Enum DistanceKernelType 

pub enum DistanceKernelType {
    Euclidean,
    SquaredEuclidean,
    Manhattan,
    Cosine,
    Chebyshev,
    Minkowski,
    Hamming,
}

Distance kernel type for GPU acceleration

Variants

Euclidean

Euclidean distance (L2)

SquaredEuclidean

Squared Euclidean distance (faster, no sqrt)

Manhattan

Manhattan distance (L1)

Cosine

Cosine distance

Chebyshev

Chebyshev distance (L-infinity)

Minkowski

Minkowski distance with parameter p

Hamming

Hamming distance (for binary data)

Trait Implementations

impl Clone for DistanceKernelType

fn clone(&self) -> DistanceKernelType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DistanceKernelType

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

Formats the value using the given formatter.

impl Default for DistanceKernelType

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DistanceKernelType

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DistanceKernelType

fn eq(&self, other: &DistanceKernelType) -> 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 Serialize for DistanceKernelType

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 DistanceKernelType

impl Eq for DistanceKernelType

impl StructuralPartialEq for DistanceKernelType