`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.

The code is intended for research purposes.

If you have any questions please don't hesitate to send me an email 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.

Metadata

Release files for autofeat 2.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for autofeat 2.1.3
File	Size	Uploaded
autofeat-2.1.3.tar.gz	21.9 kB	Jul 4, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for autofeat 2.1.3
File	Interpreter	ABI	Platform	Reset
autofeat-2.1.3-py3-none-any.whl 23.4 kB Jul 4, 2024	Python 3	none	any	Details

Total release size: 45.3 kB

Release files / autofeat-2.1.3.tar.gz

Download URL	autofeat-2.1.3.tar.gz
Size	21.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`7c9ce6633233a57873105763f8d3d385bf91a0a7c7bb784301e6fa9c857751eb`
BLAKE2b-256 checksum How to use checksums	`c39cd3951f6512d74595706afb70450fbd137b1607fd96d934676980f23cd316`
Upload date	Jul 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.2 CPython/3.11.6 Darwin/23.5.0`

Release files / autofeat-2.1.3-py3-none-any.whl

Download URL	autofeat-2.1.3-py3-none-any.whl
Size	23.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d9202b49f82cee1e9e655bd6dcda3052db155343994c8438e13d17a1b1f5fa48`
BLAKE2b-256 checksum How to use checksums	`43eb24f2d208af6b124d3d352e03039f120e7303d902a5b153c94cef2900b747`
Upload date	Jul 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.2 CPython/3.11.6 Darwin/23.5.0`