jungtaekkim / Bayeso
Licence: mit
Simple, but essential Bayesian optimization package
Stars: ✭ 57
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python
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BayesO: A Bayesian optimization framework in Python
Simple, but essential Bayesian optimization package.
Installation
We recommend it should be installed in 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 ofbayeso. -
requirements-dev.txt: It is for developing thebayesopackage. -
requirements-examples.txt: It needs to be installed to execute the examples included in thebayesorepository.
Supported Python Version
We test our package in the following versions.
- Python 3.6
- Python 3.7
- Python 3.8
Contributor
- Jungtaek Kim (POSTECH)
Citation
@misc{KimJ2017bayeso,
author={Kim, Jungtaek and Choi, Seungjin},
title={{BayesO}: A {Bayesian} optimization framework in {Python}},
howpublished={\url{http://bayeso.org}},
year={2017}
}
Contact
- Jungtaek Kim: [email protected]
License
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].