def test_posterior(self): """Check the posterior over weights function finds the minimum.""" clf = RVC() x = np.array([[1, 2], [3, 4]]) y = np.array([[5, 6], [7, 8]]) clf.phi = clf._apply_kernel(x, y) clf.alpha_ = np.ones(3) clf.m_ = np.ones(3) clf.t = np.array([1, 0]) clf.beta_ = None clf._posterior() m_target = np.array([-9.157e-03, -5.049e-08, 2.794e-05]) sigma_target = np.array([ [1, -4.294e-10, -3.052e-03], [-4.294e-10, 1, -1.875e-08], [-3.052e-03, -1.875e-08, 6.667e-01] ]) np.testing.assert_allclose(clf.m_, m_target, rtol=1e-3) np.testing.assert_allclose(clf.sigma_, sigma_target, rtol=1e-3)