ft_lsh_utils: Utility functions for LSH models

In sparklyr: R Interface to Apache Spark

Utility functions for LSH models

Description

Utility functions for LSH models

Usage

ml_approx_nearest_neighbors(
  model,
  dataset,
  key,
  num_nearest_neighbors,
  dist_col = "distCol"
)

ml_approx_similarity_join(
  model,
  dataset_a,
  dataset_b,
  threshold,
  dist_col = "distCol"
)

Arguments

model	A fitted LSH model, returned by either ft_minhash_lsh() or ft_bucketed_random_projection_lsh().
dataset	The dataset to search for nearest neighbors of the key.
key	Feature vector representing the item to search for.
num_nearest_neighbors	The maximum number of nearest neighbors.
dist_col	Output column for storing the distance between each result row and the key.
dataset_a	One of the datasets to join.
dataset_b	Another dataset to join.
threshold	The threshold for the distance of row pairs.

sparklyr documentation built on Nov. 2, 2023, 5:09 p.m.