Using MOA to classify new examples?

Posted by Sam Zetoloth on Stack Overflow See other posts from Stack Overflow or by Sam Zetoloth
Published on 2010-06-06T07:35:09Z Indexed on 2010/06/06 7:42 UTC
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java

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machine-learning

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weka

I'm trying to use the java machine learning library MOA to train on a training data stream, then predict classes for a test data stream. The first part works fine, using (for example)

java -cp .:moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l MajorityClass -s (ArffFileStream -f atrain.arff -c -1) -O amodel.moa"

But then I cannot figure out how to use the trained model (amodel.moa) on another stream (atest.arff) to predict the classes. Has anyone done this before?

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