implicit object NGramDistance extends NGramImpl with WeightedDistanceAlgorithm[NGramAlgorithm, Int]
Implicit definition of n-gram distance for NGramAlgorithm.
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- WeightedDistanceAlgorithm
- NGramImpl
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- def distance(s1: String, s2: String): Int
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- NGramDistance → WeightedDistanceAlgorithm
- def distance(s1: String, s2: String, n: Int): Int
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 distance between Strings s1 and s2.
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- NGramDistance → WeightedDistanceAlgorithm
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- def foldNGram[T, R](s1: Array[T], s2: Array[T], n: Int = 1)(err: => R)(success: (Int) => R)(fuzzy: (List[List[T]], List[List[T]], Int) => R): R
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- NGramTokenizer
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- def intersectLength[T]: (List[List[T]], List[List[T]]) => Int
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- NGramTokenizer
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- def nGram[T](s1: Array[T], s2: Array[T], n: Int = 1): Double
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- NGramImpl
- def nGramDist[T](s1: Array[T], s2: Array[T], n: Int = 1): Int
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- def toString(): String
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- def tokenizeNGram[T](a: Array[T], n: Int): List[List[T]]
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- NGramTokenizer
- def tokensAsJava[T](a: Array[T], n: Int): List[List[T]]
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