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Visualizing SHAP Values in R with shapviz

Michael Mayer announces a new package:

SHAP (SHapley Additive exPlanations, Lundberg and Lee, 2017) is an ingenious way to study black box models. SHAP values decompose – as fair as possible – predictions into additive feature contributions.

When it comes to SHAP, the Python implementation is the de-facto standard. It not only offers many SHAP algorithms, but also provides beautiful plots. In R, the situation is a bit more confusing. Different packages contain implementations of SHAP algorithms

Read on to see how shapviz works, how to install it, and the types of visuals you can create from it.

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