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!) a
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, Ad
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
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
wrote:
> Yeah!
>
> Thank you so much Adrin for all your efforts in getting this release out!
>
> Congratulations everyon
Congrats ! Bertrand
Le 24/09/2021 à 19:12, Olivier Grisel a écrit :
Yeah!
Thank you so much Adrin for all your efforts in getting this release out!
Congratulations everyone, time to celebrate!
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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 wrote:
> Hi everyone,
>
> We're happy to announce the 1.0 release w
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 , wrote:
> Hi everyone,
>
> We're happy to announce the 1.0 release which you can install
Yeah!
Thank you so much Adrin for all your efforts in getting this release out!
Congratulations everyone, time to celebrate!
--
Olivier
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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_
