| TransformStep | R Documentation |
Transform step for workflow.
sagemaker.workflow::Entity -> sagemaker.workflow::Step -> sagemaker.workflow::ConfigurableRetryStep -> TransformStep
argumentsThe arguments dict that is used to call 'create_transform_job'. NOTE: The CreateTransformJob request is not quite the args list that workflow needs. TransformJobName and ExperimentConfig cannot be included in the arguments.
propertiesA Properties object representing the DescribeTransformJobResponse data model.
new()Constructs a TransformStep, given an 'Transformer' instance. In addition to the transformer instance, the other arguments are those that are supplied to the 'transform' method of the 'sagemaker.transformer.Transformer'.
TransformStep$new( name, transformer, inputs, display_name = NULL, description = NULL, cache_config = NULL, depends_on = NULL, retry_policies = NULL )
name(str): The name of the transform step.
transformer(Transformer): A 'sagemaker.transformer.Transformer' instance.
inputs(TransformInput): A 'sagemaker.inputs.TransformInput' instance.
display_name(str): The display name of the transform step.
description(str): The description of the transform step.
cache_config(CacheConfig): A 'sagemaker.workflow.steps.CacheConfig' instance.
depends_on(List[str]): A list of step names this 'sagemaker.workflow.steps.TransformStep' depends on.
retry_policies(List[RetryPolicy]): A list of retry policy
to_request()Updates the dictionary with cache configuration.
TransformStep$to_request()
clone()The objects of this class are cloneable with this method.
TransformStep$clone(deep = FALSE)
deepWhether to make a deep clone.
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