def _test_output_dim(self, method, *args, **kwargs):
n_components = 4
embed = method(n_components=n_components)
n = 10
M = 20
A = er_nm(n, M) + 5
embed._reduce_dim(A)
self.assertEqual(embed.latent_left_.shape, (n, 4))
self.assertTrue(embed.latent_right_ is None)
def test_baseembed_er(self):
n_components = 4
embed = BaseEmbed(n_components=n_components)
n = 10
M = 20
A = er_nm(n, M) + 5
embed._reduce_dim(A)
self.assertEqual(embed.latent_left_.shape, (n, n_components))
self.assertTrue(embed.latent_right_ is None)
def test_omni_unconnected():
np.random.seed(4)
n = 100
m = 50
graphs = [er_nm(n, m) for _ in range(2)]
omni = OmnibusEmbed()
with pytest.warns(UserWarning):
omni.fit(graphs)
def test_unconnected_warning(self):
A = er_nm(100, 10)
with self.assertWarns(UserWarning):
ase = AdjacencySpectralEmbed()
ase.fit(A)
def test_baseembed(self):
embed = BaseEmbed(n_components=None)
n = 10
M = 20
A = er_nm(n, M) + 5
embed._reduce_dim(A)