Function fpc_shap_values_logistic 

pub fn fpc_shap_values_logistic(
    fit: &FunctionalLogisticResult,
    data: &FdMatrix,
    scalar_covariates: Option<&FdMatrix>,
    n_samples: usize,
    seed: u64,
) -> Result<FpcShapValues, FdarError>

Kernel SHAP values for a functional logistic regression model.

Uses sampling-based Kernel SHAP approximation since the logistic link is nonlinear.

Errors

Returns FdarError::InvalidDimension if data has zero rows or its column count does not match fit.fpca.mean. Returns FdarError::InvalidParameter if n_samples is zero or fit.ncomp is zero.