Struct linfa_nn::distance::LInfDist

pub struct LInfDist;

L-infinte or Chebyshev distance

Trait Implementations

impl Clone for LInfDist

fn clone(&self) -> LInfDist

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LInfDist

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

Formats the value using the given formatter.

impl<F: Float> Distance<F> for LInfDist

fn distance<D: Dimension>( &self, a: ArrayView<'_, F, D>, b: ArrayView<'_, F, D> ) -> F

Computes the distance between two points. For most spatial algorithms to work correctly, this metric must satisfy the Triangle Inequality.

fn rdistance<D: Dimension>( &self, a: ArrayView<'_, F, D>, b: ArrayView<'_, F, D> ) -> F

A faster version of the distance metric that keeps the order of the distance function. That is, dist(a, b) > dist(c, d) implies rdist(a, b) > rdist(c, d). For most algorithms this is the same as distance. Unlike distance, this function does not need to satisfy the Triangle Inequality.

fn rdist_to_dist(&self, rdist: F) -> F

Converts the result of rdistance to distance

fn dist_to_rdist(&self, dist: F) -> F

Converts the result of distance to rdistance

impl PartialEq for LInfDist

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl Eq for LInfDist

impl StructuralEq for LInfDist

impl StructuralPartialEq for LInfDist