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Paper detail

DESlib: A Dynamic ensemble selection library in Python

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.

preprint2019arXivOpen access
Rafael M. O. CruzLuiz G. HafemannRobert SabourinGeorge D. C. Cavalcanti
Machine Learning
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Rafael M. O. CruzLuiz G. HafemannRobert SabourinGeorge D. C. Cavalcanti

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