base_models.py 文件源码

def update_hypers(self, params, key_suffix=''):
        """Summary

        Args:
            params (TYPE): Description
            key_suffix (str, optional): Description
        """
        M = self.M
        self.ls = params['ls' + key_suffix]
        self.sf = params['sf' + key_suffix]
        triu_ind = np.triu_indices(M)
        diag_ind = np.diag_indices(M)
        zu = params['zu' + key_suffix]
        self.zu = zu

        for d in range(self.Dout):
            theta_m_d = params['eta2' + key_suffix][d, :]
            theta_R_d = params['eta1_R' + key_suffix][d, :]
            R = np.zeros((M, M))
            R[triu_ind] = np.copy(theta_R_d.reshape(theta_R_d.shape[0], ))
            R[diag_ind] = np.exp(R[diag_ind])
            self.theta_1_R[d, :, :] = R
            self.theta_1[d, :, :] = np.dot(R.T, R)
            self.theta_2[d, :] = theta_m_d

        # update Kuu given new hypers
        self.compute_kuu()
        # compute mu and Su for each layer
        self.update_posterior()