cuda_ml_knn_algo_ivfsq: Build a specification for the "ivfsq" KNN query algorithm.

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

Description

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

Usage

cuda_ml_knn_algo_ivfsq(
  nlist,
  nprobe,
  qtype = c("QT_8bit", "QT_4bit", "QT_8bit_uniform", "QT_4bit_uniform", "QT_fp16",
    "QT_8bit_direct", "QT_6bit"),
  encode_residual = FALSE
)

Arguments

nlist	Number of cells to partition dataset into.
nprobe	At query time, the number of cells used for approximate nearest neighbor search.
qtype	Quantizer type. Must be one of "QT_8bit", "QT_4bit", "QT_8bit_uniform", "QT_4bit_uniform", "QT_fp16", "QT_8bit_direct", "QT_6bit".
encode_residual	Whether to encode residuals.

Value

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

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