class_docstr: Distribution based on log/exp transformation
  
  the constructor can be called with a distribution class
  and generates the distribution of the transformed random variable
class_docstr_tok: ["Distribution","based","on","log\/exp","transformation","the","constructor","can","be","called","with","a","distribution","class","and","generates","the","distribution","of","the","transformed","random","variable"]
code: def _cdf(self, x, *args):
      # print(args
      return self.kls._cdf(np.exp(x), *args)
  
imports: from scipy import stats
  from scipy.stats import distributions
  import numpy
label_desc: Use image node_id 2 for calling the LogTransf_gen obj's underlying member method code with example usage: obj._cdf(x) and returns: self