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

Packages that use TabularJobConfig.Builder

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

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

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

Modifier and Type	Method	Description
static TabularJobConfig.Builder	TabularJobConfig.builder()
default TabularJobConfig.Builder	TabularJobConfig.Builder.candidateGenerationConfig(Consumer<CandidateGenerationConfig.Builder> candidateGenerationConfig)	The configuration information of how model candidates are generated.
TabularJobConfig.Builder	TabularJobConfig.Builder.candidateGenerationConfig(CandidateGenerationConfig candidateGenerationConfig)	The configuration information of how model candidates are generated.
default TabularJobConfig.Builder	TabularJobConfig.Builder.completionCriteria(Consumer<AutoMLJobCompletionCriteria.Builder> completionCriteria)	Sets the value of the CompletionCriteria property for this object.
TabularJobConfig.Builder	TabularJobConfig.Builder.completionCriteria(AutoMLJobCompletionCriteria completionCriteria)	Sets the value of the CompletionCriteria property for this object.
TabularJobConfig.Builder	TabularJobConfig.Builder.featureSpecificationS3Uri(String featureSpecificationS3Uri)	A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job V2.
TabularJobConfig.Builder	TabularJobConfig.Builder.generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)	Generates possible candidates without training the models.
TabularJobConfig.Builder	TabularJobConfig.Builder.mode(String mode)	The method that Autopilot uses to train the data.
TabularJobConfig.Builder	TabularJobConfig.Builder.mode(AutoMLMode mode)	The method that Autopilot uses to train the data.
TabularJobConfig.Builder	TabularJobConfig.Builder.problemType(String problemType)	The type of supervised learning problem available for the model candidates of the AutoML job V2.
TabularJobConfig.Builder	TabularJobConfig.Builder.problemType(ProblemType problemType)	The type of supervised learning problem available for the model candidates of the AutoML job V2.
TabularJobConfig.Builder	TabularJobConfig.Builder.sampleWeightAttributeName(String sampleWeightAttributeName)	If specified, this column name indicates which column of the dataset should be treated as sample weights for use by the objective metric during the training, evaluation, and the selection of the best model.
TabularJobConfig.Builder	TabularJobConfig.Builder.targetAttributeName(String targetAttributeName)	The name of the target variable in supervised learning, usually represented by 'y'.
TabularJobConfig.Builder	TabularJobConfig.toBuilder()

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

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

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

Modifier and Type	Method	Description
static AutoMLProblemTypeConfig	AutoMLProblemTypeConfig.fromTabularJobConfig(Consumer<TabularJobConfig.Builder> tabularJobConfig)	Create an instance of this class with AutoMLProblemTypeConfig.tabularJobConfig() initialized to the given value.
default AutoMLProblemTypeConfig.Builder	AutoMLProblemTypeConfig.Builder.tabularJobConfig(Consumer<TabularJobConfig.Builder> tabularJobConfig)	Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).