class_docstr: Specifies the parameters for a DP mechanism.
  
  MechanismType defines the kind of noise distribution.
  _noise_standard_deviation is the minimized noise standard deviation.
  (_eps, _delta) are parameters of (eps, delta)-differential privacy
class_docstr_tok: ["Specifies","the","parameters","for","a","DP","mechanism",".","MechanismType","defines","the","kind","of","noise","distribution",".","_noise_standard_deviation","is","the","minimized","noise","standard","deviation",".","(","_eps",",","_delta",")","are","parameters","of","(","eps",",","delta",")","-differential","privacy"]
code: def set_noise_standard_deviation(self, stddev: float):
      self._noise_standard_deviation = stddev
  
imports: import abc
  import collections
  import logging
  import math
  from typing import Optional
  from dataclasses import dataclass
  import pipeline_dp.aggregate_params
  from pipeline_dp import input_validators
label_desc: Use image node_id 6 for calling the MechanismSpec obj's underlying member method code with example usage: obj.set_noise_standard_deviation(stddev) without return types