From 258ada8c7e5025f984b03343596557abe8d3f5a4 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Tue, 15 Nov 2022 08:34:00 -0500
Subject: [PATCH] Expes th"

---
 .../monoview_classifiers/adaboost_graalpy.py               | 1 +
 .../monoview_classifiers/adaboost_pregen.py                | 2 +-
 .../monoview_classifiers/additions/CBBoostUtils.py         | 4 ++--
 .../multiview_platform/monoview_classifiers/bagged_spkm.py | 1 +
 summit/multiview_platform/monoview_classifiers/bagging.py  | 1 +
 .../monoview_classifiers/bagging_pregen.py                 | 1 +
 summit/multiview_platform/monoview_classifiers/cb_boost.py | 7 +++++--
 .../monoview_classifiers/cb_gradient_boost.py              | 1 +
 summit/multiview_platform/monoview_classifiers/cg_desc.py  | 1 +
 summit/multiview_platform/monoview_classifiers/cq_boost.py | 1 +
 .../monoview_classifiers/decision_tree_pregen.py           | 1 +
 .../monoview_classifiers/gradient_boosting_pregen.py       | 1 +
 .../monoview_classifiers/hm_gb_cbound.py                   | 1 +
 .../monoview_classifiers/ib_random_forest.py               | 1 +
 .../monoview_classifiers/ib_random_scm.py                  | 1 +
 summit/multiview_platform/monoview_classifiers/ib_scm.py   | 1 +
 .../monoview_classifiers/imbalance_bagging.py              | 1 +
 summit/multiview_platform/monoview_classifiers/knn.py      | 1 +
 summit/multiview_platform/monoview_classifiers/min_cq.py   | 1 +
 .../monoview_classifiers/min_cq_graalpy.py                 | 1 +
 .../monoview_classifiers/pregen_gradient_boost.py          | 5 +++--
 .../monoview_classifiers/random_forest_pregen.py           | 1 +
 .../multiview_platform/monoview_classifiers/scm_mazid.py   | 1 +
 .../multiview_platform/monoview_classifiers/scm_pregen.py  | 1 +
 .../multiview_platform/monoview_classifiers/self_opt_cb.py | 1 +
 .../monoview_classifiers/self_opt_cb_pseudo.py             | 1 +
 .../monoview_classifiers/self_opt_cb_root.py               | 1 +
 summit/multiview_platform/monoview_classifiers/sgd.py      | 1 +
 summit/multiview_platform/monoview_classifiers/spkm.py     | 1 +
 .../multiview_platform/monoview_classifiers/svm_linear.py  | 2 +-
 summit/multiview_platform/monoview_classifiers/svm_poly.py | 2 +-
 summit/multiview_platform/multiview/multiview_utils.py     | 4 +++-
 32 files changed, 41 insertions(+), 10 deletions(-)

diff --git a/summit/multiview_platform/monoview_classifiers/adaboost_graalpy.py b/summit/multiview_platform/monoview_classifiers/adaboost_graalpy.py
index 6cf2425b..bca4883e 100644
--- a/summit/multiview_platform/monoview_classifiers/adaboost_graalpy.py
+++ b/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.
diff --git a/summit/multiview_platform/monoview_classifiers/adaboost_pregen.py b/summit/multiview_platform/monoview_classifiers/adaboost_pregen.py
index 43589981..5b32fed3 100644
--- a/summit/multiview_platform/monoview_classifiers/adaboost_pregen.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py b/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py
index 8d473e08..5b700216 100644
--- a/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py
+++ b/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)
diff --git a/summit/multiview_platform/monoview_classifiers/bagged_spkm.py b/summit/multiview_platform/monoview_classifiers/bagged_spkm.py
index 1a74f064..ebf32547 100644
--- a/summit/multiview_platform/monoview_classifiers/bagged_spkm.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/bagging.py b/summit/multiview_platform/monoview_classifiers/bagging.py
index 56c51b77..0a89ace2 100644
--- a/summit/multiview_platform/monoview_classifiers/bagging.py
+++ b/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,):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/bagging_pregen.py b/summit/multiview_platform/monoview_classifiers/bagging_pregen.py
index f4c7c1a6..4edebd45 100644
--- a/summit/multiview_platform/monoview_classifiers/bagging_pregen.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/cb_boost.py b/summit/multiview_platform/monoview_classifiers/cb_boost.py
index bd91c954..56e980cb 100644
--- a/summit/multiview_platform/monoview_classifiers/cb_boost.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/cb_gradient_boost.py b/summit/multiview_platform/monoview_classifiers/cb_gradient_boost.py
index b9c1c71f..9020de7c 100644
--- a/summit/multiview_platform/monoview_classifiers/cb_gradient_boost.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/cg_desc.py b/summit/multiview_platform/monoview_classifiers/cg_desc.py
index a42547fc..ca04a97d 100644
--- a/summit/multiview_platform/monoview_classifiers/cg_desc.py
+++ b/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):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/cq_boost.py b/summit/multiview_platform/monoview_classifiers/cq_boost.py
index 202829eb..d454b991 100644
--- a/summit/multiview_platform/monoview_classifiers/cq_boost.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/decision_tree_pregen.py b/summit/multiview_platform/monoview_classifiers/decision_tree_pregen.py
index bbcb76f2..96b0aaa1 100644
--- a/summit/multiview_platform/monoview_classifiers/decision_tree_pregen.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/gradient_boosting_pregen.py b/summit/multiview_platform/monoview_classifiers/gradient_boosting_pregen.py
index 1b302cc1..0ac5d519 100644
--- a/summit/multiview_platform/monoview_classifiers/gradient_boosting_pregen.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/hm_gb_cbound.py b/summit/multiview_platform/monoview_classifiers/hm_gb_cbound.py
index cc1f1e11..24ee1097 100644
--- a/summit/multiview_platform/monoview_classifiers/hm_gb_cbound.py
+++ b/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):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/ib_random_forest.py b/summit/multiview_platform/monoview_classifiers/ib_random_forest.py
index 2a96fa95..7f4517a1 100644
--- a/summit/multiview_platform/monoview_classifiers/ib_random_forest.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/ib_random_scm.py b/summit/multiview_platform/monoview_classifiers/ib_random_scm.py
index f6a2e6e9..11bd34b6 100644
--- a/summit/multiview_platform/monoview_classifiers/ib_random_scm.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/ib_scm.py b/summit/multiview_platform/monoview_classifiers/ib_scm.py
index aadbae57..d7e38613 100644
--- a/summit/multiview_platform/monoview_classifiers/ib_scm.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/imbalance_bagging.py b/summit/multiview_platform/monoview_classifiers/imbalance_bagging.py
index 525b52aa..f0b34878 100644
--- a/summit/multiview_platform/monoview_classifiers/imbalance_bagging.py
+++ b/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):
 
diff --git a/summit/multiview_platform/monoview_classifiers/knn.py b/summit/multiview_platform/monoview_classifiers/knn.py
index c23d4d3f..0281e4fc 100644
--- a/summit/multiview_platform/monoview_classifiers/knn.py
+++ b/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):
diff --git a/summit/multiview_platform/monoview_classifiers/min_cq.py b/summit/multiview_platform/monoview_classifiers/min_cq.py
index dfc294af..23298f1c 100644
--- a/summit/multiview_platform/monoview_classifiers/min_cq.py
+++ b/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
diff --git a/summit/multiview_platform/monoview_classifiers/min_cq_graalpy.py b/summit/multiview_platform/monoview_classifiers/min_cq_graalpy.py
index 6d1ea085..9c39e5ee 100644
--- a/summit/multiview_platform/monoview_classifiers/min_cq_graalpy.py
+++ b/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):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/pregen_gradient_boost.py b/summit/multiview_platform/monoview_classifiers/pregen_gradient_boost.py
index f9de6c81..3d11cea8 100644
--- a/summit/multiview_platform/monoview_classifiers/pregen_gradient_boost.py
+++ b/summit/multiview_platform/monoview_classifiers/pregen_gradient_boost.py
@@ -17,6 +17,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "PGradientBoosting"
+proto=True
 
 
 class CustomDecisionTreeGB(DecisionTreeClassifier):
@@ -59,11 +60,11 @@ class PGradientBoosting(GradientBoostingClassifier, BaseMonoviewClassifier, Base
     def pregen_voters(self, X, y=None, generator="Stumps"):
         if y is not None:
             neg_y = change_label_to_minus(y)
-            if generator is "Stumps":
+            if generator == "Stumps":
                 self.estimators_generator = StumpsClassifiersGenerator(
                     n_stumps_per_attribute=self.n_stumps,
                     self_complemented=self.self_complemented)
-            elif generator is "Trees":
+            elif generator == "Trees":
                 self.estimators_generator = TreeClassifiersGenerator(
                     n_trees=self.n_stumps, max_depth=self.max_depth_pregen)
             self.estimators_generator.fit(X, neg_y)
diff --git a/summit/multiview_platform/monoview_classifiers/random_forest_pregen.py b/summit/multiview_platform/monoview_classifiers/random_forest_pregen.py
index fe54b17a..31795606 100644
--- a/summit/multiview_platform/monoview_classifiers/random_forest_pregen.py
+++ b/summit/multiview_platform/monoview_classifiers/random_forest_pregen.py
@@ -17,6 +17,7 @@ __status__ = "Prototype"  # Production, Development, Prototype
 
 
 classifier_class_name = "RandomForestPregen"
+proto=True
 
 class RandomForestPregen(RandomForestClassifier, BaseMonoviewClassifier,
                     PregenClassifier):
diff --git a/summit/multiview_platform/monoview_classifiers/scm_mazid.py b/summit/multiview_platform/monoview_classifiers/scm_mazid.py
index 023e92a3..f25d6e01 100644
--- a/summit/multiview_platform/monoview_classifiers/scm_mazid.py
+++ b/summit/multiview_platform/monoview_classifiers/scm_mazid.py
@@ -9,6 +9,7 @@ from ..monoview.monoview_utils import BaseMonoviewClassifier
 from ..utils.hyper_parameter_search import CustomUniform, CustomRandint
 
 classifier_class_name = 'DecisionStumpSCMNew'
+proto=True
 
 class DecisionStumpSCMNew(BaseMonoviewClassifier):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/scm_pregen.py b/summit/multiview_platform/monoview_classifiers/scm_pregen.py
index 939661ce..dd2c8d50 100644
--- a/summit/multiview_platform/monoview_classifiers/scm_pregen.py
+++ b/summit/multiview_platform/monoview_classifiers/scm_pregen.py
@@ -12,6 +12,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "SCMPregen"
+proto=True
 
 class SCMPregen(BaseMonoviewClassifier, PregenClassifier, scm):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/self_opt_cb.py b/summit/multiview_platform/monoview_classifiers/self_opt_cb.py
index 711e2629..aea3b0a8 100644
--- a/summit/multiview_platform/monoview_classifiers/self_opt_cb.py
+++ b/summit/multiview_platform/monoview_classifiers/self_opt_cb.py
@@ -1,6 +1,7 @@
 from .additions.SelOptCB import SelfOptCBBoostClassifier
 
 classifier_class_name = "SelfOptCBBoostBaseStump"
+proto=True
 
 class SelfOptCBBoostBaseStump(SelfOptCBBoostClassifier):
     def __init__(self, n_max_iterations=10, random_state=42, twice_the_same=True,
diff --git a/summit/multiview_platform/monoview_classifiers/self_opt_cb_pseudo.py b/summit/multiview_platform/monoview_classifiers/self_opt_cb_pseudo.py
index 18f028c8..80913fc1 100644
--- a/summit/multiview_platform/monoview_classifiers/self_opt_cb_pseudo.py
+++ b/summit/multiview_platform/monoview_classifiers/self_opt_cb_pseudo.py
@@ -1,6 +1,7 @@
 from .additions.SelOptCB import SelfOptCBBoostClassifier
 
 classifier_class_name = "SelfOptCBBoostBaseStump"
+proto=True
 
 class SelfOptCBBoostBaseStump(SelfOptCBBoostClassifier):
     def __init__(self, n_max_iterations=10, random_state=42, twice_the_same=True,
diff --git a/summit/multiview_platform/monoview_classifiers/self_opt_cb_root.py b/summit/multiview_platform/monoview_classifiers/self_opt_cb_root.py
index d7f671f0..385f3656 100644
--- a/summit/multiview_platform/monoview_classifiers/self_opt_cb_root.py
+++ b/summit/multiview_platform/monoview_classifiers/self_opt_cb_root.py
@@ -1,6 +1,7 @@
 from .additions.SelOptCB import SelfOptCBBoostClassifier
 
 classifier_class_name = "SelfOptCBBoostBaseStump"
+proto=True
 
 class SelfOptCBBoostBaseStump(SelfOptCBBoostClassifier):
     def __init__(self, n_max_iterations=10, random_state=42, twice_the_same=True,
diff --git a/summit/multiview_platform/monoview_classifiers/sgd.py b/summit/multiview_platform/monoview_classifiers/sgd.py
index 312a2bf2..18314c06 100644
--- a/summit/multiview_platform/monoview_classifiers/sgd.py
+++ b/summit/multiview_platform/monoview_classifiers/sgd.py
@@ -8,6 +8,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "SGD"
+proto=True
 
 
 class SGD(SGDClassifier, BaseMonoviewClassifier):
diff --git a/summit/multiview_platform/monoview_classifiers/spkm.py b/summit/multiview_platform/monoview_classifiers/spkm.py
index 4c9aeebd..7c6f4c7c 100644
--- a/summit/multiview_platform/monoview_classifiers/spkm.py
+++ b/summit/multiview_platform/monoview_classifiers/spkm.py
@@ -9,6 +9,7 @@ from ..utils.hyper_parameter_search import CustomRandint
 from ..utils.dataset import get_samples_views_indices
 
 classifier_class_name = "SPKM"
+proto=True
 
 class SPKM(BaseMonoviewClassifier, SPKMlikeSklearn):
 
diff --git a/summit/multiview_platform/monoview_classifiers/svm_linear.py b/summit/multiview_platform/monoview_classifiers/svm_linear.py
index e6f7fb1e..48e4d17b 100644
--- a/summit/multiview_platform/monoview_classifiers/svm_linear.py
+++ b/summit/multiview_platform/monoview_classifiers/svm_linear.py
@@ -8,7 +8,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "SVMLinear"
-
+proto=True
 
 class SVMLinear(SVCClassifier, BaseMonoviewClassifier):
     """
diff --git a/summit/multiview_platform/monoview_classifiers/svm_poly.py b/summit/multiview_platform/monoview_classifiers/svm_poly.py
index c1c9da6e..7d950e94 100644
--- a/summit/multiview_platform/monoview_classifiers/svm_poly.py
+++ b/summit/multiview_platform/monoview_classifiers/svm_poly.py
@@ -11,7 +11,7 @@ __author__ = "Baptiste Bauvin"
 __status__ = "Prototype"  # Production, Development, Prototype
 
 classifier_class_name = "SVMPoly"
-
+proto=True
 
 class SVMPoly(SVCClassifier, BaseMonoviewClassifier):
     """
diff --git a/summit/multiview_platform/multiview/multiview_utils.py b/summit/multiview_platform/multiview/multiview_utils.py
index 93a56639..19fb7ee8 100644
--- a/summit/multiview_platform/multiview/multiview_utils.py
+++ b/summit/multiview_platform/multiview/multiview_utils.py
@@ -140,7 +140,9 @@ def get_available_monoview_classifiers(need_probas=False):
     available_classifiers = [module_name
                              for module_name in dir(monoview_classifiers)
                              if not (
-                                 module_name.startswith("__") or module_name == "additions")]
+                                 module_name.startswith("__") or
+                                 module_name == "additions" or
+                                 hasattr(getattr(monoview_classifiers, module_name), "proto"))]
     if need_probas:
         proba_classifiers = []
         for module_name in available_classifiers:
-- 
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