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

MonitoringClusterConfig

class MonitoringClusterConfig

Configuration for the cluster used to run model monitoring jobs.

Types

Builder

class Builder

Companion

object Companion

Properties

instanceCount

val instanceCount: Int?

The number of ML compute instances to use in the model monitoring 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 Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring 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: MonitoringClusterConfig.Builder.() -> Unit = {}): MonitoringClusterConfig

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String