Enum EnsembleCombinationStrategy 

pub enum EnsembleCombinationStrategy {
    Mean,
    WeightedMean,
    Median,
    BestMethod,
    MinimumVariance,
    BayesianAveraging,
    Voting,
    Stacking,
}

Ensemble combination strategies for multiple extrapolation methods

Variants

Mean

Simple arithmetic mean of all method predictions

WeightedMean

Weighted average based on confidence scores

Median

Use median of all predictions (robust to outliers)

BestMethod

Use method with highest confidence for local region

MinimumVariance

Weighted combination optimized for minimum variance

BayesianAveraging

Bayesian model averaging

Voting

Use methods voted by majority (discrete classification)

Stacking

Stack multiple methods using a meta-learner

Trait Implementations

impl Clone for EnsembleCombinationStrategy

fn clone(&self) -> EnsembleCombinationStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EnsembleCombinationStrategy

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

Formats the value using the given formatter.

impl PartialEq for EnsembleCombinationStrategy

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

impl StructuralPartialEq for EnsembleCombinationStrategy