Uses of Class
software.amazon.awscdk.services.stepfunctions.tasks.SageMakerCreateTrainingJob.Builder

Uses of SageMakerCreateTrainingJob.Builder in software.amazon.awscdk.services.stepfunctions.tasks

Methods in software.amazon.awscdk.services.stepfunctions.tasks that return SageMakerCreateTrainingJob.Builder

Modifier and Type	Method	Description
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.algorithmSpecification(AlgorithmSpecification algorithmSpecification)	Identifies the training algorithm to use.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.comment(String comment)	An optional description for this state.
static SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.create(software.constructs.Construct scope, String id)
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.enableNetworkIsolation(Boolean enableNetworkIsolation)	Isolates the training container.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.environment(Map<String,String> environment)	Environment variables to set in the Docker container.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.heartbeat(software.amazon.awscdk.core.Duration heartbeat)	Timeout for the heartbeat.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.hyperparameters(Map<String,? extends Object> hyperparameters)	Algorithm-specific parameters that influence the quality of the model.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.inputDataConfig(List<? extends Channel> inputDataConfig)	Describes the various datasets (e.g.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.inputPath(String inputPath)	JSONPath expression to select part of the state to be the input to this state.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.integrationPattern(IntegrationPattern integrationPattern)	AWS Step Functions integrates with services directly in the Amazon States Language.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.outputDataConfig(OutputDataConfig outputDataConfig)	Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.outputPath(String outputPath)	JSONPath expression to select select a portion of the state output to pass to the next state.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.resourceConfig(ResourceConfig resourceConfig)	Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.resultPath(String resultPath)	JSONPath expression to indicate where to inject the state's output.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.resultSelector(Map<String,? extends Object> resultSelector)	The JSON that will replace the state's raw result and become the effective result before ResultPath is applied.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.role(IRole role)	Role for the Training Job.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.stoppingCondition(StoppingCondition stoppingCondition)	Sets a time limit for training.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.tags(Map<String,String> tags)	Tags to be applied to the train job.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.timeout(software.amazon.awscdk.core.Duration timeout)	Timeout for the state machine.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.trainingJobName(String trainingJobName)	Training Job Name.
SageMakerCreateTrainingJob.Builder	SageMakerCreateTrainingJob.Builder.vpcConfig(VpcConfig vpcConfig)	Specifies the VPC that you want your training job to connect to.