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.
To install pysmac, we advise using the Python package management system:
pip install git+https://github.com/automl/pysmac.git --userIf you prefer, you can clone the repository and install it manually via
python setup.py installDocumentation -----------
The documentation for pySMAC is hosted on http://pysmac.readthedocs.org/. It contains a Quickstart guide for the impatient, but also a detailed manual.