def test_recall_binary():
obj = Recall()
assert obj.score(np.array([0, 0, 0, 1, 1, 1]),
np.array([1, 1, 1, 1, 1, 1])) == pytest.approx(1.0, EPS)
assert obj.score(np.array([0, 0, 0, 1, 1, 1]),
np.array([0, 0, 0, 0, 0, 0])) == pytest.approx(0.0, EPS)
assert obj.score(np.array([1, 1, 1, 1, 1, 1]),
np.array([0, 0, 0, 1, 1, 1])) == pytest.approx(0.5, EPS)
def test_recall_object(X_y_binary):
X, y = X_y_binary
automl = AutoMLSearch(X_train=X,
y_train=y,
problem_type='binary',
objective=Recall(),
max_iterations=1,
n_jobs=1)
automl.search()
assert len(automl.full_rankings) > 0
assert automl.objective.name == 'Recall'