Re: Normalize a few features (not all)
Peter Reutemann <[email protected]> Wed, 10 Aug 2022 09:00:59 +0000 (UTC)
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
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