Metadata-Version: 2.1
Name: piecewise
Version: 0.1.2
Summary: Michigan-style Learning Classifier Systems
Home-page: https://github.com/jtbish/piecewise
Author: Jordan T. Bishop
Author-email: jordanbishop26@gmail.com
License: UNKNOWN
Description: # Piecewise
        
        ## What is Piecewise?
        A Michigan-style Learning Classifier System (LCS) library, written in Python.
        
        It makes heavy use of object-oriented language features to provide a modular,
        extensible framework on which to build LCS algorithms.
        
        The currently implemented algorithms are:
        1. XCS (ternary rule representation)
        2. XCSR (centre-spread rule representation)
        
        ## Project Philosophy
        The primary use case of Piecewise is for LCS researchers who are interested in:
        1. Investigating modifications or extensions to existing LCS algorithms.
        2. Running experiments with LCS algorithms on common environments, through a
           standardised and easy-to-use interface.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
