On Tue, Mar 31, 2015 at 11:29:41AM -0400, Andreas Mueller wrote: > To do the Bayesian optimization, I think it needs more than an example.
Maybe I am naive, but I thought that it wasn't that bad. > Why do you think the GP route is easier? Because we already have GPs. Also, I am worried that the description in the SMAC paper is quite vague, and that we will have to dig in referenced papers and code to understand what is really being done. Maybe that simply reflects my lack of understanding of the field :). Gaël > On 03/28/2015 01:29 PM, Gael Varoquaux wrote: > > Sorry for the slow reply, > > On Fri, Mar 27, 2015 at 11:49:46AM -0400, hamzeh alsalhi wrote: > >> I have revised my proposal to focus only on SMAC and to prioritize SMAC RF > >> because it can be worked on independently GP. > > I actually believed that GP were an easier route forward. > > The way I would have tackled such a project would have been: > > 1. Improve GPs > > 2. In parallel, built a Bayesian optimization example (example not > > module) > > 3. Use the work above to make a hyper-parameter selection object. > > In addition to giving us 3, 1 and 2 would be good to have. > > Cheers, > > 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 > ------------------------------------------------------------------------------ > 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 -- Gael Varoquaux Researcher, INRIA Parietal Laboratoire de Neuro-Imagerie Assistee par Ordinateur NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux ------------------------------------------------------------------------------ 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
