I agree that we should have some serious SVM support. I also just closed out a very old issue on this topic!
I am all for it if you can submit some code, that you are basically willing to support. A Hadoop-based implementation is ideal, but anything consistent is good in my book. Post a patch if you'd like to proceed, IMHO. On Thu, Nov 19, 2009 at 6:10 PM, Ted Dunning <ted.dunn...@gmail.com> wrote: > Mike, > > Good to hear from you. > > A solid Java implementation of SVM would be of interest. A highly scalable > implementation would be even more interesting. > > On Thu, Nov 19, 2009 at 9:15 AM, mike bowles <m...@mbowles.com> wrote: > >> I’m a newbie here and am a little timid about raising my hand, but I do >> want to be helpful, so here goes. If I’m making some mistake in etiquette, >> please let me know (but be gentle). >> >> >> >> The most commonly used algorithm for SVM is based on work done be John >> Platt at Microsoft Reasearch (used for example in libsvm). I’ve attached >> Platt’s original paper. It’s also still available from Microsoft Research. >> The commonly used version of the algorithm is based on improvements >> suggested by Keerti et al. That paper is also attached. The improved >> algorithm boils down to very few steps. I’ve attached a single page pdf >> that succinctly summarizes the improved algorithm. >> >> >> >> I’ve coded this algorithm in C++ and Python and will happily supply code or >> can easily re-code into Java in a day or so. I hope this is helpful. Do I >> need to ask that you feel free to comment? >> >> mike >> > > > > -- > Ted Dunning, CTO > DeepDyve >
