kanfood: interpretable Kolmogorov–Arnold networks for food spectroscopy

Leakage-free, equal-budget pipeline benchmarking an interpretable Kolmogorov-Arnold network against PLS, SVR, random forest, MLP and a 1-D CNN for food adulteration and quality analysis by FTIR/NIR spectroscopy, with closed-form symbolic equations and chemically meaningful response curves. Ships with the open tahini adulteration FTIR dataset (CC-BY-4.0).