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TST test_k_means_fit_predict: do not test fit determinism together with predict/labels_ equality #13751

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TST test_k_means_fit_predict: do not test fit determinism together with predict/labels_ equality #13751

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TST do not test fit determinism together with predict/labels_ equality
jnothman Apr 30, 2019
b2a6347
Fix comment
jnothman Apr 30, 2019
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8 changes: 5 additions & 3 deletions sklearn/cluster/tests/test_k_means.py
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Original file line number Diff line number Diff line change
Expand Up @@ -328,7 +328,7 @@ def test_k_means_fortran_aligned_data():
(4, 300, 1e-1), # loose convergence
])
def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
# check that fit.predict gives same result as fit_predict
# check that predict gives same result as fit_predict or labels_
# There's a very small chance of failure with elkan on unstructured dataset
# because predict method uses fast euclidean distances computation which
# may cause small numerical instabilities.
Expand All @@ -342,10 +342,12 @@ def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
tol=tol, max_iter=max_iter, n_jobs=1)

labels_1 = kmeans.fit(X).predict(X)
labels_2 = kmeans.fit_predict(X)
labels_1 = kmeans.fit_predict(X)
labels_2 = kmeans.predict(X)
labels_3 = kmeans.labels_

assert_array_equal(labels_1, labels_2)
assert_array_equal(labels_1, labels_3)


def test_mb_kmeans_verbose():
Expand Down