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 joins the Consortium

Fujitsu Laboratories join the Consortium. Fujitsu will thereby contribute to the sustainability of the scikit-learn development community. More information is available via the press releases published by Inria and Fujitsu.

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…

Scikit-learn sprint in Paris

Three weeks ago, we organized a scikit-learn sprint in the AXA’s offices in Paris. No less than 37 persons attended the sprint during the week. Such effort is equivalent to a 6 man-month! While the sprint was organized by the scikit-learn fondation @ inria, it united a much wider group of contributors and it was funded by other organizations (see below). Improvements to scikit-learn This sprint saw the…

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 →…

Announcing scikit-learn @ Inria foundation

Inria is pleased to announce the launch of the scikit-learn initiative in the Inria foundation, a partnership with companies using scikit-learn. Its objectives are to support the development of this reference software: sustaining its high quality and adding new functionalities. Scikit-learn is a library in Python, an high-level programming language. It is dedicated to statistical learning (machine learning) and can be used as middleware, especially for prediction tasks.…