Struct IsotonicCalibrator 

pub struct IsotonicCalibrator {
    pub thresholds: Vec<f64>,
    pub probabilities: Vec<f64>,
    pub train_sample_size: usize,
}

A non-parametric monotonic probability calibrator using the Pool Adjacent Violators Algorithm (PAVA).

Fields

thresholds: Vec<f64>

Score cutoffs sorted ascending.

probabilities: Vec<f64>

Corresponding calibrated probabilities in 0.0..=1.0 (guaranteed non-decreasing).

train_sample_size: usize

Implementations

impl IsotonicCalibrator

pub fn fit(samples: &[(f64, bool)]) -> Option<Self>

Fits an isotonic calibrator from a slice of (raw_score, actual_outcome) pairs.

Out-of-sample discipline: Call this method ONLY on training data!

pub fn predict(&self, raw_score: f64) -> f64

Evaluates a raw score against the frozen calibration curve.

Returns a monotone calibrated probability in 0.0..=1.0.

Trait Implementations

impl Clone for IsotonicCalibrator

fn clone(&self) -> IsotonicCalibrator

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for IsotonicCalibrator

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for IsotonicCalibrator

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for IsotonicCalibrator

fn eq(&self, other: &IsotonicCalibrator) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for IsotonicCalibrator

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for IsotonicCalibrator