class_docstr: InverseGaussian exponential family.
  
  INPUTS:
     link      -- a Link instance
     n         -- number of trials for Binomial
class_docstr_tok: ["InverseGaussian","exponential","family",".","INPUTS",":","link","--","a","Link","instance","n","--","number","of","trials","for","Binomial"]
code: def __init__(self, link=L.identity):
      self.n = n
      self.variance = InverseGaussian.variance
      self.link = link
  
imports: import numpy
  from .None import links
  from .None import varfuncs
label_desc: Use image node_id 1 to create a new InverseGaussian object from inherited base classes: Family with example: obj = InverseGaussian(link)