Struct linfa_nn::LinearSearch

pub struct LinearSearch;

Implementation of linear search, which is the simplest nearest neighbour algorithm. All queries are implemented by scanning through every point, so all of them are O(N). Calling from_batch returns a LinearSearchIndex.

Implementations

impl LinearSearch

pub fn new() -> Self

Creates an instance of LinearSearch

Trait Implementations

impl Clone for LinearSearch

fn clone(&self) -> LinearSearch

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LinearSearch

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

Formats the value using the given formatter.

impl Default for LinearSearch

fn default() -> LinearSearch

Returns the “default value” for a type.

impl NearestNeighbour for LinearSearch

fn from_batch_with_leaf_size<'a, F: Float, DT: Data<Elem = F>, D: 'a + Distance<F>>(
    &self,
    batch: &'a ArrayBase<DT, Ix2>,
    leaf_size: usize,
    dist_fn: D
) -> Result<Box<dyn NearestNeighbourIndex<F> + 'a>, BuildError>

Builds a spatial index using a MxN two-dimensional array representing M points with N dimensions. Also takes leaf_size, which specifies the number of elements in the leaf nodes of tree-like index structures.

fn from_batch<'a, F: Float, DT: Data<Elem = F>, D: 'a + Distance<F>>(
    &self,
    batch: &'a ArrayBase<DT, Ix2>,
    dist_fn: D
) -> Result<Box<dyn NearestNeighbourIndex<F> + 'a>, BuildError>

Builds a spatial index using a default leaf size. See from_batch_with_leaf_size for more information.