imbalanced-learn: AttributeError: 'DataFrame' object has no attribute 'name'

AttributeError                            Traceback (most recent call last)
<ipython-input-32-8d38637b6cc6> in <module>
      6 
      7 oversampler=SMOTE(random_state=42)
----> 8 smote_train, smote_target = oversampler.fit_resample(X,y)
      9 
     10 print("Before OverSampling, counts of label '0', '1':", smote_target['label'].value_counts())

~\Anaconda3\lib\site-packages\imblearn\base.py in fit_resample(self, X, y)
     73         """
     74         check_classification_targets(y)
---> 75         X, y, binarize_y = self._check_X_y(X, y)
     76 
     77         self.sampling_strategy_ = check_sampling_strategy(

~\Anaconda3\lib\site-packages\imblearn\base.py in _check_X_y(self, X, y, accept_sparse)
    148         if hasattr(y, "loc"):
    149             # store information to build a series
--> 150             self._y_name = y.name
    151             self._y_dtype = y.dtype
    152         else:

~\Anaconda3\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
   5065             if self._info_axis._can_hold_identifiers_and_holds_name(name):
   5066                 return self[name]
-> 5067             return object.__getattribute__(self, name)
   5068 
   5069     def __setattr__(self, name, value):

AttributeError: 'DataFrame' object has no attribute 'name'