software.amazon.awssdk.services.sagemaker.model

Interface ResourceConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<ResourceConfig.Builder,ResourceConfig>, SdkBuilder<ResourceConfig.Builder,ResourceConfig>, SdkPojo

Enclosing class:

ResourceConfig

public static interface ResourceConfig.Builder
extends SdkPojo, CopyableBuilder<ResourceConfig.Builder,ResourceConfig>

Method Summary

Modifier and Type	Method and Description
ResourceConfig.Builder	instanceCount(Integer instanceCount) The number of ML compute instances to use.
ResourceConfig.Builder	instanceType(String instanceType) The ML compute instance type.
ResourceConfig.Builder	instanceType(TrainingInstanceType instanceType) The ML compute instance type.
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	volumeSizeInGB(Integer volumeSizeInGB) The size of the ML storage volume that you want to provision.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

instanceType

ResourceConfig.Builder instanceType(String instanceType)

The ML compute instance type.

Parameters:

instanceType - The ML compute instance type.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

TrainingInstanceType, TrainingInstanceType

instanceType

ResourceConfig.Builder instanceType(TrainingInstanceType instanceType)

The ML compute instance type.

Parameters:

instanceType - The ML compute instance type.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

TrainingInstanceType, TrainingInstanceType

instanceCount

ResourceConfig.Builder instanceCount(Integer instanceCount)

The number of ML compute instances to use. For distributed training, provide a value greater than 1.

Parameters:

instanceCount - The number of ML compute instances to use. For distributed training, provide a value greater than 1.

Returns:

Returns a reference to this object so that method calls can be chained together.

volumeSizeInGB

ResourceConfig.Builder volumeSizeInGB(Integer volumeSizeInGB)

The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

You must specify sufficient ML storage for your scenario.

Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.

Parameters:

volumeSizeInGB - The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

You must specify sufficient ML storage for your scenario.

Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.

Returns:

Returns a reference to this object so that method calls can be chained together.

volumeKmsKeyId

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. The VolumeKmsKeyId can be any of the following formats:

• // KMS Key ID

  "1234abcd-12ab-34cd-56ef-1234567890ab"

• // Amazon Resource Name (ARN) of a KMS Key

  "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Parameters:

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. The VolumeKmsKeyId can be any of the following formats:

• // KMS Key ID

  "1234abcd-12ab-34cd-56ef-1234567890ab"

• // Amazon Resource Name (ARN) of a KMS Key

  "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Returns:

Returns a reference to this object so that method calls can be chained together.