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
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