Interface CfnDataQualityJobDefinition.ClusterConfigProperty
- All Superinterfaces:
- software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
- CfnDataQualityJobDefinition.ClusterConfigProperty.Jsii$Proxy
- Enclosing class:
- CfnDataQualityJobDefinition
@Stability(Stable)
public static interface CfnDataQualityJobDefinition.ClusterConfigProperty
extends software.amazon.jsii.JsiiSerializable
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 software.amazon.awscdk.services.sagemaker.*;
 ClusterConfigProperty clusterConfigProperty = ClusterConfigProperty.builder()
         .instanceCount(123)
         .instanceType("instanceType")
         .volumeSizeInGb(123)
         // the properties below are optional
         .volumeKmsKeyId("volumeKmsKeyId")
         .build();
 - See Also:
- 
Nested Class SummaryNested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forCfnDataQualityJobDefinition.ClusterConfigPropertystatic final classAn implementation forCfnDataQualityJobDefinition.ClusterConfigProperty
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Method SummaryModifier and TypeMethodDescriptionbuilder()The number of ML compute instances to use in the model monitoring job.The ML compute instance type for the processing job.default StringThe 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.The size of the ML storage volume, in gigabytes, that you want to provision.Methods inherited from interface software.amazon.jsii.JsiiSerializable$jsii$toJson
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Method Details- 
getInstanceCountThe 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. - See Also:
 
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getInstanceTypeThe ML compute instance type for the processing job.- See Also:
 
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getVolumeSizeInGbThe size of the ML storage volume, in gigabytes, that you want to provision.You must specify sufficient ML storage for your scenario. - See Also:
 
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getVolumeKmsKeyIdThe 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.- See Also:
 
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builder
 
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