piecewise 0.1.2

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Description:

piecewise 0.1.2

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:

XCS (ternary rule representation)
XCSR (centre-spread rule representation)

Project Philosophy
The primary use case of Piecewise is for LCS researchers who are interested in:

Investigating modifications or extensions to existing LCS algorithms.
Running experiments with LCS algorithms on common environments, through a
standardised and easy-to-use interface.

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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