(self, time_steps, path, tokenizer=None,
                 onehot_input=False, get_prev_target=False, split=None,
                 dataset='un2000', subset_pct=100)
Load French and English sentence data from file.
Load French and English sentence data from file.
Load French and English sentence data from file .
def __init__(self, time_steps, path, tokenizer=None,
                 onehot_input=False, get_prev_target=False, split=None,
                 dataset='un2000', subset_pct=100):
        """
        Load French and English sentence data from file.
        """
        assert dataset in ('europarl7', 'un2000'), "invalid dataset"
        processed_file = os.path.join(path, dataset + '-' + split + '.h5')
        assert os.path.exists(processed_file), "Dataset at '" + processed_file + "' not found"
        self.subset_pct = subset_pct

        super(TextNMT, self).__init__(time_steps, processed_file, vocab=None, tokenizer=tokenizer,
                                      onehot_input=onehot_input, get_prev_target=get_prev_target,
                                      reverse_target=True)
def __init__ ( self , time_steps , path , tokenizer = None , onehot_input = False , get_prev_target = False , split = None , dataset = 'un2000' , subset_pct = 100 ) : assert dataset in ( 'europarl7' , 'un2000' ) , "invalid dataset" processed_file = os . path . join ( path , dataset + '-' + split + '.h5' ) assert os . path . exists ( processed_file ) , "Dataset at '" + processed_file + "' not found" self . subset_pct = subset_pct super ( TextNMT , self ) . __init__ ( time_steps , processed_file , vocab = None , tokenizer = tokenizer , onehot_input = onehot_input , get_prev_target = get_prev_target , reverse_target = True )