A fully Bayesian implementation of sequential model-based optimization
- Free software: Apache Software License 2.0
- Documentation: https://bayes-skopt.readthedocs.io.
- Built on top of the excellent Scikit-Optimize (skopt).
- A fully Bayesian variant of the
GaussianProcessRegressor. - State of the art information-theoretic acquisition functions, such as the Max-value entropy search or Predictive variance reduction search, for even faster convergence in simple regret.
- Familiar Optimizer interface known from Scikit-Optimize.
To install the latest stable release it is best to install the version on PyPI:
pip install bask
The latest development version of Bayes-skopt can be installed from Github as follows:
pip install git+https://github.com/kiudee/bayes-skopt
Another option is to clone the repository and install Bayes-skopt using:
poetry install
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.