chess-tuning-tools

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A collection of tools for local and distributed tuning of chess engines.

• Free software: Apache Software License 2.0
• Documentation: https://chess-tuning-tools.readthedocs.io.

Features

• Optimization of chess engines using state-of-the-art Bayesian optimization <https://github.com/kiudee/bayes-skopt>_.
• Support for automatic visualization of the optimization landscape.
• Scoring matches using a Bayesian-pentanomial model for paired openings.

Quick Start

In order to be able to start the tuning, first create a python environment (at least Python 3.7) and install chess-tuning-tools by typing::

pip install chess-tuning-tools

Furthermore, you need to have cutechess-cli <https://github.com/cutechess/cutechess>_ in the path. The tuner will use it to run matches.

To execute the local tuner, simply run::

tune local -c tuning_config.json

Take a look at the usage instructions_ and the example configurations_ to learn how to set up the tuning_config.json file.

Installation on Windows ^^^^^^^^^^^^^^^^^^^^^^^

To get chess-tuning-tools to work on Windows, the easiest way is to install the Miniconda <https://docs.conda.io/en/latest/miniconda.html>_ distribution. Then, create a new environment and install chess-tuning-tools::

conda create -n myenv python=3.9 scikit-learn=0.23 activate myenv pip install chess-tuning-tools

.. _example configurations: https://github.com/kiudee/chess-tuning-tools/tree/master/examples .. _usage instructions: https://chess-tuning-tools.readthedocs.io/en/latest/usage.html