software.amazon.awssdk.services.sagemaker.model

Class HyperParameterAlgorithmSpecification

java.lang.Object

software.amazon.awssdk.services.sagemaker.model.HyperParameterAlgorithmSpecification

All Implemented Interfaces:

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

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

Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	HyperParameterAlgorithmSpecification.Builder

Method Summary

Modifier and Type	Method and Description
String	algorithmName() The name of the resource algorithm to use for the hyperparameter tuning job.
static HyperParameterAlgorithmSpecification.Builder	builder()
boolean	equals(Object obj)
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
List<MetricDefinition>	metricDefinitions() An array of MetricDefinition objects that specify the metrics that the algorithm emits.
List<SdkField<?>>	sdkFields()
static Class<? extends HyperParameterAlgorithmSpecification.Builder>	serializableBuilderClass()
HyperParameterAlgorithmSpecification.Builder	toBuilder() Take this object and create a builder that contains all of the current property values of this object.
String	toString()
String	trainingImage() The registry path of the Docker image that contains the training algorithm.
TrainingInputMode	trainingInputMode() The input mode that the algorithm supports: File or Pipe.
String	trainingInputModeAsString() The input mode that the algorithm supports: File or Pipe.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

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

copy

Method Detail

trainingImage

public String trainingImage()

The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters.

Returns:

The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters.

trainingInputMode

public TrainingInputMode trainingInputMode()

The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.

For more information about input modes, see Algorithms.

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

Returns:

The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.

For more information about input modes, see Algorithms.

See Also:

TrainingInputMode

trainingInputModeAsString

public String trainingInputModeAsString()

The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.

For more information about input modes, see Algorithms.

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

Returns:

The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.

For more information about input modes, see Algorithms.

See Also:

TrainingInputMode

algorithmName

public String algorithmName()

The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

Returns:

The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

metricDefinitions

public List<MetricDefinition> metricDefinitions()

An array of MetricDefinition objects that specify the metrics that the algorithm emits.

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

Returns:

An array of MetricDefinition objects that specify the metrics that the algorithm emits.

toBuilder

public HyperParameterAlgorithmSpecification.Builder toBuilder()

Description copied from interface: ToCopyableBuilder

Take this object and create a builder that contains all of the current property values of this object.

Specified by:

toBuilder in interface ToCopyableBuilder<HyperParameterAlgorithmSpecification.Builder,HyperParameterAlgorithmSpecification>

Returns:

a builder for type T

builder

public static HyperParameterAlgorithmSpecification.Builder builder()

serializableBuilderClass

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

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

toString

public String toString()

Overrides:

toString in class Object

getValueForField

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

sdkFields

public List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo

Returns:

List of SdkField in this POJO. May be empty list but should never be null.