category-encoders 2.6.4

A collection of sklearn transformers to encode categorical variables as numeric

Stars: 2405, Watchers: 2405, Forks: 395, Open Issues: 46

The scikit-learn-contrib/category_encoders repo was created 8 years ago and the last code push was 1 weeks ago.
The project is very popular with an impressive 2405 github stars!

How to Install category-encoders

You can install category-encoders using pip

pip install category-encoders

or add it to a project with poetry

poetry add category-encoders

Package Details

Author

Will McGinnis

License

BSD

Homepage

https://github.com/scikit-learn-contrib/category_encoders

PyPi:

https://pypi.org/project/category-encoders/

GitHub Repo:

https://github.com/scikit-learn-contrib/category_encoders

Classifiers

Related Packages

Errors

A list of common category-encoders errors.

Code Examples

Here are some category-encoders code examples and snippets.

GitHub Issues

The category-encoders package has 46 open issues on GitHub

• Fix pandas future warning for dropping invariants
• [DOC] Gaussian noise regularization: multiplicative or additive?
• An examples package is installed and messes up every other examples folder
• [Security] Workflow pypi-publish.yml is using vulnerable action actions/checkout
• [WIP] Refactor/base class
• TargetEncoder Unresponsive to Smoothing Parameter
• Broken inverse_transform for OrdinalEncoder when custom mapping in use!

See more issues on GitHub