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insurance-gam


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Author: None
Summary: Interpretable GAM toolkit for insurance pricing: EBM, Neural Additive Models, Pairwise Interaction Networks, and debiased post-selection GLM inference for UK actuarial modelling.
Latest version: 0.5.2
Required dependencies: matplotlib | numpy | pandas | polars | pyarrow | scikit-learn | scipy
Optional dependencies: databricks-sdk | flask | interpret | openpyxl | pdoc | pyasn1 | pytest | pytest-cov | statsmodels | torch | werkzeug

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