ac_pysmac

Simple python wrapper to [SMAC](http://www.cs.ubc.ca/labs/beta/Projects/SMAC/), a versatile tool for optimizing algorithm parameters.

SMAC is free for academic & non-commercial usage. Please contact Frank Hutter to discuss obtaining a license for commercial purposes.

This wrapper is intented to use SMAC directly from Python to minimize a objective function. It also contains some rudimentary analyzing tools that can also be applied to already existing SMAC runs.

Installation

To install ac_pysmac, we advise using the Python package management system:

pip install git+https://github.com/belkhir-nacim/ac_pysmac.git --user

If you prefer, you can clone the repository and install it manually via

python setup.py install

Documentation

The documentation can be generated with Sphinx