BOSS examples

Bayesian Optimization Structure Search (BOSS) is an active machine learning technique for accelerated global exploration of property phase space. It is designed to facilitate machine learning in computational and experimental natural sciences. This documentation presents the installation and usage of BOSS via hands-on Tutorials and the Manual. More information and research examples can be found at the BOSS public website. The code is available for download in the BOSS GitLab repository.