Struct KernelDensityEstimator 

pub struct KernelDensityEstimator<C>(pub C);

Kernel density estimator.

It is used to model «good» and «bad» parameter distributions, but can also be used standalone.

Type parameters

• [C]: iterator of KDE’s components that are Density and Sample.

Tuple Fields

0: C

Trait Implementations

impl<C: Clone> Clone for KernelDensityEstimator<C>

fn clone(&self) -> KernelDensityEstimator<C>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<C: Debug> Debug for KernelDensityEstimator<C>

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

Formats the value using the given formatter.

impl<Ks> Density for KernelDensityEstimator<Ks>

where Ks: Iterator + Clone, Ks::Item: Density, <<Ks as Iterator>::Item as Density>::Param: Copy, <<Ks as Iterator>::Item as Density>::Output: SelfAdd + SelfDiv + FromPrimitive + Zero,

fn density(&self, at: Self::Param) -> Self::Output

Calculate the KDE’s density at the specified point.

The method returns [P::zero()], if there are no components.

type Param = <<Ks as Iterator>::Item as Density>::Param

Parameter type.

type Output = <<Ks as Iterator>::Item as Density>::Output

Output density value type.

impl<Ks> Sample for KernelDensityEstimator<Ks>

where Ks: Iterator + Clone, Ks::Item: Sample,

fn sample(&self, rng: &mut Rng) -> Self::Param

Sample a random point from the KDE.

The algorithm uses «reservoir sampling» to pick a random component, and then samples a point from that component.

The method returns None, if the estimator has no components.

type Param = Option<<<Ks as Iterator>::Item as Sample>::Param>

Sampled value type.

impl<C: Copy> Copy for KernelDensityEstimator<C>