Enum MLStrategy 

pub enum MLStrategy {
    ReinforcementLearning {
        learning_rate: f64,
        discount_factor: f64,
        exploration_rate: f64,
        episodes: usize,
    },
    NeuralNetwork {
        architecture: Vec<usize>,
        learning_rate: f64,
        epochs: usize,
        batch_size: usize,
    },
    GeneticAlgorithm {
        population_size: usize,
        generations: usize,
        mutation_rate: f64,
        selection_pressure: f64,
    },
    BayesianOptimization {
        initial_samples: usize,
        iterations: usize,
        acquisition: AcquisitionFunction,
    },
}

ML optimization strategy

Variants

ReinforcementLearning

Reinforcement learning for gate scheduling

Fields

learning_rate: f64

Q-learning parameters

discount_factor: f64

exploration_rate: f64

episodes: usize

Number of training episodes

NeuralNetwork

Neural network for pattern recognition

Fields

architecture: Vec<usize>

Network architecture (layer sizes)

learning_rate: f64

Learning rate

epochs: usize

Number of training epochs

batch_size: usize

Batch size

GeneticAlgorithm

Genetic algorithm for optimization

Fields

population_size: usize

Population size

generations: usize

Number of generations

mutation_rate: f64

Mutation rate

selection_pressure: f64

Selection pressure

BayesianOptimization

Bayesian optimization for hyperparameter tuning

Fields

initial_samples: usize

Number of initial random samples

iterations: usize

Number of optimization iterations

acquisition: AcquisitionFunction

Acquisition function

Trait Implementations

impl Clone for MLStrategy

fn clone(&self) -> MLStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MLStrategy

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MLStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for MLStrategy

fn eq(&self, other: &MLStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for MLStrategy

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for MLStrategy