def test_test_no_score(self, test):
dataset_loader_test, model_persister = Mock(), Mock()
X, y = object(), object()
dataset_loader_test.return_value = X, y
model_persister.read.return_value = Mock(spec=['fit', 'predict'])
model_persister.read.return_value.__metadata__ = {'version': 99}
with pytest.raises(ValueError):
test(dataset_loader_test, model_persister)
def test_test(self, test):
dataset_loader_test, model_persister = Mock(), Mock()
X, y = object(), object()
dataset_loader_test.return_value = X, y
model = model_persister.read.return_value
model.__metadata__ = {'version': 77}
test(dataset_loader_test, model_persister, model_version=77)
dataset_loader_test.assert_called_with()
model_persister.read.assert_called_with(version=77)
model.score.assert_called_with(X, y)
def test_test_two_scores(self, test):
dataset_loader_test, model_persister, scorer = Mock(), Mock(), Mock()
X, y = object(), object()
dataset_loader_test.return_value = X, y
model = model_persister.read.return_value
model.__metadata__ = {'version': 77}
test(dataset_loader_test,
model_persister,
scoring=scorer,
model_version=77)
dataset_loader_test.assert_called_with()
model_persister.read.assert_called_with(version=77)
scorer.assert_called_with(model, X, y)
assert model.score.call_count == 0
def test_scoring_dict(self, test):
dataset_loader_test, model_persister = Mock(), Mock()
scoring = {'AUC': Mock(), 'accuracy': Mock()}
scoring['AUC'].return_value = 1.23
scoring['accuracy'].return_value = 3.45
X, y = object(), object()
dataset_loader_test.return_value = X, y
model = model_persister.read.return_value
model.__metadata__ = {'version': 77}
result = test(dataset_loader_test,
model_persister,
scoring=scoring,
model_version=77)
scoring['AUC'].assert_called_with(model, X, y)
scoring['accuracy'].assert_called_with(model, X, y)
assert sorted(result) == ['AUC: 1.23', 'accuracy: 3.45']
