Uses of Class
software.amazon.awscdk.services.stepfunctions.tasks.SageMakerCreateTrainingJob.Builder
Packages that use SageMakerCreateTrainingJob.Builder
Package
Description
Tasks for AWS Step Functions
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Uses of SageMakerCreateTrainingJob.Builder in software.amazon.awscdk.services.stepfunctions.tasks
Methods in software.amazon.awscdk.services.stepfunctions.tasks that return SageMakerCreateTrainingJob.BuilderModifier and TypeMethodDescriptionSageMakerCreateTrainingJob.Builder.algorithmSpecification(AlgorithmSpecification algorithmSpecification) Identifies the training algorithm to use.Workflow variables to store in this step.A comment describing this state.SageMakerCreateTrainingJob.Builder.credentials(Credentials credentials) Credentials for an IAM Role that the State Machine assumes for executing the task.SageMakerCreateTrainingJob.Builder.enableNetworkIsolation(Boolean enableNetworkIsolation) Isolates the training container.SageMakerCreateTrainingJob.Builder.environment(Map<String, String> environment) Environment variables to set in the Docker container.Deprecated.SageMakerCreateTrainingJob.Builder.heartbeatTimeout(Timeout heartbeatTimeout) Timeout for the heartbeat.SageMakerCreateTrainingJob.Builder.hyperparameters(Map<String, ? extends Object> hyperparameters) Algorithm-specific parameters that influence the quality of the model.SageMakerCreateTrainingJob.Builder.inputDataConfig(List<? extends Channel> inputDataConfig) Describes the various datasets (e.g.JSONPath expression to select part of the state to be the input to this state.SageMakerCreateTrainingJob.Builder.integrationPattern(IntegrationPattern integrationPattern) AWS Step Functions integrates with services directly in the Amazon States Language.SageMakerCreateTrainingJob.Builder.outputDataConfig(OutputDataConfig outputDataConfig) Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.SageMakerCreateTrainingJob.Builder.outputPath(String outputPath) JSONPath expression to select part of the state to be the output to this state.Used to specify and transform output from the state.SageMakerCreateTrainingJob.Builder.queryLanguage(QueryLanguage queryLanguage) The name of the query language used by the state.SageMakerCreateTrainingJob.Builder.resourceConfig(ResourceConfig resourceConfig) Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.SageMakerCreateTrainingJob.Builder.resultPath(String resultPath) JSONPath expression to indicate where to inject the state's output.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.Role for the Training Job.Optional name for this state.SageMakerCreateTrainingJob.Builder.stoppingCondition(StoppingCondition stoppingCondition) Sets a time limit for training.Tags to be applied to the train job.SageMakerCreateTrainingJob.Builder.taskTimeout(Timeout taskTimeout) Timeout for the task.Deprecated.usetaskTimeoutSageMakerCreateTrainingJob.Builder.trainingJobName(String trainingJobName) Training Job Name.Specifies the VPC that you want your training job to connect to.
heartbeatTimeout