Romain Tavenard

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Hi @sw241395 Thanks for this suggestion. You are perfectly right that this should be offered as a direct function to the end-user. Here is my quick feedback: 1. This looks...

OK, it's not final yet, at the moment it cannot deal properly with time series of different lengths for the Shapelet model, but it's still a basis for future investigations.

Hi @AndreasAZiegler `to_time_series_dataset` does not reorder dimensions, so if your array (or array-like) is of shape `(116, 6, 578)`, you will have to transpose it before passing it to `to_time_series_dataset`.

Hi, We don't have support for `silhouette_samples` at the moment. In terms of implementation, given the current implementation of `silhouette_score` (https://github.com/tslearn-team/tslearn/blob/main/tslearn/clustering/utils.py#L66) that heavily relies on `sklearn`'s implem, it should be...

@srimantacse would you be willing to contribute your code to tslearn ? If so, we would be happy to help you along the process.

You can find info there: https://github.com/tslearn-team/tslearn/blob/main/CONTRIBUTING.md#more-details-on-pull-requests No problem if it takes some time, of course, it's always great to welcome new contributors

If I may add something: at the moment, the tests install scikit-learn v1.0, which does not provide wheels for Python 3.10. As a result, for all tests running on Python...

> If I may add something: at the moment, the tests install scikit-learn v1.0, which does not provide wheels for Python 3.10. As a result, for all tests running on...

Hi @Sandy4321 No, sorry, I did no comparison to other code, since this project was rather a way for me to get hands on sparse group lasso through coding it...