extracting global and local lesson learned from experiments on samsung

kernel_ridge_linear_model/.~lock.global_lesson_learned_as_table.ods#

+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,07.09.2022 20:10,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
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kernel_ridge_linear_model/.~lock.local_lesson_learned_as_table.ods#

+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,07.09.2022 20:10,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file

kernel_ridge_linear_model/best_R2_exploration_summary.csv

@@ -230,3 +230,6 @@ samsung_galaxy_s8,samsung_galaxy_s8_format,False,False,1000,0.049940597311979425
 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,
 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,
+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,0.8599994728431342,10,10,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,

kernel_ridge_linear_model/first_conclusions_based_on_marginal_effect_analysis.txt

@@ -142,7 +142,6 @@ Les résultats sont deshormais consignés dans les tableaux [4] et [5]
 	3 - L'interaction entre l'état du core 0 et les fréquences des autres sockets et négligeable. 
      --- Les résultats de l'analyse des graphes sont contenus dans les tableaux [4] et [5]
 
- 
 
 
 [1] Coeffecients de d_X_8 par rapport aux autres variables https://gitlab.liris.cnrs.fr/plwapet/scripts_and_relevant_files/-/blob/main/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_0.89_base_Y/d_X_8_linear_coefficients.csv
@@ -153,6 +152,48 @@ Les résultats sont deshormais consignés dans les tableaux [4] et [5]
 							
 [4] Tableau récapitulant de manière ordonnées, les observations locales faites jusqu'ici, https://gitlab.liris.cnrs.fr/plwapet/scripts_and_relevant_files/-/blob/main/kernel_ridge_linear_model/local_lesson_learned_as_table.ods
 [5] Tableau récapitulant de manière ordonnées, les observations globales faites jusqu'ici, https://gitlab.liris.cnrs.fr/plwapet/scripts_and_relevant_files/-/blob/main/kernel_ridge_linear_model/global_lesson_learned_as_table.ods
+
+
+
+
+
+PARTIE C: RESULTATS OBTENUS AVEC LE SAMSUNG, LE MODELE AYANT UN R2 SCORE DE 0.92
+          LES SOUS PARTIES CONCOURENT UNE ANALYSE SYSTEMATIQUE ENTRE LES BIG CORES ET LES LITTLES CORES
+
+    PARTIE 1: CONCLUSIONS GENERALES
+   ---- D'après les coefficients de kernel ridge model, voici les variable qui aident à augmenter l'efficacité énergétique
+    1- Le niveau de fréquence du Big core  
+    2- Le niveau de fréquence du Little core
+    3 -L'état des cores (sans ordre apparrent)
+    
+    4 - Les niveau de fréquence des Big cores et little core ont une dépendance les plus linéaires avec l'efficacité.  
+    PARTIE 2: VARIABLE CIBLE : niveau de fréquence du Big Core  (X_5)
+    
+    --- D'après l'estimation de d_X_5 en fonction des autres variables
+    1 - Le niveau de fréquence du Big core interagit le plus avec l'état du premier Big Core 
+    2 - Le niveau de fréquence du Big core interagit aussi positivement avec celle du Litte socket et du core 0
+    2 - L'interaction est moins grande avec elle même ou avec le niveau de fréquence des autres cores secondaires
+                  (****qui ne sont pas les premiers des sockets****). 
+   
+
+
+
+
+
+
+
+
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+
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+
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+
+
+
 
 
 

kernel_ridge_linear_model/kernel_ridge.py

@@ -117,6 +117,7 @@ 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")
+    automatization_summaries_folder = "/mnt/c/Users/lavoi/opportunist_task_on_android/scripts_valuable_files/experiment_automatization/can_be_reused/summary_files_only_samsung_0.92"
     alpha = 0.049940597311979425
     energy_gap = 10
     number_of_neighbour = 10
@@ -402,6 +403,19 @@ if compute_marginal_effect:
             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)
         
 
+            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_ten_marginal_interactions(X_train, pointwise_margins, 0, 0, 1, 2, 3,4,5,6,7, 8, 9, X_meaning_dictionnary, marginal_effect_exploration_folder)
+        
             """
 
             ## Regression of d_X_7 over all other variable including 

kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.85_base_Y/d_X_5_linear_coefficients.csv

+Variable,meaning ,d_X_5 (Variation relative to frequency level of Big Socket),asolute d_X_5
+X_0,frequency level of Little Socket,220233735.30721536,220233735.30721536
+X_1,Core 0 state,394814097.0016166,394814097.0016166
+X_2,Core 1 state,331275113.4953043,331275113.4953043
+X_3,Core 2 state,171373633.01235878,171373633.01235878
+X_4,Core 3 state,-9298088.488183673,9298088.488183673
+X_5,frequency level of Big Socket,-760913102.4399335,760913102.4399335
+X_6,Core 4 state,452233558.6880488,452233558.6880488
+X_7,Core 5 state,-250015012.25161368,250015012.25161368
+X_8,Core 6 state,-109850555.29466677,109850555.29466677
+X_9,Core 7 state,-110556859.19428957,110556859.19428957
+
+
+ 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_6,Core 4 state,452233558.6880488,452233558.6880488
+X_1,Core 0 state,394814097.0016166,394814097.0016166
+X_2,Core 1 state,331275113.4953043,331275113.4953043
+X_0,frequency level of Little Socket,220233735.30721536,220233735.30721536
+X_3,Core 2 state,171373633.01235878,171373633.01235878
+X_4,Core 3 state,-9298088.488183673,9298088.488183673
+X_8,Core 6 state,-109850555.29466677,109850555.29466677
+X_9,Core 7 state,-110556859.19428957,110556859.19428957
+X_7,Core 5 state,-250015012.25161368,250015012.25161368
+X_5,frequency level of Big Socket,-760913102.4399335,760913102.4399335
+
+
+ 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_5,frequency level of Big Socket,-760913102.4399335,760913102.4399335
+X_6,Core 4 state,452233558.6880488,452233558.6880488
+X_1,Core 0 state,394814097.0016166,394814097.0016166
+X_2,Core 1 state,331275113.4953043,331275113.4953043
+X_7,Core 5 state,-250015012.25161368,250015012.25161368
+X_0,frequency level of Little Socket,220233735.30721536,220233735.30721536
+X_3,Core 2 state,171373633.01235878,171373633.01235878
+X_9,Core 7 state,-110556859.19428957,110556859.19428957
+X_8,Core 6 state,-109850555.29466677,109850555.29466677
+X_4,Core 3 state,-9298088.488183673,9298088.488183673

kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.85_base_Y/linear_coeff_vs_kernel_ridge_margins.csv

+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_0,frequency level of Little Socket,-464079570.45148593,463475167.59674156,927554738.0482275
+X_1,Core 0 state,-1463427459.8175542,913195271.2072272,2376622731.024781
+X_2,Core 1 state,-1262295675.048803,1112034762.5120502,2374330437.560853
+X_3,Core 2 state,-1644412844.9485848,1137399538.378798,2781812383.327383
+X_4,Core 3 state,-3088395573.2049294,2308149659.4488873,5396545232.653816
+X_5,frequency level of Big Socket,236312365.468121,39041058.975076854,197271306.49304414
+X_6,Core 4 state,-2873393885.4892583,2692948767.503813,5566342652.993071
+X_7,Core 5 state,-2722473666.954267,2005830353.2589607,4728304020.213228
+X_8,Core 6 state,-2114667329.4125197,1800340181.3984437,3915007510.8109636
+X_9,Core 7 state,-2879418196.9134474,2488012051.6555505,5367430248.568998
+
+
+ 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,236312365.468121,39041058.975076854,197271306.49304414
+X_0,frequency level of Little Socket,-464079570.45148593,463475167.59674156,927554738.0482275
+X_2,Core 1 state,-1262295675.048803,1112034762.5120502,2374330437.560853
+X_1,Core 0 state,-1463427459.8175542,913195271.2072272,2376622731.024781
+X_3,Core 2 state,-1644412844.9485848,1137399538.378798,2781812383.327383
+X_8,Core 6 state,-2114667329.4125197,1800340181.3984437,3915007510.8109636
+X_7,Core 5 state,-2722473666.954267,2005830353.2589607,4728304020.213228
+X_6,Core 4 state,-2873393885.4892583,2692948767.503813,5566342652.993071
+X_9,Core 7 state,-2879418196.9134474,2488012051.6555505,5367430248.568998
+X_4,Core 3 state,-3088395573.2049294,2308149659.4488873,5396545232.653816
+
+
+ Ordered by linear regression coefficients, highest is better 
+X_variable,meaning ,kernel ridge margins,linear regression coefficients,difference
+X_6,Core 4 state,-2873393885.4892583,2692948767.503813,5566342652.993071
+X_9,Core 7 state,-2879418196.9134474,2488012051.6555505,5367430248.568998
+X_4,Core 3 state,-3088395573.2049294,2308149659.4488873,5396545232.653816
+X_7,Core 5 state,-2722473666.954267,2005830353.2589607,4728304020.213228
+X_8,Core 6 state,-2114667329.4125197,1800340181.3984437,3915007510.8109636
+X_3,Core 2 state,-1644412844.9485848,1137399538.378798,2781812383.327383
+X_2,Core 1 state,-1262295675.048803,1112034762.5120502,2374330437.560853
+X_1,Core 0 state,-1463427459.8175542,913195271.2072272,2376622731.024781
+X_0,frequency level of Little Socket,-464079570.45148593,463475167.59674156,927554738.0482275
+X_5,frequency level of Big Socket,236312365.468121,39041058.975076854,197271306.49304414
+
+
+ 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,-2873393885.4892583,2692948767.503813,5566342652.993071
+X_4,Core 3 state,-3088395573.2049294,2308149659.4488873,5396545232.653816
+X_9,Core 7 state,-2879418196.9134474,2488012051.6555505,5367430248.568998
+X_7,Core 5 state,-2722473666.954267,2005830353.2589607,4728304020.213228
+X_8,Core 6 state,-2114667329.4125197,1800340181.3984437,3915007510.8109636
+X_3,Core 2 state,-1644412844.9485848,1137399538.378798,2781812383.327383
+X_1,Core 0 state,-1463427459.8175542,913195271.2072272,2376622731.024781
+X_2,Core 1 state,-1262295675.048803,1112034762.5120502,2374330437.560853
+X_0,frequency level of Little Socket,-464079570.45148593,463475167.59674156,927554738.0482275
+X_5,frequency level of Big Socket,236312365.468121,39041058.975076854,197271306.49304414

kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_samsung_0.92_base_Y/.~lock.d_X_5_linear_coefficients.csv#

+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,07.09.2022 20:10,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
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