2011/10/17 Brian Holt <[email protected]>: > +1 even though its not as accurate. If the tests pass, then its accurate > enough IMHO.
I am +1-ish too. Maybe we need additional tests to make sure it does not break in weird cases. Also if transcendental evaluations are expensive in other algorithms of the scikit, it might be implementing a cython wrapper for the following: http://gruntthepeon.free.fr/ssemath/ However the compilation flags might get tricky to get right i a cross platform manner (also we would need to deal with memory alignment stuff which are quite easy to get working on POSIX but I don't know under windows). Furthermore, SSE optims will really be interesting for single precision floats (theoretical 4X speed up in practice, ~3X observed in practice) rather than double precision floats (theoretical 2X speed up). -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
