967,2617969799.560512
+X_4,Core 3 state,-2851620839.593662,2484680012.8657327,5336300852.459394
+X_5,frequency level of Big Socket,-219090685.044323,251237789.89416486,470328474.9384879
+X_6,Core 4 state,-3311012110.96559,2938092695.237851,6249104806.203442
+X_7,Core 5 state,-2884690358.215931,1772970016.057762,4657660374.273693
+X_8,Core 6 state,-2511497256.669151,2316636754.615268,4828134011.284419
+X_9,Core 7 state,-2563406395.758262,1988033960.003158,4551440355.76142
+
+
+ Ordered by kernel ridge coefficients, highest is better
+ X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_5,frequency level of Big Socket,-219090685.044323,251237789.89416486,470328474.9384879
+X_0,frequency level of Little Socket,-318832172.2086933,114636041.36645955,433468213.5751529
+X_1,Core 0 state,-750825726.0535247,968638849.2592059,1719464575.3127308
+X_2,Core 1 state,-1136889782.8201854,1203698350.7748914,2340588133.5950766
+X_3,Core 2 state,-1461095066.8930154,1156874732.6674967,2617969799.560512
+X_8,Core 6 state,-2511497256.669151,2316636754.615268,4828134011.284419
+X_9,Core 7 state,-2563406395.758262,1988033960.003158,4551440355.76142
+X_4,Core 3 state,-2851620839.593662,2484680012.8657327,5336300852.459394
+X_7,Core 5 state,-2884690358.215931,1772970016.057762,4657660374.273693
+X_6,Core 4 state,-3311012110.96559,2938092695.237851,6249104806.203442
+
+
+ Ordered by linear regression coefficients, highest is better
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_6,Core 4 state,-3311012110.96559,2938092695.237851,6249104806.203442
+X_4,Core 3 state,-2851620839.593662,2484680012.8657327,5336300852.459394
+X_8,Core 6 state,-2511497256.669151,2316636754.615268,4828134011.284419
+X_9,Core 7 state,-2563406395.758262,1988033960.003158,4551440355.76142
+X_7,Core 5 state,-2884690358.215931,1772970016.057762,4657660374.273693
+X_2,Core 1 state,-1136889782.8201854,1203698350.7748914,2340588133.5950766
+X_3,Core 2 state,-1461095066.8930154,1156874732.6674967,2617969799.560512
+X_1,Core 0 state,-750825726.0535247,968638849.2592059,1719464575.3127308
+X_5,frequency level of Big Socket,-219090685.044323,251237789.89416486,470328474.9384879
+X_0,frequency level of Little Socket,-318832172.2086933,114636041.36645955,433468213.5751529
+
+
+ Ordered by absolute difference, between kernel ridge, and linear coefficients, the first has the maximum non linearity variation
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_6,Core 4 state,-3311012110.96559,2938092695.237851,6249104806.203442
+X_4,Core 3 state,-2851620839.593662,2484680012.8657327,5336300852.459394
+X_8,Core 6 state,-2511497256.669151,2316636754.615268,4828134011.284419
+X_7,Core 5 state,-2884690358.215931,1772970016.057762,4657660374.273693
+X_9,Core 7 state,-2563406395.758262,1988033960.003158,4551440355.76142
+X_3,Core 2 state,-1461095066.8930154,1156874732.6674967,2617969799.560512
+X_2,Core 1 state,-1136889782.8201854,1203698350.7748914,2340588133.5950766
+X_1,Core 0 state,-750825726.0535247,968638849.2592059,1719464575.3127308
+X_5,frequency level of Big Socket,-219090685.044323,251237789.89416486,470328474.9384879
+X_0,frequency level of Little Socket,-318832172.2086933,114636041.36645955,433468213.5751529
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/point_wise_marginal_distribution_of_big_socket_frequency_level.png
new file mode 100755
index 0000000000000000000000000000000000000000..5d24e7638e3364bc6fdc43fd6244ae9a30901d3d
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diff --git a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_aberrant_points.csv b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_aberrant_points.csv
index 6d0e44a..4ea1923 100755
--- a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_aberrant_points.csv
+++ b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_aberrant_points.csv
@@ -1,22 +1,26 @@
X_0,X_1,X_2,X_3,X_4,X_5,X_6,X_7,X_8,X_9,y
+2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,8236960890.90969
+2.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,6956231392.081026
2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,994906080.8659663
1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3998672440.749671
-0.0,0.0,0.0,1.0,2.0,0.0,1.0,1.0,0.0,0.0,6532788063.289651
-1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,7249844128.351241
-0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,7650055845.407672
+0.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,0.0,0.0,6532788063.289651
+2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,8321129010.784183
+1.0,0.0,0.0,1.0,1.0,2.0,0.0,0.0,1.0,0.0,7249844128.351241
+0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,7650055845.407672
+2.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,6806147312.252427
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1016987763.6032282
2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1980229389.772511
2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5377240292.736961
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,3307720550.5370083
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,5789616901.049658
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,1.0,0.0,7665772326.561901
-2.0,1.0,1.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,5072151352.996373
-2.0,1.0,1.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,5822958761.806049
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,4149980287.5936337
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,6611133148.221605
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,1.0,0.0,8224428196.629629
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,3307720550.5370083
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,5789616901.049658
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,7665772326.561901
+2.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,5072151352.996373
+2.0,1.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,5822958761.806049
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,4149980287.5936337
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,6611133148.221605
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,8224428196.629629
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,997516184.7000968
1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1014996574.3865615
@@ -26,9 +30,35 @@ X_0,X_1,X_2,X_3,X_4,X_5,X_6,X_7,X_8,X_9,y
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diff --git a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_duplicate.csv b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_duplicate.csv
index 1e7c029..b7b08b5 100755
--- a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_duplicate.csv
+++ b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_after_removing_duplicate.csv
@@ -1,31 +1,59 @@
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diff --git a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_aberrant_points.csv b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_aberrant_points.csv
index e5d4a3b..edfb261 100755
--- a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_aberrant_points.csv
+++ b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_aberrant_points.csv
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-2.0,1.0,1.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,5822958761.806049
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,4149980287.5936337
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,6611133148.221605
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,1.0,0.0,8224428196.629629
+2.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,8296551953.00833
+2.0,1.0,1.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,9400881802.713095
+2.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,0.0,9963434196.49885
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,3307720550.5370083
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+0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,7665772326.561901
+2.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,5072151352.996373
+2.0,1.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,5822958761.806049
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,4149980287.5936337
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,6611133148.221605
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,8224428196.629629
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,997516184.7000968
1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1014996574.3865615
@@ -40,9 +40,39 @@ X_0,X_1,X_2,X_3,X_4,X_5,X_6,X_7,X_8,X_9,y
0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2905397356.669485
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3029054692.61153
2.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5058399218.983161
-2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5026691733.102776
+2.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,5026691733.102776
0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5947637003.818383
-1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5035525633.343237
+1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,5035525633.343237
2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5326600510.288329
-2.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,4059018123.5159216
+2.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4059018123.5159216
0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,4062233415.93208
+1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4153496621.1304984
+2.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6443423519.784533
+2.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,6519117311.516021
+0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6448575832.027497
+1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,6539495281.754154
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,6473246073.976255
+0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,3145168392.3157244
+0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,3331046015.069652
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+0.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,9166575000.916658
+1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6540008502.011052
+1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,7245431755.278297
+0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3321398441.599851
+0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,5549420363.04308
+2.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,9229945635.620207
+1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,7263008047.412917
+0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,4385426351.149858
+1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,5040602049.508794
+2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,6928278461.367919
+0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,5821399464.43125
+2.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,4809102669.532892
+1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,8795770993.306417
+0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,8367150566.874451
+1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,8895689149.038376
+2.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,9428892010.8998
+1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,7282684688.88371
+2.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,7595205906.032112
+0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,9080672696.233337
+1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2991522026.5766816
+1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,8754497623.153894
diff --git a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_duplicate.csv b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_duplicate.csv
index 6d0e44a..4ea1923 100755
--- a/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_duplicate.csv
+++ b/kernel_ridge_linear_model/model_output_data/From_summaries_X_y_before_removing_duplicate.csv
@@ -1,22 +1,26 @@
X_0,X_1,X_2,X_3,X_4,X_5,X_6,X_7,X_8,X_9,y
+2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,8236960890.90969
+2.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,6956231392.081026
2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,994906080.8659663
1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3998672440.749671
-0.0,0.0,0.0,1.0,2.0,0.0,1.0,1.0,0.0,0.0,6532788063.289651
-1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,7249844128.351241
-0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,7650055845.407672
+0.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,0.0,0.0,6532788063.289651
+2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,8321129010.784183
+1.0,0.0,0.0,1.0,1.0,2.0,0.0,0.0,1.0,0.0,7249844128.351241
+0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,7650055845.407672
+2.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,6806147312.252427
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1016987763.6032282
2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1980229389.772511
2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5377240292.736961
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,3307720550.5370083
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,5789616901.049658
-0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,1.0,0.0,7665772326.561901
-2.0,1.0,1.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,5072151352.996373
-2.0,1.0,1.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,5822958761.806049
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,4149980287.5936337
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,6611133148.221605
-2.0,1.0,0.0,0.0,2.0,0.0,1.0,1.0,1.0,0.0,8224428196.629629
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,3307720550.5370083
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,5789616901.049658
+0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,7665772326.561901
+2.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,5072151352.996373
+2.0,1.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,5822958761.806049
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,4149980287.5936337
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,6611133148.221605
+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,8224428196.629629
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08333333333333333
0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,997516184.7000968
1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1014996574.3865615
@@ -26,9 +30,35 @@ X_0,X_1,X_2,X_3,X_4,X_5,X_6,X_7,X_8,X_9,y
0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2905397356.669485
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3029054692.61153
2.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5058399218.983161
-2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5026691733.102776
+2.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,5026691733.102776
0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5947637003.818383
-1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5035525633.343237
+1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,5035525633.343237
2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5326600510.288329
-2.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,4059018123.5159216
+2.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4059018123.5159216
0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,4062233415.93208
+1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4153496621.1304984
+2.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6443423519.784533
+2.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,6519117311.516021
+0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6448575832.027497
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+2.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,6473246073.976255
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+0.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,9166575000.916658
+1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,6540008502.011052
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+2.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,9229945635.620207
+1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,7263008047.412917
+0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,4385426351.149858
+1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,5040602049.508794
+2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,6928278461.367919
+0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,5821399464.43125
+2.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,4809102669.532892
+1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,8795770993.306417
+0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,8367150566.874451
+1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,8895689149.038376
+1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,7282684688.88371
+0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,9080672696.233337
+1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2991522026.5766816
diff --git a/kernel_ridge_linear_model/utils_functions.py b/kernel_ridge_linear_model/utils_functions.py
index 9eecfd4..1bcdf30 100755
--- a/kernel_ridge_linear_model/utils_functions.py
+++ b/kernel_ridge_linear_model/utils_functions.py
@@ -60,11 +60,11 @@ def convert_from_configuration_to_base_Y(configuration, format="google_pixel_4a
result.append(0)
if frequency_level == 0:
- result[4] = 0
+ result[5] = 0
else :
- result[4] = frequency_level - 1
+ result[5] = frequency_level - 1
- print (" --- Result = ", result)
+ print (" --- Result _ samsung = ", result)
else:
return -1
return result
@@ -1249,7 +1249,7 @@ def inputs_where_d_X_index_is_negative(pointwise_margins, variable_index, X_trai
-def plot_marginal_interactions (X_train, pointwise_margins, cibled_indice, indice_0, indice_1, indice_2, indice_3, indice_4, indice_5, indice_6, indice_7, indice_8 , X_meaning_dictionnary_, marginal_effect_exploration_folder_ ):
+def plot_marginal_interactions (X_train, pointwise_margins, cibled_indice, indice_0, indice_1, indice_2, indice_3, indice_4, indice_5, indice_6, indice_7, indice_8 , X_meaning_dictionnary_, marginal_effect_exploration_folder_):
print("--- In function plot_marginal_interactions : plotting d_X_" + str(cibled_indice) + " with regard to X_" + str(indice_0) + ", X_" + str(indice_1) + ", X_" + str(indice_2))
fig, ((d_X_cibled_indice_over_X_indice_0, d_X_cibled_indice_over_X_indice_3, d_X_cibled_indice_over_X_indice_6 ) ,
@@ -1406,6 +1406,177 @@ def plot_marginal_interactions (X_train, pointwise_margins, cibled_indice, indic
+def plot_ten_marginal_interactions (X_train, pointwise_margins, cibled_indice, indice_0, indice_1, indice_2, indice_3, indice_4, indice_5, indice_6, indice_7, indice_8 , indice_9, X_meaning_dictionnary_, marginal_effect_exploration_folder_):
+
+ print("--- In function plot_marginal_interactions : plotting d_X_" + str(cibled_indice) + " with regard to X_" + str(indice_0) + ", X_" + str(indice_1) + ", X_" + str(indice_2))
+ fig, ((d_X_cibled_indice_over_X_indice_0, d_X_cibled_indice_over_X_indice_1, d_X_cibled_indice_over_X_indice_2, d_X_cibled_indice_over_X_indice_3, d_X_cibled_indice_over_X_indice_4 ) ,
+ ( d_X_cibled_indice_over_X_indice_5, d_X_cibled_indice_over_X_indice_6, d_X_cibled_indice_over_X_indice_7, d_X_cibled_indice_over_X_indice_8, d_X_cibled_indice_over_X_indice_9 )) = plt.subplots(nrows= 2, ncols = 5, figsize=(27, 14))
+
+
+ transparency = 0.007
+ # special trick to print acceptable plots
+ d_X_cibled_indice_over_X_indice_0.scatter(X_train[:,indice_0], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_0.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_0]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_0.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_0)] + " (" + "X_" + str(indice_0) +")")
+ d_X_cibled_indice_over_X_indice_0.set_xlabel("X_" + str(indice_0) + ": " + X_meaning_dictionnary_["X_"+ str(indice_0)])
+ #d_X_cibled_indice_over_X_indice_0.set_ylabel()
+ d_X_cibled_indice_over_X_indice_0.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_0.set_xlim(xmin=-0.25)
+
+
+
+ d_X_cibled_indice_over_X_indice_1.scatter(X_train[:,indice_1], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_1.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_1]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_1.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) + ")" + " over \n " +\
+ X_meaning_dictionnary_["X_" + str(indice_1)] + " (" + "X_" + str(indice_1) +").")
+ d_X_cibled_indice_over_X_indice_1.set_xlabel("X_" + str(indice_1) + ": " + X_meaning_dictionnary_["X_" + str(indice_1)])
+ d_X_cibled_indice_over_X_indice_1.set_ylabel("d_X_" + str(cibled_indice) + " : pointwise marginal effect of " + X_meaning_dictionnary_["X_" + str(cibled_indice)] )
+ d_X_cibled_indice_over_X_indice_1.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_1.set_xlim(xmin=-0.25)
+
+
+
+ d_X_cibled_indice_over_X_indice_2.scatter(X_train[:,indice_2], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_2.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_2]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_2.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_2)] + " (" + "X_" + str(indice_2) +")")
+ d_X_cibled_indice_over_X_indice_2.set_xlabel("X_" + str(indice_2) + ": " + X_meaning_dictionnary_["X_" + str(indice_2)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_2.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_2.set_xlim(xmin=-0.25)
+
+
+
+ d_X_cibled_indice_over_X_indice_3.scatter(X_train[:,indice_3], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_3.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_3]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_3.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_3)] + " (" + "X_" + str(indice_3) +")")
+ d_X_cibled_indice_over_X_indice_3.set_xlabel("X_" + str(indice_3) + ": " + X_meaning_dictionnary_["X_" + str(indice_3)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_3.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_3.set_xlim(xmin=-0.25)
+
+
+ ###################
+
+ d_X_cibled_indice_over_X_indice_4.scatter(X_train[:,indice_4], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_4.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_4]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_4.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_4)] + " (" + "X_" + str(indice_4) +")")
+ d_X_cibled_indice_over_X_indice_4.set_xlabel("X_" + str(indice_3) + ": " + X_meaning_dictionnary_["X_" + str(indice_4)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_4.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_4.set_xlim(xmin=-0.25)
+
+
+
+ d_X_cibled_indice_over_X_indice_5.scatter(X_train[:,indice_5], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_5.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_5]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_5.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_5)] + " (" + "X_" + str(indice_5) +")")
+ d_X_cibled_indice_over_X_indice_5.set_xlabel("X_" + str(indice_5) + ": " + X_meaning_dictionnary_["X_" + str(indice_5)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_5.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_5.set_xlim(xmin=-0.25)
+
+
+ d_X_cibled_indice_over_X_indice_6.scatter(X_train[:,indice_6], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_6.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_6]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_6.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_6)] + " (" + "X_" + str(indice_6) +")")
+ d_X_cibled_indice_over_X_indice_6.set_xlabel("X_" + str(indice_6) + ": " + X_meaning_dictionnary_["X_" + str(indice_6)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_6.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_6.set_xlim(xmin=-0.25)
+
+
+ d_X_cibled_indice_over_X_indice_7.scatter(X_train[:,indice_7], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_7.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_7]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_7.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_7)] + " (" + "X_" + str(indice_7) +")")
+ d_X_cibled_indice_over_X_indice_7.set_xlabel("X_" + str(indice_7) + ": " + X_meaning_dictionnary_["X_" + str(indice_7)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_7.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_7.set_xlim(xmin=-0.25)
+
+ d_X_cibled_indice_over_X_indice_8.scatter(X_train[:,indice_8], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_8.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_8]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_8.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_8)] + " (" + "X_" + str(indice_8) +")")
+ d_X_cibled_indice_over_X_indice_8.set_xlabel("X_" + str(indice_8) + ": " + X_meaning_dictionnary_["X_" + str(indice_8)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_8.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_8.set_xlim(xmin=-0.25)
+
+
+ d_X_cibled_indice_over_X_indice_9.scatter(X_train[:,indice_9], pointwise_margins[:,cibled_indice], s=2000 , alpha=transparency, c = "blue")
+ for current_line_index in range(0, 50):
+ d_X_cibled_indice_over_X_indice_9.scatter([var + 0.3 + 0.005*current_line_index for var in X_train[:,indice_9]], pointwise_margins[:,cibled_indice], s=10, marker = "_", c = "blue")
+ d_X_cibled_indice_over_X_indice_9.set_title( X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"+ \
+ " over \n " + X_meaning_dictionnary_["X_" + str(indice_9)] + " (" + "X_" + str(indice_9) +")")
+ d_X_cibled_indice_over_X_indice_9.set_xlabel("X_" + str(indice_9) + ": " + X_meaning_dictionnary_["X_" + str(indice_9)])
+ #d_X_cibled_indice_over_X_indice_2.set_ylabel( )
+ d_X_cibled_indice_over_X_indice_9.tick_params(size=8)
+ d_X_cibled_indice_over_X_indice_9.set_xlim(xmin=-0.25)
+
+
+ #_ = d_X_0_over_X_5.set_title("Point wise marginal effect of frequency of core 0 according to the one of core 1, 2 and 3")
+ picture_name = X_meaning_dictionnary_["X_" + str(cibled_indice)].replace(" ","_")[-16:] + \
+ "_over_" + X_meaning_dictionnary_["X_" + str(indice_0)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_1)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_2)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_3)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_4)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_5)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_6)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_7)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_8)].replace(" ","_")[-16:] + "__" + \
+ X_meaning_dictionnary_["X_" + str(indice_9)].replace(" ","_")[-16:] + ".png"
+
+ reduced_picture_name = "X_" + str(cibled_indice) + \
+ "_over_" + "X_" + str(indice_0) + "__" + \
+ "X_" + str(indice_1) + "__" + \
+ "X_" + str(indice_2) + "__" + \
+ "X_" + str(indice_3) + "__" + \
+ "X_" + str(indice_4) + "__" + \
+ "X_" + str(indice_5) + "__" + \
+ "X_" + str(indice_6) + "__" + \
+ "X_" + str(indice_7) + "__" + \
+ "X_" + str(indice_8) + "__" + \
+ "X_" + str(indice_9) + ".png"
+
+ picture_title = X_meaning_dictionnary_["X_" + str(cibled_indice)] + " (" + "X_" + str(cibled_indice) +")"\
+ " over " + X_meaning_dictionnary_["X_" + str(indice_0)] + " (" + "X_" + str(indice_0) +")," + \
+ X_meaning_dictionnary_["X_" + str(indice_1)] + " (" + "X_" + str(indice_1) +")," + \
+ X_meaning_dictionnary_["X_" + str(indice_2)] + " (" + "X_" + str(indice_2) +"), \n" + \
+ X_meaning_dictionnary_["X_" + str(indice_3)] + " (" + "X_" + str(indice_3) +")," + \
+ X_meaning_dictionnary_["X_" + str(indice_4)] + " (" + "X_" + str(indice_4) +")," + \
+ X_meaning_dictionnary_["X_" + str(indice_5)] + " (" + "X_" + str(indice_5) +"), \n" + \
+ X_meaning_dictionnary_["X_" + str(indice_6)] + " (" + "X_" + str(indice_6) +"), "+ \
+ X_meaning_dictionnary_["X_" + str(indice_7)] + " (" + "X_" + str(indice_7) +"), \n" + \
+ X_meaning_dictionnary_["X_" + str(indice_8)] + " (" + "X_" + str(indice_8) +"), \n" + \
+ X_meaning_dictionnary_["X_" + str(indice_9)] + " (" + "X_" + str(indice_9) +"). \n"
+
+ fig.suptitle(picture_title)
+ plt.gcf().autofmt_xdate()
+ plt.xticks(fontsize=8)
+ plt.savefig(marginal_effect_exploration_folder_ + "/"+ picture_name )
+ plt.savefig(marginal_effect_exploration_folder_ + "/"+ reduced_picture_name )
+ plt.clf()
+ plt.cla()
+ plt.close()
+
+
"""
def plot_marginal_interactions (X_train, pointwise_margins, cibled_indice, indice_0, indice_1, indice_2, X_meaning_dictionnary_, marginal_effect_exploration_folder_ ):
--
GitLab