| CompilationStep | R Documentation |
Compilation step for workflow.
sagemaker.workflow::Entity -> sagemaker.workflow::Step -> sagemaker.workflow::ConfigurableRetryStep -> CompilationStep
argumentsThe arguments dict that is used to call 'create_compilation_job'. NOTE: The CreateTrainingJob request is not quite the args list that workflow needs. The TrainingJobName and ExperimentConfig attributes cannot be included.
propertiesA Properties object representing the DescribeTrainingJobResponse data model.
new()Construct a CompilationStep. Given an 'EstimatorBase' and a 'sagemaker.model.Model' instance construct a CompilationStep. In addition to the estimator and Model instances, the other arguments are those that are supplied to the 'compile_model' method of the 'sagemaker.model.Model.compile_model'.
CompilationStep$new( name, estimator, model, inputs = NULL, job_arguments = NULL, depends_on = NULL, retry_policies = NULL, display_name = NULL, description = NULL, cache_config = NULL )
name(str): The name of the compilation step.
estimator(EstimatorBase): A 'sagemaker.estimator.EstimatorBase' instance.
model(Model): A 'sagemaker.model.Model' instance.
inputs(CompilationInput): A 'sagemaker.inputs.CompilationInput' instance. Defaults to 'None'.
job_arguments(List[str]): A list of strings to be passed into the processing job. Defaults to 'None'.
depends_on(List[str] or List[Step]): A list of step names or step instances this 'sagemaker.workflow.steps.CompilationStep' depends on
retry_policies(List[RetryPolicy]): A list of retry policy
display_name(str): The display name of the compilation step.
description(str): The description of the compilation step.
cache_config(CacheConfig): A 'sagemaker.workflow.steps.CacheConfig' instance.
to_request()Updates the dictionary with cache configuration.
CompilationStep$to_request()
clone()The objects of this class are cloneable with this method.
CompilationStep$clone(deep = FALSE)
deepWhether to make a deep clone.
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