Enum Kernel 

pub enum Kernel {
    Gaussian,
    Epanechnikov,
    Uniform,
    Triangular,
    Biweight,
    Triweight,
    Cosine,
}

Kernel functions for nonparametric estimation

Variants

Gaussian

Gaussian kernel: K(u) = exp(-u²/2) / √(2π)

Epanechnikov

Epanechnikov kernel: K(u) = 3/4(1 - u²) for |u| ≤ 1, 0 otherwise

Uniform

Uniform kernel: K(u) = 1/2 for |u| ≤ 1, 0 otherwise

Triangular

Triangular kernel: K(u) = 1 - |u| for |u| ≤ 1, 0 otherwise

Biweight

Biweight (quartic) kernel: K(u) = 15/16(1 - u²)² for |u| ≤ 1, 0 otherwise

Triweight

Triweight kernel: K(u) = 35/32(1 - u²)³ for |u| ≤ 1, 0 otherwise

Cosine

Cosine kernel: K(u) = π/4 cos(πu/2) for |u| ≤ 1, 0 otherwise

Trait Implementations

impl Clone for Kernel

fn clone(&self) -> Kernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Kernel

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Kernel

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Kernel

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for Kernel