I vote +1 Hopefully keyword-only args become normalized and a future will come where I won't see `x.sum(0)` anymore
VN On Sat, Sep 14, 2019 at 11:23 PM Thomas J Fan <thomasjp...@gmail.com> wrote: > +1 from me > > On Sat, Sep 14, 2019 at 8:12 AM Joel Nothman <joel.noth...@gmail.com> > wrote: > >> I am +1 for this change. >> >> I agree that users will accommodate the syntax sooner or later. >> >> On Fri., 13 Sep. 2019, 7:54 pm Jeremie du Boisberranger, < >> jeremie.du-boisberran...@inria.fr> wrote: >> >>> I don't know what is the policy about a sklearn 1.0 w.r.t api changes. >>> >>> If it's meant to be a special release with possible api changes without >>> deprecation cycles, I think this change is a good candidate for 1.0 >>> >>> >>> Otherwise I'm +1 and agree with Guillaume, people will get used to it by >>> using it. >>> >>> Jérémie >>> >>> >>> >>> On 12/09/2019 10:06, Guillaume Lemaître wrote: >>> >>> To the question: do we want to utilise Python 3's force-keyword-argument >>> syntax >>> and to change existing APIs which support arguments positionally to use >>> this >>> syntax, via a deprecation period? >>> >>> I am +1. >>> >>> IMO, even if the syntax might be unknown, it will remain unknown until >>> projects >>> from the ecosystem are not using it. >>> >>> To the question: which methods should be impacted? >>> >>> I think we should be as gentle as possible at first. I am a little >>> concerned about >>> breaking some codes which were working fine before. >>> >>> On Thu, 12 Sep 2019 at 04:43, Joel Nothman <joel.noth...@gmail.com> >>> wrote: >>> >>>> These there details of specific API changes to be decided: >>>> >>>> The question being put, as per the SLEP, is: >>>> do we want to utilise Python 3's force-keyword-argument syntax >>>> and to change existing APIs which support arguments positionally to use >>>> this syntax, via a deprecation period? >>>> _______________________________________________ >>>> scikit-learn mailing list >>>> scikit-learn@python.org >>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>> >>> >>> >>> -- >>> Guillaume Lemaitre >>> INRIA Saclay - Parietal team >>> Center for Data Science Paris-Saclay >>> https://glemaitre.github.io/ >>> >>> _______________________________________________ >>> scikit-learn mailing >>> listscikit-learn@python.orghttps://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 >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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