Limbo 2.1 release
Limbo (LIbrary for Model-Based Optimization) is an open-source C++11 library for Gaussian Processes and data-efficient optimization (e.g., Bayesian optimization) that is designed to be both highly flexible and very fast. It can be used as a state-of-the-art optimization library or to experiment with novel algorithms with "plugin" components. Features in a glance:
- Implementation of the classic algorithms (Bayesian optimization, many kernels, likelihood maximization, etc.)
- Modern C++-11
- Generic framework (template-based / policy-based design), which allows for easy customization, to test novel ideas
- Experimental framework that allows user to easily test variants of experiments, compare treatments, submit jobs to clusters (OAR scheduler), etc.
- High performance (in particular, Limbo can exploit multi-core computers via Intel TBB and vectorize some operations via Eigen3)
- Purposely small to be easily maintained and quickly understood
This version was accepted at the Journal of Open-Source Software. Documentation is available at: http://www.resibots.eu/limbo