software.amazon.awssdk.services.sagemaker.model

Class MonitoringClusterConfig

java.lang.Object

software.amazon.awssdk.services.sagemaker.model.MonitoringClusterConfig

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>

@Generated(value="software.amazon.awssdk:codegen")
public final class MonitoringClusterConfig
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>

Configuration for the cluster used to run model monitoring jobs.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	MonitoringClusterConfig.Builder

Method Summary

Modifier and Type	Method and Description
static MonitoringClusterConfig.Builder	builder()
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj)
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
Integer	instanceCount() The number of ML compute instances to use in the model monitoring job.
ProcessingInstanceType	instanceType() The ML compute instance type for the processing job.
String	instanceTypeAsString() The ML compute instance type for the processing job.
List<SdkField<?>>	sdkFields()
static Class<? extends MonitoringClusterConfig.Builder>	serializableBuilderClass()
MonitoringClusterConfig.Builder	toBuilder()
String	toString() Returns a string representation of this object.
String	volumeKmsKeyId() The Amazon Web Services Key Management Service (Amazon Web Services 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.
Integer	volumeSizeInGB() The size of the ML storage volume, in gigabytes, that you want to provision.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

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

copy

Method Detail

instanceCount

public final 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.

Returns:

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.

instanceType

public final ProcessingInstanceType instanceType()

The ML compute instance type for the processing job.

If the service returns an enum value that is not available in the current SDK version, instanceType will return ProcessingInstanceType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from instanceTypeAsString().

Returns:

The ML compute instance type for the processing job.

See Also:

ProcessingInstanceType

instanceTypeAsString

public final String instanceTypeAsString()

The ML compute instance type for the processing job.

If the service returns an enum value that is not available in the current SDK version, instanceType will return ProcessingInstanceType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from instanceTypeAsString().

Returns:

The ML compute instance type for the processing job.

See Also:

ProcessingInstanceType

volumeSizeInGB

public final 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.

Returns:

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

volumeKmsKeyId

public final String volumeKmsKeyId()

The Amazon Web Services Key Management Service (Amazon Web Services 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:

The Amazon Web Services Key Management Service (Amazon Web Services 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.

toBuilder

public MonitoringClusterConfig.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<MonitoringClusterConfig.Builder,MonitoringClusterConfig>

builder

public static MonitoringClusterConfig.Builder builder()

serializableBuilderClass

public static Class<? extends MonitoringClusterConfig.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class Object

equals

public final boolean equals(Object obj)

Overrides:

equals in class Object

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Specified by:

equalsBySdkFields in interface SdkPojo

toString

public final String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo