Struct SumKernel 

pub struct SumKernel { /* private fields */ }

Sum kernel for composing kernels additively

Implementations

impl SumKernel

pub fn new(kernels: Vec<Box<dyn Kernel>>) -> Self

Trait Implementations

impl Clone for SumKernel

fn clone(&self) -> SumKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SumKernel

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

Formats the value using the given formatter.

impl Kernel for SumKernel

fn compute_kernel_matrix( &self, X1: &Array2<f64>, X2: Option<&Array2<f64>>, ) -> SklResult<Array2<f64>>

Compute the kernel matrix between X1 and X2

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

Compute the kernel between two points

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

Get hyperparameters

fn set_params(&mut self, params: &[f64]) -> SklResult<()>

Set hyperparameters

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

Clone the kernel

fn compute_kernel_gradient( &self, X1: &Array2<f64>, X2: Option<&Array2<f64>>, ) -> SklResult<Vec<Array2<f64>>>

Compute the gradient of the kernel matrix with respect to hyperparameters Returns a vector of gradient matrices, one for each hyperparameter

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

Compute the gradient of the kernel function with respect to hyperparameters for a single pair of points