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
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| autofeat-2.1.3.tar.gz | 21.9 kB | Without provenance | Details for autofeat-2.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| autofeat-2.1.3-py3-none-any.whl | Python 3 | none | any | Details for autofeat-2.1.3-py3-none-any.whl |
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 |
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poetry/1.8.2 CPython/3.11.6 Darwin/23.5.0
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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 |
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SHA-256 checksum How to use checksums |
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No |
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poetry/1.8.2 CPython/3.11.6 Darwin/23.5.0
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