Implementation of string distance algorithms.
Edit distances algorithms for fuzzy matching. Specifically, this library provides:
Levenshtein d = new Levenshtein(); print(d.distance('witch', 'kitsch')); // 2
JaroWinklermistakenly used / operator where ~/ is required.
normalizedDistancemethod returns a similarity between 0.0 (exact same) and 1.0 (completely different).
Add this to your package's pubspec.yaml file:
dependencies: edit_distance: "^0.3.0"
You can install packages from the command line:
$ pub get
$ flutter packages get
Alternatively, your editor might support
pub get or
Check the docs for your editor to learn more.
Now in your Dart code, you can use:
|0.3.0||Nov 13, 2016|
|0.2.1||Nov 3, 2016|
|0.2.0||Oct 4, 2016|
|0.1.0||Sep 28, 2016|
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