Class DataQualityJobDefinitionJobResourcesClusterConfig


  • public final class DataQualityJobDefinitionJobResourcesClusterConfig
    extends java.lang.Object
    • Method Detail

      • 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.
      • instanceType

        public java.lang.String instanceType()
        Returns:
        The ML compute instance type for the processing job.
      • 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.
      • 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.