DESlib: A Dynamic ensemble selection library in Python

Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti.

Year: 2020, Volume: 21, Issue: 8, Pages: 1−5


DESlib is an open-source python library providing the implementation of several dynamic selection techniques. The library is divided into three modules: (i) dcs, containing the implementation of dynamic classifier selection methods (DCS); (ii) des, containing the implementation of dynamic ensemble selection methods (DES); (iii) 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 ( and is part of the scikit-learn-contrib supported projects. Documentation, code and examples can be found on its GitHub page:

PDF BibTeX code