bidirectional.py 文件源码

def _load_data(self):
        """
        Load data only if the present data is not checkpointed, else, just load the checkpointed data

        :return: None
        """
        self.mapper = Mapper()
        self.mapper.generate_vocabulary(self.review_summary_file)
        self.X_fwd, self.X_bwd, self.Y = self.mapper.get_tensor(reverseflag=True)
        # Store all the mapper values in a dict for later recovery
        self.mapper_dict = dict()
        self.mapper_dict['seq_length'] = self.mapper.get_seq_length()
        self.mapper_dict['vocab_size'] = self.mapper.get_vocabulary_size()
        self.mapper_dict['rev_map'] = self.mapper.get_reverse_map()
        # Split into test and train data
        self._split_train_tst()