ClusterConfigProperty Struct
The configuration for the cluster resources used to run the processing job.
Example
ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from 'aws-cdk-lib';
const clusterConfigProperty: sagemaker.CfnModelExplainabilityJobDefinition.ClusterConfigProperty = {
instanceCount: 123,
instanceType: 'instanceType',
volumeSizeInGb: 123,
// the properties below are optional
volumeKmsKeyId: 'volumeKmsKeyId',
};
Properties
instanceCountnumberinstance_countint | floatinstanceCountNumberInstanceCountdoubleInstanceCount*float64required#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.
The ML compute instance type for the processing job.
volumeKmsKeyIdstringvolume_kms_key_idstrvolumeKmsKeyIdStringVolumeKmsKeyIdstringVolumeKmsKeyId*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.
volumeSizeInGbnumbervolume_size_in_gbint | floatvolumeSizeInGbNumberVolumeSizeInGbdoubleVolumeSizeInGb*float64required#The size of the ML storage volume, in gigabytes, that you want to provision.
You must specify sufficient ML storage for your scenario.