baseboosting estim in mumbo

multiview_platform/mono_multi_view_classifiers/multiview_classifiers/additions/late_fusion_utils.py

@@ -151,7 +151,7 @@ class LateFusionClassifier(BaseMultiviewClassifier, BaseFusionClassifier):
                 {classifier_name: self.classifier_configs[classifier_name]} for
                 classifier_name in self.classifiers_names]
         elif self.classifier_configs is None:
-            self.classifier_configs = [None for _ in range(nb_clfs)]
+            self.classifier_configs = [{} for _ in range(nb_clfs)]
 
     # def verif_clf_views(self, classifier_names, nb_view):
     #     if classifier_names is None:

multiview_platform/mono_multi_view_classifiers/multiview_classifiers/mumbo.py

@@ -5,6 +5,7 @@ from multimodal.boosting.mumbo import MumboClassifier
 from ..multiview.multiview_utils import BaseMultiviewClassifier
 from ..utils.hyper_parameter_search import CustomRandint
 from ..utils.dataset import get_examples_views_indices
+from ..utils.base import base_boosting_estimators
 
 classifier_class_name = "Mumbo"
 
@@ -20,10 +21,7 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
                                     random_state=random_state,
                                     best_view_mode=best_view_mode)
         self.param_names = ["base_estimator", "n_estimators", "random_state", "best_view_mode"]
-        self.distribs = [[DecisionTreeClassifier(max_depth=1),
-                          DecisionTreeClassifier(max_depth=2),
-                          DecisionTreeClassifier(max_depth=3),
-                          DecisionTreeClassifier(max_depth=4)],
+        self.distribs = [base_boosting_estimators,
                          CustomRandint(5,200), [random_state], ["edge", "error"]]
 
     def fit(self, X, y, train_indices=None, view_indices=None):