Re: Normalize a few features (not all)
Neha gupta <[email protected]> Wed, 10 Aug 2022 20:44:02 +0200
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CA+nrPns3FEBULwc0phSOKmiDJB9W+=5AjZFGWOXGuJEUWF72KQ@mail.gmail.com> |
Hello Peter When I apply the filter, why do I get the names of the features like "filtered-0-version", "filtered-0-loc", "filtered-0-wmc etc", rather than simply the features like version, loc, wmc etc. Best regards On Wed, Aug 10, 2022 at 12:06 PM Neha gupta <[email protected]> wrote: > Thank you Peter for the useful information. > > Best regards > > On Wed, Aug 10, 2022 at 11:01 AM Peter Reutemann <[email protected]> > wrote: > >> 1-6,8-12 >> >> Cjeers, Peter >> -- >> Peter Reutemann >> Dept. of Computer Science >> University of Waikato, NZ >> +64 (7) 858-5174 (office) >> +64 (7) 577-5304 (home office) >> http://www.cs.waikato.ac.nz/~fracpete/ >> http://www.data-mining.co.nz/ >> >> Aug 10, 2022 20:43:35 Neha gupta <[email protected]>: >> >> How to specify the range, if we have features 1-12 and we want to >> normalize all features except number 7. >> >> On Wed, Aug 10, 2022 at 3:17 AM Peter Reutemann <[email protected]> >> wrote: >> >>> > In Weka explorer, is it possible I normalize only selected input >>> features and not all? >>> > >>> > My requirement is to normalize all features except one, so can I do >>> that? >>> >>> You can use the PartitionedMultiFilter for that: >>> >>> https://weka.sourceforge.io/doc.dev/weka/filters/unsupervised/attribute/PartitionedMultiFilter.html >>> >>> This meta-filter allows you to define attribute ranges and their >>> associated filters. Just specify the correct range of attributes that >>> you want to normalize and use Normalize as the filter. >>> By default, all attributes not covered by the ranges will just be copied >>> across. >>> >>> Cheers, Peter >>> -- >>> Peter Reutemann >>> Dept. of Computer Science >>> University of Waikato, NZ >>> +64 (7) 858-5174 (office) >>> +64 (7) 577-5304 (home office) >>> https://www.cs.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 >>> >> _______________________________________________ >> 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 >> > _______________________________________________ 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