🌐 Mailman 3 August 2022 - scikit-learn - python.org

[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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Query about backword compatibility of scikit-learn 1.2 with older versions of scikit-learn
by Mehul Kantaria Sept. 4, 2022

Sept. 4, 2022

Hello, I am going to start development of a tool with scikit-learn 1.2 as my project work. I have tried to search on the internet but I couldn't find it so I have sent this email. 1. My question is, if I use scikit-learn 1.2 for development of my tool and in future if new versions of scikit-learn will be released, will they be compatible with scikit-learn 1.2? 2. I would also like to know, from where I can find reverse compatibility of all versions of scikit-learn from 0.15 to 1.2? -- Thanks and Regards. Mehulkumar Kantaria *Master of Science - *Computer Engineering, SJSU, California, USA (2021-2023)

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ANN: New members in the Contributor Experience Team
by Guillaume Lemaître Aug. 25, 2022

Aug. 25, 2022

We are excited to welcome new members to the Contributor Experience Team: - Meekail Zain: https://github.com/Micky774 - Maxwell Liu: https://github.com/MaxwellLZH Both Meekail and Maxwell did tremendous contributions to scikit-learn. Looking forward to furthering interactions within the scikit-learn community. On the behalf of the scikit-learn team. -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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[ANN] scikit-learn 1.1.2 is online!
by Guillaume Lemaître Aug. 6, 2022

Aug. 6, 2022

scikit-learn 1.1.2 is out on pypi.org and conda-forge! This is a small maintenance release that fixes a couple of regressions: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn Thanks again to all the contributors. On behalf of the scikit-learn maintainer team. -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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Scikit-learn metrics - Maximal Marginal Relevance
by praveen thenraj Aug. 6, 2022

Aug. 6, 2022

Hi Team, I was looking for an implementation of the Maximal Marginal Relevance (MMR) function in the sklearn metrics module. But I am not able to find it. Can you please confirm if there are no predefined functions for MMR in sklearn library. If so can this be contributed to the sklearn library as open source? Thanks and Regards, Praveen Thenraj

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scikit-learn monthly developer meeting: Monday Sept 5, 2022
by Thomas J. Fan Aug. 3, 2022

Aug. 3, 2022

Dear all, The scikit-learn developer monthly meeting will take place on Monday Sept 5, 2022 at 20:30 UTC. - Video call link: https://meet.google.com/gmn-acub-mrr - Meeting notes / agenda: https://hackmd.io/0yokz72CTZSny8y3Re648Q - Local times: https://www.timeanddate.com/worldclock/meetingdetails.html?year=2022&month=… The goal of this meeting is to discuss ongoing development topics for the project. Everybody is welcome. As usual, please follow the code of conduct of the project: https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md Regards, Thomas

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