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Update src/stepfunctions/steps/sagemaker.py parameters description
Co-authored-by: Adam Wong <[email protected]>
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src/stepfunctions/steps/sagemaker.py

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@@ -503,10 +503,9 @@ def __init__(self, state_id, processor, job_name, inputs=None, outputs=None, exp
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The KmsKeyId is applied to all outputs.
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wait_for_completion (bool, optional): Boolean value set to `True` if the Task state should wait for the processing job to complete before proceeding to the next step in the workflow. Set to `False` if the Task state should submit the processing job and proceed to the next step. (default: True)
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tags (list[dict] or Placeholder, optional): `List to tags <https://docs.aws.amazon.com/sagemaker/latest/dg/API_Tag.html>`_ to associate with the resource.
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parameters(dict, optional): The value of this field becomes the request for the
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`CreateProcessingJob<https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html>`_ created by the processing step.
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All parameters fields are compatible with `Placeholders<https://aws-step-functions-data-science-sdk.readthedocs.io/en/stable/placeholders.html?highlight=placeholder#stepfunctions.inputs.Placeholder>`_.
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Any value defined in the parameters argument will overwrite the ones defined in the other arguments, including properties that were previously defined in the processor.
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parameters(dict, optional): The value of this field is merged with other arguments to become the request payload for SageMaker `CreateProcessingJob<https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html>`_.
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You can use `parameters` to override the value provided by other arguments and specify any field's value dynamically using `Placeholders<https://aws-step-functions-data-science-sdk.readthedocs.io/en/stable/placeholders.html?highlight=placeholder#stepfunctions.inputs.Placeholder>`_.
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"""
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if wait_for_completion:
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"""

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