Hi Vlad > 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 have already submitted it. > 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 :) I plan to have this before midterm evaluation. > 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. My supervisor worked with Blaise Thomson at the Cambridge Dialogue Systems Group. That's how I came with the idea to work on scikit-learn. > 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. Yep :-) 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
