Object

com.github.vickumar1981.stringdistance.implicits

TverskyScore

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implicit object TverskyScore extends JaccardImpl with WeightedScoringAlgorithm[TverskyAlgorithm, Double]

Implicit definition of tversky score for TverskyAlgorithm.

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  1. TverskyScore
  2. WeightedScoringAlgorithm
  3. JaccardImpl
  4. NGramTokenizer
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  1. final def !=(arg0: Any): Boolean

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  9. def foldNGram[T](s1: String, s2: String, n: Int = 1)(err: ⇒ T)(success: (Int) ⇒ T)(fuzzy: (Seq[String], Seq[String], Int) ⇒ T): T

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  10. final def getClass(): Class[_]

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  12. val intersectLength: (Array[String], Array[String]) ⇒ Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def jaccard(s1: String, s2: String, n: Int = 1): Double

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    JaccardImpl
  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def score(s1: String, s2: String, n: Double = 1): Double

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    The score method takes two strings and returns tversky score between them.

    The score method takes two strings and returns tversky score between them.

    s1

    The 1st String.

    s2

    The 2nd String.

    returns

    Returns the tversky score between Strings s1 and s2.

    Definition Classes
    TverskyScoreWeightedScoringAlgorithm
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. def tokenizeNGram(a: String, n: Int): Array[String]

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  22. def tversky(s1: String, s2: String, n: Double = 1): Double

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    JaccardImpl
  23. final def wait(): Unit

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  25. final def wait(arg0: Long): Unit

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Inherited from WeightedScoringAlgorithm[TverskyAlgorithm, Double]

Inherited from JaccardImpl

Inherited from NGramTokenizer

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