test_k_means.py 文件源码

def test_minibatch_init_with_large_k():
    mb_k_means = MiniBatchKMeans(init='k-means++', init_size=10, n_clusters=20)
    # Check that a warning is raised, as the number clusters is larger
    # than the init_size
    assert_warns(RuntimeWarning, mb_k_means.fit, X)