labels=parsed['pred']
    #kdj_gold = tf.reshape(parsed['KDJ_gold'],shape=[3,0])
    kdj_gold=tf.cast(parsed['KDJ_gold'],tf.string)




    return {'volume':parsed['volume'],
            'Quote_asset_volume': parsed['Quote_asset_volume'],
            'Number_of_trades': parsed['Number_of_trades'],
            'Taker_buy_base_asset_volume': parsed['Taker_buy_base_asset_volume'],
            'Taker_buy_quote_asset_volume': parsed['Taker_buy_quote_asset_volume'],
            '5day_press': parsed['5day_press'],
            '30day_press': parsed['30day_press'],
            '60day_press': parsed['60day_press'],
            'change': parsed['change'],
            'change_day': parsed['change_day'],
            'day_ofyear': parsed['day_ofyear'],
            'series': parsed['series'],
            'num_updowm': parsed['num_updowm'],
            'a': parsed['a'],
            'up_shaow_day': parsed['up_shaow_day'],
            'down_shaow_day': parsed['down_shaow_day'],
            'up_shaow_15min': parsed['up_shaow_15min'],
            'down_shaow_15min': parsed['down_shaow_15min'],
            'szzs': parsed['szzs'],
            'dif': parsed['dif'],
            'dea': parsed['dea'],
            'macd': parsed['macd'],
            'K': parsed['K'],
            'D': parsed['D'],
            'J': parsed['J'],
            'KDJ_gold': kdj_gold,
            'low_rate': parsed['low_rate'],
            'high_rate': parsed['high_rate'],
            'time': parsed['time'],
            'time_next': parsed['time_next'],
            'RSI': parsed['RSI'],
            },labels

parsed_dataset = raw_dataset.map(_parse_function)
parsed_dataset= parsed_dataset.repeat()
parsed_dataset= parsed_dataset.batch(batch_size)#n_step)
parsed_dataset = parsed_dataset.window(5)
print(parsed_dataset.output_shapes)
return parsed_dataset