Module learned_optimizers 

Learned Optimizers Module

This module implements optimization algorithms that learn to optimize, including:

• Meta-learning based optimizers that adapt to different problem types
• Neural Architecture Search (NAS) systems
• Transformer-based optimization enhancements
• Few-shot learning for optimization
• Adaptive neural optimizers
• Learned hyperparameter tuning systems

Re-exports

pub use adaptive_nas_system::*;

pub use adaptive_transformer_enhancement::*;

pub use few_shot_learning_enhancement::*;

pub use learned_hyperparameter_tuner::*;

pub use meta_learning_optimizer::*;

pub use neural_adaptive_optimizer::*;

Modules

adaptive_nas_system

Adaptive Neural Architecture Search (NAS) System for Optimization

adaptive_transformer_enhancement

Adaptive Transformer Enhancement for Optimization

few_shot_learning_enhancement

Few-Shot Learning Enhancement for Optimization

learned_hyperparameter_tuner

Learned Hyperparameter Tuner

meta_learning_optimizer

Meta-Learning Optimizer

neural_adaptive_optimizer

Neural Adaptive Optimizer

Structs

AdaptationStatistics

Statistics for tracking adaptation

LayerNorm

Layer normalization parameters

LearnedOptimizationConfig

Configuration for learned optimizers

MetaOptimizerState

Meta-optimizer state

OptimizationNetwork

Neural network for learned optimization

OptimizationProblem

Meta-learning problem specification

ProblemEncoder

Problem encoder for creating embeddings

TrainingTask

Training task for meta-learning

Enums

ActivationType

Types of activation functions

ParameterDistribution

Parameter distribution for initialization

Traits

LearnedOptimizer

Trait for learned optimizers

Functions

learned_optimize

Convenience function for learned optimization

placeholder