madtoinou

Hi @cargecla1, If you think that there is enough content to make a whole notebook, you can create a new one in the `examples/` folder. If the code is rather...

Hi @Nishanth009, I think that this is a duplicate of #1945, but sadly, we don't have the hardware to reproduce it at the moment. You could please share a code...

Closing this, since it seems to be a duplicate of both #1945 and #2265 where a solution as been suggested. Please let us know if `BasePredictionWriter` solves the problem in...

Hi, a solution seems to have been suggested in #2265. Can you check if it solves the problem?

It looks interesting but wouldn't be simpler to just add an argument to mse? Or at least reuse it in rmsse?

Hi @wgutierr, The `kwargs` argument of `XGBModel` constructor (and `fit()`) is passed to the underlying XGBoost library implementation. I haven't tested it personally but yes, the GPU training should be...

Hi @guilhermeparreira, This should be possible with the following consideration: - regression model must be created with `output_chunk_length=1` (then obtain the underlying model stored in the `model` attribute of darts...

Actually, you could probably also use `output_chunk_length > 1` in combination with `multi_models=False` in order to have only one model but keep in mind that the lags will be shifted...

Related to #1715. WDYT @dennisbader ?

Hi @FelixSaretzky, This is not yet supported for torch models, due to the way data is tabularized (less flexibility than regression models at the moment) but depending on the model,...