Uses of Interface
software.amazon.awssdk.services.sagemaker.model.TimeSeriesForecastingJobConfig.Builder

Packages that use TimeSeriesForecastingJobConfig.Builder

Package	Description
software.amazon.awssdk.services.sagemaker.model

Uses of TimeSeriesForecastingJobConfig.Builder in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return TimeSeriesForecastingJobConfig.Builder

Modifier and Type	Method and Description
static TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.builder()
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.completionCriteria(AutoMLJobCompletionCriteria completionCriteria) Sets the value of the CompletionCriteria property for this object.
default TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.completionCriteria(Consumer<AutoMLJobCompletionCriteria.Builder> completionCriteria) Sets the value of the CompletionCriteria property for this object.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.featureSpecificationS3Uri(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.Builder	TimeSeriesForecastingJobConfig.Builder.forecastFrequency(String forecastFrequency) The frequency of predictions in a forecast.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.forecastHorizon(Integer forecastHorizon) The number of time-steps that the model predicts.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.forecastQuantiles(Collection<String> forecastQuantiles) The quantiles used to train the model for forecasts at a specified quantile.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.forecastQuantiles(String... forecastQuantiles) The quantiles used to train the model for forecasts at a specified quantile.
default TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.timeSeriesConfig(Consumer<TimeSeriesConfig.Builder> timeSeriesConfig) The collection of components that defines the time-series.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.timeSeriesConfig(TimeSeriesConfig timeSeriesConfig) The collection of components that defines the time-series.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.toBuilder()
default TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.transformations(Consumer<TimeSeriesTransformations.Builder> transformations) The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.
TimeSeriesForecastingJobConfig.Builder	TimeSeriesForecastingJobConfig.Builder.transformations(TimeSeriesTransformations transformations) The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.

Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type TimeSeriesForecastingJobConfig.Builder

Modifier and Type	Method and Description
static Class<? extends TimeSeriesForecastingJobConfig.Builder>	TimeSeriesForecastingJobConfig.serializableBuilderClass()

Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type TimeSeriesForecastingJobConfig.Builder

Modifier and Type	Method and Description
static AutoMLProblemTypeConfig	AutoMLProblemTypeConfig.fromTimeSeriesForecastingJobConfig(Consumer<TimeSeriesForecastingJobConfig.Builder> timeSeriesForecastingJobConfig) Create an instance of this class with AutoMLProblemTypeConfig.timeSeriesForecastingJobConfig() initialized to the given value.
default AutoMLProblemTypeConfig.Builder	AutoMLProblemTypeConfig.Builder.timeSeriesForecastingJobConfig(Consumer<TimeSeriesForecastingJobConfig.Builder> timeSeriesForecastingJobConfig) Settings used to configure an AutoML job V2 for a time-series forecasting problem type.