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

Packages that use ResourceConfig.Builder

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

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

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

Modifier and Type	Method and Description
static ResourceConfig.Builder	ResourceConfig.builder()
ResourceConfig.Builder	ResourceConfig.Builder.instanceCount(Integer instanceCount) The number of ML compute instances to use.
ResourceConfig.Builder	ResourceConfig.Builder.instanceType(String instanceType) The ML compute instance type.
ResourceConfig.Builder	ResourceConfig.Builder.instanceType(TrainingInstanceType instanceType) The ML compute instance type.
ResourceConfig.Builder	ResourceConfig.toBuilder()
ResourceConfig.Builder	ResourceConfig.Builder.volumeKmsKeyId(String volumeKmsKeyId) The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
ResourceConfig.Builder	ResourceConfig.Builder.volumeSizeInGB(Integer volumeSizeInGB) The size of the ML storage volume that you want to provision.

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

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

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

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