FITC_network.py 文件源码

def get_hypers(self):
        params = {'ls': [],
                  'sf': [],
                  'zu': [],
                  'sn': [],
                  'eta1_R': [],
                  'eta2': []}
        for i in range(self.no_layers):
            Mi = self.no_pseudos[i]
            Dini = self.layer_sizes[i]
            Douti = self.layer_sizes[i+1]
            params['ls'].append(self.ls[i])
            params['sf'].append(self.sf[i])
            if not (self.no_output_noise and (i == self.no_layers-1)):
                params['sn'].append(self.sn[i])
            triu_ind = np.triu_indices(Mi)
            diag_ind = np.diag_indices(Mi)
            params_zu_i = []
            params_eta2_i = []
            params_eta1_Ri = []
            if self.zu_tied:
                params_zu_i = self.zu[i]
            else:
                for d in range(Douti):
                    params_zu_i.append(self.zu[i][d])

            for d in range(Douti):
                params_eta2_i.append(self.theta_2[i][d])
                Rd = self.theta_1_R[i][d]
                Rd[diag_ind] = np.log(Rd[diag_ind])
                params_eta1_Ri.append(Rd[triu_ind].reshape((Mi*(Mi+1)/2,)))

            params['zu'].append(params_zu_i)
            params['eta1_R'].append(params_eta1_Ri)
            params['eta2'].append(params_eta2_i)
        return params