Package org.apache.commons.text.similarity

# Class JaroWinklerDistance

java.lang.Object
org.apache.commons.text.similarity.JaroWinklerDistance

All Implemented Interfaces:
  `BiFunction<CharSequence,CharSequence,Double>`, `EditDistance<Double>`, `ObjectSimilarityScore<CharSequence,Double>`, `SimilarityScore<Double>`

public class JaroWinklerDistance extends Object implements EditDistance<Double>
Measures the Jaro-Winkler distance of two character sequences. It is the complementary of Jaro-Winkler similarity.

Since:
  1.0

- ## Field Summary

  Fields
  Modifier and Type
  Field
  Description
  `static final int`
  `INDEX_NOT_FOUND`
  Deprecated.
  Deprecated as of 1.7.

- ## Constructor Summary

  Constructors
  Constructor
  Description
  `JaroWinklerDistance()`

- ## Method Summary

  Modifier and Type
  Method
  Description
  `Double`
  `apply(CharSequence left, CharSequence right)`
  Computes the Jaro Winkler Distance between two character sequences.
  `<E> Double`
  `apply(SimilarityInput<E> left, SimilarityInput<E> right)`
  Computes the Jaro Winkler Distance between two character sequences.
  `protected static int[]`
  `matches(CharSequence first, CharSequence second)`
  Deprecated.
  Deprecated as of 1.7.

  ### Methods inherited from class java.lang.Object

  `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

  ### Methods inherited from interface java.util.function.BiFunction

  `andThen`

- ## Field Details

  - ### INDEX_NOT_FOUND

    @Deprecated public static final int INDEX_NOT_FOUND
    Deprecated.
    Deprecated as of 1.7. This constant will be removed in 2.0.
    See Also:
      - Constant Field Values

- ## Constructor Details

  - ### JaroWinklerDistance

    public JaroWinklerDistance()

- ## Method Details

  - ### matches

    @Deprecated protected static int[] matches(CharSequence first, CharSequence second)
    Deprecated.
    Deprecated as of 1.7. This method will be removed in 2.0, and moved to a Jaro Winkler similarity class. TODO see TEXT-104.
    Computes the Jaro-Winkler string matches, half transpositions, prefix array.
    Parameters:
      `first` - the first string to be matched.
      `second` - the second string to be matched.
    Returns:
      array containing: matches, half transpositions, and prefix

  - ### apply

    public Double apply(CharSequence left, CharSequence right)
    Computes the Jaro Winkler Distance between two character sequences.

         distance.apply(null, null)          = IllegalArgumentException
         distance.apply("foo", null)         = IllegalArgumentException
         distance.apply(null, "foo")         = IllegalArgumentException
         distance.apply("", "")              = 0.0
         distance.apply("foo", "foo")        = 0.0
         distance.apply("foo", "foo ")       = 0.06
         distance.apply("foo", "foo  ")      = 0.09
         distance.apply("foo", " foo ")      = 0.13
         distance.apply("foo", "  foo")      = 0.49
         distance.apply("", "a")             = 1.0
         distance.apply("aaapppp", "")       = 1.0
         distance.apply("frog", "fog")       = 0.07
         distance.apply("fly", "ant")        = 1.0
         distance.apply("elephant", "hippo") = 0.56
         distance.apply("hippo", "elephant") = 0.56
         distance.apply("hippo", "zzzzzzzz") = 1.0
         distance.apply("hello", "hallo")    = 0.12
         distance.apply("ABC Corporation", "ABC Corp") = 0.09
         distance.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.05
         distance.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.08
         distance.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.12

    Specified by:
      `apply` in interface `BiFunction<CharSequence,CharSequence,Double>`
    Specified by:
      `apply` in interface `ObjectSimilarityScore<CharSequence,Double>`
    Specified by:
      `apply` in interface `SimilarityScore<Double>`
    Parameters:
      `left` - the first input, must not be null.
      `right` - the second input, must not be null.
    Returns:
      result distance.
    Throws:
      `IllegalArgumentException` - if either CharSequence input is `null`

  - ### apply

    public <E> Double apply(SimilarityInput<E> left, SimilarityInput<E> right)
    Computes the Jaro Winkler Distance between two character sequences.

         distance.apply(null, null)          = IllegalArgumentException
         distance.apply("foo", null)         = IllegalArgumentException
         distance.apply(null, "foo")         = IllegalArgumentException
         distance.apply("", "")              = 0.0
         distance.apply("foo", "foo")        = 0.0
         distance.apply("foo", "foo ")       = 0.06
         distance.apply("foo", "foo  ")      = 0.09
         distance.apply("foo", " foo ")      = 0.13
         distance.apply("foo", "  foo")      = 0.49
         distance.apply("", "a")             = 1.0
         distance.apply("aaapppp", "")       = 1.0
         distance.apply("frog", "fog")       = 0.07
         distance.apply("fly", "ant")        = 1.0
         distance.apply("elephant", "hippo") = 0.56
         distance.apply("hippo", "elephant") = 0.56
         distance.apply("hippo", "zzzzzzzz") = 1.0
         distance.apply("hello", "hallo")    = 0.12
         distance.apply("ABC Corporation", "ABC Corp") = 0.09
         distance.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.05
         distance.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.08
         distance.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.12

    Type Parameters:
      `E` - The type of similarity score unit.
    Parameters:
      `left` - the first input, must not be null.
      `right` - the second input, must not be null.
    Returns:
      result distance.
    Throws:
      `IllegalArgumentException` - if either CharSequence input is `null`.
    Since:
      1.13.0