software.amazon.awscdk.services.sagemaker

Interface CfnModelExplainabilityJobDefinition.ClusterConfigProperty

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Implementing Classes:

CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Jsii$Proxy

Enclosing class:

CfnModelExplainabilityJobDefinition

@Stability(value=Stable)
public static interface CfnModelExplainabilityJobDefinition.ClusterConfigProperty
extends software.amazon.jsii.JsiiSerializable

The configuration for the cluster resources used to run the processing job.

Example:

 // The code below shows an example of how to instantiate this type.
 // The values are placeholders you should change.
 import software.amazon.awscdk.services.sagemaker.*;
 ClusterConfigProperty clusterConfigProperty = ClusterConfigProperty.builder()
         .instanceCount(123)
         .instanceType("instanceType")
         .volumeSizeInGb(123)
         // the properties below are optional
         .volumeKmsKeyId("volumeKmsKeyId")
         .build();
 

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Builder A builder for CfnModelExplainabilityJobDefinition.ClusterConfigProperty
static class	CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Jsii$Proxy An implementation for CfnModelExplainabilityJobDefinition.ClusterConfigProperty

Method Summary

Modifier and Type	Method and Description
static CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Builder	builder()
Number	getInstanceCount() The number of ML compute instances to use in the model monitoring job.
String	getInstanceType() The ML compute instance type for the processing job.
default String	getVolumeKmsKeyId() 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 model monitoring job.
Number	getVolumeSizeInGb() The size of the ML storage volume, in gigabytes, that you want to provision.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getInstanceCount

@Stability(value=Stable)
 @NotNull
Number getInstanceCount()

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.

getInstanceType

@Stability(value=Stable)
 @NotNull
String getInstanceType()

The ML compute instance type for the processing job.

getVolumeSizeInGb

@Stability(value=Stable)
 @NotNull
Number getVolumeSizeInGb()

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

You must specify sufficient ML storage for your scenario.

getVolumeKmsKeyId

@Stability(value=Stable)
 @Nullable
default String getVolumeKmsKeyId()

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 model monitoring job.

builder

@Stability(value=Stable)
static CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Builder builder()

Returns:

a CfnModelExplainabilityJobDefinition.ClusterConfigProperty.Builder of CfnModelExplainabilityJobDefinition.ClusterConfigProperty