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 structure-based constants
- interfacing constant optimization to
scipy.optimize - easy integration with
joblibordask.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.
Glyph is a python 3.6+ only package.
You can install the latest stable version from PyPI with pip
pip install pyglyph
or get the bleeding edge
pip install git+git://github.com/ambrosys/glyph.git#egg=glyph
The online documentation is available at glyph.readthedocs.io.
Please use the issue tracker. For contributions have a look at out contribution guide.