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 development and examples, you can simply add [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 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.12
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
Metadata
Release files for bayeso 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bayeso-0.6.1.tar.gz | 43.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayeso-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 109.5 kB
Release files / bayeso-0.6.1.tar.gz
| Download URL | bayeso-0.6.1.tar.gz |
|---|---|
| Size | 43.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / bayeso-0.6.1-py3-none-any.whl
| Download URL | bayeso-0.6.1-py3-none-any.whl |
|---|---|
| Size | 66.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|