Ensemble Learning Toolbox

버전 1.0.0 (9.1 KB) 작성자: Victor Henrique Alves Ribeiro

A simple toolbox for the creation of ensembles of classifiers and regressors.

https://github.com/vhrique/ELT

팔로우

5.0

(7)

다운로드 수: 1.8K

업데이트 날짜: 2020/5/13

GitHub에서 라이선스 보기

This is a simple class/toolbox for classification and regression ensemble learning.

It enables the user to manually create heterogeneous, majority voting, weighted majority voting, mean, and stacking ensembles with MATLAB's "Statistics and Machine Learning Toolbox" classification models.

Version 1.0.0 also adds boosting, bagging, random subspace, and "random forest" training approaches.

인용 양식

@article{ribeiro2020ensemble, title={Ensemble Learning Toolbox: Easily Building Custom Ensembles in MATLAB}, author={Victor Henrique Alves Ribeiro and Gilberto Reynoso-Meza}, year={in review} }

Victor Henrique Alves Ribeiro and Gilberto Reynoso-Meza (In review). Ensemble Learning Toolbox: Easily Building Custom Ensembles in MATLAB.

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개발 환경: R2019b

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examples

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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전	게시됨	릴리스 정보
1.0.0	2020/5/13	First complete version available.
0.7	2018/8/21	Multi-class functionality added.
0.5	2018/8/13	Added regression functionality.
0.4	2018/8/6	Scalability fix.
0.3	2018/8/1	A new demonstration code has been added to show the toolbox's versatility.
0.2	2018/8/1	Simplified access to class parameters.
0.1	2018/8/1

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