| Package | Description |
|---|---|
| software.amazon.awssdk.services.sagemaker.model |
| 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.instanceGroups(Collection<InstanceGroup> instanceGroups)
The configuration of a heterogeneous cluster in JSON format.
|
ResourceConfig.Builder |
ResourceConfig.Builder.instanceGroups(Consumer<InstanceGroup.Builder>... instanceGroups)
The configuration of a heterogeneous cluster in JSON format.
|
ResourceConfig.Builder |
ResourceConfig.Builder.instanceGroups(InstanceGroup... instanceGroups)
The configuration of a heterogeneous cluster in JSON format.
|
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 Amazon Web Services KMS key that 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.
|
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends ResourceConfig.Builder> |
ResourceConfig.serializableBuilderClass() |
| Modifier and Type | Method and Description |
|---|---|
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 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 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 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.
|
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.
|
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