Feature Engineering Transformer Set
Maintainers
Project description
FETS
[](https://gitlab.com/redsharpbyte/fets/commits/master) [](https://gitlab.com/redsharpbyte/fets/commits/master)
Set of ready-to-use transformers for your feature engineering pipelines in scikit-learn.
Inspired by the number of times I had to rewrite transformers and by the number of times we all did exactly the same.
How-To
TODO
Main requirements
- [Scikit-learn](http://scikit-learn.org/)
Installation
TODO ` red@spaceport# pip install fets `
Testing
` red@spaceport# pytest -v tests `
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| fets-0.0.4-py2.py3-none-any.whl (7.4 kB) Copy SHA256 hash SHA256 | Wheel | py2.py3 | Jun 13, 2018 |
](https://gitlab.com/redsharpbyte/fets/commits/master){kind=link}
](https://gitlab.com/redsharpbyte/fets/commits/master){kind=link}