Struct AIOptimizerConfig 

pub struct AIOptimizerConfig {
    pub parameter_optimization_enabled: bool,
    pub reinforcement_learning_enabled: bool,
    pub auto_algorithm_selection_enabled: bool,
    pub structure_recognition_enabled: bool,
    pub quality_prediction_enabled: bool,
    pub learning_rate: f64,
    pub batch_size: usize,
    pub max_training_iterations: usize,
    pub convergence_threshold: f64,
    pub replay_buffer_size: usize,
}

Fields

parameter_optimization_enabled: bool

Enable parameter optimization

reinforcement_learning_enabled: bool

Enable reinforcement learning

auto_algorithm_selection_enabled: bool

Enable automated algorithm selection

structure_recognition_enabled: bool

Enable problem structure recognition

quality_prediction_enabled: bool

Enable solution quality prediction

learning_rate: f64

Learning rate for neural networks

batch_size: usize

Training batch size

max_training_iterations: usize

Maximum training iterations

convergence_threshold: f64

Convergence threshold

replay_buffer_size: usize

Experience replay buffer size

Trait Implementations

impl Clone for AIOptimizerConfig

fn clone(&self) -> AIOptimizerConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AIOptimizerConfig

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

Formats the value using the given formatter.

impl Default for AIOptimizerConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AIOptimizerConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for AIOptimizerConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.