fastgp is a numpy implementation of genetic programming built on top of deap. It is the core library for fastsr, a symbolic regression package for Python. It's primary contribution is an implementation of AFPO[1] which is compatible with any deap toolbox.
fastgp was designed and developed by the Morphology, Evolution & Cognition Laboratory at the University of Vermont. It extends research code which can be found here.
fastgp is compatible with Python 2.7+.
pip install fastgpfastgp is a core library and as such there are no examples in this repository. Check out fastsr for an example of fastgp's use in Symbolic Regression.