test_spectral_embedding.py 文件源码

def test_spectral_embedding_precomputed_affinity(seed=36):
    # Test spectral embedding with precomputed kernel
    gamma = 1.0
    se_precomp = SpectralEmbedding(n_components=2, affinity="precomputed",
                                   random_state=np.random.RandomState(seed))
    se_rbf = SpectralEmbedding(n_components=2, affinity="rbf",
                               gamma=gamma,
                               random_state=np.random.RandomState(seed))
    embed_precomp = se_precomp.fit_transform(rbf_kernel(S, gamma=gamma))
    embed_rbf = se_rbf.fit_transform(S)
    assert_array_almost_equal(
        se_precomp.affinity_matrix_, se_rbf.affinity_matrix_)
    assert_true(_check_with_col_sign_flipping(embed_precomp, embed_rbf, 0.05))