Simple Genetic Programming
For Symbolic Regression
This Python 3 code is a simple implementation of genetic programming for symbolic regression, and has been developed for educational purposes.
Dependencies
numpy & sklearn. The file test.py shows an example of usage.
Installation
You can install it with pip using python3 -m pip install --user simplegp, or locally by downloading the code and running python3 setup.py install --user.
Reference
If you use this code, please support our research by citing one (or more) of our works for which this code was made or adopted:
M. Virgolin, A. De Lorenzo, E. Medvet, F. Randone. "Learning a Formula of Interpretability to Learn Interpretable Formulas". Parallel Problem Solving from Nature -- PPSN XVI, pp. 79--93, Springer (2020). (arXiv preprint arXiv:2004.11170)
M. Virgolin. "Genetic Programming is Naturally Suited to Evolve Bagging Ensembles". arXiv preprint arXiv:2009.06037v5 (2021)
Multi-objective
For a multi-objective version, see pyNSGP.
1 maintainer
Metadata
1 maintainer
Release files for SimpleGP 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SimpleGP-1.0.1.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SimpleGP-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.3 kB
Release files / SimpleGP-1.0.1.tar.gz
| Download URL | SimpleGP-1.0.1.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
Release files / SimpleGP-1.0.1-py3-none-any.whl
| Download URL | SimpleGP-1.0.1-py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
