class_docstr: This class represent a multi-class inverse-link function. Given a vector
  :math:`f=[f_1, f_2, ... f_k]`, the result of the mapping is
  
  .. math::
  
     y = [y_1 ... y_k]
  
  with
  
  .. math::
  
     y_i = \left\{
     \begin{array}{ll}
         (1-\varepsilon)   & \textrm{if} \ i = \textrm{argmax}(f) \\
         \varepsilon/(k-1) & \textrm{otherwise}
     \end{array}
     \right.
  
  where :math:`k` is the number of classes.
class_docstr_tok: ["This","class","represent","a","multi-class","inverse-link","function",".","Given","a","vector",":","math",":","`","f=","[","f_1",",","f_2",",","...","f_k","]","`",",","the","result","of","the","mapping","is","..","math",":",":","y","=","[","y_1","...","y_k","]","with","..","math",":",":","y_i","=","\\left\\","{","\\begin","{","array","}","{","ll","}","(","1-\\varepsilon",")","&","\\textrm","{","if","}","\\","i","=","\\textrm","{","argmax","}","(","f",")","\\\\","\\varepsilon\/","(","k-1",")","&","\\textrm","{","otherwise","}","\\end","{","array","}","\\right",".","where",":","math",":","`","k","`","is","the","number","of","classes","."]
code: def eps_k1(self) -> tf.Tensor:
      return self.epsilon / (self.num_classes - 1.0)
  
imports: from typing import Any, Optional
  import numpy
  import tensorflow
  import tensorflow_probability
  from check_shapes import check_shapes, inherit_check_shapes
  from ..base import MeanAndVariance, Module, Parameter, TensorType
  from ..config import default_float
  from ..quadrature import hermgauss
  from ..utilities import to_default_float, to_default_int
  from .base import Likelihood, MonteCarloLikelihood
label_desc: Use image node_id 3 for calling the RobustMax obj's underlying member method code with example usage: obj.eps_k1() and returns: unknown