class_docstr: The log transform as a link function:
  
  g(x) = log(x)
docstr: Derivative of log transform
  
  g(x) = 1/x
  
  INPUTS:
     x   -- mean parameters
  
  OUTPUTS: z
     z   -- derivative of log transform of x
docstr_tok: ["Derivative","of","log","transform","g","(","x",")","=","1\/x","INPUTS",":","x","--","mean","parameters","OUTPUTS",":","z","z","--","derivative","of","log","transform","of","x"]
code: def deriv(self, x):
      """
      Derivative of log transform
  
      g(x) = 1/x
  
      INPUTS:
         x   -- mean parameters
  
      OUTPUTS: z
         z   -- derivative of log transform of x
  
      """
  
      x = self.clean(x)
      return 1.0 / x
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 4 for calling the Log obj's underlying member method code with example usage: obj.deriv(x) and returns: unknown