class_docstr: The base hyperparameter optimization object.
class_docstr_tok: ["The","base","hyperparameter","optimization","object","."]
docstr: Return a dict with the Parameter name and a sampled value for the Parameter.
  
  :return:
  
      For example:
  
      .. code-block:: py
  
          {'answer': 0.42}
docstr_tok: ["Return","a","dict","with","the","Parameter","name","and","a","sampled","value","for","the","Parameter",".",":","return",":","For","example",":","..","code-block",":",":","py","{","'answer","'",":","0.42","}"]
code: def get_value(self):
      # type: () -> Mapping[str, Any]
      """
      Return a dict with the Parameter name and a sampled value for the Parameter.
  
      :return:
  
          For example:
  
          .. code-block:: py
  
              {'answer': 0.42}
  
      """
      pass
  
imports: import sys
  from itertools import product
  from random import Random
  from typing import Mapping, Any, Sequence, Optional, Union
label_desc: Use image node_id 2 for calling the Parameter obj's underlying member method code with example usage: obj.get_value() without return types