Rust module: cuvs::cluster::kmeans::params
Source: rust/cuvs/src/cluster/kmeans/params.rs
Methods
Returns a new Params
Source: rust/cuvs/src/cluster/kmeans/params.rs:15
DistanceType to use for fitting kmeans
Source: rust/cuvs/src/cluster/kmeans/params.rs:24
The number of clusters to form as well as the number of centroids to generate (default:8).
Source: rust/cuvs/src/cluster/kmeans/params.rs:32
Maximum number of iterations of the k-means algorithm for a single run.
Source: rust/cuvs/src/cluster/kmeans/params.rs:40
Relative tolerance with regards to inertia to declare convergence.
Source: rust/cuvs/src/cluster/kmeans/params.rs:48
Number of instance k-means algorithm will be run with different seeds.
Source: rust/cuvs/src/cluster/kmeans/params.rs:56
Oversampling factor for use in the k-means|| algorithm
Source: rust/cuvs/src/cluster/kmeans/params.rs:64
Source: rust/cuvs/src/cluster/kmeans/params.rs:77
if 0 then batch_centroids = n_clusters
Source: rust/cuvs/src/cluster/kmeans/params.rs:84
Whether to use hierarchical (balanced) kmeans or not
Source: rust/cuvs/src/cluster/kmeans/params.rs:92
For hierarchical k-means , defines the number of training iterations
Source: rust/cuvs/src/cluster/kmeans/params.rs:100
Source: rust/cuvs/src/cluster/kmeans/params.rs:11