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List:       wekalist
Subject:    Re: [Wekalist] weka.classifiers.updateableClassifiers
From:       Albert Bifet <abifet () cs ! waikato ! ac ! nz>
Date:       2011-03-28 22:12:49
Message-ID: AANLkTimdJq_oAJrb8k0YGe=Tx-S-Xq9keb_og-ROnGmR () mail ! gmail ! com
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>  The actual algorithm of different classifiers being different is
> understood. What i am more interested, is how they differ with respect to
> handling the incoming data. In precisely what aspects do these two vary in
> handling the data sets?

The classifiers in MOA can be used as updateable classifiers in WEKA
using the weka.classifiers.meta.MOA meta-classifier, and the
classifiers implementing UpdateableClassifier in WEKA can be used in
MOA using the WEKAClassifier or SingleClassifierDrift
meta-classifiers.

http://moa.cs.waikato.ac.nz/details/classification/
http://moa.cs.waikato.ac.nz/wp-content/uploads/2010/05/Manual.pdf

The main differences between MOA and WEKA are the evaluation used and
the classifiers implemented. MOA uses a fast real-time prequential
evaluation where instances are first used to test and then to train.

Cheers,

Albert

-----------------------------------------------------------------------------------
Albert Bifet, Dept. of Computer Science, University of Waikato
http://www.cs.waikato.ac.nz/~abifet         +64 7 838 4466 Ext 8766

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