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BayesO: A Bayesian optimization framework in Python

bo_with_gp_and_ei

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