test_gmm.py 文件源码

def test_1d_1component():
    # Test all of the covariance_types return the same BIC score for
    # 1-dimensional, 1 component fits.
    n_samples, n_dim, n_components = 100, 1, 1
    X = rng.randn(n_samples, n_dim)
    g_full = mixture.GMM(n_components=n_components, covariance_type='full',
                         random_state=rng, min_covar=1e-7, n_iter=1)
    g_full.fit(X)
    g_full_bic = g_full.bic(X)
    for cv_type in ['tied', 'diag', 'spherical']:
        g = mixture.GMM(n_components=n_components, covariance_type=cv_type,
                        random_state=rng, min_covar=1e-7, n_iter=1)
        g.fit(X)
        assert_array_almost_equal(g.bic(X), g_full_bic)