Struct TunerDataCollector 

pub struct TunerDataCollector { /* private fields */ }

Training data collector with online learning support (T-TUNER-005, GitHub #82)

Implementations

impl TunerDataCollector

pub fn record_feedback(&mut self, sample_index: usize, feedback: UserFeedback)

Record user feedback on a recommendation

pub fn get_feedback(&self, sample_index: usize) -> UserFeedback

Get feedback for a sample

pub fn record_prediction_error(&mut self, predicted: f32, actual: f32)

Record prediction error for concept drift detection

pub fn detect_concept_drift(&self) -> ConceptDriftStatus

Detect concept drift based on prediction error trends

pub fn should_retrain(&self) -> bool

Check if auto-retrain should trigger

pub fn mark_trained(&mut self)

Mark that training occurred (resets drift counters)

pub fn training_stats(&self) -> TrainingStats

Get training statistics

pub fn auto_retrain(&mut self, tuner: &mut BrickTuner) -> bool

Auto-retrain and update BrickTuner if conditions are met

impl TunerDataCollector

pub fn cache_path() -> PathBuf

Training data cache path

pub fn hardware_id() -> String

Generate hardware fingerprint for hardware-specific models

pub fn load_or_create() -> Self

Load from cache or create empty

pub fn save_apr<P: AsRef<Path>>(&self, path: P) -> Result<(), TunerError>

Save training data to APR format

pub fn load_apr<P: AsRef<Path>>(path: P) -> Result<Self, TunerError>

Load training data from APR format

pub fn record_and_persist( &mut self, profiler: &BrickProfiler, config: &RunConfig, kernel: KernelType, ) -> Result<(), TunerError>

Append a sample to the cached training data

pub fn from_json(json: &str) -> Result<Self, TunerError>

Import samples from JSON

pub fn bootstrap_from_five_whys() -> Self

Import samples from the Five-Whys archive (85 labeled iterations) Bootstrap initial training data from historical analysis

impl TunerDataCollector

pub const MIN_SAMPLES_FOR_TRAINING: usize = 1000

Minimum samples required before training triggers

pub fn new() -> Self

Create a new collector

pub fn with_online_learning() -> Self

Create a collector with online learning enabled

pub fn enable_online_learning(&mut self)

Enable online learning (privacy: explicit opt-in)

pub fn disable_online_learning(&mut self)

Disable online learning

pub fn is_online_learning_enabled(&self) -> bool

Check if online learning is enabled

pub fn record( &mut self, profiler: &BrickProfiler, config: &RunConfig, kernel: KernelType, ) -> Option<()>

Record a profiling run as training data

pub fn samples(&self) -> &[TrainingSample]

Get all samples

pub fn len(&self) -> usize

Get sample count

pub fn is_empty(&self) -> bool

Check if empty

pub fn to_json(&self) -> Result<String, TunerError>

Export to JSON

pub fn prepare_training_data(&self) -> Vec<(TunerFeatures, f32)>

Prepare training data for model

pub fn ready_to_train(&self) -> bool

Check if we have enough samples to train

pub fn train_if_ready(&self) -> Option<BrickTuner>

Train a BrickTuner from collected data if we have enough samples

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

Get training progress as (current, required)

pub fn merge(&mut self, other: &TunerDataCollector)

Merge samples from another collector

Trait Implementations

impl Debug for TunerDataCollector

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

Formats the value using the given formatter.

impl Default for TunerDataCollector

fn default() -> TunerDataCollector

Returns the “default value” for a type.