Struct linfa_clustering::AppxDbscanValidParams

pub struct AppxDbscanValidParams<F: Float, N> { /* private fields */ }

The set of hyperparameters that can be specified for the execution of the Approximated DBSCAN algorithm.

Implementations

impl<F: Float, N> AppxDbscanValidParams<F, N>

pub fn tolerance(&self) -> F

Distance between points for them to be considered neighbours.

pub fn minimum_points(&self) -> usize

Distance between points for them to be considered neighbours.

pub fn slack(&self) -> F

Minimum number of neighboring points a point needs to have to be a core point and not a noise point.

pub fn appx_tolerance(&self) -> F

Get the approximate tolerance (tolerance * (1 + slack)) Approximation factor, allows the distance between two points for them to be considered neighbours to reach tolerance * (1 + slack)

pub fn nn_algo(&self) -> &N

Nearest neighbour algorithm used for range queries

Trait Implementations

impl<F: Clone + Float, N: Clone> Clone for AppxDbscanValidParams<F, N>

fn clone(&self) -> AppxDbscanValidParams<F, N>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug + Float, N: Debug> Debug for AppxDbscanValidParams<F, N>

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

Formats the value using the given formatter.

impl<F: PartialEq + Float, N: PartialEq> PartialEq<AppxDbscanValidParams<F, N>> for AppxDbscanValidParams<F, N>

fn eq(&self, other: &AppxDbscanValidParams<F, N>) -> 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<F: Float, D: Data<Elem = F>, N: NearestNeighbour> Transformer<&ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<Option<usize>>, Dim<[usize; 1]>>> for AppxDbscanValidParams<F, N>

fn transform(&self, observations: &ArrayBase<D, Ix2>) -> Array1<Option<usize>>

impl<F: Float, D: Data<Elem = F>, N: NearestNeighbour, T> Transformer<DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>, DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<Option<usize>>, Dim<[usize; 1]>>>> for AppxDbscanValidParams<F, N>

fn transform(
    &self,
    dataset: DatasetBase<ArrayBase<D, Ix2>, T>
) -> DatasetBase<ArrayBase<D, Ix2>, Array1<Option<usize>>>

impl<F: Float, N> StructuralPartialEq for AppxDbscanValidParams<F, N>