Struct ModelManager 

pub struct ModelManager { /* private fields */ }

Model manager for ML predictor lifecycle

Implementations

impl ModelManager

pub fn new(predictor: MLPredictor, config: ManagerConfig) -> Self

Create a new model manager

pub fn with_training_collector( self, collector: Arc<RwLock<TrainingCollector>>, ) -> Self

Create model manager with training collector

pub fn get_predictor(&self) -> Arc<RwLock<MLPredictor>>

Get the active model

pub fn record_prediction(&self, predicted: f64, actual: f64) -> Result<()>

Record a prediction result

pub fn evaluate_model_quality(&self) -> Result<ModelQuality>

Evaluate current model quality

pub fn should_use_ml(&self) -> bool

Check if ML model should be used

pub fn should_retrain(&self) -> bool

Check if model should be retrained

pub fn trigger_retraining(&mut self) -> Result<()>

Trigger model retraining

pub fn rollback_to_previous(&mut self) -> Result<()>

Rollback to previous model

pub fn save_checkpoint(&self, path: &Path) -> Result<()>

Save model checkpoint

pub fn load_checkpoint(path: &Path, config: ManagerConfig) -> Result<Self>

Load model from checkpoint

pub fn get_performance_metrics(&self) -> Result<PerformanceMetrics>

Get performance metrics