Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
---|---|
ArimaModelInfo |
ArimaModelInfo.clone() |
ArimaModelInfo |
ArimaModelInfo.set(String fieldName,
Object value) |
ArimaModelInfo |
ArimaModelInfo.setArimaCoefficients(ArimaCoefficients arimaCoefficients)
Arima coefficients.
|
ArimaModelInfo |
ArimaModelInfo.setArimaFittingMetrics(ArimaFittingMetrics arimaFittingMetrics)
Arima fitting metrics.
|
ArimaModelInfo |
ArimaModelInfo.setHasDrift(Boolean hasDrift)
Whether Arima model fitted with drift or not.
|
ArimaModelInfo |
ArimaModelInfo.setHasHolidayEffect(Boolean hasHolidayEffect)
If true, holiday_effect is a part of time series decomposition result.
|
ArimaModelInfo |
ArimaModelInfo.setHasSpikesAndDips(Boolean hasSpikesAndDips)
If true, spikes_and_dips is a part of time series decomposition result.
|
ArimaModelInfo |
ArimaModelInfo.setHasStepChanges(Boolean hasStepChanges)
If true, step_changes is a part of time series decomposition result.
|
ArimaModelInfo |
ArimaModelInfo.setNonSeasonalOrder(ArimaOrder nonSeasonalOrder)
Non-seasonal order.
|
ArimaModelInfo |
ArimaModelInfo.setSeasonalPeriods(List<String> seasonalPeriods)
Seasonal periods.
|
ArimaModelInfo |
ArimaModelInfo.setTimeSeriesId(String timeSeriesId)
The time_series_id value for this time series.
|
ArimaModelInfo |
ArimaModelInfo.setTimeSeriesIds(List<String> timeSeriesIds)
The tuple of time_series_ids identifying this time series.
|
Modifier and Type | Method and Description |
---|---|
List<ArimaModelInfo> |
ArimaResult.getArimaModelInfo()
This message is repeated because there are multiple arima models fitted in auto-arima.
|
Modifier and Type | Method and Description |
---|---|
ArimaResult |
ArimaResult.setArimaModelInfo(List<ArimaModelInfo> arimaModelInfo)
This message is repeated because there are multiple arima models fitted in auto-arima.
|
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