Metadata-Version: 2.1
Name: xcsf
Version: 1.4.7
Summary: XCSF learning classifier system: rule-based evolutionary machine learning
Home-page: https://github.com/xcsf-dev/xcsf
Maintainer: Richard Preen
Maintainer-email: rpreen@gmail.com
License: GPL-3.0
Project-URL: Changelog, https://github.com/xcsf-dev/xcsf/CHANGELOG.md
Project-URL: Documentation, https://github.com/xcsf-dev/xcsf/wiki
Project-URL: Bug Tracker, https://github.com/xcsf-dev/xcsf/issues
Project-URL: Discussions, https://github.com/xcsf-dev/xcsf/discussions
Keywords: divide and conquer,evolutionary algorithm,genetic programming,learning classifier system,least squares,machine learning,neural networks,neuroevolution,reinforcement learning,rule-based,supervised learning,stochastic gradient descent,XCS,XCSF
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: C
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.md

# XCSF learning classifier system

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An implementation of the XCSF [learning classifier system](https://en.wikipedia.org/wiki/Learning_classifier_system) that can be built as a stand-alone binary or as a Python library. XCSF is an accuracy-based [online](https://en.wikipedia.org/wiki/Online_machine_learning) [evolutionary](https://en.wikipedia.org/wiki/Evolutionary_computation) [machine learning](https://en.wikipedia.org/wiki/Machine_learning) system with locally approximating functions that compute classifier payoff prediction directly from the input state. It can be seen as a generalisation of XCS where the prediction is a scalar value. XCSF attempts to find solutions that are accurate and maximally general over the global input space, similar to most machine learning techniques. However, it maintains the additional power to adaptively subdivide the input space into simpler local approximations.

See the project [wiki](https://github.com/xcsf-dev/xcsf/wiki) for details on features, how to build, run, and use as a Python library.
