Re: Remove duplicate instances
Edward Wiskers <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAPcuOJ1fyHQYjKSPccX0pJ+hLr73Ku5x-oa9EaBOHKLv20vc0Q@mail.gmail.com> |
HI Eibe, My guess is that the class value must be the same as well. Have you tried > it for that case? > I also tried that but the filter doesn't work. Maybe there is a bug. Cheers, Edward > > Cheers, > Eibe > > On Sun, May 2, 2021 at 4:48 AM Edward Wiskers <[email protected]> > wrote: > >> Hi Eibe, >> >> Assuming that there are 2 attributes (non of them is the class) and they >> have the exact instances. I applied the ''RemoveDuplicates" filter but >> nothing has been changed-ie, I still can see the attributes together with >> their instances. Any advice on that would be highly appreciated. >> >> Cheers, >> Edward >> >> On Sat, May 1, 2021 at 5:11 PM Eibe Frank <[email protected]> >> wrote: >> >>> I actually made a WEKA filter for this not that long ago so you can do >>> this from within WEKA now: >>> >>> >>> https://weka.sourceforge.io/doc.stable-3-8/weka/filters/unsupervised/instance/RemoveDuplicates.html >>> >>> Cheers, >>> Eibe >>> >>> On Wed, Apr 28, 2021 at 10:26 AM Peter Reutemann <[email protected]> >>> wrote: >>> >>>> > I have some duplicate rows in my dataset. Is there any filters to >>>> remove >>>> > these? >>>> >>>> Not aware of a filter as part of Weka or one of its packages. >>>> However, the ADAMS framework has a RemoveDuplicates Weka filter that >>>> removes duplicate rows. >>>> I recommend downloading the "adams-ml-app-snapshot" zip file: >>>> https://adams.cms.waikato.ac.nz/download/snapshot/ >>>> >>>> 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 >>>> >>> _______________________________________________ >>> 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 > _______________________________________________ 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