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dpbac/mean_sarima.py Secret

Created June 23, 2021 12:26
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mean_sarima.py
sarima_01_model = SARIMAX(df_store_2_item_28_time, order=(0,1,6), seasonal_order=(0,1,1,7))
sarima_01_results = sarima_01_model.fit()
# Calculate the mean absolute error from residuals
mae = np.mean(np.abs(sarima_01_results.resid))
# Print mean absolute error
print('MAE: %.3f' % mae)
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