osa_normalized_similarity: Normalized Similarity Using OSA
In RapidFuzz: String Similarity Computation Using 'RapidFuzz'
osa_normalized_similarity R Documentation
Normalized Similarity Using OSA
Description
Calculates the normalized similarity between two strings using the Optimal String Alignment (OSA) algorithm.
Usage
osa_normalized_similarity(s1, s2, score_cutoff = 0)
Arguments
s1
A string to compare.
s2
Another string to compare.
score_cutoff
A threshold for the normalized similarity score (default is 0.0).
Value
A double representing the normalized similarity score.
Examples
osa_normalized_similarity("string1", "string2")
RapidFuzz documentation built on April 3, 2025, 11:52 p.m.
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| osa_normalized_similarity | R Documentation |
Normalized Similarity Using OSA
Description
Calculates the normalized similarity between two strings using the Optimal String Alignment (OSA) algorithm.
Usage
osa_normalized_similarity(s1, s2, score_cutoff = 0)
Arguments
s1 |
A string to compare. |
s2 |
Another string to compare. |
score_cutoff |
A threshold for the normalized similarity score (default is 0.0). |
Value
A double representing the normalized similarity score.
Examples
osa_normalized_similarity("string1", "string2")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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