Struct L1Regularization 

pub struct L1Regularization {
    pub lambda: f64,
}

L1 regularization (Lasso).

Adds penalty proportional to the absolute value of weights: λ * Σ|w| Encourages sparsity by driving some weights to exactly zero.

Fields

lambda: f64

Regularization strength (lambda).

Implementations

impl L1Regularization

pub fn new(lambda: f64) -> Self

Create a new L1 regularizer.

Arguments

• lambda - Regularization strength

Trait Implementations

impl Clone for L1Regularization

fn clone(&self) -> L1Regularization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for L1Regularization

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

Formats the value using the given formatter.

impl Default for L1Regularization

fn default() -> Self

Returns the “default value” for a type.

impl Regularizer for L1Regularization

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.