On Thu, Oct 18, 2012 at 07:02:41AM +0100, Andreas Mueller wrote: > In principle I think it should be possible to run with the standard numpy as > well.
One thing to keep in mind is that accelerate leads to crashes after doing a fork. Thus if you want to do multiprocessing/joblib-based parallel computing, it should not be used. In general, I would recommend to rely rather on something like atlas when doing scientific computing with Python. Still, we should be able to build correctly :$ Gaël ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_sfd2d_oct _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
