Enum SadDetectionMethod 

pub enum SadDetectionMethod {
    CentroidDistance,
    MahalanobisApprox,
    LocalOutlierFactor,
    IsolationForest,
    EnsembleVote,
}

Detection algorithm used to score a candidate embedding.

Variants

CentroidDistance

Distance from corpus centroid normalised by sigma.

MahalanobisApprox

Diagonal Mahalanobis approximation (per-dimension variance).

LocalOutlierFactor

k-NN local outlier factor (cosine distance).

IsolationForest

Average isolation depth via random recursive splits.

EnsembleVote

Majority vote from all four individual methods.

Trait Implementations

impl Clone for SadDetectionMethod

fn clone(&self) -> SadDetectionMethod

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for SadDetectionMethod

impl Debug for SadDetectionMethod

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SadDetectionMethod

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for SadDetectionMethod

impl Hash for SadDetectionMethod

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for SadDetectionMethod

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

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 SadDetectionMethod