From 9871e523ba5c9e4b840197737f9bf7dc54c329b3 Mon Sep 17 00:00:00 2001
From: Fize Jacques <jacques.fize@cirad.fr>
Date: Thu, 22 Apr 2021 16:22:20 +0200
Subject: [PATCH] remove some prints
---
lib/erosion_model.py | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/lib/erosion_model.py b/lib/erosion_model.py
index 152ebaf..935737a 100644
--- a/lib/erosion_model.py
+++ b/lib/erosion_model.py
@@ -15,7 +15,7 @@ import networkx as nx
import numpy as np
float_epsilon = np.finfo(float).eps
-VERBOSE = True
+VERBOSE = False
def log(x):
if VERBOSE:
print(x)
@@ -43,7 +43,6 @@ class ErosionModel():
old_probs = dict(self.probs_df["hash_ p_{0}".format(self.nb_of_erosion - 1).split()].values)
auc_sbm, auc_spatial = get_auc_heuristics(self.H, 60)
- print(auc_spatial,auc_sbm)
edges = get_all_possible_edges(self.H)
if auc_sbm > auc_spatial:
probs = stochastic_block_model(self.H, edges)
@@ -65,7 +64,6 @@ class ErosionModel():
[(1 / self.H.size()) - ((probs_dom[ix]*sum_prob_dom)/sum_prob_dom_H) for ix, ed in enumerate(edges) if self.H.has_edge(*ed)])
hhh[hhh < 0] = 0
new_nb_edges = hhh.sum() * self.H.size()
- #print(hhh)
probs_erosion = np.asarray([old_probs[hash_func(ed)] - probs_dom[ix] for ix, ed in enumerate(edges)])
probs_erosion[probs_erosion <= 0] = float_epsilon
--
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