sagemaker/aws.sdk.kotlin.services.sagemaker.model/LabelingJobResourceConfig

LabelingJobResourceConfig

Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.

Types

Builder

class Builder

Companion

object Companion

Properties

volumeKmsKeyId

val volumeKmsKeyId: String?

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

vpcConfig

val vpcConfig: VpcConfig?

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.

Functions

copy

inline fun copy(block: LabelingJobResourceConfig.Builder.() -> Unit = {}): LabelingJobResourceConfig

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String