From thomasjpfan at gmail.com Mon Sep 20 12:21:21 2021 From: thomasjpfan at gmail.com (Thomas J. Fan) Date: Mon, 20 Sep 2021 12:21:21 -0400 Subject: [scikit-learn] scikit-learn monthly developer meeting: Monday September 27th 2021 Message-ID: Dear all, The scikit-learn developer monthly meeting will take place on Monday September 27th at 1PM 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=2021&month=9&day=27&hour=13&min=0&sec=0&p1=1440&p2=240&p3=248&p4=195&p5=179&p6=224 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From adrin.jalali at gmail.com Fri Sep 24 12:38:40 2021 From: adrin.jalali at gmail.com (Adrin) Date: Fri, 24 Sep 2021 18:38:40 +0200 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release Message-ID: 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_release_highlights_1_0_0.html 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From olivier.grisel at ensta.org Fri Sep 24 13:12:34 2021 From: olivier.grisel at ensta.org (Olivier Grisel) Date: Fri, 24 Sep 2021 19:12:34 +0200 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: Yeah! Thank you so much Adrin for all your efforts in getting this release out! Congratulations everyone, time to celebrate! -- Olivier From mail at sebastianraschka.com Fri Sep 24 13:54:25 2021 From: mail at sebastianraschka.com (Sebastian Raschka) Date: Fri, 24 Sep 2021 12:54:25 -0500 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: <65a484c1-bbe1-4bd3-978c-d024377cfe3d@Spark> A 1.0 release is huge, and this is really awesome news! Very exciting! Congrats to the scikit-learn team and everyone who helped making this possible! Cheers, Sebastian On Sep 24, 2021, 11:40 AM -0500, Adrin , wrote: > 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_release_highlights_1_0_0.html 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. > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn -------------- next part -------------- An HTML attachment was scrubbed... URL: From satra at mit.edu Fri Sep 24 14:52:24 2021 From: satra at mit.edu (Satrajit Ghosh) Date: Fri, 24 Sep 2021 14:52:24 -0400 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: congratulations1 that's a significant milestone. even prior to this it's been amazing to see a relatively stable API over the years, and one that has influenced many others. cheers, satra On Fri, Sep 24, 2021 at 12:40 PM Adrin wrote: > 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_release_highlights_1_0_0.html > 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. > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -------------- next part -------------- An HTML attachment was scrubbed... URL: From bertrand.thirion at inria.fr Fri Sep 24 15:07:26 2021 From: bertrand.thirion at inria.fr (bthirion) Date: Fri, 24 Sep 2021 21:07:26 +0200 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: <26a8e527-bda4-0578-12db-5346dedd9614@inria.fr> Congrats !? Bertrand Le 24/09/2021 ? 19:12, Olivier Grisel a ?crit?: > Yeah! > > Thank you so much Adrin for all your efforts in getting this release out! > > Congratulations everyone, time to celebrate! > From reshama.stat at gmail.com Sat Sep 25 17:05:05 2021 From: reshama.stat at gmail.com (Reshama Shaikh) Date: Sat, 25 Sep 2021 17:05:05 -0400 Subject: [scikit-learn] [Data Umbrella] AFME (Africa & Middle East) scikit-learn open source sprint (scikit-learn) Message-ID: 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From joel.nothman at gmail.com Sun Sep 26 07:22:13 2021 From: joel.nothman at gmail.com (Joel Nothman) Date: Sun, 26 Sep 2021 21:22:13 +1000 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: Thanks to some amazing work from the core development team, as well as our triagers, and other contributors. We finally got here! On Sat, 25 Sept 2021 at 03:13, Olivier Grisel wrote: > Yeah! > > Thank you so much Adrin for all your efforts in getting this release out! > > Congratulations everyone, time to celebrate! > > -- > Olivier > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbbrown at kuhp.kyoto-u.ac.jp Sun Sep 26 16:14:52 2021 From: jbbrown at kuhp.kyoto-u.ac.jp (Brown J.B.) Date: Sun, 26 Sep 2021 22:14:52 +0200 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: Congratulations to all of those who volunteered so much effort over so many years to achieve a 1.0. In my experiences in research academia and now in industry, scikit-learn is such a workhorse relied on by many individuals and companies, and the many who donated their efforts have made it possible for so many people (including me!) to enhance their research or development. With deep appreciation, J.B. Brown Principal Scientist, Boehringer-Ingelheim Pharma, Germany Associate Professor, Kyoto University, Japan 2021?9?26?(?) 13:23 Joel Nothman : > Thanks to some amazing work from the core development team, as well as our > triagers, and other contributors. We finally got here! > > On Sat, 25 Sept 2021 at 03:13, Olivier Grisel > wrote: > >> Yeah! >> >> Thank you so much Adrin for all your efforts in getting this release out! >> >> Congratulations everyone, time to celebrate! >> >> -- >> Olivier >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn at python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -------------- next part -------------- An HTML attachment was scrubbed... URL: From gael.varoquaux at normalesup.org Mon Sep 27 03:09:45 2021 From: gael.varoquaux at normalesup.org (Gael Varoquaux) Date: Mon, 27 Sep 2021 09:09:45 +0200 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: References: Message-ID: <20210927070945.2byczdcer3uk3z3c@phare.normalesup.org> Thank you to Adrin for stewarding this release, and congratulation to all the team for merging all the improvements. Scikit-learn is a foundation of machine learning in Python. Solid releases and stability over time is a service to the community. Ga?l On Fri, Sep 24, 2021 at 06:38:40PM +0200, Adrin wrote: > 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_release_highlights_1_0_0.html 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. > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn -- Gael Varoquaux Research Director, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux From dabruro at gmail.com Mon Sep 27 09:11:43 2021 From: dabruro at gmail.com (David R) Date: Mon, 27 Sep 2021 09:11:43 -0400 Subject: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release In-Reply-To: <20210927070945.2byczdcer3uk3z3c@phare.normalesup.org> References: <20210927070945.2byczdcer3uk3z3c@phare.normalesup.org> Message-ID: Congrats, everyone! To me the most exciting part is HistGradientBoostingRegressor and HistGradientBoostingClassifier no longer being experimental, especially with their native handling of categorical variables (no more unnecessary compromises of choosing a particular numeric encoding strategy!) and of missing values** (without imputation). This finally puts scikit-learn in the same class as R implementations for tree-based gradient boosting. **(Since it treats feature missingness as a predictive value we just have to be careful that the missingness does not have target leakage by being target-correlated in any way that won't be in effect at prediction time in production, e.g. if the feature was often simply not stored whenever the target turned out negative.) - David Rosen On Mon, Sep 27, 2021 at 4:06 AM Gael Varoquaux < gael.varoquaux at normalesup.org> wrote: > Thank you to Adrin for stewarding this release, and congratulation to all > the team for merging all the improvements. > > Scikit-learn is a foundation of machine learning in Python. Solid > releases and stability over time is a service to the community. > > Ga?l > > On Fri, Sep 24, 2021 at 06:38:40PM +0200, Adrin wrote: > > 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_release_highlights_1_0_0.html 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. > > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn at python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > > -- > Gael Varoquaux > Research Director, INRIA > http://gael-varoquaux.info http://twitter.com/GaelVaroquaux > _______________________________________________ > scikit-learn mailing list > scikit-learn at python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -------------- next part -------------- An HTML attachment was scrubbed... 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