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
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