Struct ProductQuantizer 

pub struct ProductQuantizer { /* private fields */ }

Product Quantizer with codebooks for all subspaces

Implementations

impl ProductQuantizer

pub fn new(dimension: u32) -> Result<Self>

Create uninitialized quantizer

pub fn train( &mut self, training_vectors: &[Vec<f32>], max_iterations: usize, ) -> Result<()>

Train codebooks using k-means on sample vectors

pub fn encode(&self, vector: &[f32]) -> Result<Vec<u8>>

Encode a vector into PQ codes (96 bytes)

pub fn decode(&self, codes: &[u8]) -> Result<Vec<f32>>

Decode PQ codes back to approximate vector (for debugging/verification)

pub fn asymmetric_distance(&self, query: &[f32], codes: &[u8]) -> f32

Compute asymmetric distance between query vector and PQ-encoded vector Uses precomputed lookup tables for efficiency

Trait Implementations

impl Clone for ProductQuantizer

fn clone(&self) -> ProductQuantizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ProductQuantizer

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ProductQuantizer

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ProductQuantizer

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

where __S: Serializer,

Serialize this value into the given Serde serializer.