For a detailed usage guide, please refer to the Jupyter notebook linked below:
This python Notebook shows an exemplary usage of the up-ac module. In particular, this notebook will go through an example of Algorithm Configuration for ENHSP, an Expressive Numeric Heuristic Search Planner. For this, we use SMAC, a Sequential Model-Based Optimization for General Algorithm Configuration.
Within this project there are also some generic configuration tools, which can be used as a base to implement other configuration tools of choice. More information on these can be found in the :ref:`genFunc` section.