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Description
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...).
- Project name: skforecast
- Project description: 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...).
- Authors: Joaquín Amat Rodrigo (https://github.com/JoaquinAmatRodrigo), Javier Escobar Ortiz (https://github.com/JavierEscobarOrtiz)
- Current repository: https://github.com/JoaquinAmatRodrigo/skforecast
Thank you!
Suggest a potential alternative/fix
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