Struct WeightOptimizationConfig 

pub struct WeightOptimizationConfig {
    pub learning_rate: f32,
    pub max_iterations: usize,
    pub slope_window: usize,
    pub stagnation_threshold: f32,
    pub use_llm_eval: bool,
    pub objective_weights: ObjectiveWeightsConfig,
}

Configuration for Graph Weight Optimization (Phase 3.2)

Fields

learning_rate: f32

Learning rate for weight adjustments (0.01-0.5)

max_iterations: usize

Maximum optimization iterations

slope_window: usize

Window size for slope calculation

stagnation_threshold: f32

Minimum slope to avoid stagnation

use_llm_eval: bool

Use LLM for quality evaluation

objective_weights: ObjectiveWeightsConfig

Objective weights (relevance, faithfulness, conciseness)

Trait Implementations

impl Clone for WeightOptimizationConfig

fn clone(&self) -> WeightOptimizationConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for WeightOptimizationConfig

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

Formats the value using the given formatter.

impl Default for WeightOptimizationConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for WeightOptimizationConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for WeightOptimizationConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.