Class CfnModelExplainabilityJobDefinitionPropsMixin.ClusterConfigProperty
The configuration for the cluster resources used to run the processing job.
Inherited Members
Namespace: Amazon.CDK.Mixins.Preview.AWS.SageMaker.Mixins
Assembly: Amazon.CDK.Mixins.Preview.dll
Syntax (csharp)
public class CfnModelExplainabilityJobDefinitionPropsMixin.ClusterConfigProperty : CfnModelExplainabilityJobDefinitionPropsMixin.IClusterConfigProperty
Syntax (vb)
Public Class CfnModelExplainabilityJobDefinitionPropsMixin.ClusterConfigProperty Implements CfnModelExplainabilityJobDefinitionPropsMixin.IClusterConfigProperty
Remarks
ExampleMetadata: fixture=_generated
Examples
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
using Amazon.CDK.Mixins.Preview.AWS.SageMaker.Mixins;
var clusterConfigProperty = new ClusterConfigProperty {
InstanceCount = 123,
InstanceType = "instanceType",
VolumeKmsKeyId = "volumeKmsKeyId",
VolumeSizeInGb = 123
};
Synopsis
Constructors
| ClusterConfigProperty() | The configuration for the cluster resources used to run the processing job. |
Properties
| InstanceCount | The number of ML compute instances to use in the model monitoring job. |
| InstanceType | The ML compute instance type for the processing job. |
| VolumeKmsKeyId | 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 | The size of the ML storage volume, in gigabytes, that you want to provision. |
Constructors
ClusterConfigProperty()
The configuration for the cluster resources used to run the processing job.
public ClusterConfigProperty()
Remarks
ExampleMetadata: fixture=_generated
Examples
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
using Amazon.CDK.Mixins.Preview.AWS.SageMaker.Mixins;
var clusterConfigProperty = new ClusterConfigProperty {
InstanceCount = 123,
InstanceType = "instanceType",
VolumeKmsKeyId = "volumeKmsKeyId",
VolumeSizeInGb = 123
};
Properties
InstanceCount
The number of ML compute instances to use in the model monitoring job.
public double? InstanceCount { get; set; }
Property Value
Remarks
For distributed processing jobs, specify a value greater than 1. The default value is 1.
InstanceType
The ML compute instance type for the processing job.
public string? InstanceType { get; set; }
Property Value
Remarks
VolumeKmsKeyId
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.
public string? VolumeKmsKeyId { get; set; }
Property Value
Remarks
VolumeSizeInGb
The size of the ML storage volume, in gigabytes, that you want to provision.
public double? VolumeSizeInGb { get; set; }
Property Value
Remarks
You must specify sufficient ML storage for your scenario.