3250ffb785fed45712868fd618929a3015639b1c,sklearn/cluster/tests/test_k_means.py,,test_weighted_vs_repeated,#,802

Before Change

    rng = np.random.RandomState(0)
    sample_weight = rng.randint(1, 5, size=n_samples)
    X_repeat = np.repeat(X, sample_weight, axis=0)
    estimators = [KMeans(init="k-means++", n_clusters=n_clusters,
                         random_state=42),
                  KMeans(init="random", n_clusters=n_clusters,
                         random_state=42),
                  KMeans(init=centers.copy(), n_clusters=n_clusters,

After Change

    km_repeated = clone(km).fit(X_repeat)

    assert_array_equal(km_repeated.labels_, repeated_labels)
    assert_allclose(km_weighted.inertia_, km_repeated.inertia_)
    assert_allclose(_sort_centers(km_weighted.cluster_centers_),
                    _sort_centers(km_repeated.cluster_centers_))

Instances