Description:

glyph is a python 3 library based on deap providing abstraction layers for symbolic regression problems.

It comes with batteries included:

• predefined primitive sets
• n-dimensional expression tree class
• symbolic and structural constants
• interfacing constant optimization to scipy.optimize
• easy integration with joblib or dask.distributed
• symbolic constraints
• boilerplate code for logging, checkpointing, break conditions and command line applications
• rich set of algorithms

glyph also includes a plug and play command line application glyph-remote which lets non-domain experts apply symbolic regression to their optimization tasks.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Platform Agnostic

Data Formats: Any

Tags: Genetic Programming, Mlc, Symbolic Regression

Archive: download here

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