Enum Regularization 

pub enum Regularization {
    L1,
    L2,
    ElasticNet {
        l1_ratio: f64,
    },
}

Available on crate feature train only.

L1- or L2- regularization settings

Variants

L1

Performs L1-regularization.

L2

Performs L2-regularization.

ElasticNet

Performs Elastic Net regularization (L1 + L2 combination). The parameter l1_ratio controls the mix: 1.0 = pure L1, 0.0 = pure L2. L1 penalty = lambda * l1_ratio, L2 penalty = lambda * (1 - l1_ratio).

Fields

l1_ratio: f64

Ratio of L1 vs L2 penalty (0.0 to 1.0).

Trait Implementations

impl Clone for Regularization

fn clone(&self) -> Regularization

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl PartialEq for Regularization

fn eq(&self, other: &Regularization) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for Regularization

impl StructuralPartialEq for Regularization