software.amazon.awssdk.services.sagemaker.model

Interface TrainingSpecification.Builder

All Superinterfaces:

Buildable, CopyableBuilder<TrainingSpecification.Builder,TrainingSpecification>, SdkBuilder<TrainingSpecification.Builder,TrainingSpecification>, SdkPojo

Enclosing class:

TrainingSpecification

public static interface TrainingSpecification.Builder
extends SdkPojo, CopyableBuilder<TrainingSpecification.Builder,TrainingSpecification>

Method Summary

Modifier and Type	Method and Description
TrainingSpecification.Builder	metricDefinitions(Collection<MetricDefinition> metricDefinitions) A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
TrainingSpecification.Builder	metricDefinitions(Consumer<MetricDefinition.Builder>... metricDefinitions) A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
TrainingSpecification.Builder	metricDefinitions(MetricDefinition... metricDefinitions) A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
TrainingSpecification.Builder	supportedHyperParameters(Collection<HyperParameterSpecification> supportedHyperParameters) A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
TrainingSpecification.Builder	supportedHyperParameters(Consumer<HyperParameterSpecification.Builder>... supportedHyperParameters) A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
TrainingSpecification.Builder	supportedHyperParameters(HyperParameterSpecification... supportedHyperParameters) A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
TrainingSpecification.Builder	supportedTrainingInstanceTypes(Collection<TrainingInstanceType> supportedTrainingInstanceTypes) A list of the instance types that this algorithm can use for training.
TrainingSpecification.Builder	supportedTrainingInstanceTypes(TrainingInstanceType... supportedTrainingInstanceTypes) A list of the instance types that this algorithm can use for training.
TrainingSpecification.Builder	supportedTrainingInstanceTypesWithStrings(Collection<String> supportedTrainingInstanceTypes) A list of the instance types that this algorithm can use for training.
TrainingSpecification.Builder	supportedTrainingInstanceTypesWithStrings(String... supportedTrainingInstanceTypes) A list of the instance types that this algorithm can use for training.
TrainingSpecification.Builder	supportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective> supportedTuningJobObjectiveMetrics) A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.
TrainingSpecification.Builder	supportedTuningJobObjectiveMetrics(Consumer<HyperParameterTuningJobObjective.Builder>... supportedTuningJobObjectiveMetrics) A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.
TrainingSpecification.Builder	supportedTuningJobObjectiveMetrics(HyperParameterTuningJobObjective... supportedTuningJobObjectiveMetrics) A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.
TrainingSpecification.Builder	supportsDistributedTraining(Boolean supportsDistributedTraining) Indicates whether the algorithm supports distributed training.
TrainingSpecification.Builder	trainingChannels(ChannelSpecification... trainingChannels) A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
TrainingSpecification.Builder	trainingChannels(Collection<ChannelSpecification> trainingChannels) A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
TrainingSpecification.Builder	trainingChannels(Consumer<ChannelSpecification.Builder>... trainingChannels) A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
TrainingSpecification.Builder	trainingImage(String trainingImage) The Amazon Amazon ECR registry path of the Docker image that contains the training algorithm.
TrainingSpecification.Builder	trainingImageDigest(String trainingImageDigest) An MD5 hash of the training algorithm that identifies the Docker image used for training.

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

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

trainingImage

TrainingSpecification.Builder trainingImage(String trainingImage)

The Amazon Amazon ECR registry path of the Docker image that contains the training algorithm.

Parameters:

trainingImage - The Amazon Amazon ECR registry path of the Docker image that contains the training algorithm.

Returns:

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

trainingImageDigest

TrainingSpecification.Builder trainingImageDigest(String trainingImageDigest)

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Parameters:

trainingImageDigest - An MD5 hash of the training algorithm that identifies the Docker image used for training.

Returns:

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

supportedHyperParameters

TrainingSpecification.Builder supportedHyperParameters(Collection<HyperParameterSpecification> supportedHyperParameters)

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Parameters:

supportedHyperParameters - A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Returns:

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

supportedHyperParameters

TrainingSpecification.Builder supportedHyperParameters(HyperParameterSpecification... supportedHyperParameters)

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Parameters:

supportedHyperParameters - A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Returns:

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

supportedHyperParameters

TrainingSpecification.Builder supportedHyperParameters(Consumer<HyperParameterSpecification.Builder>... supportedHyperParameters)

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #supportedHyperParameters(List).

Parameters:

supportedHyperParameters - a consumer that will call methods on List.Builder

Returns:

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

See Also:

#supportedHyperParameters(List)

supportedTrainingInstanceTypesWithStrings

TrainingSpecification.Builder supportedTrainingInstanceTypesWithStrings(Collection<String> supportedTrainingInstanceTypes)

A list of the instance types that this algorithm can use for training.

Parameters:

supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

Returns:

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

supportedTrainingInstanceTypesWithStrings

TrainingSpecification.Builder supportedTrainingInstanceTypesWithStrings(String... supportedTrainingInstanceTypes)

A list of the instance types that this algorithm can use for training.

Parameters:

supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

Returns:

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

supportedTrainingInstanceTypes

TrainingSpecification.Builder supportedTrainingInstanceTypes(Collection<TrainingInstanceType> supportedTrainingInstanceTypes)

A list of the instance types that this algorithm can use for training.

Parameters:

supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

Returns:

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

supportedTrainingInstanceTypes

TrainingSpecification.Builder supportedTrainingInstanceTypes(TrainingInstanceType... supportedTrainingInstanceTypes)

A list of the instance types that this algorithm can use for training.

Parameters:

supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

Returns:

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

supportsDistributedTraining

TrainingSpecification.Builder supportsDistributedTraining(Boolean supportsDistributedTraining)

Indicates whether the algorithm supports distributed training. If set to false, buyers can’t request more than one instance during training.

Parameters:

supportsDistributedTraining - Indicates whether the algorithm supports distributed training. If set to false, buyers can’t request more than one instance during training.

Returns:

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

metricDefinitions

TrainingSpecification.Builder metricDefinitions(Collection<MetricDefinition> metricDefinitions)

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Parameters:

metricDefinitions - A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Returns:

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

metricDefinitions

TrainingSpecification.Builder metricDefinitions(MetricDefinition... metricDefinitions)

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Parameters:

metricDefinitions - A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Returns:

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

metricDefinitions

TrainingSpecification.Builder metricDefinitions(Consumer<MetricDefinition.Builder>... metricDefinitions)

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #metricDefinitions(List).

Parameters:

metricDefinitions - a consumer that will call methods on List.Builder

Returns:

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

See Also:

#metricDefinitions(List)

trainingChannels

TrainingSpecification.Builder trainingChannels(Collection<ChannelSpecification> trainingChannels)

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Parameters:

trainingChannels - A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Returns:

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

trainingChannels

TrainingSpecification.Builder trainingChannels(ChannelSpecification... trainingChannels)

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Parameters:

trainingChannels - A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Returns:

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

trainingChannels

TrainingSpecification.Builder trainingChannels(Consumer<ChannelSpecification.Builder>... trainingChannels)

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #trainingChannels(List).

Parameters:

trainingChannels - a consumer that will call methods on List.Builder

Returns:

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

See Also:

#trainingChannels(List)

supportedTuningJobObjectiveMetrics

TrainingSpecification.Builder supportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective> supportedTuningJobObjectiveMetrics)

A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Parameters:

supportedTuningJobObjectiveMetrics - A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Returns:

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

supportedTuningJobObjectiveMetrics

TrainingSpecification.Builder supportedTuningJobObjectiveMetrics(HyperParameterTuningJobObjective... supportedTuningJobObjectiveMetrics)

A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Parameters:

supportedTuningJobObjectiveMetrics - A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Returns:

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

supportedTuningJobObjectiveMetrics

TrainingSpecification.Builder supportedTuningJobObjectiveMetrics(Consumer<HyperParameterTuningJobObjective.Builder>... supportedTuningJobObjectiveMetrics)

A list of the metrics that the alogorithm emits that can be used as the objective metric in a hyperparameter tuning job.

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #supportedTuningJobObjectiveMetrics(List).

Parameters:

supportedTuningJobObjectiveMetrics - a consumer that will call methods on List.Builder

Returns:

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

See Also:

#supportedTuningJobObjectiveMetrics(List)