Simple, but essential Bayesian optimization package.

• BayesO: GitHub Repository
• BayesO Benchmarks: GitHub Repository
• Batch BayesO: GitHub Repository

Installation

We recommend installing it with virtualenv. You can choose one of three installation options.

• Using PyPI repository (for user installation)

To install the released version in PyPI repository, command it.

$ pip install bayeso

• Using source code (for developer installation)

To install BayesO from source code, command

$ pip install .

in the BayesO root.

• Using source code (for editable development mode)

To use editable development mode, command

$ pip install -r requirements.txt
$ python setup.py develop

in the BayesO root.

• Uninstallation

If you would like to uninstall BayesO, command it.

$ pip uninstall bayeso

Citation

@misc{KimJ2017bayeso,
    author="Kim, Jungtaek and Choi, Seungjin",
    title="{BayesO}: A {Bayesian} optimization framework in {Python}",
    howpublished="\url{https://bayeso.org}",
    year="2017"
}

License

MIT License