code: def Private(input_dim, num_outputs, kernel, output, kappa=None,name='X'):
      
      K = ICM(input_dim,num_outputs,kernel,W_rank=1,kappa=kappa,name=name)
      K.B.W.fix(0)
      _range = range(num_outputs)
      _range.pop(output)
      for j in _range:
          K.B.kappa[j] = 0
          K.B.kappa[j].fix()
      return K
docs: Builds a kernel for an Intrinsic Coregionalization Model
  
      :input_dim: Input dimensionality
      :num_outputs: Number of outputs
      :param kernel: kernel that will be multiplied by the coregionalize kernel (matrix B).
      :type kernel: a GPy kernel
      :param W_rank: number tuples of the corregionalization parameters 'W'
      :type W_rank: integer