Struct rusty_machine::learning::toolkit::kernel::KernelSum

pub struct KernelSum<T, U>where
    T: Kernel,
    U: Kernel,{ /* private fields */ }

The sum of two kernels

This struct should not be directly instantiated but instead is created when we add two kernels together.

Note that it will be more efficient to implement the final kernel manually yourself. However this provides an easy mechanism to test different combinations.

Examples

use rusty_machine::learning::toolkit::kernel::{Kernel, Polynomial, HyperTan, KernelArith};

let poly_ker = Polynomial::new(1f64,2f64,3f64);
let hypert_ker = HyperTan::new(1f64,2.5);

let poly_plus_hypert_ker = KernelArith(poly_ker) + KernelArith(hypert_ker);

println!("{0}", poly_plus_hypert_ker.kernel(&[1f64,2f64,3f64],
                                            &[3f64,1f64,2f64]));

Trait Implementations

impl<T: Debug, U: Debug> Debug for KernelSum<T, U>where
    T: Kernel,
    U: Kernel,

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

Formats the value using the given formatter.

impl<T, U> Kernel for KernelSum<T, U>where
    T: Kernel,
    U: Kernel,

Computes the sum of the two associated kernels.

fn kernel(&self, x1: &[f64], x2: &[f64]) -> f64

The kernel function.