Struct ScaledKernel 

pub struct ScaledKernel<K: Kernel> { /* private fields */ }

Scaled kernel wrapper that multiplies a kernel by a variance parameter.

K_scaled(x, y) = σ² * K(x, y)

This is useful for controlling the output scale of any kernel.

Implementations

impl<K: Kernel> ScaledKernel<K>

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

Create a scaled kernel.

pub fn kernel(&self) -> &K

Get the base kernel.

pub fn variance(&self) -> f64

Get the variance.

Trait Implementations

impl<K: Clone + Kernel> Clone for ScaledKernel<K>

fn clone(&self) -> ScaledKernel<K>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<K: Debug + Kernel> Debug for ScaledKernel<K>

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

Formats the value using the given formatter.

impl<K: Kernel> Kernel for ScaledKernel<K>

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 is_psd(&self) -> bool

Check if kernel is positive semi-definite.

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

Compute kernel matrix for a set of inputs.