Struct CandidateScoringPlan 

pub struct CandidateScoringPlan {
    pub features: Vec<CandidateFeature>,
    pub backfill: bool,
    pub model: Option<RankingModel>,
    pub export_passages: usize,
    pub all_passages: bool,
    pub seed_document_passages: bool,
    pub document_combiner: MultiValueCombiner,
}

Fields

features: Vec<CandidateFeature>

backfill: bool

Probe only cells missing from retrieval. False preserves missing values.

model: Option<RankingModel>

None exports raw features; Some ranks directly with this model.

export_passages: usize

Bounds only response feature rows; every candidate passage is scored before top passages are selected. This does not change indexed chunks.

all_passages: bool

Diagnostics may request every stored passage. Search normally scores only the union of nominated passage ordinals, plus document context.

seed_document_passages: bool

Score real body ordinals only when a candidate has no nominated passage.

document_combiner: MultiValueCombiner

Reduce all final passage predictions before export truncation/top-K.

Implementations

impl CandidateScoringPlan

pub fn validate(&self, schema: &Schema) -> Result<()>

Trait Implementations

impl Clone for CandidateScoringPlan

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 CandidateScoringPlan

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

Formats the value using the given formatter.