class_docstr: The log transform as a link function:
  
  g(x) = log(x)
docstr: Inverse of log transform
  
  g(x) = exp(x)
  
  INPUTS:
     z   -- linear predictors in GLM
  
  OUTPUTS: x
     x   -- exp(z)
docstr_tok: ["Inverse","of","log","transform","g","(","x",")","=","exp","(","x",")","INPUTS",":","z","--","linear","predictors","in","GLM","OUTPUTS",":","x","x","--","exp","(","z",")"]
code: def inverse(self, z):
      """
      Inverse of log transform
  
      g(x) = exp(x)
  
      INPUTS:
         z   -- linear predictors in GLM
  
      OUTPUTS: x
         x   -- exp(z)
  
      """
      return np.exp(z)
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 3 for calling the Log obj's underlying member method code with example usage: obj.inverse(z) and returns: np