class_docstr: The logit transform as a link function:
  
  g'(x) = 1 / (x * (1 - x))
  g^(-1)(x) = exp(x)/(1 + exp(x))
docstr: Clip logistic values to range (tol, 1-tol)
  
  INPUTS:
     p     -- probabilities
  
  OUTPUTS: pclip
     pclip -- clipped probabilities
docstr_tok: ["Clip","logistic","values","to","range","(","tol",",","1-tol",")","INPUTS",":","p","--","probabilities","OUTPUTS",":","pclip","pclip","--","clipped","probabilities"]
code: def clean(self, p):
      """
      Clip logistic values to range (tol, 1-tol)
  
      INPUTS:
         p     -- probabilities
  
      OUTPUTS: pclip
         pclip -- clipped probabilities
      """
  
      return np.clip(p, Logit.tol, 1.0 - Logit.tol)
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 1 for calling the Logit obj's underlying member method code with example usage: obj.clean(p) and returns: np