コード例 #1
0
def test_source_competence_kl():
    entropy_test = DESKL()
    entropy_test.n_classifiers_ = 1
    entropy_test.dsel_scores_ = np.array([[[0.33, 0.33, 0.33], [1.0, 0.0, 0.0],
                                           [1.0, 0.0, 0.0]]]).reshape(3, 1, 3)
    entropy_test.DSEL_processed_ = np.array([[False], [True], [False]])
    entropy_test.n_classes_ = 3
    entropy_test.n_samples_ = 3
    C_src = entropy_test.source_competence()
    expected = np.array([[0.0], [1.0], [-1.0]])
    assert np.allclose(C_src, expected, atol=0.01)
コード例 #2
0
def test_source_competence_kl():
    pool_classifiers = [
        create_base_classifier(return_value=1, return_prob=1.0)
    ]
    entropy_test = DESKL(pool_classifiers=pool_classifiers)
    entropy_test.n_classifiers_ = len(pool_classifiers)
    # 3 Samples, 1 classifier, 3 classes
    entropy_test.dsel_scores_ = np.array([[[0.33, 0.33, 0.33], [1.0, 0.0, 0.0],
                                           [1.0, 0.0, 0.0]]]).reshape(3, 1, 3)
    entropy_test.DSEL_processed_ = np.array([[False], [True], [False]])
    entropy_test.n_classes_ = 3
    entropy_test.n_samples_ = 3
    C_src = entropy_test.source_competence()
    expected = np.array([[0.0], [1.0], [-1.0]])
    assert np.allclose(C_src, expected, atol=0.01)