Struct GroupLassoRegularization 

pub struct GroupLassoRegularization {
    pub alpha: Float,
    pub groups: Vec<usize>,
}

Group Lasso regularization for grouped features

Fields

alpha: Float

Regularization strength

groups: Vec<usize>

Group assignment for each feature (group_id for each coefficient)

Implementations

impl GroupLassoRegularization

pub fn new(alpha: Float, groups: Vec<usize>) -> Result<Self>

Create a new Group Lasso regularization

Trait Implementations

impl Clone for GroupLassoRegularization

fn clone(&self) -> GroupLassoRegularization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GroupLassoRegularization

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

Formats the value using the given formatter.

impl Regularization for GroupLassoRegularization

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