BayesO: A Bayesian optimization framework in Python
BayesO (pronounced "bayes-o") is a simple, but essential Bayesian optimization package, written in Python. It is developed by machine learning group at POSTECH. This project is licensed under the MIT license.
This documentation describes the details of implementation, getting started guides, some examples with BayesO, and Python API specifications. The code can be found in our GitHub repository.
.. toctree:: :maxdepth: 1 about/about_bayeso about/about_bo
.. toctree:: :maxdepth: 1 :caption: Getting Started: getting_started/installation
.. toctree:: :maxdepth: 1 :caption: Example: example/gp example/ts_gp_prior example/branin example/hpo
.. toctree:: :maxdepth: 2 :caption: Python API: python_api/bayeso python_api/bayeso.bo python_api/bayeso.gp python_api/bayeso.tp python_api/bayeso.trees python_api/bayeso.utils python_api/bayeso.wrappers