Speed reading like spritz
http://amueller.github.io/speed_reading/
Ten lines of bad JS for people who want to play around. Blog post: http://peekaboo-vision.blogspot.de/2014/03/off-topic-speed-reading-like-spritz.html
http://amueller.github.io/speed_reading/
Ten lines of bad JS for people who want to play around. Blog post: http://peekaboo-vision.blogspot.de/2014/03/off-topic-speed-reading-like-spritz.html
That is BSD licensed and pure Python, has some more feature than SVMstruct but is not as optimized (yet).
Btw, the sklearn docs have an example that I think explains different classifiers way better and also hints at a very important point: non-linear decision boundaries are mostly important for low-dimensional dense data and not helpful for text data for example.
(Apart from that this is not really news, I could have told you month ago if you asked me ;)