Struct OptimizerConfig 

pub struct OptimizerConfig {
    pub learning_rate: f32,
    pub max_iterations: usize,
    pub slope_window: usize,
    pub stagnation_threshold: f32,
    pub objective_weights: ObjectiveWeights,
    pub use_llm_eval: bool,
}

Configuration for the optimizer

Fields

learning_rate: f32

Learning rate for weight adjustments (default: 0.1)

max_iterations: usize

Maximum number of optimization iterations (default: 20)

slope_window: usize

Window size for slope calculation (default: 3)

stagnation_threshold: f32

Minimum slope to avoid stagnation (default: 0.01)

objective_weights: ObjectiveWeights

Objective weights

use_llm_eval: bool

Use LLM for quality evaluation (default: true if Ollama available)

Trait Implementations

impl Clone for OptimizerConfig

fn clone(&self) -> OptimizerConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizerConfig

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

Formats the value using the given formatter.

impl Default for OptimizerConfig

fn default() -> Self

Returns the “default value” for a type.