Struct AveragingEnsemble 

pub struct AveragingEnsemble<M: Model> { /* private fields */ }

Averaging ensemble for regression.

Combines predictions by averaging (simple or weighted).

Implementations

impl<M: Model> AveragingEnsemble<M>

pub fn new(models: Vec<M>) -> TrainResult<Self>

Create a new averaging ensemble.

Arguments

• models - Base models to ensemble

pub fn with_weights(self, weights: Vec<f64>) -> TrainResult<Self>

Set model weights for weighted averaging.

Arguments

• weights - Weight for each model

Trait Implementations

impl<M: Debug + Model> Debug for AveragingEnsemble<M>

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

Formats the value using the given formatter.

impl<M: Model> Ensemble for AveragingEnsemble<M>

fn predict(&self, input: &Array2<f64>) -> TrainResult<Array2<f64>>

Predict using the ensemble.

fn num_models(&self) -> usize

Get the number of models in the ensemble.