def _update_inernal(self, varp_list):
        # The probability for the binary variable for the same latent dimension of any of the models is on.
        self._b_prob_all = 1.-param_to_array(varp_list[0].gamma_group)
        [np.multiply(self._b_prob_all, 1.-vp.gamma_group, self._b_prob_all) for vp in varp_list[1:]]
Make an update of the internal status by gathering the variational posteriors for all the individual models.
dataset/ETHPy150Open SheffieldML/GPy/GPy/models/ss_mrd.py/IBPPrior_SSMRD._update_inernal