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 <ahow...@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.jal...@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_release_highlights_0_22_0.html
>> 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.
>> _______________________________________________
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>> scikit-learn@python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
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