Using Weka in Matlab

An efficient interface to use Weka in MATLAB

Version 1.5.0 (5.44 MB)
5.2K Downloads
(7)
22 Jul 2015
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Cite As

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

Acknowledgements

Inspired by: Matlab Weka Interface

Inspired: Truss displacement based on FEM

Categories

Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
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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