Project Summary
WekaGP is an algorithm to be used with Weka open source (GPL license) data-mining software.
Our Genetic Programming is inspired by Koza (1) and Banzhaf et al. (2). It can perform symbolic regression (continuous) or classification. Classification uses multiple one-against-all classifiers. Better accuracy is obtained on classification using a boosting technique (3).
(1) Koza, J.R. (1992), Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press
(2) Banzhaf, W., Nordin, P., Keller, R.E., Francone, F.D. (1998), Genetic Programming: An Introduction: On the Automatic Evolution of Computer Programs and Its Applications, Morgan Kaufmann
(3) Yoav Freund and Robert E. Schapire (1996). Experiments with a new boosting algorithm.
In a Nutshell, WekaGP...
GNU General Public License v2.0 or later
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Sub-License
Hold Liable
Required
Distribute Original
Disclose Source
Include Copyright
State Changes
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
Did You Know...
-
...
55% of companies leverage OSS for production infrastructure
-
...
check out hot projects on the Open Hub
-
...
there are over 3,000 projects on the Open Hub with security vulnerabilities reported against them
-
...
by exploring contributors within projects, you can view details on every commit they have made to that project
