Ensemble Learning Toolbox
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
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Classification > Classification Ensembles >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
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 |
|