Hi David, Like Gael said in the other thread, try to submit your proposal quite before the deadline. You can still edit it on their site.
I agree with everybody regarding the importance of testing and examples. They are not afterthoughts. The documentation, though, can be left until the final deadline in my opinion. I would like to see a reproduction of the standard neural net digits example: http://ufldl.stanford.edu/wiki/images/8/84/SelfTaughtFeatures.png It is easy to set up the skeleton of such an example and when the implementation is good it will magically run :) By the way, I recently had a nice scikit-learn serendipity moment at the Charles University, during the CLARA winter school in February. I was a student there and one of the lecturers, Blaise Thomson from Cambridge (shout out!), started talking about how he is using scikit-learn for some specific parts of a dialogue system. He even had the time to make a unplanned lab session where he introduced everybody to sklearn syntax and classifiers. Many people were complete machine learning noobs (read: linguists) so they were happy to be able to make magic happen themselves. If you're in the same building as that department (Malostanske Namesti) then wow, it's the best placed school I've ever visited. Great beer right next door, too. Vlad On Apr 5, 2012, at 23:55 , David Marek wrote: > Hi > > On Fri, Mar 30, 2012 at 7:41 AM, Gael Varoquaux > <[email protected]> wrote: >> David, I saw in another of you mails that you have more ideas of what >> could be done. I think that it would be useful to enrich your >> application. > > I have incorporated all my ideas into the proposal. There are now few > more learning algorithms. I have added delta-bar-delta, rprop and > stochastic gradient L-M. I have also added more loss functions and of > course the momentum term and polyak's averaging. I think it will be a > busy summer. > > I have been working on fixing some issues and getting to know the > source-code in past few days. I hope I've proved that I won't have any > problems with working on such a big project and will be able to get > things done. > > Regards > > David > > ------------------------------------------------------------------------------ > Better than sec? Nothing is better than sec when it comes to > monitoring Big Data applications. Try Boundary one-second > resolution app monitoring today. Free. > http://p.sf.net/sfu/Boundary-dev2dev > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Better than sec? Nothing is better than sec when it comes to monitoring Big Data applications. Try Boundary one-second resolution app monitoring today. Free. http://p.sf.net/sfu/Boundary-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
