Struct WhiteNoiseKernel 

pub struct WhiteNoiseKernel { /* private fields */ }

Utility kernel: White Noise kernel for observation noise modeling.

K(x, y) = σ² if x == y, else 0

Used to model i.i.d. observation noise in Gaussian Processes.

Implementations

impl WhiteNoiseKernel

pub fn new(variance: f64) -> Result<Self>

Create a new white noise kernel.

Arguments

• variance - Noise variance (must be positive)

pub fn variance(&self) -> f64

Get the noise variance.

Trait Implementations

impl Clone for WhiteNoiseKernel

fn clone(&self) -> WhiteNoiseKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WhiteNoiseKernel

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

Formats the value using the given formatter.

impl Kernel for WhiteNoiseKernel

fn compute(&self, x: &[f64], y: &[f64]) -> Result<f64>

Compute kernel value between two inputs.

fn name(&self) -> &str

Get kernel name for identification.

fn compute_matrix(&self, inputs: &[Vec<f64>]) -> Result<Vec<Vec<f64>>>

Compute kernel matrix for a set of inputs.

fn is_psd(&self) -> bool

Check if kernel is positive semi-definite.