GoogleApi.BigQuery.V2.Model.ArimaSingleModelForecastingMetrics (google_api_big_query v0.60.0) View Source

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.
  • 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.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

Specs

t() :: %GoogleApi.BigQuery.V2.Model.ArimaSingleModelForecastingMetrics{
  arimaFittingMetrics:
    GoogleApi.BigQuery.V2.Model.ArimaFittingMetrics.t() | nil,
  hasDrift: boolean() | nil,
  nonSeasonalOrder: GoogleApi.BigQuery.V2.Model.ArimaOrder.t() | nil,
  seasonalPeriods: [String.t()] | nil,
  timeSeriesId: String.t() | nil
}

Link to this section Functions

Specs

decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.