Struct DistributionMetrics 

pub struct DistributionMetrics {
    pub kl_nats: f64,
    pub reference_entropy_nats: f64,
    pub target_nll_delta_nats: Option<f64>,
    pub centered_logit_rmse: f64,
    pub top1_agreement: bool,
    pub top_k_overlap: f64,
}

Metrics comparing one candidate categorical distribution with a reference.

Fields

kl_nats: f64

KL(reference || candidate), in nats.

reference_entropy_nats: f64

Entropy of the reference distribution, in nats.

target_nll_delta_nats: Option<f64>

Candidate minus reference negative log likelihood for an optional target.

centered_logit_rmse: f64

RMSE after removing the mean logit from each side.

top1_agreement: bool

Whether top-1 indices agree.

top_k_overlap: f64

Fractional overlap between the selected leading sets.

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<'de> Deserialize<'de> for DistributionMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DistributionMetrics

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

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for DistributionMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DistributionMetrics