8000 Request for project inclusion in scikit-learn related projects: skforecast · Issue #26035 · scikit-learn/scikit-learn · GitHub
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Request for project inclusion in scikit-learn related projects: skforecast #26035

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JavierEscobarOrtiz opened this issue Mar 31, 2023 · 8 comments · Fixed by #26133
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@JavierEscobarOrtiz
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Describe the issue linked to the documentation

Hi! We have seen on the Related Projects page that projects closely related to scikit-learn are mentioned. We would like to propose the inclusion of skforecast in that list.

Skforecast is not focused on developing new estimators, but rather on facilitating using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).

Thank you!

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@seoeunHong
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Hi, which category do you think that project is going to fall into on that webpage? I can add that project to the documentation if I am okay to take this issue. Thank you!

@JavierEscobarOrtiz
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Hello, I think the correct category is Domain specific packages, and the definition:

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).

Thank you!

@adrinjalali
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Happy to review a PR adding this where sktime is also mentioned.

@adrinjalali adrinjalali removed the Needs Triage Issue requires triage label Apr 6, 2023
@seoeunHong
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/take

@vinodhkrishnaraju
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Review for the PR please

@seoeunHong
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seoeunHong commented Apr 7, 2023

Hello @vinodhkrishnaraju, I believe I am the person who requested to claim this issue, and I am currently working on it by assigning myself. I think you should have claimed this issue before if you want to ask pull request on this. Thank you

@vinodhkrishnaraju
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@seoeunHong Oops. This was my first contribution and didn't know the procedure. I will close my PR. Hence on, I will assign myself before taking any issue. Thanks

@seoeunHong
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seoeunHong commented Apr 8, 2023

Hello, @vinodhkrishnaraju, Thank you so much for responding to my comment, and good luck with your future contributions too!

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