Enum HistClassificationLoss 

pub enum HistClassificationLoss {
    LogLoss,
}

Loss function for histogram-based gradient boosting classification.

Variants

LogLoss

Log-loss (logistic / cross-entropy) for binary and multiclass.

Trait Implementations

impl Clone for HistClassificationLoss

fn clone(&self) -> HistClassificationLoss

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HistClassificationLoss

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for HistClassificationLoss

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for HistClassificationLoss

fn eq(&self, other: &HistClassificationLoss) -> 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 Serialize for HistClassificationLoss

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for HistClassificationLoss

impl Eq for HistClassificationLoss

impl StructuralPartialEq for HistClassificationLoss