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:

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-boisberranger@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.

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