Expes th"

summit/multiview_platform/monoview_classifiers/adaboost_graalpy.py

@@ -11,6 +11,7 @@ from ..monoview.monoview_utils import CustomRandint, \
     BaseMonoviewClassifier, change_label_to_minus, change_label_to_zero
 
 classifier_class_name = "AdaboostGraalpy"
+proto=True
 
 class AdaBoostGP(BaseEstimator, ClassifierMixin, BaseBoost):
     """Scikit-Learn compatible AdaBoost classifier. Original code by Pascal Germain, adapted by Jean-Francis Roy.

summit/multiview_platform/monoview_classifiers/adaboost_pregen.py

@@ -16,7 +16,7 @@ __status__ = "Prototype"  # Production, Development, Prototype
 
 
 classifier_class_name = "AdaboostPregen"
-
+proto=True
 
 class AdaboostPregen(AdaBoostClassifier, BaseMonoviewClassifier,
                      PregenClassifier):

summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py

@@ -316,11 +316,11 @@ class CBBoostClassifier(BaseEstimator, ClassifierMixin, BaseBoost):
 
     def init_hypotheses(self, X, y):
         """Inintialization for the hyptotheses used to build the boosted vote"""
-        if self.estimators_generator is "Stumps":
+        if self.estimators_generator == "Stumps":
             self.estimators_generator = StumpsClassifiersGenerator(
                 n_stumps_per_attribute=self.n_stumps,
                 self_complemented=self.self_complemented)
-        if self.estimators_generator is "Trees":
+        if self.estimators_generator == "Trees":
             self.estimators_generator = TreeClassifiersGenerator(
                 n_trees=self.n_stumps, max_depth=self.max_depth,
                 self_complemented=self.self_complemented)

summit/multiview_platform/monoview_classifiers/bagged_spkm.py

@@ -11,6 +11,7 @@ from ..utils.hyper_parameter_search import CustomRandint
 from ..monoview_classifiers.spkm import SPKM
 
 classifier_class_name = "BaggedSPKM"
+proto=True
 
 class BaggedSPKM(BaseMonoviewClassifier, SPKMlikeSklearn):
 

summit/multiview_platform/monoview_classifiers/bagging.py

@@ -16,6 +16,7 @@ __status__ = "Prototype"  # Production, Development, Prototype
 
 
 classifier_class_name = "Bagging"
+proto=True
 
 class Bagging(BaggingClassifier, BaseMonoviewClassifier,):
     """

summit/multiview_platform/monoview_classifiers/bagging_pregen.py

@@ -16,6 +16,7 @@ __status__ = "Prototype"  # Production, Development, Prototype
 
 
 classifier_class_name = "BaggingPregen"
+proto=True
 
 class BaggingPregen(BaggingClassifier, BaseMonoviewClassifier,
                      PregenClassifier):

summit/multiview_platform/monoview_classifiers/cb_boost.py

@@ -77,8 +77,11 @@ class CBBoost(CBBoostClassifier, BaseMonoviewClassifier):
         -------
 
         """
-        interpret_string = self.getInterpretCBBoost(directory, base_file_name, y_test)
-        interpret_string += self.get_feature_importance(directory, base_file_name)
+        interpret_string = self.getInterpretCBBoost(directory, base_file_name,
+                                                    y_test)
+        interpret_string += self.get_feature_importance(directory,
+                                                        base_file_name,
+                                                        feature_ids)
         return interpret_string
 
     def get_name_for_fusion(self):

summit/multiview_platform/monoview_classifiers/cb_gradient_boost.py

@@ -23,6 +23,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "CBGradientBoosting"
+proto=True
 
 
 class CustomDecisionTreeGB(DecisionTreeClassifier):

summit/multiview_platform/monoview_classifiers/cg_desc.py

@@ -3,6 +3,7 @@ from ..monoview.monoview_utils import BaseMonoviewClassifier, CustomRandint
 
 
 classifier_class_name = "CGDesc"
+proto=True
 
 class CGDesc(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
     """

summit/multiview_platform/monoview_classifiers/cq_boost.py

@@ -6,6 +6,7 @@ from ..monoview.monoview_utils import BaseMonoviewClassifier
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "CQBoost"
+proto=True
 
 class CQBoost(ColumnGenerationClassifier, BaseMonoviewClassifier):
 

summit/multiview_platform/monoview_classifiers/decision_tree_pregen.py

@@ -12,6 +12,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "DecisionTreePregen"
+proto=True
 
 class DecisionTreePregen(DecisionTreeClassifier, BaseMonoviewClassifier,
                          PregenClassifier):

summit/multiview_platform/monoview_classifiers/gradient_boosting_pregen.py

@@ -17,6 +17,7 @@ __status__ = "Prototype"  # Production, Development, Prototype
 
 
 classifier_class_name = "GradientBoostingPregen"
+proto=True
 
 class GradientBoostingPregen(GradientBoostingClassifier, BaseMonoviewClassifier,
                          PregenClassifier):

summit/multiview_platform/monoview_classifiers/hm_gb_cbound.py

@@ -7,6 +7,7 @@ import numpy.ma as ma
 import math
 
 classifier_class_name = "CBBoostGradientBoosting"
+proto=True
 
 class CBBoostGradientBoosting(CBBoostClassifier, BaseMonoviewClassifier):
     """

summit/multiview_platform/monoview_classifiers/ib_random_forest.py

@@ -8,6 +8,7 @@ from ..utils.base import base_boosting_estimators
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "IBRF"
+proto=True
 
 class IBRF(BaseMonoviewClassifier, BalancedBaggingClassifier):
 

summit/multiview_platform/monoview_classifiers/ib_random_scm.py

@@ -8,6 +8,7 @@ from ..utils.base import base_boosting_estimators
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "IBRSCM"
+proto=True
 
 class IBRSCM(BaseMonoviewClassifier, BalancedBaggingClassifier):
 

summit/multiview_platform/monoview_classifiers/ib_scm.py

@@ -7,6 +7,7 @@ from ..utils.base import base_boosting_estimators
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "IBSCM"
+proto=True
 
 class IBSCM(BaseMonoviewClassifier, BalancedBaggingClassifier):
 

summit/multiview_platform/monoview_classifiers/imbalance_bagging.py

@@ -7,6 +7,7 @@ from ..utils.base import base_boosting_estimators
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "ImbalanceBagging"
+proto=True
 
 class ImbalanceBagging(BaseMonoviewClassifier, BalancedBaggingClassifier):
 

summit/multiview_platform/monoview_classifiers/knn.py

@@ -8,6 +8,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "KNN"
+proto=True
 
 
 class KNN(KNeighborsClassifier, BaseMonoviewClassifier):

summit/multiview_platform/monoview_classifiers/min_cq.py

@@ -23,6 +23,7 @@ from .additions.BoostUtils import ConvexProgram as QP
 
 
 classifier_class_name = "MinCQ"
+proto=True
 
 # from majority_vote import MajorityVote
 # from voter import StumpsVotersGenerator, KernelVotersGenerator

summit/multiview_platform/monoview_classifiers/min_cq_graalpy.py

@@ -6,6 +6,7 @@ from ..monoview.monoview_utils import BaseMonoviewClassifier
 from ..utils.hyper_parameter_search import CustomRandint, CustomUniform
 
 classifier_class_name = "MinCQGraalpy"
+proto=True
 
 class MinCQGraalpy(RegularizedBinaryMinCqClassifier, BaseMonoviewClassifier):
     """