コード例 #1
0
ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_empty():
    """Empty clusterings have AUL=0.0
    """
    clusters = []
    score1 = aul_score_from_labels(*clusters_to_labels(clusters))
    score2 = aul_score_from_clusters(clusters)
    assert_almost_equal(score1, 0.0, 4)
    assert_almost_equal(score2, 0.0, 4)
コード例 #2
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ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_perverse():
    """Perverese cases are 0.0 < AUL < 0.5
    """
    clusters = [[1], [0, 0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 0.1111, 4)
    assert_almost_equal(aul2, 0.1111, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 0.0, 4)
コード例 #3
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ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_bad():
    """Bad clustering should score poorly
    """
    clusters = [[1, 1, 0, 0], [0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 0.5, 4)
    assert_almost_equal(aul2, 0.5, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 0.6667, 4)
コード例 #4
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ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_neg_class1():
    """Similar to ``test_sample_perfect`` but have a negative of class 1
    """
    clusters = [[1, 1, 1, 1, 1], [1], [0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 0.8690, 4)
    assert_almost_equal(aul2, 0.8690, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 0.9167, 4)
コード例 #5
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ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_cluster0_c0():
    """Similar to ``test_sample_perfect`` but have a cluster of class 0
    """
    clusters = [[1, 1, 1, 1], [0, 0], [0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 0.6667, 4)
    assert_almost_equal(aul2, 0.6667, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 1.0, 4)
コード例 #6
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ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_cluster0_nh():
    """Same as in ``test_sample_perfect`` but cluster 0 not homogeneous
    """
    clusters = [[1, 1, 1, 1, 0], [0], [0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 0.8, 4)
    assert_almost_equal(aul2, 0.8, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 0.8333, 4)
コード例 #7
0
ファイル: test_ranking.py プロジェクト: escherba/lsh-hdc
def test_sample_perfect():
    """Perfect clustering
    """
    clusters = [[1, 1, 1, 1, 1], [0], [0]]

    aul1 = aul_score_from_labels(*clusters_to_labels(clusters))
    aul2 = aul_score_from_clusters(clusters)
    assert_almost_equal(aul1, 1.0, 4)
    assert_almost_equal(aul2, 1.0, 4)

    auc = RocCurve.from_clusters(clusters).auc_score()
    assert_almost_equal(auc, 1.0, 4)