interface ClusterConfigProperty

Language	Type name
.NET	Amazon.CDK.AWS.Sagemaker.CfnModelBiasJobDefinition.ClusterConfigProperty
Java	software.amazon.awscdk.services.sagemaker.CfnModelBiasJobDefinition.ClusterConfigProperty
Python	aws_cdk.aws_sagemaker.CfnModelBiasJobDefinition.ClusterConfigProperty
TypeScript	@aws-cdk/aws-sagemaker » CfnModelBiasJobDefinition » ClusterConfigProperty

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 * as sagemaker from '@aws-cdk/aws-sagemaker';
const clusterConfigProperty: sagemaker.CfnModelBiasJobDefinition.ClusterConfigProperty = {
  instanceCount: 123,
  instanceType: 'instanceType',
  volumeSizeInGb: 123,

  // the properties below are optional
  volumeKmsKeyId: 'volumeKmsKeyId',
};

Properties

Name	Type	Description
instanceCount	number	The number of ML compute instances to use in the model monitoring job.
instanceType	string	The ML compute instance type for the processing job.
volumeSizeInGb	number	The size of the ML storage volume, in gigabytes, that you want to provision.
volumeKmsKeyId?	string	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.

---

instanceCount

Type: number

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

Type: string

The ML compute instance type for the processing job.

---

volumeSizeInGb

Type: number

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

You must specify sufficient ML storage for your scenario.

---

volumeKmsKeyId?

Type: string (optional)

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.