class_docstr: The use the CDF of a scipy.stats distribution as a link function:
  
  g(x) = dbn.ppf(x)
docstr: Derivative of CDF link
  
  g(z) = self.dbn.cdf(z)
  
  INPUTS:
     z   -- linear predictors in GLM
  
  OUTPUTS: p
     p   -- inverse of CDF link of z
docstr_tok: ["Derivative","of","CDF","link","g","(","z",")","=","self.dbn.cdf","(","z",")","INPUTS",":","z","--","linear","predictors","in","GLM","OUTPUTS",":","p","p","--","inverse","of","CDF","link","of","z"]
code: def inverse(self, z):
      """
      Derivative of CDF link
  
      g(z) = self.dbn.cdf(z)
  
      INPUTS:
         z   -- linear predictors in GLM
  
      OUTPUTS: p
         p   -- inverse of CDF link of z
  
      """
      return self.dbn.cdf(z)
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 3 for calling the CDFLink obj's underlying member method code with example usage: obj.inverse(z) and returns: self