Update mucombo

summit/multiview_platform/multiview_classifiers/mucombo.py

 from sklearn.tree import DecisionTreeClassifier
 
 
-from multimodal.boosting.cumbo import MuCumboClassifier
+from multimodal.boosting.combo import MuComboClassifier
 from ..multiview.multiview_utils import BaseMultiviewClassifier
 from ..utils.hyper_parameter_search import CustomRandint
 from ..utils.dataset import get_samples_views_indices
@@ -10,14 +10,14 @@ from ..utils.base import base_boosting_estimators
 classifier_class_name = "MuCumbo"
 
 
-class MuCumbo(BaseMultiviewClassifier, MuCumboClassifier):
+class MuCumbo(BaseMultiviewClassifier, MuComboClassifier):
 
     def __init__(self, base_estimator=None,
                  n_estimators=50,
                  random_state=None,**kwargs):
         BaseMultiviewClassifier.__init__(self, random_state)
         base_estimator = self.set_base_estim_from_dict(base_estimator, **kwargs)
-        MuCumboClassifier.__init__(self, base_estimator=base_estimator,
+        MuComboClassifier.__init__(self, base_estimator=base_estimator,
                                     n_estimators=n_estimators,
                                     random_state=random_state,)
         self.param_names = ["base_estimator", "n_estimators", "random_state",]
@@ -31,7 +31,7 @@ class MuCumbo(BaseMultiviewClassifier, MuCumboClassifier):
         self.used_views = view_indices
         numpy_X, view_limits = X.to_numpy_array(sample_indices=train_indices,
                                                 view_indices=view_indices)
-        return MuCumboClassifier.fit(self, numpy_X, y[train_indices],
+        return MuComboClassifier.fit(self, numpy_X, y[train_indices],
                                                 view_limits)
 
     def predict(self, X, sample_indices=None, view_indices=None):
@@ -41,7 +41,7 @@ class MuCumbo(BaseMultiviewClassifier, MuCumboClassifier):
         self._check_views(view_indices)
         numpy_X, view_limits = X.to_numpy_array(sample_indices=sample_indices,
                                                 view_indices=view_indices)
-        return MuCumboClassifier.predict(self, numpy_X)
+        return MuComboClassifier.predict(self, numpy_X)
 
     def get_interpretation(self, directory, base_file_name, labels,
                            multiclass=False):