Struct ArdMaternKernel 

pub struct ArdMaternKernel { /* private fields */ }

ARD Matérn kernel with per-dimension length scales.

Supports Matérn with nu = 0.5 (exponential), 1.5, and 2.5.

Implementations

impl ArdMaternKernel

pub fn new(length_scales: Vec<f64>, nu: f64) -> Result<Self>

Create a new ARD Matérn kernel.

Arguments

• length_scales - Per-dimension length scales
• nu - Smoothness parameter (must be 0.5, 1.5, or 2.5)

pub fn with_variance( length_scales: Vec<f64>, nu: f64, variance: f64, ) -> Result<Self>

Create ARD Matérn kernel with custom variance.

pub fn exponential(length_scales: Vec<f64>) -> Result<Self>

Create ARD Matérn 1/2 kernel (exponential).

pub fn nu_3_2(length_scales: Vec<f64>) -> Result<Self>

Create ARD Matérn 3/2 kernel.

pub fn nu_5_2(length_scales: Vec<f64>) -> Result<Self>

Create ARD Matérn 5/2 kernel.

pub fn length_scales(&self) -> &[f64]

Get the length scales.

pub fn variance(&self) -> f64

Get the signal variance.

pub fn nu(&self) -> f64

Get the smoothness parameter nu.

Trait Implementations

impl Clone for ArdMaternKernel

fn clone(&self) -> ArdMaternKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ArdMaternKernel

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

Formats the value using the given formatter.

impl Kernel for ArdMaternKernel

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.