Demystifying Bayesian Models: Unveiling Explanability through SHAP Values | by Shuyang Xiang | May, 2023
[ad_1] Exploring PyMC’s Insights with SHAP Framework via an Engaging Toy ExampleSHAP values (SHapley Additive exPlanations) are a game-theory-based method used to increase the transparency and interpretability of machine learning…