Package | Description |
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com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
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ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.clone() |
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.set(String fieldName,
Object value) |
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setArimaFittingMetrics(ArimaFittingMetrics arimaFittingMetrics)
Arima fitting metrics.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setHasDrift(Boolean hasDrift)
Is arima model fitted with drift or not.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setHasHolidayEffect(Boolean hasHolidayEffect)
If true, holiday_effect is a part of time series decomposition result.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setHasSpikesAndDips(Boolean hasSpikesAndDips)
If true, spikes_and_dips is a part of time series decomposition result.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setHasStepChanges(Boolean hasStepChanges)
If true, step_changes is a part of time series decomposition result.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setNonSeasonalOrder(ArimaOrder nonSeasonalOrder)
Non-seasonal order.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setSeasonalPeriods(List<String> seasonalPeriods)
Seasonal periods.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setTimeSeriesId(String timeSeriesId)
The time_series_id value for this time series.
|
ArimaSingleModelForecastingMetrics |
ArimaSingleModelForecastingMetrics.setTimeSeriesIds(List<String> timeSeriesIds)
The tuple of time_series_ids identifying this time series.
|
Modifier and Type | Method and Description |
---|---|
List<ArimaSingleModelForecastingMetrics> |
ArimaForecastingMetrics.getArimaSingleModelForecastingMetrics()
Repeated as there can be many metric sets (one for each model) in auto-arima and the large-
scale case.
|
Modifier and Type | Method and Description |
---|---|
ArimaForecastingMetrics |
ArimaForecastingMetrics.setArimaSingleModelForecastingMetrics(List<ArimaSingleModelForecastingMetrics> arimaSingleModelForecastingMetrics)
Repeated as there can be many metric sets (one for each model) in auto-arima and the large-
scale case.
|
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