Struct faiss_sys::FaissClusteringParameters
[−]
[src]
#[repr(C)]pub struct FaissClusteringParameters { pub niter: c_int, pub nredo: c_int, pub verbose: c_int, pub spherical: 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, }
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?
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
Trait Implementations
impl Debug for FaissClusteringParameters
[src]
fn fmt(&self, __arg_0: &mut Formatter) -> Result
[src]
Formats the value using the given formatter. Read more
impl Copy for FaissClusteringParameters
[src]
impl Clone for FaissClusteringParameters
[src]
fn clone(&self) -> FaissClusteringParameters
[src]
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
1.0.0[src]
Performs copy-assignment from source
. Read more