Prioritized Grammar Enumeration is the method for solving Symbolic Regression

Prioritized Grammar Enumeration is the method for solving Symbolic Regression verdverm / pypge Public Notifications You must be signed in to change notification settings Fork 5 Star 52 Expand file tree / README.md Copy path More file actions More file actions Latest commit History History History 185 lines (122 loc) · 4.26 KB / README.md Copy path File metadata and controls 185 lines (122 loc) · 4.26 KB Raw Copy raw file Download raw file Outline Edit and raw actions 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.

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• verdverm / pypge Public Notifications You must be signed in to change notification settings Fork 5 Star 52 Expand file tree / README.md Copy path More file actions More file actions Latest commit History History History 185 lines (122 loc) · 4.26 KB / README.md Copy path File metadata and controls 185 lines (122 loc) · 4.26 KB Raw Copy raw file Download raw file Outline Edit and raw actions 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 Clone the repository.
• Pip is no longer the recommended method.
• Running PyPGE You will want to run an evaluation server, runtime is much better this way.
• docker run -d -p 8080:8080 --name evalr verdverm/pypge-eval Then you can run the experimenter container: docker run --rm -it --name pypge \ -v `pwd`:/pycode \ -p 8888:8888 \ verdverm/pypge-experiments \ /bin/bash You will find a run.sh bash script.