Function gaussian_kernel 

pub fn gaussian_kernel(d: f64, h: f64) -> f64

Gaussian kernel: K(d, h) = exp(-d² / (2h²)).

This is the un-normalized version used by Nadaraya-Watson regression and kernel classification. For density estimation with normalization, see the smoothing module.