Struct HyperParameters 

pub struct HyperParameters {
    pub learning_rate: f64,
    pub n_estimators: usize,
    pub max_depth: Option<usize>,
    pub regularization: f64,
    pub n_neighbors: usize,
    pub batch_size: usize,
    pub random_seed: u64,
}

Hyperparameter configuration

Fields

learning_rate: f64

Learning rate

n_estimators: usize

Number of estimators (trees, epochs, etc.)

max_depth: Option<usize>

Maximum depth (for tree-based models)

regularization: f64

Regularization strength

n_neighbors: usize

Number of neighbors (for KNN)

batch_size: usize

Batch size (for neural networks)

random_seed: u64

Random seed

Trait Implementations

impl Clone for HyperParameters

fn clone(&self) -> HyperParameters

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HyperParameters

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

Formats the value using the given formatter.

impl Default for HyperParameters

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for HyperParameters

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for HyperParameters

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

where __S: Serializer,

Serialize this value into the given Serde serializer.