Struct SensitivityAnalyzer 

pub struct SensitivityAnalyzer { /* private fields */ }

Sensitivity analyzer — computes variance-based sensitivity indices.

Implementations

impl SensitivityAnalyzer

pub const fn new(n_samples: usize, seed: u64) -> Self

Create a new analyzer.

pub fn analyze<F>( &self, distributions: &[Distribution], model: F, ) -> SensitivityResult

where F: Fn(&[f64]) -> f64,

Analyze sensitivity of a model to its inputs.

Uses a simplified variance-based approach: for each variable, compute the variance of the output when only that variable varies (others fixed at mean), divided by the total variance.

pub fn analyze_with_labels<F>( &self, distributions: &[Distribution], labels: &[String], model: F, ) -> SensitivityResult

where F: Fn(&[f64]) -> f64,

Analyze with custom labels.

Trait Implementations

impl Debug for SensitivityAnalyzer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SensitivityAnalyzer

fn default() -> Self

Returns the “default value” for a type.