ANN: scikit-learn 0.22 final release
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.
Awesome! Thank you for all the work on the release! This is a big one! Are we tweeting with the repurposed twitter account? Andy On 12/3/19 7:50 AM, Adrin 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
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
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
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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
_______________________________________________ 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
Maybe we can discuss this in https://github.com/scikit-learn/scikit-learn/issues/14386 ? I think I have come to agree that we should just do 1.0 and if we want to make any big changes that should be 2.0. On 12/4/19 6:19 AM, Andrew Howe wrote:
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 <mailto: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 <mailto: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 <mailto: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 <mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________ scikit-learn mailing list scikit-learn@python.org <mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________ scikit-learn mailing list scikit-learn@python.org <mailto: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
This is a minor release including a few bug fixes. Here is the full changelog: https://scikit-learn.org/stable/whats_new/v0.22.html#version-0-22-2 The 0.22.2.post1 release includes a packaging fix for the source distribution but the content of the packages is otherwise identical to the content of the wheels with the 0.22.2 version (without the .post1 suffix). Thank you very much to all who contributed to this release ! Regards, Jérémie, on behalf of the scikit-learn maintainer team.
participants (5)
-
Adrin -
Andreas Mueller -
Andrew Howe -
Jeremie du Boisberranger -
Joel Nothman