Enum EnsembleStrategy 

pub enum EnsembleStrategy {
    Voting,
    WeightedAverage,
    Stacking,
}

Aggregation strategy for combining model embeddings.

Variants

Voting

Element-wise mean over all model outputs.

WeightedAverage

Weighted element-wise mean. Weights must be supplied via EnsembleEmbedder::set_weights; default is uniform.

Stacking

Two-layer meta-learner trained on concatenated model outputs. Requires calling EnsembleEmbedder::fit_stacking before inference.

Trait Implementations

impl Clone for EnsembleStrategy

fn clone(&self) -> EnsembleStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EnsembleStrategy

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for EnsembleStrategy

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for EnsembleStrategy

fn eq(&self, other: &EnsembleStrategy) -> 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 Serialize for EnsembleStrategy

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for EnsembleStrategy