py311-shap2
0.42.0_2Unified 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.
Origin: misc/py-shap2
Category: misc
Size: 4.19MiB
License: MIT
Maintainer: yuri@FreeBSD.org
Dependencies: 8 packages
Required by: 0 packages
Website: github.com/slundberg/shap
$
pkg install py311-shap2Dependencies (8)
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