On Mon, Dec 5, 2011 at 16:26, James Bergstra <[email protected]> wrote: > > This is definitely a good idea. I think randomly sampling is still > useful though. It is not hard to get into settings where the grid is > in theory very large and the user has a budget that is a tiny fraction > of the full grid.
I'd like to implement this, but I'm stuck on a nice way of specifying distributions over each axis (i.e., sometimes you want to sample across orders of magnitude (say, 0.001, 0.01, 0.1, 1, etc), sometimes you want to sample uniformly (0.1, 0.2, 0.3, 0.4 ...)) that is obvious and readable and flexible. -- - Alexandre ------------------------------------------------------------------------------ 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. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
