🌐 Mailman 3 August 2021 - 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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Open Source: sustainability and etiquette
by Reshama Shaikh Oct. 11, 2021

Oct. 11, 2021

Hello, I've seen some excellent resources that have explained open source, its sustainability, challenges and *indirectly, the etiquette*. I am starting to compile the list here [a]. This keynote by Stuart Geiger is a must-watch: The Invisible Work of Maintaining & Sustaining Open Source Software [b] There is one more video by Emily someone who was at Microsoft, but is now a professor somewhere, and I am trying to track that video down. I think it's from 2017. I'll add it to the list once I find it. If anyone knows the full name of the speaker, please share. [a] https://www.dataumbrella.org/open-source/open-source-sustainability [b] https://www.youtube.com/watch?v=PM3iltcaIL8 Best, 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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[TC Vote] Technical Committee vote: line length
by Gael Varoquaux Oct. 5, 2021

Oct. 5, 2021

This email is meant for the scikit-learn Technical Committee, and is on the public mailing list for transparency. The community has not been able to reach a strong consensus on an incredibly important decision: line length :) https://doodle.com/poll/wpp7c8343zy46v93?utm_source=poll&utm_medium=link So, the TCs need to make a vote. Members of the TC, please vote below by adding your name: Keep current 88 characters: Revert to 79 characters: As a reminder, the technical committee is made of: Alexandre Gramfort, Olivier Grisel, Adrin Jalali, Andreas Müller, Joel Nothman, Hanmin Qin, Gaël Varoquaux, and Roman Yurchak (according to https://scikit-learn.org/stable/governance.html) We have one week to vote, but if we do it in less time, no one will complain. Thanks! Gaël -- Gael Varoquaux Research Director, INRIA Visiting professor, McGill http://gael-varoquaux.info http://twitter.com/GaelVaroquaux

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pipeline diagram
by Reshama Shaikh Aug. 29, 2021

Aug. 29, 2021

Hello, This question is for the community (*not* the core contributors). In referencing the *diagram representation* of the pipeline [a], what would be the best way for you to find out what "strategy" (from: mean, median, most_frequent, constant) is being used for "SimpleImputer"? (Also, I am attaching a screenshot of the diagram.) It's not a quiz or anything [ :) ], I'm trying to figure out where folks would look first to get more information on the pipeline. [a] https://scikit-learn.org/dev/auto_examples/compose/plot_column_transformer_… Thanks, 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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LabelPropagation - transduction_ vs predict
by Aidan Gawronski Aug. 28, 2021

Aug. 28, 2021

Hi all, I was exploring sklearn.semi_supervised.LabelPropagation and I noticed that I get difference results if I train a model and look at "model.transduction_" compared to taking the same model and using "model.predict(X_train)" on the training data. I couldn't easily find the difference on google, so I began reading through the code but it seems pretty involved and I thought someone here might know the difference off hand. Any help is greatly appreciated :) Thanks, Aidan.

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scikit-learn monthly developer meeting: Monday August 30th 2021
by Thomas J. Fan Aug. 25, 2021

Aug. 25, 2021

Dear all, The scikit-learn developer monthly meeting will take place on Monday August 30th 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=… 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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Dataframe protocol RFC
by Olivier Grisel Aug. 25, 2021

Aug. 25, 2021

Hi all, This is an email to notify everybody interested that the discussion on interoperability of Python dataframe libraries has moved to an official repo under the data-apis.org initiative: https://data-apis.org/blog/dataframe_protocol_rfc/ https://github.com/data-apis/dataframe-api and they are requesting feedback from library authors (both dataframe providers and consumers). -- Olivier

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Pandas copy-on-write proposal
by Adrin Aug. 25, 2021

Aug. 25, 2021

Hi there, I'd like to bring your attention to a proposal being discussed among pandas developers, regarding copy-on-write semantics. A very short summary of the proposal, according to the document <https://docs.google.com/document/d/1ZCQ9mx3LBMy-nhwRl33_jgcvWo9IWdEfxDNQ2th…>, is: *- The result of any indexing operation (subsetting a DataFrame or Series in any way, i.e. including accessing a DataFrame column as a Series) or any method returning a new DataFrame or Series, always behaves as if it were a copy in terms of user API.- We implement Copy-on-Write (as implementation detail). This way, we can actually use views as much as possible under the hood, while ensuring the user API behaves as a copy.* *- As a consequence, if you want to modify an object (DataFrame or Series), the only way to do this is to modify that object itself directly.* *This addresses multiple aspects: 1) a clear and consistent user API (a clear rule: any subset or returned series/dataframe always behaves as a copy of the original, and thus never modifies the original) and 2) improving performance by avoiding excessive copies (eg a chained method workflow would no longer return an actual data copy at each step). Because every single indexing step behaves as a copy, this also means that with this proposal, “chained assignment” (with multiple setitem steps) will never work.* You can also read the related discussion on the pandas mailing list here <https://mail.python.org/pipermail/pandas-dev/2021-July/001358.html>. It would be nice for us to think about the implications of this proposal on our work related to supporting pandas dataframes. Cheers, Adrin

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cant install scikit-learn
by John Grenci Aug. 23, 2021

Aug. 23, 2021

Hello, hoping somebody can help me. I have tried.. what seems like everything. I get an OS error ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: 'C:\\Users\\ameri\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python39\\site-packages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-json-data-list-data_name-australian-limit-2-data_version-1-status-deactivated.json.gz' HINT: This error might have occurred since this system does not have Windows Long Path support enabled. You can find information on how to enable this at https://pip.pypa.io/warnings/enable-long-paths I tried enabling more than 260 characters as suggested, but that did not help gave me a different error actually. I don’t think it has to do with bits, as my computer is 64 bit. I also tried pip install sklearn I am at a loss at this point. PS- I am not the most techy of person. also, looked everywhere online that I could can somebody help? Thanks John

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how the skpot optimize avoids flats
by Masoud Azizi Aug. 22, 2021

Aug. 22, 2021

Hi to all Im new in sk mailing list :) I need your help about that how hyperoption avoids this flat places? is there a code address to findout that? see the attachment

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