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added some more documentation

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Sander Hautvast 2022-05-09 22:28:19 +02:00
parent 715ea83328
commit ae7931774d
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@ -12,5 +12,5 @@ Currently in it's infancy (but growing):
* rltk::util::trigrams(\["a","b","c"]) == ngrams(..., 3) * rltk::util::trigrams(\["a","b","c"]) == ngrams(..., 3)
* rltk::util::everygrams(\["a","b","c"],2) == \[\["a"], \["a", "b"], \["b"], \["b", "c"]] * rltk::util::everygrams(\["a","b","c"],2) == \[\["a"], \["a", "b"], \["b"], \["b", "c"]]
* rltk::util::flatten(\[\["a"], \["a", "b"], \["b"], \["b", "c"]]) == \[\"a", "a", "b", "b", "b", "c"] * rltk::util::flatten(\[\["a"], \["a", "b"], \["b"], \["b", "c"]]) == \[\"a", "a", "b", "b", "b", "c"]
* rltk::metrics::distance::edit_distance("") * rltk::metrics::distance::edit_distance(): calculate the levenshtein distance between two words (see doc)