Struct eval_metrics::classification::PrCurve

pub struct PrCurve<T: Scalar> {
    pub points: Vec<PrPoint<T>>,
    // some fields omitted
}

Represents a full precision-recall curve

Fields

points: Vec<PrPoint<T>>

PR curve points

Implementations

impl<T: Scalar> PrCurve<T>

pub fn compute(
    scores: &Vec<T>,
    labels: &Vec<bool>
) -> Result<PrCurve<T>, EvalError>

Computes the precision-recall curve from the provided data

Arguments

• scores - vector of scores
• labels - vector of labels

Errors

An invalid input error will be returned if either scores or labels are empty or contain a single data point, or if their lengths do not match. An undefined metric error will be returned if scores contain any value that is not finite, or if labels are all false.

Examples

use eval_metrics::classification::PrCurve;
let scores = vec![0.4, 0.7, 0.1, 0.3, 0.9];
let labels = vec![false, true, false, true, true];
let pr = PrCurve::compute(&scores, &labels)?;

pub fn ap(&self) -> T

Computes average precision from the PR curve

Trait Implementations

impl<T: Clone + Scalar> Clone for PrCurve<T>

fn clone(&self) -> PrCurve<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug + Scalar> Debug for PrCurve<T>

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

Formats the value using the given formatter.