Struct LossMatrixCalibrator 

pub struct LossMatrixCalibrator { /* private fields */ }

Calibrator that applies Bayesian shrinkage to loss observations.

Implementations

impl LossMatrixCalibrator

pub fn new() -> Self

Create a new calibrator with default priors.

pub fn with_priors( prior_false_negative: BayesianShrinkagePrior, prior_validate_cost: BayesianShrinkagePrior, prior_false_positive: BayesianShrinkagePrior, ) -> Self

Create a calibrator with custom priors.

pub fn observe(&mut self, obs: &LossObservation)

Record an observation.

pub fn observe_batch(&mut self, observations: &[LossObservation])

Record multiple observations.

pub fn calibrate(&self) -> CalibratedLossMatrix

Produce a calibrated loss matrix using current observations.

pub fn samples_for_confidence( _prior: &BayesianShrinkagePrior, threshold: f64, ) -> usize

Minimum samples needed before shrinkage weight exceeds threshold.

Returns the sample count n where w >= threshold, assuming empirical variance equals a reference variance (prior_variance by default).

pub fn reset(&mut self)

Reset accumulated statistics.

pub fn sample_counts(&self) -> LossSampleCounts

Get current sample counts.

Trait Implementations

impl Clone for LossMatrixCalibrator

fn clone(&self) -> LossMatrixCalibrator

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LossMatrixCalibrator

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

Formats the value using the given formatter.

impl Default for LossMatrixCalibrator

fn default() -> Self

Returns the “default value” for a type.