Ensemble Learning Toolbox

Version 1.0.0 (9,1 KB) von Victor Henrique Alves Ribeiro
A simple toolbox for the creation of ensembles of classifiers and regressors.
5.0
(7)
1,9K Downloads
Aktualisiert 13. Mai 2020
Lizenz auf GitHub anzeigen

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.

Zitieren als

@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.

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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examples

src

Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.0.0

First complete version available.
0.7

Multi-class functionality added.
0.5

Added regression functionality.
0.4

Scalability fix.
0.3

A new demonstration code has been added to show the toolbox's versatility.
0.2

Simplified access to class parameters.
0.1

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.