R help - May 2021 - multilabel classification XGBoost and hyperparameter tuning

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

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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]]
>
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>
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