On Wed, Nov 09, 2011 at 11:00:34PM +0100, Andreas Mueller wrote: > As in the other thread, usually one has to scan for parameters any way. > Computing every value just once and then storing it seems ok to me. For > example, for the chi2 kernel, there is very efficient code available by > Christoph Lampert using SSE2 instructions. I used precomputed kernel > matrices for multi instance kernels. I could easily implement them on > the GPU using batches and then store them one and for all. If I had to > do memory transfers for every single example that I need the kernel > for, it would be very slow.
> Maybe these are special use cases but I think they are valid ones. They are, but the question is: can they be answered in a toolkit meant to be used from Python, where there is a large function-call overhead? I don't know the answer to this question, to be fair, I am just raising it. Gael ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
