Unofficial but extremely useful Label and One Hot encoders. Always wanted to be able to use One Hot encoding with string values? to use a label encoder that can handle unknown values? This package finally allows you to do so!
The Encoders are 100% skelarn compatible and were tested with both skelarn compatible tests and hypothesis fuzz testing.

pip install git+https://github.com/RazHoshia/unofficial_encoders.git

Please check the examples folder.

Please feel free to open issues and pull requests.

git clone https://github.com/RazHoshia/unofficial_encoders.git
cd unofficial_encoders
pip install -e . # install in editable mode, see https://setuptools.readthedocs.io/en/latest/userguide/development_mode.html

Before Submitting PRs, please check your code using tox. The project's tox.ini can be found here.

pip install tox
cd unofficial_encoders
tox

• https://scikit-learn.org/stable/developers/develop.html
• https://stackoverflow.com/questions/21057621/sklearn-labelencoder-with-never-seen-before-values