BayesO: A Bayesian optimization framework in Python

Simple, but essential Bayesian optimization package.

• https://bayeso.org
• Online documentation

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

Required Packages

Mandatory pacakges are inlcuded in requirements.txt. The following requirements files include the package list, the purpose of which is described as follows.

• requirements-optional.txt: It is an optional package list, but it needs to be installed to execute some features of bayeso.
• requirements-dev.txt: It is for developing the bayeso package.
• requirements-examples.txt: It needs to be installed to execute the examples included in the bayeso repository.

Supported Python Version

We test our package in the following versions.

• Python 3.6
• Python 3.7
• Python 3.8
• Python 3.9

Contributor

• Jungtaek Kim (POSTECH)

Citation

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

Contact

• Jungtaek Kim: [email protected]

License

MIT License