CanProbas

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/cb_boost.py

@@ -26,7 +26,7 @@ class CBBoost(CBBoostClassifier, BaseMonoviewClassifier):
 
     def canProbas(self):
         """Used to know if the classifier can return label probabilities"""
-        return True
+        return False
 
     def getInterpret(self, directory, y_test):
         return self.getInterpretCBBoost(directory, y_test)

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/cg_desc.py

@@ -32,7 +32,7 @@ class CGDesc(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
 
     def canProbas(self):
         """Used to know if the classifier can return label probabilities"""
-        return True
+        return False
 
     def getInterpret(self, directory, y_test):
         return self.getInterpretQar(directory, y_test)

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/cq_boost.py

@@ -37,7 +37,7 @@ class CQBoost(ColumnGenerationClassifier, BaseMonoviewClassifier):
 
     def canProbas(self):
         """Used to know if the classifier can return label probabilities"""
-        return True
+        return False
 
     def getInterpret(self, directory, y_test):
         np.savetxt(directory + "train_metrics.csv", self.train_metrics,

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/decision_tree_pregen.py

@@ -61,7 +61,7 @@ class DecisionTreePregen(DecisionTreeClassifier, BaseMonoviewClassifier,
 
     def canProbas(self):
         """Used to know if the classifier can return label probabilities"""
-        return True
+        return False
 
     def getInterpret(self, directory, y_test):
         interpretString = ""

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/gradient_boosting.py

@@ -71,7 +71,7 @@ class GradientBoosting(GradientBoostingClassifier, BaseMonoviewClassifier):
 
     def canProbas(self):
         """Used to know if the classifier can return label probabilities"""
-        return True
+        return False
 
     def getInterpret(self, directory, y_test):
         interpretString = ""