GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics (google_api_big_query v0.63.0) View Source

Model evaluation metrics for ARIMA forecasting models.

Attributes

arimaFittingMetrics (type: list(GoogleApi.BigQuery.V2.Model.ArimaFittingMetrics.t), default: nil) - Arima model fitting metrics.
arimaSingleModelForecastingMetrics (type: list(GoogleApi.BigQuery.V2.Model.ArimaSingleModelForecastingMetrics.t), default: nil) - Repeated as there can be many metric sets (one for each model) in auto-arima and the large-scale case.
hasDrift (type: list(boolean()), default: nil) - Whether Arima model fitted with drift or not. It is always false when d is not 1.
nonSeasonalOrder (type: list(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: list(String.t), default: nil) - Id to differentiate different time series for the large-scale case.

Link to this section Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

t()

Specs

t() :: %GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics{
  arimaFittingMetrics:
    [GoogleApi.BigQuery.V2.Model.ArimaFittingMetrics.t()] | nil,
  arimaSingleModelForecastingMetrics:
    [GoogleApi.BigQuery.V2.Model.ArimaSingleModelForecastingMetrics.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

decode(value, options)

Specs

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

Unwrap a decoded JSON object into its complex fields.