Unified approach to explain the output of any machine learning model
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions.
$
pkg install py311-shap2Origin
misc/py-shap2
Size
4.19MiB
License
MIT
Maintainer
yuri@FreeBSD.org
Dependencies
8 packages
Required by
0 packages