madtoinou

Hi @tuomijal, thank you for this feature request. How do you expect the validation series to be created? Extract `m` timestamps after the end of the training series? How do...

Hi @jacktang, thank your for writing. Can you please indicate which cell of the notebook raise the error? It seems like it comes from one of darts dependencies... Also, can...

Hi @JanFidor, I would recommend keeping the implementation of the ancestral sampling in the `TransformerModel` for another PR so that we can more easily compare the change in performance and...

@JanFidor The error in the CI/CD was caused by a statsforacasting release where they fixed a bug that the unittest was actually "relying on", everything should run smoothly now. I'll...

Closed the conversations that were addressed, the comments about `pytest.mark.parametrize` are still valid.

Hi @felixdivo, A similar wrapper is used for the sklearn based model (`MultiOutputRegressor`) in darts, and after discussing with @dennisbader, we agreed that it would be great to extend it...

Hi @bigskapinsky! Thank you for this detailed feature request. I think that such a feature would be a great addition to Darts, especially since the Anomaly Detection module was released....

(Just realized that this is probably a duplicate of #1491, linking it so that we can easily keep track of both conversations)

Hi @nagydavid, This feature is still open to grab. Would you be interested in contributing?

It's currently being partially implemented in PR #2021 (for `historical_forecasts()` methods). Once it's merged, we'll try to extend it to the models themselves but difficult to tell if it'll be...