🌐 Mailman 3 February 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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Spanish translation proposal for Scikit-Learn documentation
by Mariangela Petrizzo Aug. 17, 2021

Aug. 17, 2021

Dear Scikit-Learn team! I am Mariángela Petrizzo, I am writing to you as a member of Qu4nt, a team dedicated to the use of open source tools for the development of software solutions with emphasis on data science. We have a strong interest in translating the Scikit-Learn documentation into Spanish. Our team is made up of members from various scientific fields, including some university faculty in linguistics and computer sciences, with a wide experience in Python as well as several libraries used for data analysis and machine learning, and also contribute locally as evangelists of its use in Spanish-speaking communities, in particular, the leader initiated the translation of some Software Carpentry lessons into Spanish. That is why we have been discussing the opportunity to offer our contribution to the Python project, promoting the translation into Spanish of the documentation of some of the libraries with the greatest impact in our areas of interest. Talking with David Mertz, to whom we are sending a copy of this email, we have explored options, and the idea of working with Scikit-learn has really seemed to be an exceptional opportunity for all of us and the community. He's very enthusiastic about the idea of generating a spanish translation of Scientific Python libraries like Scikit-learn. For us, this translation project has to be done through a completely open work on Github, taking as reference the restructured text sources for Sphinx from a git fork, using the tools provided by Sphinx itself for internationalization: https://www.sphinx-doc.org/en/1.8/intl.html, and applying tags to perform planned updates. In addition, as with any open source project, the main mechanism for quality assurance comes from the users themselves who will have the channels available for submitting issues. Our intention is to secure all the infrastructure and mechanisms to make this possible: making the process transparent through Github, using as much as possible tools like Transifex to facilitate participation, and providing guidelines for contributors as part of the project. Of course, this project cannot be realized without your support. We therefore come to you to inquire about your willingness to accompany and support this project. We would love to hear your feedback on our proposal. Best regards, Mariángela -- María Ángela Petrizzo Páez [image: https://] [image: https://]about.me/petrizzo <https://about.me/petrizzo?promo=email_sig&utm_source=product&utm_medium=ema…> Descárgate Redes para la Comprensión de la Política <http://www.elperroylarana.gob.ve/redes-para-la-comprension-de-la-politica/> *A quienes conservan la esperanza que no es lo último que se pierde, sino lo primero que se siembra y, por tanto, lo más radical.* El único modo de vencer el secuestro del conocimiento es comprender sus razones. La manera de revertirlo, es hacernos hackers de los secuestros cotidianos a cambio de no morir sin saber lo que somos ¡Piensa para vivir, actúa para hackear! Cada día, una acción procomún a la vez. *“Tengo horror de aquellos cuyas palabras van más allá que sus actos”* *Albert Camus* *“El poder, lejos de estorbar al saber, lo produce.” - **Michael Foucault* Usuario Linux # 498889 Miembro Red de Politólogas - #NoSinMujeres <http://www.nosinmujeres.com/> https://hotelescuela.academia.edu/MariangelaPetrizzoPaez http://orcid.org/0000-0001-9483-4185 PEII - Nivel B

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[Vote] SLEP006: Routing sample-aligned metadata
by Joel Nothman March 9, 2021

March 9, 2021

With thanks to Alex, Adrin and Christian, we have a proposal to implement what we used to call "sample props" that should be expressive enough for us to resolve tens of issues and PRs, but will be largely unobtrusive for most current users. Core developers, please cast your vote in this PR <https://github.com/scikit-learn/enhancement_proposals/pull/52> after considering the proposal here <https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep006…>, which has a partial implementation in #16079 <https://github.com/scikit-learn/scikit-learn/pull/16079>. In brief, the problem we are trying to solve: Scikit-learn has limited support for information pertaining to each sample (henceforth “sample properties”) to be passed through an estimation pipeline. The user can, for instance, pass fit parameters to all members of a FeatureUnion, or to a specified member of a Pipeline using dunder (__) prefixing: >>> from sklearn.pipeline import Pipeline>>> from sklearn.linear_model import LogisticRegression>>> pipe = Pipeline([('clf', LogisticRegression())])>>> pipe.fit([[1, 2], [3, 4]], [5, 6],... clf__sample_weight=[.5, .7]) Several other meta-estimators, such as GridSearchCV, support forwarding these fit parameters to their base estimator when fitting. Yet a number of important use cases are currently not supported. Features we currently do not support and wish to include: - passing sample properties (e.g. sample_weight <https://scikit-learn.org/stable/glossary.html#term-sample_weight>) to a scorer used in cross-validation - passing sample properties (e.g. groups <https://scikit-learn.org/stable/glossary.html#term-groups>) to a CV splitter in nested cross validation - passing sample properties (e.g. sample_weight <https://scikit-learn.org/stable/glossary.html#term-sample_weight>) to some scorers and not others in a multi-metric cross-validation setup Solution: Each consumer requests A meta-estimator provides along to its children only what they request. A meta-estimator needs to request, on behalf of its children, any metadata that descendant consumers request. Each object that could receive metadata should have a method called get_metadata_request() which returns a dict that specifies which metadata is consumed by each of its methods (keys of this dictionary are therefore method names, e.g. fit <https://scikit-learn.org/stable/glossary.html#term-fit>, transform <https://scikit-learn.org/stable/glossary.html#term-transform> etc.). Estimators supporting weighted fitting may return {} by default, but have a method called request_sample_weight which allows the user to specify the requested sample_weight <https://scikit-learn.org/stable/glossary.html#term-sample_weight> in each of its methods. make_scorer accepts request_metadata as keyword parameter through which the user can specify what metadata is requested. Regards, Joel

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Question RE: skLearn Logistic Regression
by The Helmbolds March 6, 2021

March 6, 2021

I have a case with binary results and 1-D features, like: X = np.array(-3,-2,-1,0,1,2,3,) and y = np.array(0, 0, 0, 1, 1, 1, 1) only longer arrays (about 180 entries in each array) of this general type. So this should be the "simplest" case. Altho I've tried several variations of the Logistic input formats, in LogisticRegression.fit(X, y) they keep being rejected with the most common error message being Missing argument y I assure you I do indeed have an array "y" that is passed to "fit" So----What do I have to do to get Logistic Regression to accept 1-D features?

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Monthly meeting February 22nd 2021
by Chiara Marmo Feb. 18, 2021

Feb. 18, 2021

Dear list, The scikit-learn monthly meeting will take place on Monday February 22nd at 8PM UTC: <https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=…> <https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=…> https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=… <https://www.google.com/url?q=https://www.timeanddate.com/worldclock/meeting…> <https://www.google.com/url?q=https://www.timeanddate.com/worldclock/meeting…> While these meetings are mainly for core-devs to discuss the current topics, we are also happy to welcome non-core devs and other project maintainers. Feel free to join, using the following link: https://meet.google.com/xhq-yoga-rtf If you plan to attend and you would like to discuss something specific about your contribution please add your name (or github pseudo) in the " Contributors <https://hackmd.io/AOY6-uVBQZmsOluLrtHblA#Contributors>" section, of the public pad: <https://hackmd.io/qtKt7pTNSXanU-MJOIMxbw> https://hackmd.io/AOY6-uVBQZmsOluLrtHblA Best Chiara

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Issue in BIRCH clustering algo
by Farzana Anowar Feb. 11, 2021

Feb. 11, 2021

Hello everyone, I was trying to run the BIRCH clustering algorithm. However, after fitting the model I am facing the following error: AttributeError: '_CFSubcluster' object has no attribute 'sq_norm_' This error occurs only after fitting the model and I couldn't find any proper explanation of this. Could anyone give me any suggestions on that? It would be really helpful. Here is my code: from sklearn.cluster import Birch # Creating the BIRCH clustering model model = Birch(n_clusters = None) # Fit the data (Training) model.fit(df) # Predict the same data pred = model.predict(df) -- Best Regards, Farzana Anowar, PhD Candidate Department of Computer Science University of Regina

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Crypto project to fund open source
by Adrin Feb. 8, 2021

Feb. 8, 2021

I just got this on the pandas-dev mailing list. Seems rather interesting! ---------- Forwarded message --------- From: Marc Garcia <garcia.marc(a)gmail.com> Date: Fri, Feb 5, 2021 at 2:21 PM Subject: [Pandas-dev] Crypto project to fund open source To: pandas-dev <pandas-dev(a)python.org> Hi, I've been contacting regarding a crypto project that aims at funding open source projects. Not sure about the details, but seems like if we register pandas, we'll be getting funds as the crypto is mined (after users endorse pandas I think). Not so familiar myself with crypto or the project, but just in case anyone finds it interesting and wants to add pandas to it: https://devprotocol.xyz/ Cheers, Marc _______________________________________________ Pandas-dev mailing list Pandas-dev(a)python.org https://mail.python.org/mailman/listinfo/pandas-dev

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Github Discussions enabled for scikit-learn
by Loïc Estève Feb. 8, 2021

Feb. 8, 2021

Hi, we enabled Github Discussions a few weeks ago. You can find it at: https://github.com/scikit-learn/scikit-learn/discussions For now we consider this as experimental, we will be monitoring it and see how useful it can be. The main hope I personally have with it, is to help build the scikit-learn community, in particular to get more scikit-learn users to answer user questions. For more details about Github Discussions: https://docs.github.com/en/discussions A useful option to be able to follow the scikit-learn Github Discussions activity: - go to the scikit-learn repo page: https://github.com/scikit-learn/scikit-learn - click the Watch button (top-right, left of the Star button) then chose Custom, then check Discussions Cheers, Loïc

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