Ensemble Learning Toolbox

Versión 1.0.0 (9,1 KB) por Victor Henrique Alves Ribeiro
A simple toolbox for the creation of ensembles of classifiers and regressors.
5.0
(7)
1,8K descargas
Actualizado 13 may 2020
Ver licencia en GitHub

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.

Citar como

@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.

Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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examples

src

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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.