def test_estimate_competence_batch(example_estimate_competence):
_, _, neighbors, distances, dsel_processed, _ = example_estimate_competence
expected = np.array([[0.57142857, 0.71428571, 0.71428571],
[0.71428571, 0.85714286, 0.71428571],
[0.57142857, 0.71428571, 0.57142857]])
ola_test = OLA()
ola_test.DSEL_processed_ = dsel_processed
ola_test.DFP_mask = np.ones((3, 3))
competences = ola_test.estimate_competence(neighbors, distances=distances)
assert np.allclose(competences, expected)
def test_estimate_competence_batch():
expected = np.array([[0.57142857, 0.71428571, 0.71428571],
[0.71428571, 0.85714286, 0.71428571],
[0.57142857, 0.71428571, 0.57142857]])
ola_test = OLA(create_pool_classifiers())
ola_test.DSEL_processed_ = dsel_processed_ex1
neighbors = neighbors_ex1
distances = distances_ex1
ola_test.DFP_mask = np.ones((3, 3))
query = np.array([[1, 1], [1, 1], [1, 1]])
competences = ola_test.estimate_competence(query, neighbors, distances=distances)
assert np.allclose(competences, expected)