software.amazon.awscdk.services.stepfunctions.tasks

Class SagemakerTrainTaskProps.Builder

java.lang.Object

software.amazon.awscdk.services.stepfunctions.tasks.SagemakerTrainTaskProps.Builder

Enclosing interface:

SagemakerTrainTaskProps

@Stability(value=Experimental)
public static final class SagemakerTrainTaskProps.Builder
extends Object

A builder for SagemakerTrainTaskProps

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
SagemakerTrainTaskProps	build() Builds the configured instance.
SagemakerTrainTaskProps.Builder	withAlgorithmSpecification(AlgorithmSpecification value) Sets the value of AlgorithmSpecification
SagemakerTrainTaskProps.Builder	withHyperparameters(Map<String,Object> value) Sets the value of Hyperparameters
SagemakerTrainTaskProps.Builder	withInputDataConfig(List<Channel> value) Sets the value of InputDataConfig
SagemakerTrainTaskProps.Builder	withOutputDataConfig(OutputDataConfig value) Sets the value of OutputDataConfig
SagemakerTrainTaskProps.Builder	withResourceConfig(ResourceConfig value) Sets the value of ResourceConfig
SagemakerTrainTaskProps.Builder	withRole(software.amazon.awscdk.services.iam.IRole value) Sets the value of Role
SagemakerTrainTaskProps.Builder	withStoppingCondition(StoppingCondition value) Sets the value of StoppingCondition
SagemakerTrainTaskProps.Builder	withSynchronous(Boolean value) Sets the value of Synchronous
SagemakerTrainTaskProps.Builder	withTags(Map<String,Object> value) Sets the value of Tags
SagemakerTrainTaskProps.Builder	withTrainingJobName(String value) Sets the value of TrainingJobName
SagemakerTrainTaskProps.Builder	withVpcConfig(VpcConfig value) Sets the value of VpcConfig

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

withAlgorithmSpecification

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withAlgorithmSpecification(AlgorithmSpecification value)

Sets the value of AlgorithmSpecification

Parameters:

value - Identifies the training algorithm to use.

Returns:

this

withInputDataConfig

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withInputDataConfig(List<Channel> value)

Sets the value of InputDataConfig

Parameters:

value - Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.

Returns:

this

withOutputDataConfig

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withOutputDataConfig(OutputDataConfig value)

Sets the value of OutputDataConfig

Parameters:

value - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.

Returns:

this

withTrainingJobName

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withTrainingJobName(String value)

Sets the value of TrainingJobName

Parameters:

value - Training Job Name.

Returns:

this

withHyperparameters

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withHyperparameters(@Nullable
                                                                                          Map<String,Object> value)

Sets the value of Hyperparameters

Parameters:

value - Hyperparameters to be used for the train job.

Returns:

this

withResourceConfig

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withResourceConfig(@Nullable
                                                                                         ResourceConfig value)

Sets the value of ResourceConfig

Parameters:

value - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training.

Returns:

this

withRole

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withRole(@Nullable
                                                                               software.amazon.awscdk.services.iam.IRole value)

Sets the value of Role

Parameters:

value - Role for the Training Job.

Returns:

this

withStoppingCondition

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withStoppingCondition(@Nullable
                                                                                            StoppingCondition value)

Sets the value of StoppingCondition

Parameters:

value - Sets a time limit for training.

Returns:

this

withSynchronous

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withSynchronous(@Nullable
                                                                                      Boolean value)

Sets the value of Synchronous

Parameters:

value - Specify if the task is synchronous or asychronous.

Returns:

this

withTags

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withTags(@Nullable
                                                                               Map<String,Object> value)

Sets the value of Tags

Parameters:

value - Tags to be applied to the train job.

Returns:

this

withVpcConfig

@Stability(value=Experimental)
public SagemakerTrainTaskProps.Builder withVpcConfig(@Nullable
                                                                                    VpcConfig value)

Sets the value of VpcConfig

Parameters:

value - Specifies the VPC that you want your training job to connect to.

Returns:

this

build

@Stability(value=Experimental)
public SagemakerTrainTaskProps build()

Builds the configured instance.

Returns:

a new instance of SagemakerTrainTaskProps

Throws:

NullPointerException - if any required attribute was not provided