Struct OnlineLearningSystem 

pub struct OnlineLearningSystem {
    pub memory: HDCMemory,
    pub continual_memory: ContinualLearningMemory,
    pub performance_tracker: PerformanceTracker,
    pub adaptation_params: AdaptationParameters,
    pub learning_state: LearningState,
}

Online Learning System with adaptive capabilities

Fields

memory: HDCMemory

Core memory system

continual_memory: ContinualLearningMemory

Continual learning memory

performance_tracker: PerformanceTracker

Performance tracker

adaptation_params: AdaptationParameters

Adaptation parameters

learning_state: LearningState

Current learning state

Implementations

impl OnlineLearningSystem

pub fn new(config: &HDCConfig) -> Self

Create a new online learning system

pub fn predict(&self, input: &Hypervector) -> NdimageResult<PredictionResult>

Make a prediction

Arguments

• input - Input hypervector to classify

Returns

Prediction result with confidence and alternatives

pub fn update_with_feedback( &mut self, input: &Hypervector, correct_label: &str, learning_rate: f64, prediction_error: f64, ) -> NdimageResult<UpdateResult>

Update the system with feedback

Arguments

• input - Input hypervector
• correct_label - Correct label for the input
• learning_rate - Learning rate for this update
• prediction_error - Error in the prediction

Returns

Update result information

pub fn online_learning_step( &mut self, input: &Hypervector, true_label: Option<&str>, ) -> NdimageResult<OnlineLearningResult>

Perform a complete online learning step

Arguments

• input - Input hypervector
• true_label - True label (if available for supervised learning)

Returns

Complete learning result

pub fn get_performancemetrics(&self) -> PerformanceMetrics

Get current performance metrics

pub fn perform_maintenance_cycle( &mut self, _config: &HDCConfig, ) -> NdimageResult<()>

Perform maintenance cycle (cleanup, consolidation, etc.)

pub fn get_learning_state(&self) -> &LearningState

Get the current learning state

pub fn get_memory_stats(&self) -> (usize, (usize, usize, usize))

Get memory statistics

pub fn compute_adaptive_learning_rate(&self, prediction_error: f64) -> f64

Compute adaptive learning rate based on prediction error

pub fn unsupervised_update( &mut self, input: &Hypervector, ) -> NdimageResult<UpdateResult>

Perform unsupervised update

pub fn get_performance_metrics(&self) -> PerformanceMetrics

Get performance metrics (renamed method)

pub fn get_current_adaptation_rate(&self) -> f64

Get current adaptation rate

Trait Implementations

impl Clone for OnlineLearningSystem

fn clone(&self) -> OnlineLearningSystem

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OnlineLearningSystem

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

Formats the value using the given formatter.