Struct BaggingConfig 

pub struct BaggingConfig {

    pub n_estimators: usize,
    pub max_samples: Option<usize>,
    pub max_features: Option<usize>,
    pub bootstrap: bool,
    pub bootstrap_features: bool,
    pub random_state: Option<u64>,
    pub oob_score: bool,
    pub n_jobs: Option<i32>,
    pub max_depth: Option<usize>,
    pub min_samples_split: usize,
    pub min_samples_leaf: usize,
    pub confidence_level: Float,
    pub extra_randomized: bool,
}

Configuration for bagging ensemble

Fields

n_estimators: usize

Number of base estimators in the ensemble

max_samples: Option<usize>

Number of samples to draw from X to train each base estimator

max_features: Option<usize>

Number of features to draw from X to train each base estimator

bootstrap: bool

Whether to use replacement when sampling

bootstrap_features: bool

Whether to use replacement when sampling features

random_state: Option<u64>

Random state for reproducible results

oob_score: bool

Out-of-bag score calculation

n_jobs: Option<i32>

Number of jobs for parallel execution

max_depth: Option<usize>

Maximum depth for decision tree base estimators

min_samples_split: usize

Minimum samples required to split an internal node

min_samples_leaf: usize

Minimum samples required to be at a leaf node

confidence_level: Float

Bootstrap confidence level for intervals

extra_randomized: bool

Use extra randomization (Extremely Randomized Trees)

Trait Implementations

impl Clone for BaggingConfig

fn clone(&self) -> BaggingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BaggingConfig

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

Formats the value using the given formatter.

impl Default for BaggingConfig

fn default() -> Self

Returns the “default value” for a type.