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