Congrats everyone, this is awesome!!! I just started teaching an ML course this
semester and introduced scikit-learn this week -- it was a great timing to
demonstrate how well maintained the library is and praise all the efforts that
go into it :).
> I think model serialization should be a pri
First of all, congratulations on the release, great work, everyone!
I think model serialization should be a priority. Particularly,
I think that (whenever practical) there should be a way of
serializing estimators (either unfitted or fitted) in a text-readable
format,
prefereably JSON or PMML/PFA
I think we should work on the formatting, make sure it's complete, link
it to issues /PRs and
then make this into a public document on the website and request feedback.
Right now it's a bit in a format that is understandable for
core-developers but some of the things are not clear
to the averag
Le mer. 26 sept. 2018 à 23:02, Joel Nothman a
écrit :
> And for those interested in what's in the pipeline, we are trying to draft
> a roadmap...
> https://github.com/scikit-learn/scikit-learn/wiki/Draft-Roadmap-2018
>
> But there are no doubt many features that are absent there too.
>
Indeed, i
Joy !
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