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
