def test_invalid_normalize():
omnibus.Omnibus(normalize="l2")
omnibus.Omnibus(normalize=None)
omnibus.Omnibus(normalize="max")
with pytest.raises(ValueError):
omnibus.Omnibus(normalize="blah")
def test_fit():
n_components = 2
embedder = omnibus.Omnibus(n_components=n_components)
n_views = 4
n = 25
m = 25
Xs = []
for _ in range(n_views):
X = np.random.rand(n, m)
Xs.append(X)
embedder.fit(Xs)
assert len(embedder.embeddings_ == n_views)
def test_omnibus_embedding_no_normalize():
n_components = 2
embedder = omnibus.Omnibus(n_components=n_components, normalize=None)
n_views = 4
n = 25
m = 25
Xs = []
for _ in range(n_views):
X = np.random.rand(n, m)
Xs.append(X)
embeddings = embedder.fit_transform(Xs)
assert len(embeddings) == n_views
###############################################################################
# Case 1: Two Identical Views
# ---------------------------
# For this setting, we generate two identical numpy matrices as our views.
# Since the information is identical in each view, the resulting embedded views
# should also be similar. We run omnibus on default parameters.
# 100 x 50 matrices
X_1 = np.random.rand(100, 50)
X_2 = X_1.copy()
Xs = [X_1, X_2]
# Running omnibus
embedder = omnibus.Omnibus()
embeddings = embedder.fit_transform(Xs)
###############################################################################
# Visualizing the Results
# ^^^^^^^^^^^^^^^^^^^^^^^
Xhat1, Xhat2 = embeddings
fig, ax = plt.subplots(figsize=(10, 10))
ct = ax.scatter(Xhat1[:, 0],
Xhat1[:, 1],
marker='s',
label='View 1',
cmap="tab10",
s=100)
def test_default_constructor():
omnibus.Omnibus()
def test_embeddings_default_none():
omni = omnibus.Omnibus()
assert omni.embeddings_ == None
def test_invalid_n_iter():
with pytest.raises(ValueError):
omnibus.Omnibus(n_iter=-1)
with pytest.raises(ValueError):
omnibus.Omnibus(n_iter=0)
def test_invalid_algorithm():
omnibus.Omnibus(algorithm="full")
with pytest.raises(ValueError):
omnibus.Omnibus(algorithm="blah")
def test_invalid_metric():
omnibus.Omnibus(distance_metric="yule")
with pytest.raises(ValueError):
omnibus.Omnibus(distance_metric="blah")
def test_invalid_components():
with pytest.raises(ValueError):
omnibus.Omnibus(n_components=-1)
with pytest.raises(ValueError):
omnibus.Omnibus(n_components=0)