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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.

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Files for dcgpy, version 1.4.1
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Filename, size dcgpy-1.4.1-cp27-cp27m-manylinux2010_x86_64.whl (15.2 MB) File type Wheel Python version cp27 Upload date Hashes View
Filename, size dcgpy-1.4.1-cp36-cp36m-manylinux2010_x86_64.whl (15.2 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size dcgpy-1.4.1-cp37-cp37m-manylinux2010_x86_64.whl (15.2 MB) File type Wheel Python version cp37 Upload date Hashes View

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