Struct hyperopt::kernel::continuous::Gaussian

pub struct Gaussian<T> { /* private fields */ }

Gaussian kernel.

Trait Implementations

impl<T: Clone> Clone for Gaussian<T>

fn clone(&self) -> Gaussian<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for Gaussian<T>

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

Formats the value using the given formatter.

impl<T> Default for Gaussian<T>

where T: Zero + One,

fn default() -> Self

Zero-centered standard normal distribution.

impl<T> Density<T, T> for Gaussian<T>

where T: Float + FromPrimitive,

fn density(&self, at: T) -> T

Calculate the density at the given point.

impl<T> Kernel<T, T> for Gaussian<T>

where Self: Density<T, T> + Sample<T>, T: PartialOrd + Zero,

fn new(location: T, bandwidth: T) -> Self

Construct a kernel with the given location and bandwidth.

impl<T> Sample<T> for Gaussian<T>

where T: Copy + SelfAdd + SelfMul + FromPrimitive,

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

Generate a sample from the Gaussian kernel.

impl<T: Copy> Copy for Gaussian<T>