| LambdaStep | R Documentation |
Lambda step for workflow.
sagemaker.workflow::Entity -> sagemaker.workflow::Step -> LambdaStep
argumentsThe arguments dict that is used to define the lambda step.
propertiesA Properties object representing the output parameters of the lambda step.
new()Constructs a LambdaStep.
LambdaStep$new( name, lambda_func, display_name = NULL, description = NULL, inputs = NULL, outputs = NULL, cache_config = NULL, depends_on = NULL )
name(str): The name of the lambda step.
lambda_func(str): An instance of sagemaker.lambda_helper.Lambda. If lambda arn is specified in the instance, LambdaStep just invokes the function, else lambda function will be created while creating the pipeline.
display_name(str): The display name of the Lambda step.
description(str): The description of the Lambda step.
inputs(dict): Input arguments that will be provided to the lambda function.
outputs(List[LambdaOutput]): List of outputs from the lambda function.
cache_config(CacheConfig): A 'sagemaker.workflow.steps.CacheConfig' instance.
depends_on(List[str]): A list of step names this 'sagemaker.workflow.steps.LambdaStep' depends on
to_request()Updates the dictionary with cache configuration.
LambdaStep$to_request()
clone()The objects of this class are cloneable with this method.
LambdaStep$clone(deep = FALSE)
deepWhether to make a deep clone.
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