Fork of https://github.com/kstaats/karoo_gp

Go to file

Kai Staats 96ec118f7b version update		2016-07-09 09:27:20 -06:00
files	Merge branch 'master' of github.com:kstaats/karoo_gp	2016-07-07 23:14:02 -06:00
tools	minor change in desc	2016-07-08 23:03:44 -06:00
README.md	reformatted	2016-07-07 23:20:16 -06:00
RELEASE_NOTES.txt	reformatted	2016-07-07 23:20:16 -06:00
karoo_gp_base_class.py	a number of note-worthy updates	2016-07-07 23:00:21 -06:00
karoo_gp_main.py	a number of note-worthy updates	2016-07-07 23:00:21 -06:00
karoo_gp_quick_start.pdf	version update	2016-07-09 09:27:20 -06:00
karoo_gp_server.py	a number of note-worthy updates	2016-07-07 23:00:21 -06:00

README.md

Karoo GP

Karoo GP is an evolutionary algorithm, a Genetic Programming application suite which provides both Symbolic Regression and Classification analysis. Written in the programming language Python, Karoo GP owes its foundation to the "Field Guide to Genetic Programming" by Poli, Langdon, McPhee, and Koza.

Karoo GP provides a transparent interface to the inner workings of Genetic Programming. As a teaching tool, it enables instructors to showcase, 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, no-programming-required interface. Included with Karoo GP are two executables: an intuitive Text-based User Interface with built-in, real-world test cases, and a fully scriptable, single-line configuration which provides SciKit Learn-like functionality.

The 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. Included are a suite of data manipulation tools and example datasets.

Feedback is welcomed.

Enjoy!

Kai Staats