def test_select_random_classifier():
competences = np.random.rand(1, 100)
expected = (competences > 0.25)
probabilistic_test = BaseProbabilistic()
probabilistic_test.n_classes_ = 4
indices = probabilistic_test.select(competences)
assert np.array_equal(indices, expected)
def test_select_threshold():
competences = np.random.rand(1, 100)
expected = (competences > 0.5)
probabilistic_test = BaseProbabilistic()
probabilistic_test.selection_threshold = 0.5
indices = probabilistic_test.select(competences)
assert np.array_equal(indices, expected)
def test_select_all_zeros():
competences = np.zeros(100)
probabilistic_test = BaseProbabilistic()
probabilistic_test.n_classes_ = 2
selected_matrix = probabilistic_test.select(competences)
assert selected_matrix.all()
def test_select_all_ones():
competences = np.ones(100)
probabilistic_test = BaseProbabilistic(create_pool_all_agree(1, 100))
probabilistic_test.n_classes_ = 2
selected_matrix = probabilistic_test.select(competences)
assert selected_matrix.all()
