Re: simplest of code
Peter Reutemann <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAHoQ12KKL2ayTWwskLJiBqkke7VEGGLzA368Un7CzehFL6RZyg@mail.gmail.com> |
> If I wished to use the meta AutoWEKA classifier, what changes, if any, > would be required to WekaApp.data I haven't used AutoWEKA myself. In theory, it should just act like any other classifier (they all implement the same interface, weka.classifiers.Classifier). However, since AutoWEKA is a tool for parameter optimization (and can take a long time, depending on the dataset), you would use that in an offline fashion. You would then use the classifier/parameters that AutoWEKA determined to be optimal for your data, build a classifier with that and use this model in production. Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 (office) +64 (7) 577-5304 (home office) http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/ _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html