Goal: internal communication on recent work and short term planning Who: people working the maintenance of scikit-learn and related, in particular at probabl and Inria and maybe others Frequency: every other Monday at 15:00 CET/CEST, unless it happens on the same day as the Monthly meeting. Where: https://meet.google.com/xdm-ozyn-pgj Meeting notes: to be archived on the scikit-learn org repo Next meeting templates Rules of the game: No question during the progress reports

Progress meeting on OS projects. Frequency: bi-weekly, on Mondays at 15:00 CET/CEST Where: Google Meet: todo update Who: probabl OS Team members 2024-03-25 Individual reports [name=Olivier]Mostly Triaging week Array API follow-up

Title: Probabilistic classification and cost-sensitive learning with scikit-learn Abstract: Data scientists are repeatly told that it is absolutely critical to align their model training methodology with a specific business objective. While being a rather good advise, it usually falls short on how to achieve this in practice. This hands-on tutorial aims to introduce helpful theoretical concepts and concrete software tools to help them bridge this gap. This method will be illustrated on a worked practical use case: optimizing the operations of a fraud detection system for a payment processing platform. More specifically, we will introduce the concepts of calibrated probabilistic classifiers, how to evaluate them and fix common causes of miscalibration. In a second part, we will explore how to turn probablistic classifiers into optimal business decision makers.

Twitter thread (or single post depending on size limit): scikit-learn 1.5.0 is released! 🟢 1 major feature & 12 features 🔵 8 efficiency improvements & 17 enhancements 🟡 15 API changes (with deprecation) 🔴 24 fixes including one security fix! You can upgrade through the usual channels:

Je fait des faute de conjugaison et de grammaire. C'est pour voir si c'est possible de corrigé des fautes automatiquement dans Firefox.

Inria mission info https://www.euroscipy.org/2023/tickets.html https://pretalx.com/euroscipy-2023 https://intranet.inria.fr/Vie-pratique/Partir-en-mission/Partir-en-mission/Presentation https://www.economie.gouv.fr/dgfip/mission_taux_chancellerie/frais_resultat/CH 65% de l’indemnité journalière couvre le remboursement de la nuitée -> 149.5 euros 35% de l’indemnité journalière couvre le remboursement des deux repas (17,5% pour un repas) -> 80.5 euros :bullettrain_side: Travel Name

Plugin registration scikit-learn would provide an context manager to make it possible to activate a plugin. For instance: from sklearn import computational_engine from sklearn.neighbors import KNeighborsClassifier with computational_engine("sklearn_dppy"): clf = KNeighborsClassifier(n_neighbors=5).fit(X_train) y_pred = clf.predict(X_test)

# @scikit-learn tweets (draft) ## Tweet 001 Scikit-learn 0.22 is out! New website, new plotting API, permutation variable importances, support for missing values in GBRT, KNN imputation, Decision Tree pruning and much more. Highlights: https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html Full changelog: https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22 ## Tweet 000 The automatic github commit notifications have moved to @sklea