Genetic feature selection module for scikit-learn
Project description
sklearn-genetic
sklearn-genetic is a genetic feature selection module for scikit-learn.
Genetic algorithms mimic the process of natural selection to search for optimal values of a function.
Installation
Dependencies
sklearn-genetic requires:
Python (>= 3.7)
scikit-learn (>= 1.0)
deap (>= 1.0.2)
numpy
multiprocess
User installation
The easiest way to install sklearn-genetic is using pip
pip install sklearn-geneticor conda
conda install -c conda-forge sklearn-geneticDocumentation
Installation documentation, API reference and examples can be found on the documentation.
See also
shapicant, a feature selection package based on SHAP and target permutation, for pandas and Spark
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file sklearn-genetic-0.6.0.tar.gz.
File metadata
- Download URL: sklearn-genetic-0.6.0.tar.gz
- Upload date:
- Size: 11.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d5b5623e59feb6722cf5bb03b914dc93b8d93b3dff9103e5b9825241281b5338 |
|
| MD5 | cc009a3bb8d8d60e8d385a2fc959b954 |
|
| BLAKE2b-256 | e1c550b30647e3b073afd6a178937e6477d694cf25b44962464c0829ea830262 |
File details
Details for the file sklearn_genetic-0.6.0-py3-none-any.whl.
File metadata
- Download URL: sklearn_genetic-0.6.0-py3-none-any.whl
- Upload date:
- Size: 11.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 276ec0b44d8bcd50c67295b7cb2e9f3e8f38c6eb493f1cec5072d4ab48fdffbb |
|
| MD5 | cb682952b4793c36ef8ad64084d25150 |
|
| BLAKE2b-256 | d0faed2f4cdf4bbd1264248311243a593c515672e397733f6c961ef881bf29f8 |
