base_models.py 文件源码

def get_posterior_y(self):
        """Summary

        Returns:
            TYPE: Description
        """
        mx, vx = self.get_posterior_x()
        if self.Dcon_emi > 0:
            mx = np.hstack((mx, self.x_control))
            vx = np.hstack((vx, np.zeros((self.N, self.Dcon_emi))))
        if self.gp_emi:
            mf, vf = self.emi_layer.forward_prop_thru_post(mx, vx)
            my, vyn = self.lik_layer.output_probabilistic(mf, vf)
        else:
            my, vy, vyn = self.emi_layer.output_probabilistic(mx, vx)
            vf = np.diagonal(vy, axis1=1, axis2=2)
            vyn = np.diagonal(vyn, axis1=1, axis2=2)
        return my, vf, vyn