🌐 Mailman 3 September 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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Scientific Python SPECs : CI Best Practices
by Chiara Marmo Sept. 29, 2022

Sept. 29, 2022

Dear list, This can be of interest for CI involved people. The SPEC in progress https://scientific-python.org/specs/spec-0005/ And the related discussion https://discuss.scientific-python.org/t/spec-5-ci-best-practices/507 All the best, Chiara

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methods available from last estimator in pipeline
by Gregory, Matthew Sept. 26, 2022

Sept. 26, 2022

Hi all, I have what is probably a silly question. I read this passage on [1]: """ The pipeline has all the methods that the last estimator in the pipeline has, i.e. if the last estimator is a classifier, the Pipeline can be used as a classifier. If the last estimator is a transformer, again, so is the pipeline. """ I'm trying to create a pipeline where my last estimator is a KNeighborsClassifier and, instead of predict(), I was hoping to use kneighbors(). But unfortunately, when in a pipeline, I'm getting this AttributeError: AttributeError: 'Pipeline' object has no attribute 'kneighbors' Is kneighbors() really available from the Pipeline? Or is there an alternative way to call an element in the Pipeline to use it? I tried "pipe[-1].kneighbors(X)", but that doesn't seem to be applying the earlier transforms in the pipeline. Thanks for any pointers, matt [1] https://scikit-learn.org/stable/modules/compose.html

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New core developer: Meekail Zain
by Thomas J. Fan Sept. 19, 2022

Sept. 19, 2022

The core developers for Scikit-learn have recently voted to welcome Meekail Zain to the team, recognizing Zain's efforts and trustworthiness as a contributor. Congratulations, and thank you!

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scikit-learn monthly developer meeting: Monday Sept 26, 2022
by Thomas J. Fan Sept. 19, 2022

Sept. 19, 2022

Dear all, The scikit-learn developer monthly meeting will take place on Monday Sept 26, 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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Fwd: [SciPy-Dev] Use of another CI provider for native linux_aarch64 and macosx_arm64
by Adrin Sept. 16, 2022

Sept. 16, 2022

Just FYI. The difference in build times seem quite significant. ---------- Forwarded message --------- From: Andrew Nelson <andyfaff(a)gmail.com> Date: Fri, Sep 16, 2022 at 12:37 PM Subject: [SciPy-Dev] Use of another CI provider for native linux_aarch64 and macosx_arm64 To: scipy-dev <scipy-dev(a)python.org> Hi all, I've been investigating the use of cirrus-ci for native building of wheels for linux_aarch64. Currently it takes about 2 hours to build a wheel on Github Actions using emulation, but on cirrus-ci it's about 5 minutes. This will enable us to fully test the wheels that are produced, rather than just a subset of tests. It would also be possible to build macosx_arm64 wheels natively rather than a cross compile. Native builds are a huge plus, as it's a lot less complicated when compiling code. It would also be a possibility to have regular CI on those platforms, which are currently not being tested at all in our CI suite. Does anyone have comments on the use of yet another CI provider? I have a PR open in anticipation of a warm response, https://github.com/scipy/scipy/pull/17029. You can see a build, and the artifacts produced at https://cirrus-ci.com/build/6727646015913984. cheers, Andrew. _______________________________________________ SciPy-Dev mailing list -- scipy-dev(a)python.org To unsubscribe send an email to scipy-dev-leave(a)python.org https://mail.python.org/mailman3/lists/scipy-dev.python.org/ Member address: adrin.jalali(a)gmail.com

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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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