shap 0.45.0

A unified approach to explain the output of any machine learning model.

Stars: 21509, Watchers: 21509, Forks: 3150, Open Issues: 1233

The shap/shap repo was created 7 years ago and the last code push was an hour ago.
The project is extremely popular with a mindblowing 21509 github stars!

How to Install shap

You can install shap using pip

pip install shap

or add it to a project with poetry

poetry add shap

Package Details

Author

License

MIT License

Homepage

PyPi:

https://pypi.org/project/shap/

Documentation:

https://shap.readthedocs.io/en/latest/index.html

GitHub Repo:

https://github.com/slundberg/shap

Classifiers

• Scientific/Engineering
• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common shap errors.

Code Examples

Here are some shap code examples and snippets.

GitHub Issues

The shap package has 1233 open issues on GitHub

• Remove ._old_format() from PermutationsExplainer
• explanation._old_format() with PermutationExplainer
• Multi output regressor
• CatBoostClassifier: SHAP values don't add up to the output
• Enabling the matplotlib "ax" keyword argument to plot functions
• [GPUTree] waterfall_plot requires a scalar base_values of the model output as the first parameter, but…
• File descriptor not closed in CatBoostTreeModelLoader ctor
• Previous versions' wheels are not kept for all distributions
• SHAP for Reinforcment Learning
• Bump follow-redirects from 1.11.0 to 1.14.7 in /javascript
• Fix _record_gradient attribute error in tensorflow>=2.5.0
• add dependece_plot 'ymin' and 'ymax' args
• correct plt to pl
• cannot import name 'DenseData' and 'visualize' from 'shap'
• ModuleNotFoundError: No module named 'cv2'

See more issues on GitHub