On Fri, 20 Mar 2015, Sebastian Raschka wrote: > that depends on your model and the number and nature of the features. > E.g., logistic regression is probably one of the best > speed/classif-performance tradeoffs -- for linear problems at least. > Are we talking about 1,000s of users per second, minute, hour, ...?
if you come up with some good strategy/implementation, it might be interesting to incorporate it into Fail2Ban for its pragmatic use (if would be applicable). Cheers, -- Yaroslav O. Halchenko, Ph.D. http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org Research Scientist, Psychological and Brain Sciences Dept. Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general