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 Summary

Modifier and Type	Method and Description
MonitoringClusterConfig.Builder	instanceCount(Integer instanceCount) The number of ML compute instances to use in the model monitoring job.
MonitoringClusterConfig.Builder	instanceType(ProcessingInstanceType instanceType) The ML compute instance type for the processing job.
MonitoringClusterConfig.Builder	instanceType(String instanceType) The ML compute instance type for the processing job.
MonitoringClusterConfig.Builder	volumeKmsKeyId(String 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.
MonitoringClusterConfig.Builder	volumeSizeInGB(Integer volumeSizeInGB) The size of the ML storage volume, in gigabytes, that you want to provision.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

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:

ProcessingInstanceType, ProcessingInstanceType

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:

ProcessingInstanceType, ProcessingInstanceType

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 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.