Struct FaissClusteringParameters 

#[repr(C)]
pub struct FaissClusteringParameters {
    pub niter: c_int,
    pub nredo: c_int,
    pub verbose: c_int,
    pub spherical: c_int,
    pub int_centroids: c_int,
    pub update_index: c_int,
    pub frozen_centroids: c_int,
    pub min_points_per_centroid: c_int,
    pub max_points_per_centroid: c_int,
    pub seed: c_int,
    pub decode_block_size: usize,
}

Class for the clustering parameters. Can be passed to the constructor of the Clustering object.

Fields

niter: c_int

< clustering iterations

nredo: c_int

< redo clustering this many times and keep best

verbose: c_int

< (bool)

spherical: c_int

< (bool) do we want normalized centroids?

int_centroids: c_int

< (bool) round centroids coordinates to integer

update_index: c_int

< (bool) update index after each iteration?

frozen_centroids: c_int

< (bool) use the centroids provided as input and do < not change them during iterations

min_points_per_centroid: c_int

< otherwise you get a warning

max_points_per_centroid: c_int

< to limit size of dataset

seed: c_int

< seed for the random number generator

decode_block_size: usize

< how many vectors at a time to decode

Trait Implementations

impl Clone for FaissClusteringParameters

fn clone(&self) -> FaissClusteringParameters

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FaissClusteringParameters

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

Formats the value using the given formatter.

impl Copy for FaissClusteringParameters