Struct DistanceTrainingPoint 

pub struct DistanceTrainingPoint {
    pub dim_contributions: Vec<f64>,
    pub exact_similarity: f64,
    pub approx_similarity: f64,
}

Training point for the distance model.

Records per-dimension contribution to distance computations so the model can learn which dimensions are most informative.

Fields

dim_contributions: Vec<f64>

Per-dimension absolute differences between query and result vectors.

exact_similarity: f64

Full cosine similarity (ground truth).

approx_similarity: f64

Approximate similarity using only selected dimensions.

Trait Implementations

impl Clone for DistanceTrainingPoint

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DistanceTrainingPoint

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DistanceTrainingPoint

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DistanceTrainingPoint

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

where __S: Serializer,

Serialize this value into the given Serde serializer.