Struct ThompsonSampling 

pub struct ThompsonSampling { /* private fields */ }

Thompson Sampling for routing strategy optimization

Uses Beta distributions to model success rates for each routing strategy per content type, automatically balancing exploration and exploitation

Implementations

impl ThompsonSampling

pub fn new() -> Self

Create a new Thompson Sampling instance

pub async fn select_strategy( &self, content_type: ContentType, ) -> Result<StrategyChoice>

Select optimal routing strategy for given content type

pub async fn update( &self, _content_type: ContentType, strategy: StrategyChoice, success: bool, latency_ms: u64, ) -> Result<()>

Update strategy performance based on outcome

pub async fn get_metrics(&self) -> RoutingMetrics

Get current performance metrics

pub async fn get_confidence_interval( &self, _content_type: ContentType, strategy: StrategyChoice, ) -> (f64, f64)

Get confidence interval for a strategy’s success rate

pub async fn reset_strategy( &self, _content_type: ContentType, strategy: StrategyChoice, )

Reset statistics for a specific strategy

Trait Implementations

impl Default for ThompsonSampling

fn default() -> Self

Returns the “default value” for a type.

impl LearningSystem for ThompsonSampling

fn select_strategy<'life0, 'life1, 'async_trait>( &'life0 self, context: &'life1 LearningContext, ) -> Pin<Box<dyn Future<Output = StrategyChoice> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Select optimal strategy based on context

fn update<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 mut self, context: &'life1 LearningContext, choice: &'life2 StrategyChoice, outcome: &'life3 Outcome, ) -> Pin<Box<dyn Future<Output = ()> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait,

Update learning model with outcome

fn metrics<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = LearningMetrics> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Get current model performance metrics