Enum UnbalancedRegularization 

#[non_exhaustive]
pub enum UnbalancedRegularization {
    KLDivergence,
    L2,
}

Marginal relaxation type for unbalanced OT.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

KLDivergence

KL-divergence marginal penalty: τ KL(T1 | a) + τ KL(1ᵀT | b). This is the standard choice for UOT and leads to a closed-form proximal step in the scaling algorithm.

L2

L2-norm marginal penalty: (τ/2) ‖T1 − a‖² + (τ/2) ‖1ᵀT − b‖². The proximal step is a soft-thresholding operator.

Trait Implementations

impl Clone for UnbalancedRegularization

fn clone(&self) -> UnbalancedRegularization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for UnbalancedRegularization

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

Formats the value using the given formatter.

impl PartialEq for UnbalancedRegularization

fn eq(&self, other: &UnbalancedRegularization) -> 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 UnbalancedRegularization