Struct linfa_nn::distance::L1Dist

pub struct L1Dist;

L1 or Manhattan distance

Trait Implementations

impl Clone for L1Dist

fn clone(&self) -> L1Dist

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for L1Dist

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

Formats the value using the given formatter.

impl<F: Float> Distance<F> for L1Dist

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 L1Dist

fn eq(&self, other: &L1Dist) -> 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 L1Dist

impl StructuralEq for L1Dist

impl StructuralPartialEq for L1Dist