Enum LossCombination 

pub enum LossCombination {
    Sum,
    WeightedSum(Vec<Float>),
    Max,
    GeometricMean,
    Adaptive,
}

Loss combination strategies for joint optimization

Variants

Sum

Simple sum of individual losses

WeightedSum(Vec<Float>)

Weighted sum of individual losses

Max

Maximum of individual losses

GeometricMean

Geometric mean of individual losses

Adaptive

Adaptive weighting based on loss magnitudes

Trait Implementations

impl Clone for LossCombination

fn clone(&self) -> LossCombination

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LossCombination

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

Formats the value using the given formatter.

impl PartialEq for LossCombination

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