Make Travis happy again

Author: chkoar

imblearn/ensemble/easy_ensemble_generalization.py

@@ -21,7 +21,7 @@
 from ..under_sampling import RandomUnderSampler
 
 
-class _EasyEnsembleGeneralization(ClassifierMixin, BaseEnsemble):
+class EasyEnsembleGeneralization(ClassifierMixin, BaseEnsemble):
 
     """This classifier generalize the Easy Ensemble algorithm for imbalanced 
        datasets.
@@ -95,7 +95,7 @@ def __init__(self,
 
     def _validate_estimator(self):
         """Check the estimator and set the base_estimator_ attribute."""
-        super(_EasyEnsembleGeneralization, self)._validate_estimator(
+        super(EasyEnsembleGeneralization, self)._validate_estimator(
             default=DecisionTreeClassifier())
 
     def _validate_sampler(self):
@@ -199,10 +199,3 @@ def predict_proba(self, X):
         """
         check_is_fitted(self, "_voting")
         return self._voting.predict_proba(X)
-
-
-# XXX  make EasyEnsembleGeneralization to pass sklearn compatibility test
-bases = _EasyEnsembleGeneralization.__mro__
-bases = tuple(x for x in bases if x != MetaEstimatorMixin)
-EasyEnsembleGeneralization = type(
-    'EasyEnsembleGeneralization', bases, dict(_EasyEnsembleGeneralization.__dict__))