Uses of Class software.amazon.awssdk.services.sagemaker.model.ResourceConfig (AWS Java SDK :: Services :: Amazon SageMaker 2.31.32 API)

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	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`	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.
`ResourceConfig`	TrainingJobDefinition.`resourceConfig()`	The resources, including the ML compute instances and ML storage volumes, to use for model training.

Methods in software.amazon.awssdk.services.sagemaker.model with parameters of type ResourceConfig
Modifier and Type	Method	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.
`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.
`TrainingJobDefinition.Builder`	TrainingJobDefinition.Builder.`resourceConfig(ResourceConfig resourceConfig)`	The resources, including the ML compute instances and ML storage volumes, to use for model training.