A Classification Module for Genetic Programming Algorithms in JCLEC
Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
Journal of Machine Learning Research · 2015 · Volume 16
Abstract
JCLEC-Classification is a usable and extensible open source library for genetic programming classification algorithms. It houses implementations of rule-based methods for classification based on genetic programming, supporting multiple model representations and providing to users the tools to implement any classifier easily. The software is written in Java and it is available from jclec.sourceforge.net/classification under the GPL license.
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