A stack-based genetic programming system
Project description
StackGP
A stack-based genetic programming system in Python
Publications using StackGP:
- Active Learning Improves Performance on Symbolic Regression Tasks in StackGP https://dl.acm.org/doi/10.1145/3520304.3528941
- Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks https://link.springer.com/chapter/10.1007/978-981-19-8460-0_2
- Active Learning Informs Symbolic Regression Model Development in Genetic Programming https://doi.org/10.1145/3583133.3590577
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
stackgp-0.0.8.tar.gz
(15.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
stackgp-0.0.8-py3-none-any.whl
(14.7 kB
view details)
File details
Details for the file stackgp-0.0.8.tar.gz.
File metadata
- Download URL: stackgp-0.0.8.tar.gz
- Upload date:
- Size: 15.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6897e5212abb4a4f1dd430bb290c4966269f294b7a4112c9f7f44f490e0c2c3f
|
|
| MD5 |
0056e50ad9d83201d4b2a2125c4e89a3
|
|
| BLAKE2b-256 |
9e49ba7ab8f761240f7ca1df29bba5b2ed9a6b8e103539fa03759edbe75d49b8
|
File details
Details for the file stackgp-0.0.8-py3-none-any.whl.
File metadata
- Download URL: stackgp-0.0.8-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a2c7d3269e43e6a6d9e7dac660e3a0ba02e10d0586bfa2b740fce7c7478af056
|
|
| MD5 |
e5929fa49755d19a7dbab9e74e24d2e3
|
|
| BLAKE2b-256 |
852f2d1647ba8fae37e1a3ae6094c853527c9799375778b14dc763f2e0b0856f
|