class_docstr: Transforms/reverses Continuous variables if on log-scale.
class_docstr_tok: ["Transforms\/reverses","Continuous","variables","if","on","log-scale","."]
code: def sherpa_format_to_gpyopt_design_format(self, x):
      return numpy.log10(x)
  
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 3 for calling the LogContinuousTransform obj's underlying member method code with example usage: obj.sherpa_format_to_gpyopt_design_format(x) and returns: numpy