Mailman 3 December 2021 - 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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Fwd: There is a problem with using "r2" to calculate cross_val_score and GridSearchCV scores
by Haylee Miller Dec. 27, 2021

Dec. 27, 2021

I don’t know if the email was successfully sent last time. I send it again now. I’m sorry to disturb you. ---------- Forwarded message --------- 发件人： Haylee Miller <mh.nwafu(a)gmail.com> Date: 2021年12月24日周五 21:17 Subject: There is a problem with using "r2" to calculate cross_val_score and GridSearchCV scores To: <scikit-learn(a)python.org> Dear sklearn developers： First of all, thank you for developing this module, it is very useful. However, recently we found a small problem in the use of cross_val_score and GridSearchCV. Using "scoring = ‘r2’" to calculate the cross_val_score and GridSearchCV scores is inconsistent with the result calculated using "metrics.r2_score". [image: 5.png] According to the principle of k-fold cross-validation, we performed manual 3-fold cross-validation and there was a big gap between the score and the result of cross_val_score. Below is the code and results of our manual verification process. [image: 1.png] [image: 2.png] [image: 3.png][image: 4.png] Theoretically, the three values in results 1-3 should be similar to the three values in cross_val_score 1 and cross_val_score 2. However, only the first value in cross_val_score 1 and cross_val_score 2 is close to the result 1-3 in figures. Why is this so, looking forward to your reply！ Finally, Merry Christmas！ Best wishes, Ma Hui

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[ANN] scikit-learn 1.0.2 is online!
by Guillaume Lemaître Dec. 25, 2021

Dec. 25, 2021

scikit-learn 1.0.2 is out on pypi.org and conda-forge! This is a small maintenance release that fixes a couple of regressions. Binaries and wheels are available for Python 3.10. https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-2 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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Community Office Hours
by Reshama Shaikh Dec. 21, 2021

Dec. 21, 2021

Hello, *scikit-learn: Community Office Hours* Beginning January 11, 2022, the scikit-learn team will be holding bi-weekly (every two weeks) office hours on Mondays. There is also a link to a public calendar which can be added manually: https://calendar.google.com/calendar/u/0/embed?src=social.scikitlearn@gmail… DATE: biweekly (every two weeks on Mondays) TIME: 10:00 PT / 13:00 ET / 18:00 UTC / 19:00 CET DURATION: 1 hour WHERE: Discord (https://discord.gg/N8dGHPpq <https://www.google.com/url?q=https://discord.gg/N8dGHPpq&sa=D&source=calend…> ) ABOUT First time, occasional and regular contributors are welcome to join us on Discord. The focus of these office hour sessions is to answer questions about contributing to scikit-learn. We can also split into break out audio/text channels and do pair programming or live reviewing of stalled pull requests with screen sharing. We can also try to assist you into crafting minimal reproduction cases for bug reports to get a higher likelihood of resolution (a). Please note, our Code of Conduct applies (b). (a) https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports <https://www.google.com/url?q=https://matthewrocklin.com/blog/work/2018/02/2…> (b) https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md <https://www.google.com/url?q=https://github.com/scikit-learn/scikit-learn/b…> Cheers, Reshama --- Reshama Shaikh she/her Blog <https://reshamas.github.io> | Twitter <https://twitter.com/reshamas> | LinkedIn <https://www.linkedin.com/in/reshamas/> | GitHub <https://github.com/reshamas> Data Umbrella <https://www.dataumbrella.org> NYC PyLadies <https://meet.meetup.com/wf/click?upn=pEEcc35imY7Cq0tG1vyTt6zEs68RbcMfjPcajN…>

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scikit-learn office hours on Monday Dec. 20, 2021
by Guillaume Lemaître Dec. 17, 2021

Dec. 17, 2021

Hi all, Some of us will be online on the scikit-learn discord next Monday at 10:00 PT / 13:00 ET / 18:00 UTC / 19:00 CET for about an hour or so. First time and occasional contributors are welcome to join us to discord using this invitation link: https://discord.gg/N8dGHPpq <https://discord.gg/N8dGHPpq> The focus of these office hour sessions is to answer questions about contributing to scikit-learn. We can also split into break out audio/text channels and do pair programming or live reviewing of forgotten pull requests with screen sharing. We can also try to assist you into crafting minimal reproduction cases for bug reports to get a higher likelihood of resolution (e.g. https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports> <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>>). Please note, our Code of Conduct applies: https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md <https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md> <https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md <https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md>> See you soon on discord! -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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[Data Umbrella] AFME (Africa & Middle East) scikit-learn open source sprint (scikit-learn)
by Reshama Shaikh Dec. 14, 2021

Dec. 14, 2021

Hello, Data Umbrella is organizing a scikit-learn sprint for this October 23, with a focus on **Africa and the Middle East**. This event is free. A sprint is a 4-hour hands-on hackathon where we work on beginner issues in the scikit-learn GitHub repository. Participants will be paired with another person. There will be core contributors available to answer any questions. Event website is: https://afme2021rc.dataumbrella.org We encourage folks to read the website and then complete the application. The event can be shared in these ways: - Retweet: https://twitter.com/DataUmbrella/status/1435972074842034184 - Share post on LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:6841738994305294336/ Please feel free to contact me if you have any questions. Cheers, Reshama Shaikh she/her

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scikit-learn 1 - pytest - multiprocessing Pool - hangs?
by Norbert Preining Dec. 10, 2021

Dec. 10, 2021

Dear all, I am trying to track down a strange behaviour in one of our (Fujitsu) library we are planning to open source. In preparation for that, I am trying to bring it into a state that it works with scikit-learn >= 1. But, some of our tests fail when running in parallel mode. But they only fail when running under pytest, but NOT when running under python. The library code contains def fit(self, X, y=None): ... p = multiprocessing.Pool() ret = _reduce( p.map(....)) Now what happens is that with scikit-learn 1(.0.1), the code hangs forever. I adjusted the code also so that the pool definition is not in the fit function, but in the __init__ function, and saved into self, but that didn't help either. When interrupted, pytest gives: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! KeyboardInterrupt !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! /home/norbert/.pyenv/versions/3.9.6/lib/python3.9/threading.py:312: KeyboardInterrupt (to show a full traceback on KeyboardInterrupt use --full-trace) ================================================ 1 passed, 2 warnings in 273.84s (0:04:33) ================================================= Exception ignored in: <function Pool.__del__ at 0x7ff72f31b9d0> Traceback (most recent call last): File "/home/norbert/.pyenv/versions/3.9.6/lib/python3.9/multiprocessing/pool.py", line 268, in __del__ self._change_notifier.put(None) File "/home/norbert/.pyenv/versions/3.9.6/lib/python3.9/multiprocessing/queues.py", line 378, in put self._writer.send_bytes(obj) File "/home/norbert/.pyenv/versions/3.9.6/lib/python3.9/multiprocessing/connection.py", line 205, in send_bytes self._send_bytes(m[offset:offset + size]) File "/home/norbert/.pyenv/versions/3.9.6/lib/python3.9/multiprocessing/connection.py", line 416, in _send_bytes self._send(header + buf) File "/home/norbert/.pyenv/versions/3.9.6/lib/python3.9/multiprocessing/connection.py", line 373, in _send n = write(self._handle, buf) While when running under python testfile.py all goes well. I have tested the following combinations: * scikit-learn 0.23.*, python 3.8 and python 3.9 => works * scikit-learn 0.24.*, python 3.8 and python 3.9 => works * scikit-learn 1.0.1, python 3.8 and python 3.9 => fails I don't really understand where scikit-learn comes into the play here, so I wanted to ask whether someone here has an idea. Thanks for any suggestion Norbert -- PREINING Norbert https://www.preining.info Fujitsu Research + IFMGA Guide + TU Wien + TeX Live + Debian Dev GPG: 0x860CDC13 fp: F7D8 A928 26E3 16A1 9FA0 ACF0 6CAC A448 860C DC13

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scikit-learn Triage-Focused Development Meeting: Friday December 10 2021
by Thomas J. Fan Dec. 9, 2021

Dec. 9, 2021

Hi all, Our triage-focused development meeting will be on Friday, December 10, 16:30 UTC. - Discord invite: https://discord.gg/92NYvrPSgU - Meeting notes / agenda: https://hackmd.io/C_qEdGapRm2V0kHLx8OcQw?both - Local times: https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=… Everyone is welcome to join us in prioritizing and discussing issues or pull requests. Please note, our Code of Conduct applies: https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md See you soon on discord! Regards, Thomas

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scikit-learn monthly developer meeting: Monday January 3rd 2022
by Thomas J. Fan Dec. 1, 2021

Dec. 1, 2021

Dear all, The scikit-learn developer monthly meeting will take place on Monday January 3rd at 22:00 UTC. - Video call link: https://meet.google.com/ews-uszu-djs - 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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