Time to come out! scikit-learn 0.22

A new look and many new features for this 0.22 scikit-learn release. Just a bit earlier than Santa visiting, this past month some special Elves have worked really hard to keep the target of releasing scikit-learn twice a year. Come take a look at some of the many surprises this remarkable package contains. With big data come big responsibilities New features for plotting and interpretability Models fitted by…

Fujitsu rejoint le Consortium

Fujitsu Laboratories rejoint le Consortium. Fujitsu contribuera ainsi au soutien de la communauté qui développe scikit-learn. Pour plus d'informations le communiqué de presse Inria et Fujitsu sont en ligne.

TECHNICAL COMMITTEE / July 4, 2019

Technical Committee July 4, 2019   Priority list for the consortium at Inria, year 2019–2020   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 to help with project maintenance to keep the target to release twice a year. Development of the “inspect” module: Help finalize the pull requests for the newly introduced…

ADVISORY COMMITTEE / NOVEMBER 8, 2018

Minutes of the scikit-learn Advisory Committee meeting (November 8th 2018)   Where present: Chaouki Boutharouite - AXA Sébastien Conort - BNP Paribas Cardif Sylvain Duranton - BCG David Margery - Inria Foundation Olivier Trébucq - Inria Gaël Varoquaux - Inria Excused: Josh Patterson and Guillaume Barat -  Nvidia Laurent Duhem - Intel 1- The current administrative and financial situation of the consortium Two engineers have already been recruited…

TECHNICAL COMMITTEE / October 10, 2018

Technical Committee October 10, 2018   Priority list for the consortium at Inria, year 2018–2019   From the points discussed at the meeting, the Technical Committee is proposing the following list of priorities for the actions of the consortium, to be used by the management team for allocating consortium resources:   Faster release cycle & dedicate resources for maintenance. Benchmark and compliance tests (Intel & Nvidia): scikit-learn-benchmarks →…

Lancement de scikit-learn @ fondation Inria

Inria a le plaisir d’annoncer le lancement de l’initiative scikit-Learn dans la Fondation Inria, un partenariat avec des entreprises utilisatrices. Son objectif est d’intensifier le développement de cette infrastructure de référence en y ajoutant de nouvelles fonctionnalités. Scikit-Learn est une bibliothèque développée en Python, un langage de programmation haut niveau. Elle est dédiée à l’apprentissage statistique (Machine Learning) et peut être utilisée comme middleware, notamment pour des tâches…