Mlp, Time Series Forecasting, Data Science, Machine Learning, TensorFlow.
col in ['item', 'store']] for i in range(window, 0, -1): columns_to_drop += [('%s(t-%d)' % (col, i)) for col in ['item', 'store']] series.drop(columns_to_drop, axis=1, inplace=True) series.drop(['item(t)', 'store(t)'], axis=1, inplace=True) Kita pisahkan (split) validasi dan train. # Label