Struct VectorOps 

pub struct VectorOps;

Vector similarity calculations optimized for different distance metrics

Implementations

impl VectorOps

pub fn cosine_similarity(a: &[f32], b: &[f32]) -> f32

Calculate cosine similarity between two vectors

pub fn euclidean_distance(a: &[f32], b: &[f32]) -> f32

Calculate Euclidean distance between two vectors

pub fn dot_product(a: &[f32], b: &[f32]) -> f32

Calculate dot product between two vectors

pub fn calculate_similarity( a: &[f32], b: &[f32], metric: &DistanceMetric, ) -> f32

Calculate similarity based on the specified distance metric

pub fn normalize(vector: &mut [f32])

Normalize a vector to unit length

pub fn normalized(vector: &[f32]) -> Vec<f32>

Create a normalized copy of a vector

pub fn compatible_dimensions(a: &[f32], b: &[f32]) -> bool

Check if two vectors have the same dimensions

pub fn is_valid_vector(vector: &[f32]) -> bool

Validate vector for NaN or infinite values