Struct RelevanceObjective 

pub struct RelevanceObjective { /* private fields */ }

Combines recency and salience.

Implementations

impl RelevanceObjective

pub fn new( recency_half_life: f64, recency_weight: f64, salience_weight: f64, ) -> Self

Create a new relevance objective. Panics if either weight is negative or non-finite.

pub fn balanced(recency_half_life: f64) -> Self

Create with equal weights (0.5 each). Panics if recency_half_life is not positive and finite.

Trait Implementations

impl<T: HasTimestamp + HasSalience + Send + Sync> Objective<T> for RelevanceObjective

fn score(&self, candidate: &T, context: &ObjectiveContext) -> f64

Evaluate a single candidate.

fn name(&self) -> &str

Get the name of this objective.

fn precision(&self, _candidate: &T, _context: &ObjectiveContext) -> f64

Precision (inverse variance) of the score estimate; default 1.0 (fully trusted).

fn passes_score(&self, score: f64, context: &ObjectiveContext) -> bool

Check if a score passes the threshold; non-finite scores never pass.

fn passes(&self, candidate: &T, context: &ObjectiveContext) -> bool

Check if a candidate passes the threshold.

fn batch_score( &self, candidates: &[T], context: &ObjectiveContext, ) -> Vec<(usize, f64)>

Score a batch of candidates and return passing (index, score) pairs.

fn select<'a>( &self, candidates: &'a [T], context: &ObjectiveContext, ) -> Vec<Selection<&'a T>>

Select all passing candidates in score-descending order.

fn select_top<'a>( &self, candidates: &'a [T], n: usize, context: &ObjectiveContext, ) -> Vec<Selection<&'a T>>

Select the top N candidates by precision-weighted score.