Struct TrainingDynamicsAnalyzer 

pub struct TrainingDynamicsAnalyzer { /* private fields */ }

Training dynamics analyzer for monitoring and analyzing training behavior.

Implementations

impl TrainingDynamicsAnalyzer

pub fn new() -> Self

Create a new training dynamics analyzer.

pub fn with_config(config: TrainingAnalysisConfig) -> Self

Create a new analyzer with custom configuration.

pub fn add_metrics(&mut self, metrics: ModelPerformanceMetrics)

Add new training metrics for analysis.

pub fn record_training_dynamics(&mut self, _dynamics: TrainingDynamics)

Record training dynamics information.

pub fn analyze_training_dynamics(&self) -> TrainingDynamics

Analyze current training dynamics.

pub fn detect_convergence_status(&self) -> ConvergenceStatus

Detect current convergence status.

pub fn assess_training_stability(&self) -> TrainingStability

Assess training stability.

pub fn calculate_learning_efficiency(&self) -> f64

Calculate learning efficiency score.

pub fn detect_overfitting_indicators(&self) -> Vec<OverfittingIndicator>

Detect overfitting indicators.

pub fn detect_underfitting_indicators(&self) -> Vec<UnderfittingIndicator>

Detect underfitting indicators.

pub fn detect_plateau(&self) -> Option<PlateauInfo>

Detect plateau in training.

pub fn generate_training_recommendations(&self) -> Vec<TrainingRecommendation>

Generate training recommendations based on current dynamics.

pub fn clear(&mut self)

Clear analysis history.

pub fn get_training_state(&self) -> &TrainingState

Get current training state information.

pub async fn generate_report(&self) -> Result<TrainingDynamicsReport>

Generate comprehensive training dynamics report.

Trait Implementations

impl Debug for TrainingDynamicsAnalyzer

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

Formats the value using the given formatter.

impl Default for TrainingDynamicsAnalyzer

fn default() -> Self

Returns the “default value” for a type.