MNT synchronize boosting algorithm (#642)

Author: glemaitre

imblearn/ensemble/_bagging.py

@@ -87,6 +87,9 @@ class BalancedBaggingClassifier(BaggingClassifier):
     base_estimator_ : estimator
         The base estimator from which the ensemble is grown.
 
+    n_features_ : int
+        The number of features when `fit` is performed.
+
     estimators_ : list of estimators
         The collection of fitted base estimators.
 

imblearn/ensemble/_weight_boosting.py

@@ -59,6 +59,9 @@ class RUSBoostClassifier(AdaBoostClassifier):
 
     Attributes
     ----------
+    base_estimator_ : estimator
+        The base estimator from which the ensemble is grown.
+
     estimators_ : list of classifiers
         The collection of fitted sub-estimators.
 
@@ -325,7 +328,7 @@ def _boost_discrete(self, iboost, X, y, sample_weight, random_state):
             sample_weight *= np.exp(
                 estimator_weight
                 * incorrect
-                * ((sample_weight > 0) | (estimator_weight < 0))
+                * (sample_weight > 0)
             )
 
         return sample_weight, estimator_weight, estimator_error