Enum DistributionMetrics 

#[repr(i32)]
pub enum DistributionMetrics {
    CrossEntropy = 1,
    KullbackLeiblerDivergence = 2,
    JensenShannonDivergence = 3,
    Hellinger = 4,
}

Metrics for distributions

Variants

CrossEntropy = 1

Dot product

KullbackLeiblerDivergence = 2

KL divergence

JensenShannonDivergence = 3

JS divergence

Hellinger = 4

Hellinger distance

Trait Implementations

impl Clone for DistributionMetrics

fn clone(&self) -> DistributionMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DistributionMetrics

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

Formats the value using the given formatter.

impl<T: Fp> Metrics<&[T], T> for DistributionMetrics

fn measure(self, x: &[T], y: &[T]) -> T

Calculate metrics between input data entity

impl PartialEq for DistributionMetrics

fn eq(&self, other: &DistributionMetrics) -> 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 StructuralPartialEq for DistributionMetrics