Enum omikuji::model::liblinear::LossType

pub enum LossType {
    Log,
    Hinge,
}

The loss function used by liblinear model.

Variants

Log

Log loss: min_w w^Tw/2 + C \sum log(1 + exp(-y_i w^Tx_i))

Hinge

Squared hinge loss: min_w w^Tw/2 + C \sum max(0, 1- y_i w^Tx_i)^2

Trait Implementations

impl Clone for LossType

fn clone(&self) -> LossType

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for LossType

impl Debug for LossType

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for LossType

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Eq for LossType

impl PartialEq<LossType> for LossType

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

This method tests for self and other values to be equal, and is used by ==.

#[must_use] fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl Serialize for LossType

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralEq for LossType

impl StructuralPartialEq for LossType