Struct ConformalPredictionSet 

pub struct ConformalPredictionSet {
    pub quantile_threshold: f64,
    pub current_score: f64,
    pub bayesian_action_in_set: bool,
    pub admissible_actions: Vec<DecisionAction>,
    pub empirical_coverage: f64,
}

Conformal prediction set: which actions are admissible at significance level alpha.

Fields

quantile_threshold: f64

The conformal quantile threshold at significance level alpha.

current_score: f64

The nonconformity score of the current decision.

bayesian_action_in_set: bool

Whether the Bayesian argmin action is inside the conformal set.

admissible_actions: Vec<DecisionAction>

Actions that are admissible (score <= threshold).

empirical_coverage: f64

Empirical coverage rate over the calibration window.

Trait Implementations

impl Clone for ConformalPredictionSet

fn clone(&self) -> ConformalPredictionSet

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConformalPredictionSet

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ConformalPredictionSet

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ConformalPredictionSet

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

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 ConformalPredictionSet