karoo_gp/README.md

# Karoo GP

Karoo GP is a evolutionary algorithm, a genetic programming application suite written in Python which provides both 
symbolic regression and classification analysis. Karoo GP is a scalable platform with multicore support, designed to 
readily work with realworld data. No programming required. As a teaching tool, it enables instructors to share 
step-by-step how an evolutionary algorithm arrives to its solution. As a hands-on learning tool, Karoo GP supports 
rapid, repeatable experimentation with a simple interface.

Karoo GP includes a Desktop application with an intuitive user interface, a fully scriptable Server application with 
user defined, default parameters and support for command-line arguments; a stand-alone Python script which generates 
randomly constructed subsets of larger datasets and another which normalises datasets; and a toy model which shows 
the inner workings of multiclass classification.

The included Quick Start Tutorial (PDF) offers system requirements, a crash-course in Genetic Programming, and use of 
Karoo GP for both the novice and advanced user.

Karoo GP was developed during Staats’ MSc research at the University of Cape Town / African Institute for Mathematical 
Sciences and the Square Kilometre Array (SKA), South Africa, and owes its foundation to the "Field Guide to Genetic 
Programming" by Poli, Langdon, McPhee, and Koza. The Field Guide and many more GP publications and software packages 
are showcased at www.geneticprogramming.com

Enjoy!

Kai Staats

www.kaistaats.com/research/