Awesome
<p align="center"> <img src="https://raw.githubusercontent.com/jungtaekkim/bayeso/main/docs/_static/assets/logo_bayeso_capitalized.svg" width="400" /> </p>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}
}