Metadata-Version: 2.1
Name: dcgpy
Version: 1.4.1
Summary: Implementation of differentiable Cartesian Genetic Programming (d-CGP).
Home-page: https://github.com/darioizzo/d-CGP
Author: Dario Izzo
Author-email: dario.izzo@gmail.com
License: GPLv3+/LGPL3+
Keywords: cartesian genetic programming backpropagation machine learning
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Requires-Dist: pyaudi
Requires-Dist: pygmo

The d-CGP is a recent development in the field of Genetic Programming that builds upon Cartesian Genetic Programming adding the information about the any-order derivatives of encoded program using a differential algebra. As such this package can be used both to experiment with Cartesian Genetic Programming in the usual way, and to perform novel research on the use of the derivative in learning GP expressions.


