class_docstr: a class for non-linear monotonic transformation of a continuous random variable
  
      
class_docstr_tok: ["a","class","for","non-linear","monotonic","transformation","of","a","continuous","random","variable"]
code: def _cdf(self, x, *args, **kwargs):
      # print(args
      if not self.decr:
          return self.kls._cdf(self.funcinv(x), *args, **kwargs)
          # note scipy _cdf only take *args not *kwargs
      else:
          return 1.0 - self.kls._cdf(self.funcinv(x), *args, **kwargs)
  
imports: from scipy import stats
  from scipy.stats import distributions
  import numpy
label_desc: Use image node_id 2 for calling the Transf_gen obj's underlying member method code with example usage: obj._cdf(x) and returns: self, unknown