Enum AdaBoostAlgorithm 

pub enum AdaBoostAlgorithm {
    SAMME,
    SAMMER,
    Gentle,
    Discrete,
    RealAdaBoost,
    M1,
    M2,
}

AdaBoost algorithm variants

Variants

SAMME

SAMME (Stagewise Additive Modeling using a Multi-class Exponential loss function)

SAMMER

SAMME.R (SAMME with Real-valued predictions)

Gentle

Gentle AdaBoost

Discrete

Discrete AdaBoost

RealAdaBoost

Real AdaBoost

M1

AdaBoost.M1 for multiclass

M2

AdaBoost.M2 for multiclass

Trait Implementations

impl Clone for AdaBoostAlgorithm

fn clone(&self) -> AdaBoostAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdaBoostAlgorithm

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

Formats the value using the given formatter.

impl PartialEq for AdaBoostAlgorithm

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

impl Eq for AdaBoostAlgorithm

impl StructuralPartialEq for AdaBoostAlgorithm