Scikit-Optimize, or skopt, is meant to be a simple and efficient library for black box optimization, accessible to everybody and reusable in various contexts.

The library is built on top of NumPy, SciPy and Scikit-Learn.

• Static documentation
• Examples can be found under the examples/ directory.

The library is still experimental and under heavy development.

The development version can be installed through:

git clone https://github.com/scikit-optimize/scikit-optimize.git
cd scikit-optimize
pip install -r requirements.txt
python setup.py develop

Run the tests by executing nosetests in the top level directory.

Contributors are welcome!