Enum GpKernel 

pub enum GpKernel {
    Rbf {
        sigma: f64,
        length_scale: f64,
    },
    Matern32 {
        sigma: f64,
        length_scale: f64,
    },
}

Gaussian Process kernel for Bayesian Optimization.

Variants

Rbf

Radial Basis Function (RBF) / Squared Exponential kernel. K(x, x’) = σ² * exp(-||x - x’||² / (2 * l²))

Fields

sigma: f64

Signal variance (output scale).

length_scale: f64

Length scale (input scale).

Matern32

Matérn kernel with ν = 3/2. K(x, x’) = σ² * (1 + √3 * r / l) * exp(-√3 * r / l)

Fields

sigma: f64

Signal variance.

length_scale: f64

Length scale.

Trait Implementations

impl Clone for GpKernel

fn clone(&self) -> GpKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GpKernel

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

Formats the value using the given formatter.

impl Default for GpKernel

fn default() -> Self

Returns the “default value” for a type.

impl Copy for GpKernel