interface ClusterConfigProperty
| Language | Type name |
|---|---|
.NET | Amazon.CDK.Mixins.Preview.AWS.SageMaker.Mixins.CfnDataQualityJobDefinitionPropsMixin.ClusterConfigProperty |
Go | github.com/aws/aws-cdk-go/awscdkmixinspreview/v2/awssagemaker/mixins#CfnDataQualityJobDefinitionPropsMixin_ClusterConfigProperty |
Java | software.amazon.awscdk.mixins.preview.services.sagemaker.mixins.CfnDataQualityJobDefinitionPropsMixin.ClusterConfigProperty |
Python | aws_cdk.mixins_preview.aws_sagemaker.mixins.CfnDataQualityJobDefinitionPropsMixin.ClusterConfigProperty |
TypeScript | @aws-cdk/mixins-preview » aws_sagemaker » mixins » CfnDataQualityJobDefinitionPropsMixin » ClusterConfigProperty |
The configuration for the cluster of 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 { mixins as sagemaker_mixins } from '@aws-cdk/mixins-preview/aws-sagemaker';
const clusterConfigProperty: sagemaker_mixins.CfnDataQualityJobDefinitionPropsMixin.ClusterConfigProperty = {
instanceCount: 123,
instanceType: 'instanceType',
volumeKmsKeyId: 'volumeKmsKeyId',
volumeSizeInGb: 123,
};
Properties
| Name | Type | Description |
|---|---|---|
| instance | number | The number of ML compute instances to use in the model monitoring job. |
| instance | string | The ML compute instance type for the processing job. |
| volume | 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. |
| volume | number | The size of the ML storage volume, in gigabytes, that you want to provision. |
instanceCount?
Type:
number
(optional)
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
(optional)
The ML compute instance type for the processing job.
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.
volumeSizeInGb?
Type:
number
(optional)
The size of the ML storage volume, in gigabytes, that you want to provision.
You must specify sufficient ML storage for your scenario.

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