Simple, but essential Bayesian optimization package.
We recommend installing it with virtualenv.
You can choose one of three installation options.
To install the released version in PyPI repository, command it.
$ pip install bayeso
To install bayeso from source code, command the following in the bayeso root.
pip install .
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].
If you would like to uninstall bayeso, command it.
$ pip uninstall bayeso
We test our package in the following versions.
We provide a list of examples and a list of tests.
@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}
}
FAQs
Simple, but essential Bayesian optimization package
We found that bayeso demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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