Metadata-Version: 2.1
Name: autofeat
Version: 2.1.3
Summary: Automatic Feature Engineering and Selection Linear Prediction Model
Home-page: https://franziskahorn.de/autofeat
License: MIT
Keywords: automl,feature engineering,feature selection,linear model
Author: Franziska Horn
Author-email: cod3licious@gmail.com
Requires-Python: >=3.8.1,<3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: joblib (>=1.2.0,<2.0.0)
Requires-Dist: numba (>=0.53.1)
Requires-Dist: numpy (>=1.20.3,<2.0.0)
Requires-Dist: pandas (>=1.3.5,<3.0.0)
Requires-Dist: pint (>=0.17,<1.0)
Requires-Dist: scikit-learn (>=1.2.0,<2.0.0)
Requires-Dist: scipy (>=1.7.3,<2.0.0)
Requires-Dist: sympy (>=1.7.1,<2.0.0)
Project-URL: Repository, https://github.com/cod3licious/autofeat
Description-Content-Type: text/markdown

# `autofeat` library

This library contains `sklearn`-compatible linear prediction models with automated feature engineering and selection capabilities.

For more information please have a look at the [documentation](https://franziskahorn.de/autofeat).

The code is intended for research purposes.

If you have any questions please don't hesitate to send me an [email](mailto:cod3licious@gmail.com) and of course if you should find any bugs or want to contribute other improvements, pull requests are very welcome!


### Acknowledgments

This project was made possible thanks to support by [BASF](https://www.basf.com).

