class_docstr: Transforms/reverses Continuous variables if on log-scale.
class_docstr_tok: ["Transforms\/reverses","Continuous","variables","if","on","log-scale","."]
code: def to_gpyopt_domain(self):
      return {
          "name": self.parameter.name,
          "type": "continuous",
          "domain": (
              numpy.log10(self.parameter.range[0]),
              numpy.log10(self.parameter.range[1]),
          ),
      }
  
imports: import numpy
  import logging
  import sherpa
  from sherpa.algorithms import Algorithm
  import pandas
  from sherpa.core import Choice, Continuous, Discrete, Ordinal
  import collections
  import GPyOpt
  import GPy
  import warnings
label_desc: Use image node_id 1 for calling the LogContinuousTransform obj's underlying member method code with example usage: obj.to_gpyopt_domain() and returns: dict