Upcoming events

Sprint planning

Sprint Paris - 22nd-28th of July

This will be a week-long sprint. It will be a great moment of fun and productivity as we are going to try to gather all the core developers (non core developers with a high motivation are more than welcome) in the fantastic city of Paris.

For this sprint, we will try to find money to pay for people's trip. We thus need people to register on this page and tell us if they need funding, and what for (accommodation, travel, and from where).

If you are interested in sponsoring the sprint, please contact Nelle Varoquaux (firstname.lastname@gmail.com)

People & Funding

• Nelle Varoquaux (no funding needed, no accommodation needed)
• Gaël Varoquaux (no funding needed, no accommodation needed)
• Andreas Mueller (probably nothing needed, I take whisky donations and a couch, though -- Edit by Gael: Andy has found a bed and whisky)
• Olivier Grisel (no funding needed, no accommodation needed)
• Alex Gramfort (no funding needed, no accommodation needed)
• Vlad Niculae (travelling from Bucharest, RO, no accommodation needed thanks to Fabian)
• Fabian Pedregosa (nothing needed, I'll be hosting Vlad)
• Wei Li (funding and accommodation needed)
• Gilles Louppe (no funding needed (hopefully), but accommodation needed)
• Vincent Michel (no funding needed, no accommodation needed)
• Arnaud Joly (accommodation needed)
• Peter Prettenhofer (nothing needed - thankfully accepting funding and accommodation)
• Lars Buitinck (funding and accommodation needed)
• Gabriel Synnaeve (no funding needed, no accommodation needed)
• Philippe Gervais (no funding needed, no accomodation needed)
• Kemal Eren
• Nicolas Tréségnie
• Denis Engemann (funding needed, accommodation settled thanks to Alex)
• Jaques Grobler (no funding needed, no accommodation needed)

Topics

• Finish py3k port
• Isotonic regression with l1 norm
• Hierarchical clustering (Gaël's PR)
• Parallel processing with shared memory and joblib and / or IPython.parallel: application to bagged ensembles of trees
• Faster decision tree implementation
• Merge gradient boosting PRs (#1689, #1806)
• Probability Calibration by Isotonic Regression (see PR #1176) and Platt's method (see branch by Paolo Losi)
• Ranking/Ordinal regression models (SVM Rank with SGD, Proportional odds)
• Finish #2113 on ICA issues.
• OrthogonalMatchingPursuitCV issue #930
• model persistence documentation issue #1332
• ridge path issue #582
• ridge bias term in sparse case issue #1389
• ridge sample_weight issue #1190
• pairwise_distances_argmin issue #325

Past sprints