Hi, I'll start with :
https://github.com/scikit-learn/scikit-learn/pull/438 and https://github.com/scikit-learn/scikit-learn/pull/444 and then I'll see what people want to work on. I have a personal interest in randomized linear models Alex On Mon, Dec 12, 2011 at 11:06 AM, Gilles Louppe <[email protected]> wrote: > Hi list, > > During the sprint, I plan to review @pprett pull request on Gradient > Tree Boosting. It is also my intention to implement parallel > construction and prediction of forest of trees. > > I also have some ideas concerning the tree module, like computing > variable importance (which is already included in @pprett PR) or using > trees to transform() data (this needs to be discussed though). > > If I have time, I'd also like to fix and close some of our opening issues. > > Gilles > > On 9 December 2011 19:33, Nelle Varoquaux <[email protected]> wrote: >> Hi All ! >> >> I plan on also working on scikit learn during this time, but from >> France. I'd like to implement the HAP, the hierarchical version of the >> affinity propagation during that time. >> >> On 8 December 2011 15:27, Mathieu Blondel <[email protected]> wrote: >>> Hi everyone, >>> >>> I've edited the wiki with ideas for the two main tasks I'm planning to >>> work on during the sprint (K-means improvements and Random >>> Projections). >>> >>> https://github.com/scikit-learn/scikit-learn/wiki/Upcoming-events >>> >>> Feel free to add the tasks you plan to work on, so that we can avoid >>> overlap. By the way, be careful: github doesn't remember the >>> formatting option, you need to reset it to "reStructuredText" every >>> time! >> >> I think this works properly if you use git access >> (https://github.com/scikit-learn/scikit-learn/wiki/_access) >> >> Thanks, >> N >> >> >>> >>> Cheers, >>> Mathieu >>> >>> ------------------------------------------------------------------------------ >>> Cloud Services Checklist: Pricing and Packaging Optimization >>> This white paper is intended to serve as a reference, checklist and point of >>> discussion for anyone considering optimizing the pricing and packaging model >>> of a cloud services business. Read Now! >>> http://www.accelacomm.com/jaw/sfnl/114/51491232/ >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> [email protected] >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> ------------------------------------------------------------------------------ >> Cloud Services Checklist: Pricing and Packaging Optimization >> This white paper is intended to serve as a reference, checklist and point of >> discussion for anyone considering optimizing the pricing and packaging model >> of a cloud services business. Read Now! >> http://www.accelacomm.com/jaw/sfnl/114/51491232/ >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ > Learn Windows Azure Live! Tuesday, Dec 13, 2011 > Microsoft is holding a special Learn Windows Azure training event for > developers. It will provide a great way to learn Windows Azure and what it > provides. You can attend the event by watching it streamed LIVE online. > Learn more at http://p.sf.net/sfu/ms-windowsazure > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Learn Windows Azure Live! Tuesday, Dec 13, 2011 Microsoft is holding a special Learn Windows Azure training event for developers. It will provide a great way to learn Windows Azure and what it provides. You can attend the event by watching it streamed LIVE online. Learn more at http://p.sf.net/sfu/ms-windowsazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
