Struct SemanticSimilarity 

pub struct SemanticSimilarity { /* private fields */ }

Semantic similarity computer with multiple algorithms

Implementations

impl SemanticSimilarity

pub fn new(config: SimilarityConfig) -> Self

pub fn set_feature_weights(&mut self, weights: Vec<f32>)

Set feature importance weights

pub fn set_covariance_matrix(&mut self, matrix: Vec<Vec<f32>>)

Set covariance matrix for Mahalanobis distance

pub fn similarity(&self, a: &Vector, b: &Vector) -> Result<f32>

Calculate similarity using primary metric

pub fn ensemble_similarity(&self, a: &Vector, b: &Vector) -> Result<f32>

Calculate ensemble similarity using multiple metrics

pub fn similarity_matrix(&self, vectors: &[Vector]) -> Result<Vec<Vec<f32>>>

Calculate similarity matrix for a set of vectors

pub fn find_similar( &self, query: &Vector, candidates: &[(String, Vector)], k: usize, ) -> Result<Vec<(String, f32)>>

Find most similar vectors to a query

pub fn cluster_by_similarity( &self, vectors: &[(String, Vector)], threshold: f32, ) -> Result<Vec<Vec<String>>>

Calculate semantic clusters based on similarity