Enum ReweightingStrategy 

pub enum ReweightingStrategy {
    Uniform,
    InverseLoss {
        epsilon: f64,
    },
    Focal {
        gamma: f64,
    },
    GradientNorm {
        epsilon: f64,
    },
}

Strategy for reweighting samples.

Variants

Uniform

Uniform weights (no reweighting)

InverseLoss

Inverse loss weighting

Fields

epsilon: f64

Focal

Focal loss weighting

Fields

gamma: f64

GradientNorm

Gradient norm based

Fields

epsilon: f64

Trait Implementations

impl Clone for ReweightingStrategy

fn clone(&self) -> ReweightingStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ReweightingStrategy

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ReweightingStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ReweightingStrategy

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.