Model evaluation metrics for a single ARIMA forecasting model.

Attributes

• arimaFittingMetrics (type: GoogleApi.BigQuery.V2.Model.ArimaFittingMetrics.t, default: nil) - Arima fitting metrics.
• hasDrift (type: boolean(), default: nil) - Is arima model fitted with drift or not. It is always false when d is not 1.
• hasHolidayEffect (type: boolean(), default: nil) - If true, holiday_effect is a part of time series decomposition result.
• hasSpikesAndDips (type: boolean(), default: nil) - If true, spikes_and_dips is a part of time series decomposition result.
• hasStepChanges (type: boolean(), default: nil) - If true, step_changes is a part of time series decomposition result.
• nonSeasonalOrder (type: GoogleApi.BigQuery.V2.Model.ArimaOrder.t, default: nil) - Non-seasonal order.
• seasonalPeriods (type: list(String.t), default: nil) - Seasonal periods. Repeated because multiple periods are supported for one time series.
• timeSeriesId (type: String.t, default: nil) - The time_series_id value for this time series. It will be one of the unique values from the time_series_id_column specified during ARIMA model training. Only present when time_series_id_column training option was used.
• timeSeriesIds (type: list(String.t), default: nil) - The tuple of time_series_ids identifying this time series. It will be one of the unique tuples of values present in the time_series_id_columns specified during ARIMA model training. Only present when time_series_id_columns training option was used and the order of values here are same as the order of time_series_id_columns.