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GPdotNET Open Source Software for Running Genetic Programming
Abstract
In this chapter, GPdotNET v5 genetic programming tool is presented from the user's perspective. GPdotNET is a computer program for running tree-based genetic programming, and its application is modelling supervised machine-learning-based problems. The chapter contains detailed information on how to use GPdotNET in order to prepare data, setup GP parameters, and to run the GP search algorithm. Since GPdotNET supports all three kinds of supervised machine learning problems, the chapter contains three use cases which demonstrate how to successfully build high quality regression, binary, and classification models. GPdotNET contains export module, where the user is able to export GP model to Excel, R language, and Wolfram Mathematica.
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