pypge

Python implementation of the PGE algorithm (voted Best Paper Gecco 2013)

If you publish using this library, please cite the above paper.

PGE stands for Prioritized Grammar Enumeration and is the method for solving the Symbolic Regression problem.

This package is under heavy development until this comment is removed

Installation

You can install PyPGE with pip.

pip install pypge

Dependencies

It's recommended to use Python 3 due to GIL thrashing. Learn more starting here.

PyPGE depends on several libraries, both Python and other.

Non-Python:

apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran

Python:

pip install -r requirements.txt

Alternatively you can use conda to install the Python dependencies:

conda install --yes atlas numpy scipy pytest pandas scikit-learn sympy

scikit-learn integration

planned, of primary concern

Things to know

• When pretty printing, sympy performs simplification, which can remove terms if the floating point print precision is not sufficient (looks like zero)

Contributing

Branching practices follow the methodology outlined at: http://nvie.com/posts/a-successful-git-branching-model/