Project details for glyph

Logo glyph 0.3.2

by mquade - June 1, 2017, 20:51:52 CET [ Project Homepage BibTeX Download ]

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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
URL: Project Homepage
Supported Operating Systems: Platform Agnostic
Data Formats: Any
Tags: Genetic Programming, Mlc, Symbolic Regression
Archive: download here

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