Try print statement to get rid of doc failures

vighneshbirodkar · vighneshbirodkar · commit bad51be7d52c · 2016-04-15T15:44:46.000-04:00
diff --git a/sklearn/preprocessing/data.py b/sklearn/preprocessing/data.py
@@ -1742,8 +1742,8 @@ class OneHotEncoder(BaseEstimator, TransformerMixin):
     >>> enc.fit([['cat', 4], ['mouse', 15], ['dog', 17]]) # doctest: +ELLIPSIS
     OneHotEncoder(categorical_features='all', dtype=<... 'numpy.float64'>,
            handle_unknown='error', n_values=None, sparse=True, values='auto')
-    >>> enc.label_encoders_[0].classes_
-    array(['cat', 'dog', 'mouse'], dtype=object)
+    >>> print(enc.label_encoders_[0].classes_)
+    ['cat' 'dog' 'mouse']
     >>> enc.transform([['dog', 4]]).toarray()
     array([[ 0.,  1.,  0.,  1.,  0.,  0.]])
 
