Object

com.github.vickumar1981.stringdistance.implicits

NGramScore

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implicit object NGramScore extends NGramImpl with WeightedScoringAlgorithm[NGramAlgorithm, Int]

Implicit definition of n-gram score for NGramAlgorithm.

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  11. def hashCode(): Int

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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 nGram(s1: String, s2: String, n: Int = 1): Double

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    NGramImpl
  15. def nGramDist(s1: String, s2: String, n: Int = 1): Int

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    NGramImpl
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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    The score method takes two strings and returns n-gram similarity between them.

    The score method takes two strings and returns n-gram similarity between them.

    s1

    The 1st String.

    s2

    The 2nd String.

    returns

    Returns the n-gram similarity between Strings s1 and s2.

    Definition Classes
    NGramScoreWeightedScoringAlgorithm
  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  21. def toString(): String

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

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    NGramTokenizer
  23. final def wait(): Unit

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  24. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from NGramImpl

Inherited from NGramTokenizer

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