Bert Gunter
2021-May-27 14:44 UTC
[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 <agnesg2g at 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 at 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]]
Agnes g2g
2021-May-27 14:51 UTC
[R] multilabel classification XGBoost and hyperparameter tuning
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.4567 at gmail.com>
Verzonden: donderdag 27 mei 2021 16:44
Aan: Agnes g2g <agnesg2g at hotmail.com>
CC: r-help at r-project.org <r-help at 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 <agnesg2g at
hotmail.com<mailto:agnesg2g at 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 at r-project.org<mailto:R-help at 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]]
Bert Gunter
2021-May-27 16:06 UTC
[R] multilabel classification XGBoost and hyperparameter tuning
One other suggestion. Per the posting guide linked below, statistical issues such as your query on "hyperparameter tuning" are off topic on this list, as are questions about specific nonstandard packages. You might try posting on stats.stackexchange.com instead for help on such matters. 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 7:51 AM Agnes g2g <agnesg2g at 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.4567 at gmail.com> > *Verzonden:* donderdag 27 mei 2021 16:44 > *Aan:* Agnes g2g <agnesg2g at hotmail.com> > *CC:* r-help at r-project.org <r-help at 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 <agnesg2g at 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 at 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]]