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)
