Struct RankedOption 

pub struct RankedOption {
    pub name: String,
    pub score_interval: [f64; 2],
    pub evidence_interval: [f64; 2],
    pub raw_score: f64,
    pub confidence_adjusted_score: f64,
    pub evidence_confidence: f64,
    pub coverage: f64,
    pub reversible: bool,
    pub blocked: bool,
    pub hard_blocks: Vec<String>,
    pub missing_criteria: Vec<String>,
    pub model_estimated_criteria: Vec<String>,
}

Fields

name: String

score_interval: [f64; 2]

[lo, hi]: the weighted score with every unscored criterion at 0 and at 1.

evidence_interval: [f64; 2]

[lo, hi] over evidence alone: model-estimated criteria are unknown here, like unscored ones. decisive is computed from this interval, so an engine guess can reorder options but can never make a result look settled.

raw_score: f64

confidence_adjusted_score: f64

evidence_confidence: f64

evidence_confidence × coverage.

coverage: f64

reversible: bool

blocked: bool

hard_blocks: Vec<String>

missing_criteria: Vec<String>

model_estimated_criteria: Vec<String>

Trait Implementations

impl Clone for RankedOption

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RankedOption

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RankedOption

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for RankedOption

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

where __S: Serializer,

Serialize this value into the given Serde serializer.