Interpretability

Looking for usage documentation? Check out Interpretability.

Installation

pip install "tabpfn-extensions[interpretability]"

For SHAP plots, also install shap:

pip install shap

Choose a topic to see its functions, parameters, and return types. Related helpers and result classes appear together on each page.

Create imputation-based, infinity-masking, or remove-and-recontextualize explainers, and prepare their results for SHAP plots.

Plot partial dependence and individual conditional expectation.

Select features with cross-validation and inspect FeatureSelectionResult.

Inspect attention weights over training rows, aggregate class votes, and plot their contributions.