TPSAS-NF1676L-30723-DND
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Tyler S Townsend↗
Engineering topics
Tyler S Townsend
Publications and source records attributed to Tyler S Townsend.
Bingo: A Customizable Framework for Symbolic Regression with Genetic Programming
In this paper, we introduce Bingo, a flexible and customizable yet performant Python framework for symbolic regression with genetic programming. Bingo maintains a modular code structure for simple abstraction and easily swappable components. Fitness functions, selection methods, and constant optimization methods allow for easy problem-specific customization. Bingo also maintains several features for increased efficiency such as parallelism, equation simplification, and a C++ backend. We compare Bingo’s performance to other genetic programming for symbolic regression (GPSR) methods to show that it is both competitive and flexible.
machine learning↗