TECHNICAL COMMITTEE / October 11, 2022

From the discussion during the technical committee, the scikit-learn Consortium at Inria defined the following list of priorities for the coming year: High priority: Continue effort helping with project maintenance to keep the target to release twice a year (+ bugfix releases). 1.2 in progress (planned for november 2022) Refactor common tests to avoid missing estimators unintentionally and split the hard constraints from the scikit-learn internal conventions High…

TECHNICAL COMMITTEE / December 3, 2021

From the discussion during the technical committee of December 3rd 2021, the scikit-learn Consortium defined the following list of priorities for 2022: High priority: Continue effort helping with project maintenance to keep the target to release twice a year (+ bugfix releases). Bugfix release 1.0.2 end of December 2021 (or early January 2022) with macOS/arm64 support for the first time 1.1 planned the first quarter of 2022 Refactor…

TECHNICAL COMMITTEE / June 2, 2021

Technical Committee June 2, 2021 Agenda of the day 9.10 am - 10 am Presentation of the technical achievements and ongoing work by O. Grisel 10 am - 12 pm Feedback and exposition of each partner of the consortium 1 pm - 2 pm Collaborative drafting session of the updated roadmap 2 pm - 5 pm Afternoon discussions on Discord Attendees Scikit-learn @ Fondation Inria Alexandre Gramfort (Inria,…

Comment les priorités du Consortium sont elles définies?

Le Consortium scikit-learn @ Inria défini une feuille de route tous les six à huit mois pendant le Comité Technique. Les feuilles de route définies jusqu'à maintenant sont consultables ici. Pourquoi une feuille de route? Les membres du Consortium fournissent leur soutien financier sans aucune contrepartie. La définition d'une feuille de route concernant son développement logiciel et plus en général ses activités est une étape importante dans la…

Generalized Linear Models have landed in scikit-learn

While scikit-learn already had some Generalized Linear Models (GLM) implemented, e.g. LogisticRegression, other losses than mean squared error and log-loss were missing. As the world is almost (surely) never normally distributed, regression tasks might benefit a lot from the new PoissonRegressor, GammaRegressor and TweedieRegressor estimators: using those GLMs for positive, skewed data is much more appropriate than ordinary least squares and might lead to more adequate models. Starting…

Advisory Committee / February 8th 2021

Presentation of the activities of the Consortium during the last year (C. Marmo, G. Varoquaux): Questions and comments: Fujitsu Fujitsu actively participates in the Consortium remote events. Fujitsu would be glad to increase Japan contributions to scikit-learn. Fujitsu suggests organizing a sprint for Japan time zone, and starting a discussion about good practices to organize online sprints with the team there. Microsoft More information about the MOOC are…

TECHNICAL COMMITTEE / November 5, 2020

Technical Committee November 5, 2020 Presentation of the technical achievements and ongoing work (O. Grisel) Priority list for the consortium at Inria, year 2020–2021 From the discussion during the technical committee, the scikit-learn Consortium at Inria defined the following list of priorities for the coming year: Continue effort helping with project maintenance to keep the target to release twice a year (+ bugfix releases). Continue developments of the…