We do have ensemble models. Something like model = NaiveEnsembleModel([model1, model2, ...]) model.fit(my_series) prediction = model.predict() Wil

We do have ensemble models. Something like model = NaiveEnsembleModel([model1, model2, ...]) model.fit(my_series) prediction = model.predict() Will return an average prediction. Look at RegressionEnsembleModel for an ensemble model which uses a regression model to learn how to combine the individual forecasts. At the moment Darts doesn't have hierarchical reconciliation methods (if that's what you meant), but it's on the backlog :)