def test_Kmeans_init():
"""Test Kmeans"""
covset = generate_cov(20, 3)
labels = np.array([0, 1]).repeat(10)
# init
km = Kmeans(2)
# fit
km.fit(covset)
# fit with init
km = Kmeans(2, init=covset[0:2])
km.fit(covset)
# fit with labels
km.fit(covset, y=labels)
# predict
km.predict(covset)
# transform
km.transform(covset)
# n_jobs
km = Kmeans(2, n_jobs=2)
km.fit(covset)
def test_Kmeans_init():
"""Test Kmeans"""
covset = generate_cov(20, 3)
labels = np.array([0, 1]).repeat(10)
# init
km = Kmeans(2)
# fit
km.fit(covset)
# fit with init
km = Kmeans(2, init=covset[0:2])
km.fit(covset)
# fit with labels
km.fit(covset, y=labels)
# predict
km.predict(covset)
# transform
km.transform(covset)
# n_jobs
km = Kmeans(2, n_jobs=2)
km.fit(covset)
def test_Kmeans_transform():
"""Test transform of Kmeans"""
covset = generate_cov(20, 3)
km = Kmeans(2)
km.fit(covset)
km.transform(covset)
def test_Kmeans_transform():
"""Test transform of Kmeans"""
covset = generate_cov(20,3)
km = Kmeans(2)
km.fit(covset)
km.transform(covset)
