Enum rusty_machine::learning::toolkit::regularization::Regularization

pub enum Regularization<T: Float> {
    L1(T),
    L2(T),
    ElasticNet(T, T),
    None,
}

Model Regularization

Variants

L1(T)

L1 Regularization

L2(T)

L2 Regularization

ElasticNet(T, T)

Elastic Net Regularization (L1 and L2)

None

No Regularization

Methods

impl<T: Float + FromPrimitive> Regularization<T>

fn reg_cost(&self, mat: MatrixSlice<T>) -> T

Compute the regularization addition to the cost.

fn reg_grad(&self, mat: MatrixSlice<T>) -> Matrix<T>

Compute the regularization addition to the gradient.

Trait Implementations

impl<T: Debug + Float> Debug for Regularization<T>

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl<T: Clone + Float> Clone for Regularization<T>

fn clone(&self) -> Regularization<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Copy + Float> Copy for Regularization<T>