bask 0.10.9

A fully Bayesian implementation of sequential model-based optimization

Bayes-skopt

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).

Features

• 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.

Installation

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

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.