Struct PathTrainingPoint 

pub struct PathTrainingPoint {
    pub query_norm: f64,
    pub query_variance: f64,
    pub hops: usize,
    pub top_score: f64,
    pub store_size: usize,
    pub region_id: Option<usize>,
    pub region_score: f64,
    pub guided: bool,
}

Training point for the search path model.

Records entry-point selection outcomes so the model can predict the best starting node for a given query vector.

Fields

query_norm: f64

Query vector norm.

query_variance: f64

Query vector variance.

hops: usize

Number of hops taken during the search (or candidate-pool size proxy).

top_score: f64

Score of the top result.

store_size: usize

Total entries in the store at search time.

region_id: Option<usize>

Predicted region id when path table was used (None if unguided).

region_score: f64

Cosine of query to chosen region centroid (0 when unguided).

guided: bool

Whether guided search was used.

Trait Implementations

impl Clone for PathTrainingPoint

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 PathTrainingPoint

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for PathTrainingPoint

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PathTrainingPoint

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

where __S: Serializer,

Serialize this value into the given Serde serializer.