Enum RecommendationStrategy 

pub enum RecommendationStrategy {
    AverageVector,
    BestScore,
}

RecommendationStrategy : Strategy to use for recommendations, either "average_vector" or "best_score". The default is "average_vector". The "average_vector" strategy will construct a single average vector from the positive and negative samples then use it to perform a pseudo-search. The "best_score" strategy is more advanced and navigates the HNSW with a heuristic of picking edges where the point is closer to the positive samples than it is the negatives. Strategy to use for recommendations, either "average_vector" or "best_score". The default is "average_vector". The "average_vector" strategy will construct a single average vector from the positive and negative samples then use it to perform a pseudo-search. The "best_score" strategy is more advanced and navigates the HNSW with a heuristic of picking edges where the point is closer to the positive samples than it is the negatives.

Variants

AverageVector

BestScore

Trait Implementations

impl Clone for RecommendationStrategy

fn clone(&self) -> RecommendationStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RecommendationStrategy

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

Formats the value using the given formatter.

impl Default for RecommendationStrategy

fn default() -> RecommendationStrategy

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for RecommendationStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for RecommendationStrategy

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 Ord for RecommendationStrategy

fn cmp(&self, other: &RecommendationStrategy) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for RecommendationStrategy

fn eq(&self, other: &RecommendationStrategy) -> 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 PartialOrd for RecommendationStrategy

fn partial_cmp(&self, other: &RecommendationStrategy) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Serialize for RecommendationStrategy

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ToString for RecommendationStrategy

fn to_string(&self) -> String

Converts the given value to a String.

impl Copy for RecommendationStrategy

impl Eq for RecommendationStrategy

impl StructuralPartialEq for RecommendationStrategy