Struct FewShotLearningOptimizer 

pub struct FewShotLearningOptimizer { /* private fields */ }

Few-Shot Learning Optimizer with Rapid Adaptation

Implementations

impl FewShotLearningOptimizer

pub fn new(config: LearnedOptimizationConfig) -> Self

Create new few-shot learning optimizer

pub fn few_shot_adapt( &mut self, support_examples: &[SupportExample], target_problem: &OptimizationProblem, ) -> OptimizeResult<()>

Perform few-shot adaptation to new problem

pub fn generate_optimization_strategy( &self, problem: &OptimizationProblem, ) -> OptimizeResult<OptimizationStrategy>

Generate optimization strategy from few-shot adaptation

pub fn get_adaptation_stats(&self) -> &FewShotAdaptationStats

Get adaptation statistics

pub fn add_experience( &mut self, problem: &OptimizationProblem, trajectory: OptimizationTrajectory, )

Add experience to memory

Trait Implementations

impl Clone for FewShotLearningOptimizer

fn clone(&self) -> FewShotLearningOptimizer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FewShotLearningOptimizer

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

Formats the value using the given formatter.

impl LearnedOptimizer for FewShotLearningOptimizer

fn meta_train(&mut self, training_tasks: &[TrainingTask]) -> OptimizeResult<()>

Meta-train the optimizer on a distribution of problems

fn adapt_to_problem( &mut self, problem: &OptimizationProblem, initial_params: &ArrayView1<'_, f64>, ) -> OptimizeResult<()>

Adapt to a new problem with few-shot learning

fn optimize<F>( &mut self, objective: F, initial_params: &ArrayView1<'_, f64>, ) -> OptimizeResult<OptimizeResults<f64>>

where F: Fn(&ArrayView1<'_, f64>) -> f64,

Optimize a function using learned knowledge

fn get_state(&self) -> &MetaOptimizerState

Get current meta-optimizer state

fn reset(&mut self)

Reset the optimizer