Struct L1Regularization 

pub struct L1Regularization {
    pub alpha: Float,
}

L1 (Lasso) regularization: α * ||w||₁

Fields

alpha: Float

Regularization strength

Implementations

impl L1Regularization

pub fn new(alpha: Float) -> Result<Self>

Create a new L1 regularization with the specified 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 Regularization for L1Regularization

fn penalty(&self, coefficients: &Array1<Float>) -> Result<Float>

Compute the regularization penalty value

fn penalty_gradient( &self, coefficients: &Array1<Float>, ) -> Result<Array1<Float>>

Compute the regularization gradient (subgradient for non-smooth penalties)

fn proximal_operator( &self, coefficients: &Array1<Float>, step_size: Float, ) -> Result<Array1<Float>>

Apply the proximal operator (for proximal gradient methods)

fn is_non_smooth(&self) -> bool

Check if this regularization is non-smooth (requires proximal methods)

fn strength(&self) -> Float

Get the regularization strength

fn name(&self) -> &'static str

Get the name of this regularization