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

Packages that use TabularJobConfig

Package	Description
com.amazonaws.services.sagemaker.model

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

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

Modifier and Type	Method and Description
TabularJobConfig	TabularJobConfig.clone()
TabularJobConfig	AutoMLProblemTypeConfig.getTabularJobConfig() Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
TabularJobConfig	TabularJobConfig.withCandidateGenerationConfig(CandidateGenerationConfig candidateGenerationConfig) The configuration information of how model candidates are generated.
TabularJobConfig	TabularJobConfig.withCompletionCriteria(AutoMLJobCompletionCriteria completionCriteria)
TabularJobConfig	TabularJobConfig.withFeatureSpecificationS3Uri(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	TabularJobConfig.withGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly) Generates possible candidates without training the models.
TabularJobConfig	TabularJobConfig.withMode(AutoMLMode mode) The method that Autopilot uses to train the data.
TabularJobConfig	TabularJobConfig.withMode(String mode) The method that Autopilot uses to train the data.
TabularJobConfig	TabularJobConfig.withProblemType(ProblemType problemType) The type of supervised learning problem available for the model candidates of the AutoML job V2.
TabularJobConfig	TabularJobConfig.withProblemType(String problemType) The type of supervised learning problem available for the model candidates of the AutoML job V2.
TabularJobConfig	TabularJobConfig.withSampleWeightAttributeName(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	TabularJobConfig.withTargetAttributeName(String targetAttributeName) The name of the target variable in supervised learning, usually represented by 'y'.

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

Modifier and Type	Method and Description
void	AutoMLProblemTypeConfig.setTabularJobConfig(TabularJobConfig tabularJobConfig) Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
AutoMLProblemTypeConfig	AutoMLProblemTypeConfig.withTabularJobConfig(TabularJobConfig tabularJobConfig) Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).