Mailman 3 June 2023 - scikit-learn

[ANN] scikit-learn 0.24.0rc1 is online!
by Olivier Grisel Jan. 19, 2024

Jan. 19, 2024

Please help us test the first release candidate for scikit-learn 0.24.0: pip install scikit-learn==0.24.0rc1 Changelog: https://scikit-learn.org/0.24/whats_new/v0.24.html In particular, if you maintain a project with a dependency on scikit-learn, please let us know about any regression. Feel free to also retweet the announcement to get more people to test it before the final release (probably in 1 week or 2): https://twitter.com/scikit_learn/status/1334562221498753026 Thanks to anybody who helped make this happen! -- Olivier

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[ANNOUNCEMENT] scikit-learn 1.0 release
by Adrin June 30, 2023

June 30, 2023

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_relea… 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.

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Nightly wheels now uploaded to a new location
by Tim Head June 21, 2023

June 21, 2023

Hello all, The location to which the scikit-learn nightly wheels are uploaded has changed. They are now hosted at: https://anaconda.org/scientific-python-nightly-wheels. We will no longer upload wheels to the old location. Please update your CI and other tools where you make use of the nightlies to refer to the new location. The instructions for how to use the nightlies ( https://scikit-learn.org/dev/developers/advanced_installation.html#installi…) have been updated. The other wheels (numpy, scipy, etc) that used to be uploaded to the old location have also been moved. Please let us know about problems you find by replying to https://github.com/scikit-learn/scikit-learn/pull/26417. Tim

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version warning - do I have to fix the minor version when unpickling?
by Martin Gütlein June 15, 2023

June 15, 2023

Hi, I just got the warning: "site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.1.2 when using version 1.2.2. This might lead to breaking code or invalid results. Use at your own risk". because I only fixed the major version (i.e, my dependency is "scikit-learn>=1,<2"). I assumed that code version 1.2 is compatible to pickeled models from version 1.1. Is this not true? Do I have to change to fix the minor version instead (i.e., use "scikit-learn>=1.2,<1.3")? Kind regards, Martin

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