cuda_ml_knn_algo_ivfpq: Build a specification for the "ivfpq" KNN query algorithm.

In cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries

Description

Build a specification of the inverted-file-product-quantization KNN query algorithm, with all required parameters specified explicitly.

Usage

cuda_ml_knn_algo_ivfpq(
  nlist,
  nprobe,
  m,
  n_bits,
  use_precomputed_tables = FALSE
)

Arguments

nlist	Number of cells to partition dataset into.
nprobe	At query time, the number of cells used for approximate nearest neighbor search.
m	Number of subquantizers.
n_bits	Bits allocated per subquantizer.
use_precomputed_tables	Whether to use precomputed tables.

Value

An object encapsulating all required parameters of the "ivfpq" KNN query algorithm.

cuda.ml documentation built on Jan. 8, 2022, 9:06 a.m.