Python MDLP.toarray Examples

Example #1

File: test_mdlp.py Project: mmakowski/mdlp-discretization

def test_sparse_input():
    expected = [
        [0, 0],
        [0, 0],
        [1, 0],
        [2, 0],
    ]

    dense_X = np.array([[0.1, 0.1], [0.2, 0.4], [0.3, 0.2], [0.4, 0.3]])
    X = scipy.sparse.csr_matrix(dense_X)
    y = np.array([0, 0, 1, 2])
    disc = MDLP(shuffle=False).fit_transform(X, y)
    assert_array_equal(expected, disc.toarray())

Example #2

File: test_mdlp.py Project: mmakowski/mdlp-discretization

def test_drop_collapsed_features_sparse():
    expected = [
        [0, 0],
        [0, 0],
        [1, 1],
        [2, 2],
    ]

    dense_X = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.4, 0.2, 0.4, 0.2, 0.4],
                        [0.2, 0.3, 0.2, 0.3, 0.2], [0.3, 0.4, 0.3, 0.4, 0.3]])
    X = scipy.sparse.csr_matrix(dense_X)
    y = np.array([0, 0, 1, 2])
    disc = MDLP(drop_collapsed_features=True,
                shuffle=False).fit_transform(X, y)
    assert_array_equal(expected, disc.toarray())