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/

[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]

 

[Matteo]

Very useful!

[Jorge]

Hi Matt,
I'm using weka-3.6 and matlab 7.6 (R2008a). The program loadARFF.m is experiencing the following error:
?? Java exception occurred:
java.io.IOException: The specified source has Been
at weka.core.converters.ArffLoader.getDataSet (ArffLoader.java: 1003)
Error in ==> loadARFF at 20
    wekaOBJ loader.getDataSet = ();

I am passing the file name correctly.
Can you please help?
Jorge.

[Kenneth]

Saved me a heap of time, thank you.

the matlab2weka file has a bit of a problem. "Instance" can't be substantiated. Quick work around is to use SparseInstance and create a filter in SaveAsArff to convert sparse to non-sparse.

[Kenneth]

sorry - substantiated should of course be instantiated.

[Arturo Moncada Torres]

 

[Kyle Heuton]

Great code, but I can't figure out how to enter options that contain a numeric value, it has to be a cell array of strings, and I've tried:
{'-F','1'},{'-F 1'},{-F <1>}, and every other permutation I can think of, but none of them work.

What is the proper way to enter options that contain a value?

[Pierluigi Failla]

I tried your code with using functions.SMO with parameter the standard Weka string:

'-C 1.0 -L 0.0010 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"'

and everything works fine, but when I try to do the same using lazy.IBk classifier with string parameter:

'-K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""'

(copied from Weka) I get an Illegal Option error.

Do you have any idea to fix this?

Thanks

[shab shekan]

Thank you so much.
I try it but I have problem.
I got this error " No method 'setValue' with matching signature found for class
'weka.core.Instance'."
Do you have any idea to fix this?