Re: XGBoost Installation
Eibe Frank <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CADehzLX0j0nc6Me7701Y5FQvfpCHbCWYHSw6_1BEXrtTGxdH+w@mail.gmail.com> |
Which unofficial version do you mean? Both, RPlugin and wekaPython, are official packages, and both enable you to use XGBoost. With the RPlugin, you need to use XGBoost through the MLRClassifier and select XGBoost as the base learner (the first time you select this base learner, it will try to install it in R, which may take a while). Similarly, with wekaPython, you also need to use the corresponding ScikitLearnClassifier in WEKA with XGBoost as the base learner (and you need to have XGBoost installed in your relevant Python environment, which you may need to do manually). The easiest way to use XGBoost in WEKA is probably through the RPlugin because the only manual work you (normally) need to do is to install R. There might be an unofficial WEKA package for XGBoost out there, but it may not be maintained. Cheers, Eibe On Fri, Jun 4, 2021 at 4:49 PM <[email protected]> wrote: > Dear All, > > I have a mac with the latest version of R and python installed. I am using > WEKA for an assignment and need to use XGBoost. > I have tried downloading the unofficial version as a package however that > does not work. > I then tried the R Plugin version downloading RPlugin and pasting this in > the command line in WEKA: > export R_HOME=/Library/Frameworks/R.framework/Resources > java -Xss10M -Xmx4096M -cp .:weka.jar weka.gui.GUIChoose > > This however did not work either and R does not run. > > If anyone has a very specific step-by-step guide to getting XGBoost on > macOS please let me know! > > Kind regards, > PYB > _______________________________________________ > 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