[ANNOUNCEMENT] scikit-learn 1.0 release
Hi everyone, We're happy to announce the 1.0 release which you can install via pip or conda: pip install -U scikit-learn or conda install -c conda-forge scikit-learn You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.0.html New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more! This version supports Python versions 3.7 to 3.9. A big thanks to all contributors for making this release possible. Regards, Adrin, On the behalf of the scikit-learn maintainer team.
Yeah! Thank you so much Adrin for all your efforts in getting this release out! Congratulations everyone, time to celebrate! -- Olivier
Thanks to some amazing work from the core development team, as well as our triagers, and other contributors. We finally got here! On Sat, 25 Sept 2021 at 03:13, Olivier Grisel <olivier.grisel@ensta.org> wrote:
Yeah!
Thank you so much Adrin for all your efforts in getting this release out!
Congratulations everyone, time to celebrate!
-- Olivier _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Congratulations to all of those who volunteered so much effort over so many years to achieve a 1.0. In my experiences in research academia and now in industry, scikit-learn is such a workhorse relied on by many individuals and companies, and the many who donated their efforts have made it possible for so many people (including me!) to enhance their research or development. With deep appreciation, J.B. Brown Principal Scientist, Boehringer-Ingelheim Pharma, Germany Associate Professor, Kyoto University, Japan 2021年9月26日(日) 13:23 Joel Nothman <joel.nothman@gmail.com>:
Thanks to some amazing work from the core development team, as well as our triagers, and other contributors. We finally got here!
On Sat, 25 Sept 2021 at 03:13, Olivier Grisel <olivier.grisel@ensta.org> wrote:
Yeah!
Thank you so much Adrin for all your efforts in getting this release out!
Congratulations everyone, time to celebrate!
-- Olivier _______________________________________________ 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
A 1.0 release is huge, and this is really awesome news! Very exciting! Congrats to the scikit-learn team and everyone who helped making this possible! Cheers, Sebastian On Sep 24, 2021, 11:40 AM -0500, Adrin <adrin.jalali@gmail.com>, wrote:
Hi everyone,
We're happy to announce the 1.0 release which you can install via pip or conda:
pip install -U scikit-learn
or
conda install -c conda-forge scikit-learn
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.0.html
New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more!
This version supports Python versions 3.7 to 3.9.
A big thanks to all contributors for making this release possible.
Regards, Adrin, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
congratulations1 that's a significant milestone. even prior to this it's been amazing to see a relatively stable API over the years, and one that has influenced many others. cheers, satra On Fri, Sep 24, 2021 at 12:40 PM Adrin <adrin.jalali@gmail.com> wrote:
Hi everyone,
We're happy to announce the 1.0 release which you can install via pip or conda:
pip install -U scikit-learn
or
conda install -c conda-forge scikit-learn
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.0.html
New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more!
This version supports Python versions 3.7 to 3.9.
A big thanks to all contributors for making this release possible.
Regards, Adrin, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Thank you to Adrin for stewarding this release, and congratulation to all the team for merging all the improvements. Scikit-learn is a foundation of machine learning in Python. Solid releases and stability over time is a service to the community. Gaël On Fri, Sep 24, 2021 at 06:38:40PM +0200, Adrin wrote:
Hi everyone,
We're happy to announce the 1.0 release which you can install via pip or conda:
pip install -U scikit-learn
or
conda install -c conda-forge scikit-learn
You can read the release highlights under https://scikit-learn.org/stable/ auto_examples/release_highlights/plot_release_highlights_1_0_0.html and the long list of the changes under https://scikit-learn.org/stable/whats_new/ v1.0.html
New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more!
This version supports Python versions 3.7 to 3.9.
A big thanks to all contributors for making this release possible.
Regards, Adrin, On the behalf of the scikit-learn maintainer team.
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
-- Gael Varoquaux Research Director, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux
Congrats, everyone! To me the most exciting part is HistGradientBoostingRegressor and HistGradientBoostingClassifier no longer being experimental, especially with their native handling of categorical variables (no more unnecessary compromises of choosing a particular numeric encoding strategy!) and of missing values** (without imputation). This finally puts scikit-learn in the same class as R implementations for tree-based gradient boosting. **(Since it treats feature missingness as a predictive value we just have to be careful that the missingness does not have target leakage by being target-correlated in any way that won't be in effect at prediction time in production, e.g. if the feature was often simply not stored whenever the target turned out negative.) - David Rosen On Mon, Sep 27, 2021 at 4:06 AM Gael Varoquaux < gael.varoquaux@normalesup.org> wrote:
Thank you to Adrin for stewarding this release, and congratulation to all the team for merging all the improvements.
Scikit-learn is a foundation of machine learning in Python. Solid releases and stability over time is a service to the community.
Gaël
On Fri, Sep 24, 2021 at 06:38:40PM +0200, Adrin wrote:
Hi everyone,
We're happy to announce the 1.0 release which you can install via pip or conda:
pip install -U scikit-learn
or
conda install -c conda-forge scikit-learn
You can read the release highlights under https://scikit-learn.org/stable/ auto_examples/release_highlights/plot_release_highlights_1_0_0.html and the long list of the changes under https://scikit-learn.org/stable/whats_new/ v1.0.html
New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more!
This version supports Python versions 3.7 to 3.9.
A big thanks to all contributors for making this release possible.
Regards, Adrin, On the behalf of the scikit-learn maintainer team.
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
-- Gael Varoquaux Research Director, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Hi everyone, We're happy to announce the 1.1 release which you can install via pip or conda: pip install -U scikit-learn or (soon) conda install -c conda-forge scikit-learn The wheels for arm64 are not available yet on PyPI though. We'll add them as soon as possible. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.1.html This version supports Python versions 3.8 to 3.10. A big thanks to all contributors who helped on this release. Regards, Jérémie, On the behalf of the scikit-learn maintainer team.
Thanks a ton for the efforts Jeremie! Delighted to see the release out! On Thu, May 12, 2022 at 5:21 PM Jeremie du Boisberranger < jeremie.du-boisberranger@inria.fr> wrote:
Hi everyone,
We're happy to announce the 1.1 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
The wheels for arm64 are not available yet on PyPI though. We'll add them as soon as possible.
You can read the release highlights under
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.1.html
This version supports Python versions 3.8 to 3.10.
A big thanks to all contributors who helped on this release.
Regards, Jérémie, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Congrats Jeremie and everybody who contributed to this release! This is a great achievement. -- Olivier
Congratulations ! B Le 12/05/2022 à 17:20, Jeremie du Boisberranger a écrit :
Hi everyone,
We're happy to announce the 1.1 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
The wheels for arm64 are not available yet on PyPI though. We'll add them as soon as possible.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.1.html
This version supports Python versions 3.8 to 3.10.
A big thanks to all contributors who helped on this release.
Regards, Jérémie, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Wohoo!! Thank you so much. This is so exciting: all those nice improvements reaching so much users. Gaël On Thu, May 12, 2022 at 05:20:24PM +0200, Jeremie du Boisberranger wrote:
Hi everyone,
We're happy to announce the 1.1 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
The wheels for arm64 are not available yet on PyPI though. We'll add them as soon as possible.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.1.html
This version supports Python versions 3.8 to 3.10.
A big thanks to all contributors who helped on this release.
Regards, Jérémie, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
-- Gael Varoquaux Research Director, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux
awesome ! 👏 Alex On Thu, May 12, 2022 at 6:53 PM Gael Varoquaux < gael.varoquaux@normalesup.org> wrote:
Wohoo!! Thank you so much. This is so exciting: all those nice improvements reaching so much users.
Gaël
On Thu, May 12, 2022 at 05:20:24PM +0200, Jeremie du Boisberranger wrote:
Hi everyone,
We're happy to announce the 1.1 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
The wheels for arm64 are not available yet on PyPI though. We'll add them as soon as possible.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.1.html
This version supports Python versions 3.8 to 3.10.
A big thanks to all contributors who helped on this release.
Regards, Jérémie, On the behalf of the scikit-learn maintainer team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
-- Gael Varoquaux Research Director, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
We're happy to announce the 1.1 release which you can install via pip or
Congratulations to the team! Norbert -- PREINING Norbert https://www.preining.info Mercari Inc. + IFMGA Guide + TU Wien + TeX Live GPG: 0x860CDC13 fp: F7D8 A928 26E3 16A1 9FA0 ACF0 6CAC A448 860C DC13
Hi everyone, We're happy to announce the 1.2 release which you can install via pip or conda: pip install -U scikit-learn or (soon) conda install -c conda-forge scikit-learn You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.2.html This version supports Python versions 3.8 to 3.11. A big thanks to all contributors who helped on this release. Jérémie, On the behalf of the Scikit-learn maintainers team.
Thanks a lot Jeremie. This is a massive release :) On Thu, Dec 8, 2022 at 3:17 PM Jeremie du Boisberranger < jeremie.du-boisberranger@inria.fr> wrote:
Hi everyone,
We're happy to announce the 1.2 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
You can read the release highlights under
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.2.html
This version supports Python versions 3.8 to 3.11.
A big thanks to all contributors who helped on this release.
Jérémie, On the behalf of the Scikit-learn maintainers team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Hi everyone, We're happy to announce the 1.3.0 release which you can install via pip or conda: pip install -U scikit-learn or (soon) conda install -c conda-forge scikit-learn You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.3.html This version supports Python versions 3.8 to 3.11. Thanks to all contributors who helped on this release ! Jérémie, On behalf of the scikit-learn maintainers team.
Thank you Jeremie to have taking care of this release. On Fri, 30 Jun 2023 at 10:13, Jeremie du Boisberranger < jeremie.du-boisberranger@inria.fr> wrote:
Hi everyone,
We're happy to announce the 1.3.0 release which you can install via pip or conda:
pip install -U scikit-learn
or (soon)
conda install -c conda-forge scikit-learn
You can read the release highlights under
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_releas... and the long list of the changes under https://scikit-learn.org/stable/whats_new/v1.3.html
This version supports Python versions 3.8 to 3.11.
Thanks to all contributors who helped on this release !
Jérémie, On behalf of the scikit-learn maintainers team. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
-- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/
participants (13)
-
Adrin -
Alexandre Gramfort -
Brown J.B. -
bthirion -
David R -
Gael Varoquaux -
Guillaume Lemaître -
Jeremie du Boisberranger -
Joel Nothman -
Norbert Preining -
Olivier Grisel -
Satrajit Ghosh -
Sebastian Raschka