SafeOpt - Safe Bayesian Optimization

This code implements an adapted version of the safe, Bayesian optimization algorithm, SafeOpt [1], [2]. It also provides a more scalable implementation based on [3] as well as an implementation for the original algorithm in [4]. The code can be used to automatically optimize a performance measures subject to a safety constraint by adapting parameters. The prefered way of citing this code is by referring to [1] or [2].

Warning: Maintenance mode

This package is no longer actively maintained. That bein said, pull requests to add functionality or fix bugs are always welcome.

Installation

The easiest way to install the necessary python libraries is by installing pip (e.g. apt-get install python-pip on Ubuntu) and running

pip install safeopt

Alternatively you can clone the repository and install it using

python setup.py install

Usage

The easiest way to get familiar with the library is to run the interactive example ipython notebooks!

Make sure that the ipywidgets module is installed. All functions and classes are documented on Read The Docs.

License

The code is licenced under the MIT license and free to use by anyone without any restrictions.