Metadata-Version: 2.1
Name: shapresearchable
Version: 0.0.1
Summary: A unified approach to explain the output of any machine learning model.
Home-page: https://github.com/GeneralZYQ/researchableShap
Author: Zhang Yuanqing
Author-email: y.zhang@researchable.nl
License: MIT
Download-URL: https://github.com/GeneralZYQ/researchableShap/archive/0.0.1.tar.gz
Description: 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.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Provides-Extra: plots
Provides-Extra: others
Provides-Extra: docs
Provides-Extra: test
Provides-Extra: all
