Interface CfnMonitoringSchedulePropsMixin.ClusterConfigProperty
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnMonitoringSchedulePropsMixin.ClusterConfigProperty.Jsii$Proxy
- Enclosing class:
CfnMonitoringSchedulePropsMixin
@Stability(Stable)
public static interface CfnMonitoringSchedulePropsMixin.ClusterConfigProperty
extends software.amazon.jsii.JsiiSerializable
Configuration for the cluster used to run model monitoring jobs.
Example:
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import software.amazon.awscdk.cfnpropertymixins.services.sagemaker.*;
ClusterConfigProperty clusterConfigProperty = ClusterConfigProperty.builder()
.instanceCount(123)
.instanceType("instanceType")
.volumeKmsKeyId("volumeKmsKeyId")
.volumeSizeInGb(123)
.build();
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Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forCfnMonitoringSchedulePropsMixin.ClusterConfigPropertystatic final classAn implementation forCfnMonitoringSchedulePropsMixin.ClusterConfigProperty -
Method Summary
Modifier and TypeMethodDescriptionbuilder()default NumberThe number of ML compute instances to use in the model monitoring job.default StringThe 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.default NumberThe 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
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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.
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getInstanceType
The ML compute instance type for the processing job.- See Also:
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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.- See Also:
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getVolumeSizeInGb
The 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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builder
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