Struct BaggingPredictor 

pub struct BaggingPredictor { /* private fields */ }

Bagging utility for creating bagged ensemble predictions

Implementations

impl BaggingPredictor

pub fn new(aggregation: AggregationStrategy) -> Self

Create a new bagging predictor

pub fn aggregate_regression( &self, predictions: &Array2<f64>, weights: Option<&Array1<f64>>, ) -> UtilsResult<Array1<f64>>

Aggregate regression predictions

Arguments

• predictions - Matrix of predictions (n_samples × n_estimators)
• weights - Optional weights for weighted averaging

Returns

Aggregated predictions for each sample

pub fn aggregate_classification( &self, predictions: &Array2<usize>, ) -> UtilsResult<Array1<usize>>

Aggregate classification predictions (voting)

Arguments

• predictions - Matrix of class predictions (n_samples × n_estimators)

Returns

Predicted class for each sample (majority vote)

pub fn aggregate_probabilities( &self, probabilities: &[Array2<f64>], ) -> UtilsResult<Array2<f64>>

Aggregate classification probabilities (soft voting)

Arguments

• probabilities - Array of probability matrices from each estimator Vec<Array2> where each Array2 is (n_samples × n_classes)

Returns

Averaged probability matrix (n_samples × n_classes)

Trait Implementations

impl Clone for BaggingPredictor

fn clone(&self) -> BaggingPredictor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BaggingPredictor

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

Formats the value using the given formatter.

impl Default for BaggingPredictor

fn default() -> Self

Returns the “default value” for a type.