Package com.pulumi.aws.sagemaker.outputs
Class DataQualityJobDefinitionJobResourcesClusterConfig
- java.lang.Object
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- com.pulumi.aws.sagemaker.outputs.DataQualityJobDefinitionJobResourcesClusterConfig
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public final class DataQualityJobDefinitionJobResourcesClusterConfig extends java.lang.Object
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classDataQualityJobDefinitionJobResourcesClusterConfig.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static DataQualityJobDefinitionJobResourcesClusterConfig.Builderbuilder()static DataQualityJobDefinitionJobResourcesClusterConfig.Builderbuilder(DataQualityJobDefinitionJobResourcesClusterConfig defaults)java.lang.IntegerinstanceCount()java.lang.StringinstanceType()java.util.Optional<java.lang.String>volumeKmsKeyId()java.lang.IntegervolumeSizeInGb()
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Method Detail
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instanceCount
public java.lang.Integer instanceCount()
- Returns:
- The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
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instanceType
public java.lang.String instanceType()
- Returns:
- The ML compute instance type for the processing job.
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volumeKmsKeyId
public java.util.Optional<java.lang.String> volumeKmsKeyId()
- Returns:
- KMS key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
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volumeSizeInGb
public java.lang.Integer volumeSizeInGb()
- Returns:
- 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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builder
public static DataQualityJobDefinitionJobResourcesClusterConfig.Builder builder()
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builder
public static DataQualityJobDefinitionJobResourcesClusterConfig.Builder builder(DataQualityJobDefinitionJobResourcesClusterConfig defaults)
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