original_docstring:  Simply adding the new data to the old one an retraining 
docstring: Simply adding the new data to the old one an retraining
docstring_tokens: Simply adding the new data to the old one an retraining
code: def _batch_retrain(self,data_list, label_list):
          """ Simply adding the new data to the old one an retraining """
          for i in range(label_list):
              self._train(data_list[i], label_list[i])
          # # retraining is now performed in the train method, since method
          # # needs to be retrainable to call _batch_retrain
          # self.stop_training()
code_tokens: def _batch_retrain ( self , data_list , label_list ) : for i in range ( label_list ) : self . _train ( data_list [ i ] , label_list [ i ] )
short_docstring: Simply adding the new data to the old one an retraining
short_docstring_tokens: Simply adding the new data to the old one an retraining
comment: """ Simply adding the new data to the old one an retraining """$SEP$# # retraining is now performed in the train method, since method$SEP$# # needs to be retrainable to call _batch_retrain$SEP$# self.stop_training()