Struct ModelSelector 

pub struct ModelSelector { /* private fields */ }

Main model selector that evaluates and ranks models

Implementations

impl ModelSelector

pub fn new() -> Self

Creates a new model selector

pub fn add_metric( &mut self, name: &str, weight: f64, higher_isbetter: bool, ) -> &mut Self

Adds a metric to the selection criteria

pub fn with_aggregation(&mut self, strategy: AggregationStrategy) -> &mut Self

Sets the aggregation strategy

pub fn add_threshold(&mut self, metricname: &str, threshold: f64) -> &mut Self

Adds a threshold for a specific metric

pub fn select_best( &self, modelscores: &HashMap<String, Vec<(&str, f64)>>, ) -> Result<String>

Selects the best model from a set of candidates

pub fn rank_models( &self, modelscores: &HashMap<String, Vec<(&str, f64)>>, ) -> Result<Vec<(String, f64)>>

Ranks all models and returns them sorted by score (descending)

pub fn find_pareto_optimal( &self, modelscores: &HashMap<String, Vec<(&str, f64)>>, ) -> Vec<String>

Finds Pareto optimal models (not dominated by any other model)

Trait Implementations

impl Default for ModelSelector

fn default() -> Self

Returns the “default value” for a type.