class_docstr: String parameter for pipelines.
class_docstr_tok: ["String","parameter","for","pipelines","."]
docstr: Prompt the pipeline to convert the pipeline variable to String in runtime
  
  As ParameterString is treated as String in runtime, no extra actions are needed.
docstr_tok: ["Prompt","the","pipeline","to","convert","the","pipeline","variable","to","String","in","runtime","As","ParameterString","is","treated","as","String","in","runtime",",","no","extra","actions","are","needed","."]
code: def to_string(self) -> PipelineVariable:
      """Prompt the pipeline to convert the pipeline variable to String in runtime
  
      As ParameterString is treated as String in runtime, no extra actions are needed.
      """
      return self
  
imports: from __future__ import absolute_import
  from enum import Enum
  from functools import partial
  from typing import Dict, List, Type
  import attr
  from sagemaker.workflow.entities import DefaultEnumMeta, Entity, PrimitiveType, RequestType, PipelineVariable
label_desc: Use image node_id 3 for calling the ParameterString obj's underlying member method code with example usage: obj.to_string() and returns: self