FIX LabelEncoder to correctly handle string labels

raghavrv · raghavrv · commit 7a5439201575 · 2015-11-18T15:14:56.000+01:00
diff --git a/sklearn/linear_model/logistic.py b/sklearn/linear_model/logistic.py
@@ -1,4 +1,3 @@
-
 """
 Logistic Regression
 """
@@ -1525,8 +1524,7 @@ def fit(self, X, y, sample_weight=None):
         cv = check_cv(self.cv, y, classifier=True)
         folds = list(cv.split(X, y))
 
-        self._enc = LabelEncoder()
-        self._enc.fit(y)
+        y = LabelEncoder().fit_transform(y)
 
         labels = self.classes_ = np.unique(y)
         n_classes = len(labels)
