Re: XGBoost Installation

Prakash Bhagat <[email protected]> Fri, 4 Jun 2021 14:04:26 +0200
Newsgroups	gmane.comp.ai.weka
Message-ID	<[email protected]>
Yes, I have followed this guide: https://riptutorial.com/weka/topic/7916/how-to-use-r-in-weka <https://riptutorial.com/weka/topic/7916/how-to-use-r-in-weka>
I pasted this in the command line in WEKA: export R_HOME=/Library/Frameworks/R.framework/Resources
java -Xss10M -Xmx4096M -cp .:weka.jar weka.gui.GUIChooser

And this is the error from weka:


Kind regards,
Prakash



> On 04 Jun,2021, at 13:52, Eibe Frank <[email protected]> wrote:
> 
> Are you still running WEKA with R_HOME set to some value? It is normally best to let WEKA set the value of R_HOME itself.
> 
> If there are any error messages shown in the terminal from which you run WEKA, it would be useful to share those.
> 
> Cheers,
> Eibe
> 
> On Fri, Jun 4, 2021 at 11:43 PM Prakash Bhagat <[email protected] <mailto:[email protected]>> wrote:
> https://github.com/SigDelta/weka-xgboost/releases <https://github.com/SigDelta/weka-xgboost/releases> - This is the link I used to download xgboost.
> Using this downloaded I installed xgboost as an unofficial package in tools. It then comes under trees however does not run.
> 
> With the RPlugin the MLR classifier is unavailable to use. I have downloaded a new version of R and within R I also downloaded the MLR package. This still however does not run.
> I have installed rJava within R as well.
> <Screenshot 2021-06-04 at 11.51.31.png>
>> On 04 Jun,2021, at 11:07, Eibe Frank <[email protected] <mailto:[email protected]>> wrote:
>> 
>> 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] <mailto:[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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