Enum WeightingStrategy

pub enum WeightingStrategy {
    Uniform,
    Distance,
}

Represents the strategy used for weighting neighbors in KNN algorithm.

Variants

• Uniform - Each neighbor is weighted equally
• Distance - Neighbors are weighted by the inverse of their distance (closer neighbors have greater influence)

Variants

Uniform

All neighbors are weighted equally regardless of their distance to the query point.

Distance

Neighbors are weighted by the inverse of their distance, giving closer neighbors more influence on the prediction.

Trait Implementations

impl Clone for WeightingStrategy

fn clone(&self) -> WeightingStrategy

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for WeightingStrategy

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

Formats the value using the given formatter.

impl PartialEq for WeightingStrategy

fn eq(&self, other: &WeightingStrategy) -> 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 WeightingStrategy