test_neighbors.py 文件源码

def test_predict_sparse_ball_kd_tree():
    rng = np.random.RandomState(0)
    X = rng.rand(5, 5)
    y = rng.randint(0, 2, 5)
    nbrs1 = neighbors.KNeighborsClassifier(1, algorithm='kd_tree')
    nbrs2 = neighbors.KNeighborsRegressor(1, algorithm='ball_tree')
    for model in [nbrs1, nbrs2]:
        model.fit(X, y)
        assert_raises(ValueError, model.predict, csr_matrix(X))