software.amazon.awscdk.services.stepfunctions.tasks

Interface SagemakerTrainTaskProps

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Implementing Classes:

SagemakerTrainTaskProps.Jsii$Proxy

@Generated(value="jsii-pacmak/0.13.3 (build 3624e0f)",
           date="2019-07-04T19:44:32.572Z")
 @Stability(value=Experimental)
public interface SagemakerTrainTaskProps
extends software.amazon.jsii.JsiiSerializable

EXPERIMENTAL

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	SagemakerTrainTaskProps.Builder A builder for SagemakerTrainTaskProps
static class	SagemakerTrainTaskProps.Jsii$Proxy A proxy class which represents a concrete javascript instance of this type.

Method Summary

Modifier and Type	Method and Description
static SagemakerTrainTaskProps.Builder	builder()
AlgorithmSpecification	getAlgorithmSpecification() Identifies the training algorithm to use.
Map<String,Object>	getHyperparameters() Hyperparameters to be used for the train job.
List<Channel>	getInputDataConfig() Describes the various datasets (e.g.
OutputDataConfig	getOutputDataConfig() Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
ResourceConfig	getResourceConfig() Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
software.amazon.awscdk.services.iam.IRole	getRole() Role for the Training Job.
StoppingCondition	getStoppingCondition() Sets a time limit for training.
Boolean	getSynchronous() Specify if the task is synchronous or asychronous.
Map<String,Object>	getTags() Tags to be applied to the train job.
String	getTrainingJobName() Training Job Name.
VpcConfig	getVpcConfig() Specifies the VPC that you want your training job to connect to.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getAlgorithmSpecification

@Stability(value=Experimental)
AlgorithmSpecification getAlgorithmSpecification()

Identifies the training algorithm to use. EXPERIMENTAL

getInputDataConfig

@Stability(value=Experimental)
List<Channel> getInputDataConfig()

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

getOutputDataConfig

@Stability(value=Experimental)
OutputDataConfig getOutputDataConfig()

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

getTrainingJobName

@Stability(value=Experimental)
String getTrainingJobName()

Training Job Name. EXPERIMENTAL

getHyperparameters

@Stability(value=Experimental)
Map<String,Object> getHyperparameters()

Hyperparameters to be used for the train job. EXPERIMENTAL

getResourceConfig

@Stability(value=Experimental)
ResourceConfig getResourceConfig()

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

getRole

@Stability(value=Experimental)
software.amazon.awscdk.services.iam.IRole getRole()

Role for the Training Job. The role must be granted all necessary permissions for the SageMaker training job to be able to operate. See https://docs.aws.amazon.com/fr_fr/sagemaker/latest/dg/sagemaker-roles.html#sagemaker-roles-createtrainingjob-perms Default: - a role with appropriate permissions will be created. EXPERIMENTAL

getStoppingCondition

@Stability(value=Experimental)
StoppingCondition getStoppingCondition()

Sets a time limit for training. EXPERIMENTAL

getSynchronous

@Stability(value=Experimental)
Boolean getSynchronous()

Specify if the task is synchronous or asychronous. Default: false EXPERIMENTAL

getTags

@Stability(value=Experimental)
Map<String,Object> getTags()

Tags to be applied to the train job. EXPERIMENTAL

getVpcConfig

@Stability(value=Experimental)
VpcConfig getVpcConfig()

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

builder

@Stability(value=Experimental)
static SagemakerTrainTaskProps.Builder builder()

Returns:

a SagemakerTrainTaskProps.Builder of SagemakerTrainTaskProps