Struct L2Regularization 

pub struct L2Regularization {
    pub lambda: f64,
}

L2 regularization (Ridge / Weight Decay).

Adds penalty proportional to the square of weights: λ * Σw² Prevents weights from becoming too large.

Fields

lambda: f64

Regularization strength (lambda).

Implementations

impl L2Regularization

pub fn new(lambda: f64) -> Self

Create a new L2 regularizer.

Arguments

• lambda - Regularization strength

Trait Implementations

impl Clone for L2Regularization

fn clone(&self) -> L2Regularization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for L2Regularization

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

Formats the value using the given formatter.

impl Default for L2Regularization

fn default() -> Self

Returns the “default value” for a type.

impl Regularizer for L2Regularization

fn compute_penalty( &self, parameters: &HashMap<String, Array<f64, Ix2>>, ) -> TrainResult<f64>

Compute the regularization penalty for given parameters.

fn compute_gradient( &self, parameters: &HashMap<String, Array<f64, Ix2>>, ) -> TrainResult<HashMap<String, Array<f64, Ix2>>>

Compute the gradient of the regularization penalty.