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

ProcessingClusterConfig

class ProcessingClusterConfig

Configuration for the cluster used to run a processing job.

Types

Builder

class Builder

Companion

object Companion

Properties

instanceCount

val instanceCount: Int?

The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

instanceType

val instanceType: ProcessingInstanceType?

The ML compute instance type for the processing job.

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 processing job.

volumeSizeInGb

val volumeSizeInGb: Int?

The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String