edits.cr v0.8.0
edits
A collection of edit distance algorithms in Crystal.
Includes Levenshtein, Restricted Edit (Optimal Alignment) and Damerau-Levenshtein distances, and Jaro and Jaro-Winkler similarity.
Installation
Add this to your application's shard.yml
:
dependencies:
edits:
github: tcrouch/edits.cr
Usage
require "edits"
Levenshtein variants
Calculate the edit distance between two sequences with variants of the Levenshtein distance algorithm.
Edits::Levenshtein.distance "raked", "bakers"
# => 3
Edits::RestrictedEdit.distance "iota", "atom"
# => 3
Edits::DamerauLevenshtein.distance "acer", "earn"
# => 3
- Levenshtein edit distance, counting insertion, deletion and substitution.
- Restricted Damerau-Levenshtein edit distance (aka Optimal Alignment), counting insertion, deletion, substitution and transposition (adjacent symbols swapped). Restricted by the condition that no substring is edited more than once.
- Damerau-Levenshtein edit distance, counting insertion, deletion, substitution and transposition (adjacent symbols swapped).
Levenshtein | Restricted Damerau-Levenshtein | Damerau-Levenshtein | |
---|---|---|---|
"raked" vs. "bakers" | 3 | 3 | 3 |
"iota" vs. "atom" | 4 | 3 | 3 |
"acer" vs. "earn" | 4 | 4 | 3 |
Levenshtein and Restricted Edit distances accept an optional maximum bound.
Edits::Levenshtein.distance "fghijk", "abcde", 3
# => 3
The convenience method most_similar
searches for the best match to a given sequence from a collection. It is similar to using min_by
, but leverages a maximum bound.
Edits::RestrictedEdit.most_similar "atom", ["iota", "tome", "mown", "tame"]
# => "tome"
Jaro & Jaro-Winkler
Calculate the Jaro and Jaro-Winkler similarity/distance of two sequences.
Edits::Jaro.similarity "information", "informant"
# => 0.90235690235690236
Edits::Jaro.distance "information", "informant"
# => 0.097643097643097643
Edits::JaroWinkler.similarity "information", "informant"
# => 0.94141414141414137
Edits::JaroWinkler.distance "information", "informant"
# => 0.05858585858585863
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Contributors
- [tcrouch] Tom Crouch - creator, maintainer
Repository
edits.cr
Owner
Statistic
- 16
- 0
- 0
- 1
- 0
- 7 months ago
- June 13, 2016
License
MIT License
Links
Synced at
Thu, 07 Nov 2024 22:58:15 GMT
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