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

Packages that use ModelDataSource

Package	Description
com.amazonaws.services.sagemaker.model

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

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

Modifier and Type	Method and Description
ModelDataSource	ModelDataSource.clone()
ModelDataSource	ContainerDefinition.getModelDataSource() Specifies the location of ML model data to deploy.
ModelDataSource	SourceAlgorithm.getModelDataSource() Specifies the location of ML model data to deploy during endpoint creation.
ModelDataSource	ModelPackageContainerDefinition.getModelDataSource() Specifies the location of ML model data to deploy during endpoint creation.
ModelDataSource	ModelDataSource.withS3DataSource(S3ModelDataSource s3DataSource) Specifies the S3 location of ML model data to deploy.

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

Modifier and Type	Method and Description
void	ContainerDefinition.setModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy.
void	SourceAlgorithm.setModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy during endpoint creation.
void	ModelPackageContainerDefinition.setModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy during endpoint creation.
ContainerDefinition	ContainerDefinition.withModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy.
SourceAlgorithm	SourceAlgorithm.withModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy during endpoint creation.
ModelPackageContainerDefinition	ModelPackageContainerDefinition.withModelDataSource(ModelDataSource modelDataSource) Specifies the location of ML model data to deploy during endpoint creation.