Looks neat, but how does it differ from hyperopt or spearmint? On Fri, Oct 31, 2014 at 11:46 PM, Robert McGibbon <[email protected]> wrote:
> Hey, > > I started working on a project for hyperparmeter optimization of sklearn > models. > The package is here: https://github.com/rmcgibbo/osprey. It's designed to > be easy > to run in parallel on clusters with minimal setup. For search strategies, > it supports > Gaussian process expected improvement using the MOE > <https://github.com/yelp/moe> package, as well as > random search and hyperopt's TPEs. The code is apache licensed. It's still > pretty > beta, but if anyone here is interested I'd encourage you to check it out > and post > any issues you have on github. > > -Robert > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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