BayesO: A Bayesian Optimization Framework in Python

Simple, but essential Bayesian optimization package.

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 the following in the bayeso root.

pip install .

Using source code (for editable development mode)

To use editable development mode, command the following in the bayeso root.

pip install -e .

If you want to install the packages required for optional features, development, and examples, you can simply add [optional], [dev], and [examples].
For example, pip install .[dev] or pip install -e .[dev].

Uninstallation

If you would like to uninstall bayeso, command it.

$ pip uninstall bayeso

Supported Python Version

We test our package in the following versions.

Python 3.7
Python 3.8
Python 3.9
Python 3.10
Python 3.11

Examples and Tests

We provide a list of examples and a list of tests.

Citation

@article{KimJ2023joss,
    author={Kim, Jungtaek and Choi, Seungjin},
    title={{BayesO}: A {Bayesian} optimization framework in {Python}},
    journal={Journal of Open Source Software},
    volume={8},
    number={90},
    pages={5320},
    year={2023}
}

License

MIT License