class_docstr: Logarithmic uniform randomly sampled hyperparameter object.
class_docstr_tok: ["Logarithmic","uniform","randomly","sampled","hyperparameter","object","."]
docstr: Return uniformly logarithmic sampled value based on object sampling definitions.
  
  :return: {self.name: random value self.base^[self.min_value, self.max_value)}
docstr_tok: ["Return","uniformly","logarithmic","sampled","value","based","on","object","sampling","definitions",".",":","return",":","{","self.name",":","random","value","self.base^","[","self.min_value",",","self.max_value",")","}"]
code: def get_value(self):
      """
      Return uniformly logarithmic sampled value based on object sampling definitions.
  
      :return: {self.name: random value self.base^[self.min_value, self.max_value)}
      """
      values_dict = super().get_value()
      return {self.name: self.base**v for v in values_dict.values()}
  
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 LogUniformParameterRange obj's underlying member method code with example usage: obj.get_value() and returns: unknown