class_docstr: Reference to pipeline experiment config property.
class_docstr_tok: ["Reference","to","pipeline","experiment","config","property","."]
docstr: Create a reference to pipeline experiment property.
  
  Args:
      name (str): The name of the pipeline experiment config property.
docstr_tok: ["Create","a","reference","to","pipeline","experiment","property",".","Args",":","name","(","str",")",":","The","name","of","the","pipeline","experiment","config","property","."]
code: def __init__(self, name: str):
      """Create a reference to pipeline experiment property.
  
      Args:
          name (str): The name of the pipeline experiment config property.
      """
      super(PipelineExperimentConfigProperty, self).__init__()
      self.name = name
  
file_path: sagemaker-python-sdk/src/sagemaker/workflow/pipeline_experiment_config.py
imports: from __future__ import absolute_import
  from typing import Union
  from sagemaker.workflow.parameters import Parameter
  from sagemaker.workflow.execution_variables import ExecutionVariable
  from sagemaker.workflow.entities import Entity, Expression, RequestType
label_desc: Use image node_id 1 to create a new PipelineExperimentConfigProperty object from inherited base classes: Expression with example: obj = PipelineExperimentConfigProperty(name)