Struct ActiveLearner 

pub struct ActiveLearner { /* private fields */ }

Active learner using Thompson Sampling on clusters

Implementations

impl ActiveLearner

pub fn new(k: usize) -> Self

Create active learner with k clusters

pub fn with_embedder(self, embedder: CodeEmbedder) -> Self

Create with custom embedder

pub fn with_exploration_rate(self, rate: f64) -> Self

Set exploration rate

pub fn fit(&mut self, codes: &[&str])

Fit clusters on code samples

pub fn get_cluster(&self, code: &str) -> Option<usize>

Get cluster for a code sample

pub fn sample_cluster(&self) -> Option<usize>

Sample cluster using Thompson Sampling

Returns cluster ID with high expected value (exploration vs exploitation)

Panics

Panics if Beta distribution creation fails with default parameters (1.0, 1.0), which should never happen for valid alpha/beta values.

pub fn select_batch(&self, codes: &[&str], batch_size: usize) -> Vec<usize>

Select samples for next batch using Thompson Sampling

Returns indices of codes to sample next

pub fn update_feedback(&mut self, code: &str, revealed_bug: bool)

Update with oracle feedback

Arguments

• code - The code that was verified
• revealed_bug - True if verification revealed a bug

pub fn silhouette_score(&self) -> f32

Get current silhouette score

pub fn cluster_stats(&self) -> Vec<ClusterStats>

Get cluster statistics

pub fn should_explore(&self) -> bool

Check if exploration should be prioritized

pub fn total_samples(&self) -> usize

Get total samples processed

Trait Implementations

impl Debug for ActiveLearner

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

Formats the value using the given formatter.

impl Default for ActiveLearner

fn default() -> Self

Returns the “default value” for a type.