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| fh = np.arange(test_len) + 1 | |
| forecast = forecaster.predict(fh=fh) | |
| forecast_int = forecaster.predict_interval(fh=fh, coverage=coverage)['Coverage'][coverage] | |
| wpi_arima_mae, wpi_arima_mape = plot_forecast( | |
| wpi_train, wpi_test, forecast, forecast_int | |
| ) |
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