cuda_ml_knn_algo_ivfpq {cuda.ml} | R Documentation |
Build a specification for the "ivfpq" KNN query algorithm.
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.
[Package cuda.ml version 0.3.2 Index]