Enum OlLossFunction 

pub enum OlLossFunction {
    Hinge,
    SquaredHinge,
    LogLoss,
}

Loss function used for computing per-sample losses and SGD gradients.

Variants

Hinge

max(0, 1 − label · score)

SquaredHinge

max(0, 1 − label · score)²

LogLoss

ln(1 + exp(−label · score)) — numerically stable via log-sum-exp.

Trait Implementations

impl Clone for OlLossFunction

fn clone(&self) -> OlLossFunction

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for OlLossFunction

impl Debug for OlLossFunction

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

Formats the value using the given formatter.

impl Display for OlLossFunction

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

Formats the value using the given formatter.

impl Eq for OlLossFunction

impl PartialEq for OlLossFunction

fn eq(&self, other: &OlLossFunction) -> 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 StructuralPartialEq for OlLossFunction