Package software.amazon.awssdk.services.sagemaker.model

Interface MonitoringClusterConfig.Builder

All Superinterfaces:
Buildable, CopyableBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>, SdkBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>, SdkPojo
Enclosing class:
MonitoringClusterConfig
public static interface MonitoringClusterConfig.Builder extends SdkPojo, CopyableBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>

  • Method Details

    • instanceCount

      MonitoringClusterConfig.Builder instanceCount(Integer instanceCount)

      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.

      Parameters:
      instanceCount - 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.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • instanceType

      MonitoringClusterConfig.Builder instanceType(String instanceType)

      The ML compute instance type for the processing job.

      Parameters:
      instanceType - The ML compute instance type for the processing job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • instanceType

      MonitoringClusterConfig.Builder instanceType(ProcessingInstanceType instanceType)

      The ML compute instance type for the processing job.

      Parameters:
      instanceType - The ML compute instance type for the processing job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • volumeSizeInGB

      MonitoringClusterConfig.Builder volumeSizeInGB(Integer volumeSizeInGB)

      The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

      Parameters:
      volumeSizeInGB - The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • volumeKmsKeyId

      MonitoringClusterConfig.Builder volumeKmsKeyId(String volumeKmsKeyId)

      The Key Management Service (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.

      Parameters:
      volumeKmsKeyId - The Key Management Service (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.
      Returns:
      Returns a reference to this object so that method calls can be chained together.