Enum WeightFunction 

#[non_exhaustive]
pub enum WeightFunction {
    Uniform,
    Distance,
}

Weighting function for neighbor votes.

Controls how the k-nearest neighbors contribute to predictions.

Example

use scry_learn::neighbors::{KnnClassifier, WeightFunction};

let knn = KnnClassifier::new()
    .k(5)
    .weights(WeightFunction::Distance);

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Uniform

All neighbors have equal vote weight.

Distance

Closer neighbors contribute more: weight = 1 / distance.

When distance is zero (exact match), that neighbor gets all the weight.

Trait Implementations

impl Clone for WeightFunction

fn clone(&self) -> WeightFunction

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WeightFunction

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

Formats the value using the given formatter.

impl Default for WeightFunction

fn default() -> WeightFunction

Returns the “default value” for a type.

impl Copy for WeightFunction