Hello Agnes, Yes, it is true, "xgboost" is not oriented for a "multi-label" classification. "xgboost" can handle "multi-class" but not "multi-label".
Bue in "mlr", you can handle "multi-class" problems although not with "xgboost" a base learner algorithm. You can see here how you can handle that with "mlr": - https://mlr.mlr-org.com/articles/tutorial/multilabel.html Besides that, you can see if these other alternatives could work for your problem: - "utiml" was one of them but now it's not avaialble on CRAN ( https://github.com/rivolli/utiml). - And this other one "mldr" could help you out: https://cran.r-project.org/web/packages/mldr/vignettes/mldr.pdf. Thanks, Carlos. On Thu, May 27, 2021 at 7:30 PM Agnes g2g <agnes...@hotmail.com> wrote: > Thank you for your reply. > As far as I can see xgboost package does not provide multilabel > classification. > The mlr package uses a wrapper for xgboost, so I have used the package > xgboost. But I still have the problem with the hyperparameter tuning. > > Did I understand you correctly? > Do you have any other suggestion? > > Bye, > Agnes > > ________________________________ > Van: Bert Gunter <bgunter.4...@gmail.com> > Verzonden: donderdag 27 mei 2021 16:44 > Aan: Agnes g2g <agnes...@hotmail.com> > CC: r-help@r-project.org <r-help@r-project.org> > Onderwerp: Re: [R] multilabel classification XGBoost and hyperparameter > tuning > > 1. A web search on "xgboost R" brought up R package "xgboost" which you > did not mention. Did you not first try a web search or did you find that it > did not meet your needs? > > 2. Have you looked here: > https://cran.r-project.org/web/views/Cluster.html > or here: https://cran.r-project.org/web/views/MachineLearning.html > > Cran's "task views" are a useful resource for such "does R have...?" > questions. > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, May 27, 2021 at 7:29 AM Agnes g2g <agnes...@hotmail.com<mailto: > agnes...@hotmail.com>> wrote: > Hi all, > > I want to do multilabel classification with XGBoost and tune > hyperparameters. > With the mlr package this does not seem possible, see > https://stackoverflow.com/questions/67640953/feature-names-stored-in-object-and-newdata-are-different-using-mlr-package?noredirect=1#comment119651508_67640953 > > Any ideas how to solve this? > > What other packages support multilabel classification for XGBoost and has > the possibility to tune hyperparameters? > > Thanks in advance! > > Bye, > Agnes > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org<mailto:R-help@r-project.org> mailing list -- To > UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
