GitHub / mpolinowski / sklearn-model-explainability
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.
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PURL: pkg:github/mpolinowski/sklearn-model-explainability
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.37 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 3 months ago
Pushed at: almost 2 years ago
Last synced at: 3 months ago
Topics: explainable-ml, ml-models, shap, sklearn
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