Hello, Following up on the recent release, there is a 12-minute video with scikit-learn v1.5.0 Highlights available on the YouTube channel: https://youtu.be/mOpU-zremz4
Video major topics include: a) TunedThresholdClassifierCV class >Among the new features, this new release introduces the TunedThresholdClassifierCV class that can adjust the decision threshold of any binary classifier to assign custom costs or gains to true/false positives/negatives. This is especially powerful to implement cost-sensitive learning, in particular when used in conjunction of per-individual side-metadata used in the cost function, thanks to our meta-data routing infrastructure. ( https://scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html#sphx-glr-auto-examples-model-selection-plot-cost-sensitive-learning-py ) b) new pydata sphinx website theme highlights --- Reshama Shaikh On Tue, May 21, 2024 at 3:04 PM Jérémie du Boisberranger < jeremie.du-boisberran...@inria.fr> wrote: > Hi everyone, > > We're happy to announce the 1.5.0 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_5_0.html > and the long list of the changes under > https://scikit-learn.org/stable/whats_new/v1.5.html > > This release also comes with a new theme for the https://scikit-learn.org > website ! > > This version supports Python versions 3.9 to 3.12. > > 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 >
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