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ft_lsh_utils

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

R Interface to Apache Spark

v1.6.2
Apache License 2.0 | file LICENSE
Authors
Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]
Initial release

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