DESlib is an open-source python library providing the implementation of several dynamic selection techniques. The library is divided into three modules: (i) \emph{dcs}, containing the implementation of dynamic classifier selection methods (DCS); (ii) \emph{des}, containing the implementation of dynamic ensemble selection methods (DES); (iii) \emph{static}, with the implementation of static ensemble techniques. The library is fully documented (documentation available online on Read the Docs), has a high test coverage (codecov.io) and is part of the scikit-learn-contrib supported projects. Documentation, code and examples can be found on its GitHub page: https://github.com/scikit-learn-contrib/DESlib.
@article{arxiv.1802.04967,
title = {DESlib: A Dynamic ensemble selection library in Python},
author = {Rafael M. O. Cruz and Luiz G. Hafemann and Robert Sabourin and George D. C. Cavalcanti},
journal= {arXiv preprint arXiv:1802.04967},
year = {2020}
}
Comments
Paper introducing DESlib: A dynamic ensemble selection library in Python