def test_predict_unfitted(self):
rules = TrainableRules(
base_model_name="sklearn.tree.DecisionTreeClassifier",
prune_branches_algorithms=[],
prune_attributes=False,
confidence_threshold=0)
with self.assertRaises(NotFittedError):
rules.predict(self.test_x)
def test_predict_unfitted(self):
rules = TrainableRules("sklearn.tree.DecisionTreeClassifier",
prune_branches_algorithms=[],
prune_attributes=False)
with self.assertRaises(NotFittedError):
rules.predict(self.test_x)