Struct ExpSineSquaredKernel 

pub struct ExpSineSquaredKernel { /* private fields */ }

Exponential Sine Squared kernel (also known as Periodic kernel).

K(x, y) = exp(-2 * sin²(π * |x - y| / period) / l²)

This is equivalent to the ExpSineSquared kernel in scikit-learn. It models functions that repeat exactly over a specified period.

Implementations

impl ExpSineSquaredKernel

pub fn new(period: f64, length_scale: f64) -> Result<Self>

Create a new Exponential Sine Squared kernel.

Arguments

• period - Period of the pattern (must be positive)
• length_scale - Length scale parameter (must be positive)

pub fn period(&self) -> f64

Get the period.

pub fn length_scale(&self) -> f64

Get the length scale.

Trait Implementations

impl Clone for ExpSineSquaredKernel

fn clone(&self) -> ExpSineSquaredKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ExpSineSquaredKernel

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

Formats the value using the given formatter.

impl Kernel for ExpSineSquaredKernel

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.