Enum BoostingType 

pub enum BoostingType {
    GradientBoosting,
    StochasticGradientBoosting,
}

Enumeration of supported gradient boosting algorithms.

This enum defines the variants of gradient boosting implemented in the library. Each variant has different training characteristics and regularization strategies.

Variants

• GradientBoosting: Standard algorithm using full dataset at each iteration
• StochasticGradientBoosting: Uses subsampling for variance reduction

Regularization

StochasticGradientBoosting provides additional regularization through:

• Row subsampling (bagging)
• Column subsampling (feature sampling)
• Typically results in better generalization and faster training

Variants

GradientBoosting

StochasticGradientBoosting

Trait Implementations

impl Clone for BoostingType

fn clone(&self) -> BoostingType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BoostingType

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

Formats the value using the given formatter.

impl Display for BoostingType

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

Formats the BoostingType as a string for display purposes.

This is primarily used for logging, debugging, and serialization.

impl PartialEq for BoostingType

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

impl StructuralPartialEq for BoostingType