Ensemble Learning Toolbox

Versione 1.0.0 (9,1 KB) da Victor Henrique Alves Ribeiro
A simple toolbox for the creation of ensembles of classifiers and regressors.
5.0
(7)
1,8K download
Aggiornato 13 mag 2020
Visualizza la licenza su 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.

Cita come

@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.

Compatibilità della release di MATLAB
Creato con R2019b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

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examples

src

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.