Python(编程语言)
文档
计算机科学
选择(遗传算法)
开源
源代码
程序设计语言
分类器(UML)
人工智能
软件
作者
Rafael M. O. Cruz,Luiz G. Hafemann,Robert Sabourin,George D. C. Cavalcanti
出处
期刊:Cornell University - arXiv
日期:2020-01-01
卷期号:21 (8): 1-5
被引量:4
摘要
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 (this http URL) and is part of the scikit-learn-contrib supported projects. Documentation, code and examples can be found on its GitHub page: this https URL.
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