Struct ProductKernel 

pub struct ProductKernel {
    pub kernel1: Box<dyn SurrogateKernel>,
    pub kernel2: Box<dyn SurrogateKernel>,
}

Product of two kernels: k(x,x’) = k1(x,x’) * k2(x,x’)

Fields

kernel1: Box<dyn SurrogateKernel>

kernel2: Box<dyn SurrogateKernel>

Implementations

impl ProductKernel

pub fn new(k1: Box<dyn SurrogateKernel>, k2: Box<dyn SurrogateKernel>) -> Self

Trait Implementations

impl Clone for ProductKernel

fn clone(&self) -> ProductKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl SurrogateKernel for ProductKernel

fn eval(&self, x1: &ArrayView1<'_, f64>, x2: &ArrayView1<'_, f64>) -> f64

Evaluate the kernel between two input vectors.

fn get_log_params(&self) -> Vec<f64>

Return current hyperparameters as a flat vector (log-scale).

fn set_log_params(&mut self, params: &[f64])

Set hyperparameters from a flat vector (log-scale).

fn clone_box(&self) -> Box<dyn SurrogateKernel>

Clone the kernel into a boxed trait object.

fn name(&self) -> &str

Name of the kernel (for debug display).

fn covariance_matrix(&self, x: &Array2<f64>) -> Array2<f64>

Compute the full covariance matrix for a set of inputs.

fn cross_covariance(&self, x1: &Array2<f64>, x2: &Array2<f64>) -> Array2<f64>

Compute the cross-covariance matrix between two sets of inputs.

fn n_params(&self) -> usize

Number of hyperparameters.