| Copyright | © 2016–2017 Mark Karpov |
|---|---|
| License | BSD 3 clause |
| Maintainer | Mark Karpov <markkarpov92@gmail.com> |
| Stability | experimental |
| Portability | portable |
| Safe Haskell | None |
| Language | Haskell2010 |
Data.Text.Metrics
Description
The module provides efficient implementations of various strings metric
algorithms. It works with strict Text values.
Note: before version 0.3.0 the package used C implementations of the algorithms under the hood. Beginning from version 0.3.0, the implementations are written in Haskell while staying almost as fast, see:
Synopsis
- levenshtein :: Text -> Text -> Int
- levenshteinNorm :: Text -> Text -> Ratio Int
- damerauLevenshtein :: Text -> Text -> Int
- damerauLevenshteinNorm :: Text -> Text -> Ratio Int
- overlap :: Text -> Text -> Ratio Int
- jaccard :: Text -> Text -> Ratio Int
- hamming :: Text -> Text -> Maybe Int
- jaro :: Text -> Text -> Ratio Int
- jaroWinkler :: Text -> Text -> Ratio Int
Levenshtein variants
levenshtein :: Text -> Text -> Int Source #
Return Levenshtein distance between two Text values. Classic
Levenshtein distance between two strings is the minimal number of
operations necessary to transform one string into another. For
Levenshtein distance allowed operations are: deletion, insertion, and
substitution.
See also: https://en.wikipedia.org/wiki/Levenshtein_distance.
Heads up, before version 0.3.0 this function returned
Natural.
levenshteinNorm :: Text -> Text -> Ratio Int Source #
Return normalized Levenshtein distance between two Text values.
Result is a non-negative rational number (represented as Ratio
Natural
See also: https://en.wikipedia.org/wiki/Levenshtein_distance.
Heads up, before version 0.3.0 this function returned Ratio
Natural
damerauLevenshtein :: Text -> Text -> Int Source #
Return Damerau-Levenshtein distance between two Text values. The
function works like levenshtein, but the collection of allowed
operations also includes transposition of two adjacent characters.
See also: https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance.
Heads up, before version 0.3.0 this function returned
Natural.
damerauLevenshteinNorm :: Text -> Text -> Ratio Int Source #
Return normalized Damerau-Levenshtein distance between two Text
values. 0 signifies no similarity between the strings, while 1 means
exact match.
See also: https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance.
Heads up, before version 0.3.0 this function returned Ratio
Natural
Treating inputs like sets
overlap :: Text -> Text -> Ratio Int Source #
Return overlap coefficient for two Text values. Returned value is in
the range from 0 (no similarity) to 1 (exact match). Return 1 if both
Text values are empty.
See also: https://en.wikipedia.org/wiki/Overlap_coefficient.
Since: text-metrics-0.3.0
jaccard :: Text -> Text -> Ratio Int Source #
Return Jaccard similarity coefficient for two Text values. Returned
value is in the range from 0 (no similarity) to 1 (exact match). Return 1
if both
See also: https://en.wikipedia.org/wiki/Jaccard_index
Since: text-metrics-0.3.0
Other
hamming :: Text -> Text -> Maybe Int Source #
O(n) Return Hamming distance between two Text values. Hamming
distance is defined as the number of positions at which the corresponding
symbols are different. The input Text values should be of equal length
or Nothing will be returned.
See also: https://en.wikipedia.org/wiki/Hamming_distance.
Heads up, before version 0.3.0 this function returned Maybe
Natural
jaro :: Text -> Text -> Ratio Int Source #
Return Jaro distance between two Text values. Returned value is in
the range from 0 (no similarity) to 1 (exact match).
While the algorithm is pretty clear for artificial examples (like those from the linked Wikipedia article), for arbitrary strings, it may be hard to decide which of two strings should be considered as one having “reference” order of characters (order of matching characters in an essential part of the definition of the algorithm). This makes us consider the first string the “reference” string (with correct order of characters). Thus generally,
jaro a b ≠ jaro b a
This asymmetry can be found in all implementations of the algorithm on the internet, AFAIK.
See also: https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
Heads up, before version 0.3.0 this function returned Ratio
Natural
Since: text-metrics-0.2.0
jaroWinkler :: Text -> Text -> Ratio Int Source #
Return Jaro-Winkler distance between two Text values. Returned value
is in range from 0 (no similarity) to 1 (exact match).
See also: https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
Heads up, before version 0.3.0 this function returned Ratio
Natural
Since: text-metrics-0.2.0