Struct DeepHashEmbedding 

pub struct DeepHashEmbedding { /* private fields */ }

Deep hash embedding with learned projections

Implementations

impl DeepHashEmbedding

pub fn new( input_dims: usize, hidden_dims: Vec<usize>, output_bits: usize, ) -> Self

Create a new deep hash embedding

pub fn train( &mut self, positive_pairs: &[(Vec<f32>, Vec<f32>)], negative_pairs: &[(Vec<f32>, Vec<f32>)], learning_rate: f32, epochs: usize, )

Train on pairs of similar/dissimilar examples

pub fn dimensions(&self) -> (usize, usize)

Get dimensions

Trait Implementations

impl Clone for DeepHashEmbedding

fn clone(&self) -> DeepHashEmbedding

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<'de> Deserialize<'de> for DeepHashEmbedding

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl NeuralHash for DeepHashEmbedding

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

Encode a vector to binary code

fn hamming_distance(&self, code_a: &[u8], code_b: &[u8]) -> u32

Compute Hamming distance between two codes

fn estimate_similarity(&self, hamming_dist: u32, code_bits: usize) -> f32

Estimate similarity from Hamming distance

impl Serialize for DeepHashEmbedding

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

where __S: Serializer,

Serialize this value into the given Serde serializer.