Enum LossType 

pub enum LossType {
    AmplitudeMse,
    IntensityMse,
    PoissonNegativeLogLikelihood,
    HuberAmplitude,
}

Scalar data-fidelity objective between predicted and measured intensity frames.

Variants

AmplitudeMse

Mean squared error between predicted and measured amplitudes.

IntensityMse

Mean squared error between predicted and measured intensities.

PoissonNegativeLogLikelihood

Mean Poisson negative log likelihood, omitting measurement-only constants.

HuberAmplitude

Huber loss on amplitude residuals with the implementation’s fixed unit transition.

Trait Implementations

impl Clone for LossType

fn clone(&self) -> LossType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LossType

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

Formats the value using the given formatter.

impl Default for LossType

fn default() -> LossType

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LossType

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LossType

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

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 LossType

impl Eq for LossType

impl StructuralPartialEq for LossType