Matlab Weka Interface

Matlab interface for Weka Classifiers

Description

Weka is a comprehensive open source Machine Learning toolkit, written in Java at the University of Waikato, New Zealand. These functions provide a basic Matlab interface to Weka allowing you to transfer data back and forth and access major Weka features, such as training Classifiers. They have been tested with Weka version 3.5

• MATLAB release: MATLAB 7.6 (R2008a)
• Other requirements: Requires Java and Weka, available here: http://www.cs.waikato.ac.nz/ml/weka/

Other Files

wekaClassify.m,
wekaNBexample.m,
wekaPathCheck.m,
whelp.m,
bolasso.arff,
iris.arff,
loadARFF.m,
matlab2weka.m,
saveARFF.m,
trainWekaClassifier.m,
weka2matlab.m

[Fangqing Peng]

what you have write here is so useful to me.
but can you list a intruduction about how to use your files here . thx.

my email: [e-mail]

[Sunny Mahajan]

Hi Matt, I would find this extremely useful if I could use it.
I ran wekaNBexample.m got the following error:

??? Undefined function or variable 'FastVector'.

Error in ==> matlab2weka at 28
    vec = FastVector();

Error in ==> wekaNBexample at 21
train = matlab2weka('iris-train',featureNames,train,classindex);

Can you please help?
-Sunny

[leptogenesis]

As others have said, the usability could use some work. I just turned a .mat file into a .arff file using this, but at first, I was entering the data matrix the wrong way (should have used the transpose). When I did this, the program created the Instances object with no errors, and would then throw a cryptic nullpointerexception when I tried to write the arff file. It took half an hour going through the weka source code to figure out what was happening--a range check in your program would have saved me that time.

Otherwise, a very useful program!

[Philip]