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
Github Profile
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_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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