Thank you Adrin, Your solution based on using Pandas DataFrames by leveraging the indexing that comes with them is pretty ingenious. Moreover, the whole StackOverflow page is quite interesting. I'll try also your suggestion.
Best, Emanuele On Wed, Jun 2, 2021 at 11:26 AM Adrin <adrin.jal...@gmail.com> wrote: > Hi Emanuele, > > In the meantime, you could also try the hack I have written here: > https://stackoverflow.com/questions/49581104/sklearn-gridsearchcv-not-using-sample-weight-in-score-function/49598597#49598597 > > Cheers, > Adrin > > On Sat, May 22, 2021 at 7:54 PM Emanuele Olivetti < > emanuele.olive...@gmail.com> wrote: > >> Hi Alex, >> >> Thank you for the quick response. That SLEP looks very interesting! >> Indeed I had the impression that there was no easy way around the issue of >> automatically passing additional (meta)data to scorers. Irrespective of my >> issue, I hope the SLEP will get the green light soon. >> >> Best, >> >> Emanuele >> >> On Sat, May 22, 2021 at 10:27 AM Alexandre Gramfort < >> alexandre.gramf...@inria.fr> wrote: >> >>> hi Emanuelle, >>> >>> I would suggest you have a look at >>> https://github.com/scikit-learn/enhancement_proposals/pull/55 >>> >>> it's work in progress though >>> >>> Alex >>> >>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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