On Mon, Sep 19, 2011 at 10:31 AM, Brian Holt <[email protected]> wrote: > If it is of interest, then the obvious question is: do we roll our own > or do we wrap an existing implementation? > > [InferNet](http://research.microsoft.com/en-us/um/cambridge/projects/infernet/) > has IronPython bindings, but is probably not suitable for wrapping in > scikit-learn. [libDAI](http://cs.ru.nl/~jorism/libDAI/doc/) seems to > be a possibility for wrapping in much the same way as libSVM.
The DAI license is BSD, so that's good. I'm not sure what the scikit-learn policy on including C++ code is, though. Almero Gouws and Helge Reikeras worked on graphical models for a while, and produced this: http://dip.sun.ac.za/~hreikeras/grmpy_doc/contents.html I have no idea about the quality or efficiency of the code, but feel free to use and modify it. Regards Stéfan ------------------------------------------------------------------------------ BlackBerry® DevCon Americas, Oct. 18-20, San Francisco, CA Learn about the latest advances in developing for the BlackBerry® mobile platform with sessions, labs & more. See new tools and technologies. Register for BlackBerry® DevCon today! http://p.sf.net/sfu/rim-devcon-copy1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
