On Tue, Feb 05, 2013 at 07:09:15PM +0100, Lars Buitinck wrote: > 2013/2/5 Gael Varoquaux <gael.varoqu...@normalesup.org>: > > Do we need such genericity? Are there real practical gains to such > > modularity? My gut feeling would be to move forward with something > > simple, and make it performant statistical and computationaly for the > > common cases.
> Perhaps not, but would it hurt to have both? Longer time to merge the PR, more complex code, API harder to grasp. It's hard for me to judge whether the added complexity is worth the gain, as I am not at all a neural-network guy, but I can see the added complexity. G ------------------------------------------------------------------------------ Free Next-Gen Firewall Hardware Offer Buy your Sophos next-gen firewall before the end March 2013 and get the hardware for free! Learn more. http://p.sf.net/sfu/sophos-d2d-feb _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
