Hi David. Content wise this looks reasonable, I think. For the "must haves" I would add elastic net penalty and "crammer singer loss" aka "multi-class hinge" (maybe sometimes also called rank loss?). Both shouldn't be very hard.
For the nice-to-haves you could also add RPROP = resilient back propagation (which would not be SGD) for small datasets. I can't say much to the organizational aspects as I am not sure what is expected there. I know you already submitted a patch. I you continued working on some other issues that would definitely strengthen your application, though. Cheers, Andy On 03/29/2012 06:19 PM, David Marek wrote: > Hi, > > I have created a first draft of my application for gsoc. I summarized > all ideas from last thread so I hope it makes sense. You can read it > at > https://docs.google.com/document/d/11zxSbsGwevd49JIqAiNz4Qb6cFYzHdJgH9ROegY9-qo/edit > I would like to ask Andreas and David to have a look. Every feedback is > welcome. > > David > > ------------------------------------------------------------------------------ > This SF email is sponsosred by: > Try Windows Azure free for 90 days Click Here > http://p.sf.net/sfu/sfd2d-msazure > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
