Satwik Sai Prakash Sahoo

Hello @MatthewMiddlehurst @JoaquinAmatRodrigo I’d like to work on this enhancement. I’ll add an optional `alpha` parameter to `iterative_forecast()` to return prediction intervals (lower and upper bounds) along with the point...

Hi! @TonyBagnall @JoaquinAmatRodrigo @MatthewMiddlehurst I'd like to work on this issue. My plan is: - Add an optional `fit` parameter to `iterative_forecast` (defaulting to `True` to preserve current behaviour). -...

Hi! @TonyBagnall and @JoaquinAmatRodrigo I've opened a PR that adds full support for exogenous variables (`exog`) to `ARIMA` and `AutoARIMA`: **[ENH] Add exogenous variable support to ARIMA (#3116)**. The implementation...

Hi @MatthewMiddlehurst @hadifawaz1999 My plan is to add unit tests for the save/load functionality of the deep clusterers, specifically targeting the models that required the fixes in #3074 (DRNNClusterer and...

Hello @baraline Hi, I would like to work on this issue. I can help by: - Expanding the documentation for the shapelet transformer and RDST classifier, including clearly describing all...

> You should be able to call predict because when "fit" is called on a deep clusterer, it creates an instance self._estimator for the clustering estimator that you can fetch...

> Is this already handled in your implementation? Hello @JoaquinAmatRodrigo I believe the alignment is handled correctly in the current implementation. - Exogenous variables are used **only once**, during the...

Hi, I’d like to work on this enhancement. From my understanding, the issue is that TSC datasets are currently being downloaded into the package directory inside the environment (e.g., `site-packages/aeon/datasets`),...

> Was there an issue with this PR? Hi, thanks for following up @MatthewMiddlehurst I closed the previous PR because, after reviewing it again, I realised that the change I...

> It would be better to edit your current PR rather than create a new one for changes like this. Rather than AppData it should probably be wherever the code...