Struct MetaLearningOptimizer 

pub struct MetaLearningOptimizer {
    pub total_optimizations: usize,
    pub average_success_rate: f64,
    /* private fields */
}

Meta-learning optimizer that learns from optimization history

Fields

total_optimizations: usize

Statistics

average_success_rate: f64

Implementations

impl MetaLearningOptimizer

pub fn new(max_history: usize, seed: u64) -> Self

Create new meta-learning optimizer

pub fn extract_features(&self, model: &IsingModel) -> ProblemFeatures

Extract features from Ising model

pub fn select_strategy(&mut self, model: &IsingModel) -> OptimizationStrategy

Select best strategy for problem

pub fn record_optimization(&mut self, record: OptimizationRecord)

Record optimization result

pub fn recommend_strategies( &mut self, model: &IsingModel, top_k: usize, ) -> Vec<(OptimizationStrategy, PredictedPerformance)>

Get recommended strategies for problem

pub fn get_statistics(&self) -> MetaLearningStatistics

Get optimization statistics

Trait Implementations

impl Debug for MetaLearningOptimizer

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

Formats the value using the given formatter.