Struct WeightedObjective 

pub struct WeightedObjective<T> { /* private fields */ }

Weighted combination of multiple objectives.

The final score is: sum(weight_i * score_i) / sum(weight_i). Invalid weights (non-finite, zero, or negative) and non-finite scores are skipped.

Implementations

impl<T> WeightedObjective<T>

pub fn new() -> Self

Create a new weighted objective

pub fn add(self, objective: Box<dyn Objective<T>>, weight: f64) -> Self

Add an objective with a weight

Trait Implementations

impl<T> Default for WeightedObjective<T>

fn default() -> Self

Returns the “default value” for a type.

impl<T: Send + Sync> Objective<T> for WeightedObjective<T>

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) estimate for the score of a candidate.

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

Check if a score passes the threshold.

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 the passing (index, score) pairs.

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

Select the best candidate from a list.

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

Select the top N candidates.