fix lint

Author: sarahmish

mlstars/adapters/sklearn.py

@@ -2,22 +2,24 @@
 
 from sklearn.preprocessing import MinMaxScaler
 
+
 class Scaler(MinMaxScaler):
     """sklearn.preprocessing.MinMaxScaler adapter.
 
     Convert feature_range into a tuple.
 
     Args:
-        feature_range (list): 
+        feature_range (list):
             List of two elements. Desired range of transformed data.
 
-        copy (bool): 
+        copy (bool):
             Set to False to perform inplace row normalization and avoid a copy.
     """
+
     def __init__(self, feature_range=(0, 1), copy=True):
         feature_range = tuple(feature_range)
-        
+
         super(Scaler, self).__init__(
             feature_range=feature_range,
             copy=copy
-        )
+        )