Re: sklearn-weka-plugin vs python-weka-wrapper3
Peter Reutemann <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
pww3 allows you to use Weja algorithms from Python. A standalone project. swp allows you to use Weka algorithms within the sklearn framework, eg, using their evaluation metrics. Allows you to compare Weka and sklearn algorithms directly. However, converting the numpy data into Weka's format inside the JVM incurs a performance hit. Cheers, Peter On December 1, 2021 2:49:02 AM GMT+13:00, [email protected] wrote: >Hi, > >Probably you've explained this fact during the conference. However, which are the main differences between sklearn-weka-plugin and python-weka-wrapper3. When you recommend to use one or another? >_______________________________________________ >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 -- 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