> Does anybody know of further optimization approaches that were not > mentioned below and that we could consider?
Maybe parallel computing. A grid search is an embarrassingly parallel problem. A Bayesian optimization is not. We have the necessary framework only to tackle embarrassingly parallel computing. Maybe the first 10 shots can be done with random sampling (using code adapted / subclassed from the RandomSearch) before kicking in the Bayesian optimizer. Gaël ------------------------------------------------------------------------------ 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
