Ejemplos de homogeneity_completeness_v_measure en Python

Ejemplo n.º 1

Archivo: test_cluster.py Proyecto: shillenm/scikit-learn

def test_non_consicutive_labels():
    # regression tests for labels with gaps
    h, c, v = homogeneity_completeness_v_measure([0, 0, 0, 2, 2, 2],
                                                 [0, 1, 0, 1, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

    h, c, v = homogeneity_completeness_v_measure([0, 0, 0, 1, 1, 1],
                                                 [0, 4, 0, 4, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

Ejemplo n.º 2

Archivo: test_cluster.py Proyecto: aeweiwi/scikit-learn

def test_non_consicutive_labels():
    # regression tests for labels with gaps
    h, c, v = homogeneity_completeness_v_measure(
        [0, 0, 0, 2, 2, 2],
        [0, 1, 0, 1, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

    h, c, v = homogeneity_completeness_v_measure(
        [0, 0, 0, 1, 1, 1],
        [0, 4, 0, 4, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

Ejemplo n.º 3

Archivo: test_cluster.py Proyecto: shillenm/scikit-learn

def test_not_complete_and_not_homogeneous_labeling():
    # neither complete nor homogeneous but not so bad either
    h, c, v = homogeneity_completeness_v_measure([0, 0, 0, 1, 1, 1],
                                                 [0, 1, 0, 1, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

Ejemplo n.º 4

Archivo: test_cluster.py Proyecto: shillenm/scikit-learn

def test_complete_but_not_homogeneous_labeling():
    # complete but not homogeneous clustering
    h, c, v = homogeneity_completeness_v_measure([0, 0, 1, 1, 2, 2],
                                                 [0, 0, 1, 1, 1, 1])
    assert_almost_equal(h, 0.58, 2)
    assert_almost_equal(c, 1.00, 2)
    assert_almost_equal(v, 0.73, 2)

Ejemplo n.º 5

Archivo: test_cluster.py Proyecto: shillenm/scikit-learn

def test_homogeneous_but_not_complete_labeling():
    # homogeneous but not complete clustering
    h, c, v = homogeneity_completeness_v_measure([0, 0, 0, 1, 1, 1],
                                                 [0, 0, 0, 1, 2, 2])
    assert_almost_equal(h, 1.00, 2)
    assert_almost_equal(c, 0.69, 2)
    assert_almost_equal(v, 0.81, 2)

Ejemplo n.º 6

Archivo: test_cluster.py Proyecto: aeweiwi/scikit-learn

def test_not_complete_and_not_homogeneous_labeling():
    # neither complete nor homogeneous but not so bad either
    h, c, v = homogeneity_completeness_v_measure(
        [0, 0, 0, 1, 1, 1],
        [0, 1, 0, 1, 2, 2])
    assert_almost_equal(h, 0.67, 2)
    assert_almost_equal(c, 0.42, 2)
    assert_almost_equal(v, 0.52, 2)

Ejemplo n.º 7

Archivo: test_cluster.py Proyecto: aeweiwi/scikit-learn

def test_complete_but_not_homogeneous_labeling():
    # complete but not homogeneous clustering
    h, c, v = homogeneity_completeness_v_measure(
        [0, 0, 1, 1, 2, 2],
        [0, 0, 1, 1, 1, 1])
    assert_almost_equal(h, 0.58, 2)
    assert_almost_equal(c, 1.00, 2)
    assert_almost_equal(v, 0.73, 2)

Ejemplo n.º 8

Archivo: test_cluster.py Proyecto: aeweiwi/scikit-learn

def test_homogeneous_but_not_complete_labeling():
    # homogeneous but not complete clustering
    h, c, v = homogeneity_completeness_v_measure(
        [0, 0, 0, 1, 1, 1],
        [0, 0, 0, 1, 2, 2])
    assert_almost_equal(h, 1.00, 2)
    assert_almost_equal(c, 0.69, 2)
    assert_almost_equal(v, 0.81, 2)