Skip to main content

Implementation of differentiable Cartesian Genetic Programming (d-CGP).

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

dcgpy-1.4.1-cp37-cp37m-manylinux2010_x86_64.whl (15.2 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

dcgpy-1.4.1-cp36-cp36m-manylinux2010_x86_64.whl (15.2 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

dcgpy-1.4.1-cp27-cp27m-manylinux2010_x86_64.whl (15.2 MB view hashes)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page