Using Weka in Matlab

An efficient interface to use Weka in MATLAB

Version (5,44 Mo)
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22 juil. 2015
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Citation pour cette source

Sunghoon Lee (2026). Using Weka in Matlab (https://fr.mathworks.com/matlabcentral/fileexchange/50120-using-weka-in-matlab), MATLAB Central File Exchange. Extrait(e) le .

Remerciements

Inspiré par : Matlab Weka Interface

A inspiré : Truss displacement based on FEM

Catégories

En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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Version Publié le Notes de version
1.5.0

1. Paths to WEKA has been updated to comply with Mac users. Thanks to Giovanni Mascia.
2. The "crossvalind" function, which requires the Bioinformatics toolbox, is replaced with idxCV = ceil(rand([1 N])*K)+1;. Thanks to Igor Varfolomeev
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1.4.0

The input files for example codes have been added since some older versions of MATLAB don't have them built in.
The classifier & cost-sensitive classifier now produces "nominal outputs" rather than "numerical outputs". Thanks to Giovanni Mascia!
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1.3.0

There was a small bug in wekaRegression.m and regression_example.m, which is "now" fixed.
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1.2.0

There was a small bug in wekaRegression.m and regression_example.m, which is not fixed.
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1.1.0

Correction: Bioinformatics Toolbox is not required!
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1.0.0

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