That is an impressive roadmap, and I certainly applaud the desire for perfection. That said, I feel that it is past time to bring sklearn out of beta. Most of what's on the roadmap looks like it would fit quite well into continuing development of a "stable" package, with no (or at least few) backwards-compatibility issues. just my 2 cents. Andrew <~~~~~~~~~~~~~~~~~~~~~~~~~~~> J. Andrew Howe, PhD LinkedIn Profile <http://www.linkedin.com/in/ahowe42> ResearchGate Profile <http://www.researchgate.net/profile/John_Howe12/> Open Researcher and Contributor ID (ORCID) <http://orcid.org/0000-0002-3553-1990> Github Profile <http://github.com/ahowe42> Personal Website <http://www.andrewhowe.com> I live to learn, so I can learn to live. - me <~~~~~~~~~~~~~~~~~~~~~~~~~~~> On Wed, Dec 4, 2019 at 10:04 AM Joel Nothman <joel.nothman@gmail.com> wrote:
The stacked estimators was certainly a team effort!
I am excited that we've finally got a consistent solution to using approximate nearest neighbors with our neighbors-based learners.
Why is it still version <1? Perhaps it shouldn't be. But it can be hard to set aside perfectionism!
And there's so much on the roadmap ( https://scikit-learn.org/stable/roadmap.html). But perhaps you've got a point.
On Wed, 4 Dec 2019 at 20:45, Andrew Howe <ahowe42@gmail.com> wrote:
This is an excellent release with some very cool new features! I'm quite chuffed about the stacked estimators especially. Great job team!
Scikit-learn is incredibly well-supported and tremendously full-featured. I have to ask; why is it still in beta?
Andrew
<~~~~~~~~~~~~~~~~~~~~~~~~~~~> J. Andrew Howe, PhD LinkedIn Profile <http://www.linkedin.com/in/ahowe42> ResearchGate Profile <http://www.researchgate.net/profile/John_Howe12/> Open Researcher and Contributor ID (ORCID) <http://orcid.org/0000-0002-3553-1990> Github Profile <http://github.com/ahowe42> Personal Website <http://www.andrewhowe.com> I live to learn, so I can learn to live. - me <~~~~~~~~~~~~~~~~~~~~~~~~~~~>
On Tue, Dec 3, 2019 at 12:53 PM Adrin <adrin.jalali@gmail.com> wrote:
We're happy to announce the 0.22 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22.
This version supports Python versions 3.5 to 3.8. You can give it a go using `pip install -U scikit-learn` while conda and conda forge binaries are coming.
Regards, Adrin, on behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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