Enum OGDLoss 

pub enum OGDLoss {
    Squared,
    Hinge,
    Logistic,
}

Loss function for OnlineGradientDescent.

Variants

Squared

Squared loss: ℓ = ½(pred − y)². Gradient: (pred − y)·x.

Hinge

Hinge loss: ℓ = max(0, 1 − y·score). Gradient: −y·x when margin < 1.

Logistic

Logistic loss: ℓ = log(1 + exp(−y·score)). Gradient: −y·σ(−y·score)·x.

Trait Implementations

impl Clone for OGDLoss

fn clone(&self) -> OGDLoss

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OGDLoss

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

Formats the value using the given formatter.

impl PartialEq for OGDLoss

fn eq(&self, other: &OGDLoss) -> 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 OGDLoss

impl Eq for OGDLoss

impl StructuralPartialEq for OGDLoss