Uses of Class
software.amazon.awssdk.services.sagemaker.model.ResourceConfig

Packages that use ResourceConfig

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

Uses of ResourceConfig in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return ResourceConfig

Modifier and Type	Method and Description
ResourceConfig	CreateTrainingJobRequest.resourceConfig() The resources, including the ML compute instances and ML storage volumes, to use for model training.
ResourceConfig	DescribeTrainingJobResponse.resourceConfig() Resources, including ML compute instances and ML storage volumes, that are configured for model training.
ResourceConfig	TrainingJobDefinition.resourceConfig() The resources, including the ML compute instances and ML storage volumes, to use for model training.
ResourceConfig	HyperParameterTrainingJobDefinition.resourceConfig() The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
ResourceConfig	TrainingJob.resourceConfig() Resources, including ML compute instances and ML storage volumes, that are configured for model training.

Methods in software.amazon.awssdk.services.sagemaker.model with parameters of type ResourceConfig

Modifier and Type	Method and Description
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.resourceConfig(ResourceConfig resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
DescribeTrainingJobResponse.Builder	DescribeTrainingJobResponse.Builder.resourceConfig(ResourceConfig resourceConfig) Resources, including ML compute instances and ML storage volumes, that are configured for model training.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.resourceConfig(ResourceConfig resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
HyperParameterTrainingJobDefinition.Builder	HyperParameterTrainingJobDefinition.Builder.resourceConfig(ResourceConfig resourceConfig) The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
TrainingJob.Builder	TrainingJob.Builder.resourceConfig(ResourceConfig resourceConfig) Resources, including ML compute instances and ML storage volumes, that are configured for model training.