GLM tooling for insurance pricing — nested GLM embeddings, R2VF factor level clustering, territory banding, SKATER
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Updated
Apr 4, 2026 - Python
GLM tooling for insurance pricing — nested GLM embeddings, R2VF factor level clustering, territory banding, SKATER
R2VF factor level clustering for insurance GLMs — automated categorical banding with Poisson/Gamma/Tweedie, exposure offsets, monotonicity, BIC lambda selection (156 tests)
Extract multiplicative rating relativities from GBMs using SHAP values. Built for insurance pricing.
Automated GLM interaction detection for insurance pricing — CANN, NID scoring, SHAP interaction values
SHAP-based rating relativities from GBM models for insurance pricing — extract GLM-style factors from CatBoost, Polars
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