h2o.stringdist: Compute element-wise string distances between two H2OFrames

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Compute element-wise string distances between two H2OFrames

Description

Compute element-wise string distances between two H2OFrames. Both frames need to have the same shape (N x M) and only contain string/factor columns. Return a matrix (H2OFrame) of shape N x M.

Usage

h2o.stringdist(
  x,
  y,
  method = c("lv", "lcs", "qgram", "jaccard", "jw", "soundex"),
  compare_empty = TRUE
)

Arguments

x	An H2OFrame
y	A comparison H2OFrame
method	A string identifier indicating what string distance measure to use. Must be one of: "lv" - Levenshtein distance "lcs" - Longest common substring distance "qgram" - q-gram distance "jaccard" - Jaccard distance between q-gram profiles "jw" - Jaro, or Jaro-Winker distance "soundex" - Distance based on soundex encoding
compare_empty	if set to FALSE, empty strings will be handled as NaNs

Examples

## Not run: 
h2o.init()
x <- as.h2o(c("Martha", "Dwayne", "Dixon"))
y <- as.character(as.h2o(c("Marhta", "Duane", "Dicksonx")))
h2o.stringdist(x, y, method = "jw")

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.