Enum KernelMethod

pub enum KernelMethod<F> {
    Gaussian(F),
    Linear,
    Polynomial(F, F),
}

The inner product definition used by a kernel.

There are three methods available:

• Gaussian(eps): d(x, x') = exp(-norm(x - x')/eps)
• Linear: d(x, x') = <x, x'>
• Polynomial(constant, degree): d(x, x') = (<x, x'> + costant)^(degree)

Variants

Gaussian(F)

Gaussian(eps): exp(-norm(x - x’)/eps)

Linear

Euclidean inner product

Polynomial(F, F)

Polynomial(constant, degree): (<x, x'> + costant)^(degree)

Implementations

impl<F: Float> KernelMethod<F>

pub fn distance(&self, a: ArrayView1<'_, F>, b: ArrayView1<'_, F>) -> F

pub fn is_linear(&self) -> bool

Trait Implementations

impl<F: Clone> Clone for KernelMethod<F>

fn clone(&self) -> KernelMethod<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for KernelMethod<F>

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

Formats the value using the given formatter.

impl<F: PartialEq> PartialEq for KernelMethod<F>

fn eq(&self, other: &KernelMethod<F>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<F> StructuralPartialEq for KernelMethod<F>