Uses of Class
com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig

Packages that use TimeSeriesForecastingJobConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of TimeSeriesForecastingJobConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return TimeSeriesForecastingJobConfig

Modifier and Type	Method and Description
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.clone()
TimeSeriesForecastingJobConfig	AutoMLProblemTypeConfig.getTimeSeriesForecastingJobConfig() Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withCandidateGenerationConfig(CandidateGenerationConfig candidateGenerationConfig)
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withCompletionCriteria(AutoMLJobCompletionCriteria completionCriteria)
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withFeatureSpecificationS3Uri(String featureSpecificationS3Uri) A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID, timestamp, and grouped columns set in TimeSeriesConfig.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withForecastFrequency(String forecastFrequency) The frequency of predictions in a forecast.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withForecastHorizon(Integer forecastHorizon) The number of time-steps that the model predicts.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withForecastQuantiles(Collection<String> forecastQuantiles) The quantiles used to train the model for forecasts at a specified quantile.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withForecastQuantiles(String... forecastQuantiles) The quantiles used to train the model for forecasts at a specified quantile.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withHolidayConfig(Collection<HolidayConfigAttributes> holidayConfig) The collection of holiday featurization attributes used to incorporate national holiday information into your forecasting model.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withHolidayConfig(HolidayConfigAttributes... holidayConfig) The collection of holiday featurization attributes used to incorporate national holiday information into your forecasting model.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withTimeSeriesConfig(TimeSeriesConfig timeSeriesConfig) The collection of components that defines the time-series.
TimeSeriesForecastingJobConfig	TimeSeriesForecastingJobConfig.withTransformations(TimeSeriesTransformations transformations) The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.

Methods in com.amazonaws.services.sagemaker.model with parameters of type TimeSeriesForecastingJobConfig

Modifier and Type	Method and Description
void	AutoMLProblemTypeConfig.setTimeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig timeSeriesForecastingJobConfig) Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
AutoMLProblemTypeConfig	AutoMLProblemTypeConfig.withTimeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig timeSeriesForecastingJobConfig) Settings used to configure an AutoML job V2 for the time-series forecasting problem type.