Struct PredictionSet 

pub struct PredictionSet {
    pub lower: f64,
    pub upper: f64,
    pub set: Vec<usize>,
}

A prediction set for a single test point.

For regression tasks the set is the interval [lower, upper]. For classification tasks the set is a collection of class indices.

Fields

lower: f64

Lower bound of the prediction interval (regression).

upper: f64

Upper bound of the prediction interval (regression).

set: Vec<usize>

Predicted class indices included in the set (classification).

Implementations

impl PredictionSet

pub fn interval(lower: f64, upper: f64) -> Self

Create a regression interval prediction set.

pub fn classification(set: Vec<usize>) -> Self

Create a classification prediction set.

pub fn contains_value(&self, value: f64) -> bool

Return true if value is inside the regression interval.

pub fn contains_class(&self, class: usize) -> bool

Return true if class is in the classification set.

pub fn width(&self) -> f64

Width of the regression interval. Returns f64::INFINITY for classification sets.

Trait Implementations

impl Clone for PredictionSet

fn clone(&self) -> PredictionSet

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PredictionSet

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

Formats the value using the given formatter.

impl PartialEq for PredictionSet

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for PredictionSet