Re: How to use multicore processor to Select attributes
Vinicius PG <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CANByKf0m3qT9iuPZeYrFMb70kyoNGOsW7xpCp8FNzDLC6RFxfA@mail.gmail.com> |
Hello, I have used the Attribute selection using the "wrapper" method, but through the GUI as taught in the course. https://www.youtube.com/watch?v=Pf9yKjSiVnw . It would be interesting if the GUI could count on this resource to parallelize the processing, and also to schedule batch processing, because with the current interface it is necessary to do it one by one. This would be great if the weka team could implement it. Att, Vinicius Em ter., 29 de jun. de 2021 às 17:41, Peter Reutemann < [email protected]> escreveu: > > I would like to know if there is a way to enable weka to take full > advantage of the processor's potential to perform "attribute selection". I > have been working with dataframes that are not that big, but already the > program takes a long time to complete the tasks because it does not use the > full potential of the processor, as in the image below. Would it be > possible to enable it? > > Some, like ClassifierAttributeEval, can take advantage of multi-core > systems. For others, multi-threaded computation requires rewriting the > code that can be parallelized. Looking forward to receiving your > contribution! :-) > > Cheers, Peter > -- > Peter Reutemann > Dept. of Computer Science > University of Waikato, NZ > +64 (7) 577-5304 > 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 > -- Vinicius _______________________________________________ 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