def test_select_random_classifier():
competences = np.random.rand(100)
expected = np.where(competences > 0.25)[0]
probabilistic_test = Probabilistic(create_pool_all_agree(1, 100))
probabilistic_test.n_classes = 4
indices = probabilistic_test.select(competences)
assert np.array_equal(indices, expected)
def test_select_threshold():
competences = np.random.rand(100)
expected = np.where(competences > 0.5)[0]
probabilistic_test = Probabilistic(create_pool_all_agree(1, 100))
probabilistic_test.selection_threshold = 0.5
indices = probabilistic_test.select(competences)
assert np.array_equal(indices, expected)
def test_select_all_ones():
competences = np.ones(100)
probabilistic_test = Probabilistic(create_pool_all_agree(1, 100))
probabilistic_test.n_classes = 2
indices = probabilistic_test.select(competences)
assert indices == list(range(100))
def test_select_all_zeros():
competences = np.zeros(100)
probabilistic_test = Probabilistic(create_pool_all_agree(1, 100))
probabilistic_test.n_classes = 2
selected_matrix = probabilistic_test.select(competences)
assert selected_matrix.all()