Package software.amazon.awscdk.services.stepfunctions.tasks

Class SageMakerCreateTrainingJob.Builder

java.lang.Object
software.amazon.awscdk.services.stepfunctions.tasks.SageMakerCreateTrainingJob.Builder
All Implemented Interfaces:
software.amazon.jsii.Builder<SageMakerCreateTrainingJob>
Enclosing class:
SageMakerCreateTrainingJob
@Stability(Stable) public static final class SageMakerCreateTrainingJob.Builder extends Object implements software.amazon.jsii.Builder<SageMakerCreateTrainingJob>
A fluent builder for SageMakerCreateTrainingJob.

  • Method Details

    • create

      @Stability(Stable) public static SageMakerCreateTrainingJob.Builder create(software.constructs.Construct scope, String id)
      Parameters:
      scope - This parameter is required.
      id - This parameter is required.
      Returns:
      a new instance of SageMakerCreateTrainingJob.Builder.

    • comment

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder comment(String comment)
      An optional description for this state.

      Default: - No comment

      Parameters:
      comment - An optional description for this state. This parameter is required.
      Returns:
      this

    • heartbeat

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder heartbeat(Duration heartbeat)
      Timeout for the heartbeat.

      Default: - None

      Parameters:
      heartbeat - Timeout for the heartbeat. This parameter is required.
      Returns:
      this

    • inputPath

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder inputPath(String inputPath)
      JSONPath expression to select part of the state to be the input to this state.

      May also be the special value JsonPath.DISCARD, which will cause the effective input to be the empty object {}.

      Default: - The entire task input (JSON path '$')

      Parameters:
      inputPath - JSONPath expression to select part of the state to be the input to this state. This parameter is required.
      Returns:
      this

    • integrationPattern

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder integrationPattern(IntegrationPattern integrationPattern)
      AWS Step Functions integrates with services directly in the Amazon States Language.

      You can control these AWS services using service integration patterns

      Default: - `IntegrationPattern.REQUEST_RESPONSE` for most tasks. `IntegrationPattern.RUN_JOB` for the following exceptions: `BatchSubmitJob`, `EmrAddStep`, `EmrCreateCluster`, `EmrTerminationCluster`, and `EmrContainersStartJobRun`.

      Parameters:
      integrationPattern - AWS Step Functions integrates with services directly in the Amazon States Language. This parameter is required.
      Returns:
      this
      See Also:

    • outputPath

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder outputPath(String outputPath)
      JSONPath expression to select select a portion of the state output to pass to the next state.

      May also be the special value JsonPath.DISCARD, which will cause the effective output to be the empty object {}.

      Default: - The entire JSON node determined by the state input, the task result, and resultPath is passed to the next state (JSON path '$')

      Parameters:
      outputPath - JSONPath expression to select select a portion of the state output to pass to the next state. This parameter is required.
      Returns:
      this

    • resultPath

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder resultPath(String resultPath)
      JSONPath expression to indicate where to inject the state's output.

      May also be the special value JsonPath.DISCARD, which will cause the state's input to become its output.

      Default: - Replaces the entire input with the result (JSON path '$')

      Parameters:
      resultPath - JSONPath expression to indicate where to inject the state's output. This parameter is required.
      Returns:
      this

    • resultSelector

      @Stability(Stable) public 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.

      You can use ResultSelector to create a payload with values that are static or selected from the state's raw result.

      Default: - None

      Parameters:
      resultSelector - The JSON that will replace the state's raw result and become the effective result before ResultPath is applied. This parameter is required.
      Returns:
      this
      See Also:

    • timeout

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder timeout(Duration timeout)
      Timeout for the state machine.

      Default: - None

      Parameters:
      timeout - Timeout for the state machine. This parameter is required.
      Returns:
      this

    • algorithmSpecification

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder algorithmSpecification(AlgorithmSpecification algorithmSpecification)
      Identifies the training algorithm to use.

      Parameters:
      algorithmSpecification - Identifies the training algorithm to use. This parameter is required.
      Returns:
      this

    • inputDataConfig

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder inputDataConfig(List<? extends Channel> inputDataConfig)
      Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.

      Parameters:
      inputDataConfig - Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored. This parameter is required.
      Returns:
      this

    • outputDataConfig

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder outputDataConfig(OutputDataConfig outputDataConfig)
      Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.

      Parameters:
      outputDataConfig - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training. This parameter is required.
      Returns:
      this

    • trainingJobName

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder trainingJobName(String trainingJobName)
      Training Job Name.

      Parameters:
      trainingJobName - Training Job Name. This parameter is required.
      Returns:
      this

    • enableNetworkIsolation

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder enableNetworkIsolation(Boolean enableNetworkIsolation)
      Isolates the training container.

      No inbound or outbound network calls can be made to or from the training container.

      Default: false

      Parameters:
      enableNetworkIsolation - Isolates the training container. This parameter is required.
      Returns:
      this

    • environment

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder environment(Map<String,String> environment)
      Environment variables to set in the Docker container.

      Default: - No environment variables

      Parameters:
      environment - Environment variables to set in the Docker container. This parameter is required.
      Returns:
      this

    • hyperparameters

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder hyperparameters(Map<String,? extends Object> hyperparameters)
      Algorithm-specific parameters that influence the quality of the model.

      Set hyperparameters before you start the learning process. For a list of hyperparameters provided by Amazon SageMaker

      Default: - No hyperparameters

      Parameters:
      hyperparameters - Algorithm-specific parameters that influence the quality of the model. This parameter is required.
      Returns:
      this
      See Also:

    • resourceConfig

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder resourceConfig(ResourceConfig resourceConfig)
      Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.

      Default: - 1 instance of EC2 `M4.XLarge` with `10GB` volume

      Parameters:
      resourceConfig - Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training. This parameter is required.
      Returns:
      this

    • role

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder role(IRole role)
      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 will be created.

      Parameters:
      role - Role for the Training Job. This parameter is required.
      Returns:
      this

    • stoppingCondition

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder stoppingCondition(StoppingCondition stoppingCondition)
      Sets a time limit for training.

      Default: - max runtime of 1 hour

      Parameters:
      stoppingCondition - Sets a time limit for training. This parameter is required.
      Returns:
      this

    • tags

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder tags(Map<String,String> tags)
      Tags to be applied to the train job.

      Default: - No tags

      Parameters:
      tags - Tags to be applied to the train job. This parameter is required.
      Returns:
      this

    • vpcConfig

      @Stability(Stable) public SageMakerCreateTrainingJob.Builder vpcConfig(VpcConfig vpcConfig)
      Specifies the VPC that you want your training job to connect to.

      Default: - No VPC

      Parameters:
      vpcConfig - Specifies the VPC that you want your training job to connect to. This parameter is required.
      Returns:
      this

    • build

      @Stability(Stable) public SageMakerCreateTrainingJob build()
      Specified by:
      build in interface software.amazon.jsii.Builder<SageMakerCreateTrainingJob>
      Returns:
      a newly built instance of SageMakerCreateTrainingJob.