Metadata-Version: 2.1
Name: shap
Version: 0.41.0
Summary: A unified approach to explain the output of any machine learning model.
Home-page: http://github.com/slundberg/shap
Author: Scott Lundberg
Author-email: slund1@cs.washington.edu
License: MIT
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Description-Content-Type: text/markdown
Provides-Extra: plots
Provides-Extra: others
Provides-Extra: docs
Provides-Extra: test
Provides-Extra: all
License-File: LICENSE

SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
