object ArrayDistance
Main class to work with generic arrays, Array[T], analagous to StringDistance
import com.github.vickumar1981.stringdistance.ArrayDistance._ // Example Levenshtein Distance and Score val levenshteinDist = Levenshtein.distance(Array("m", "a", "r", "t", "h", "a"), Array("m", "a", "r", "h", "t", "a")) // 2 val levenshtein = Levenshtein.score(Array("m", "a", "r", "t", "h", "a"), Array("m", "a", "r", "h", "t", "a")) // 0.667
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- sealed trait DistanceMetric extends AnyRef
- sealed trait ScoreFromDistanceMetric extends AnyRef
- sealed trait ScoreMetric extends AnyRef
- sealed trait WeightedDistanceMetric[T2] extends AnyRef
- sealed trait WeightedScoreMetric[T2] extends AnyRef
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- def wrapDist[T](arr1: Array[T], arr2: Array[T], dist: () => Int): Int
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- def wrapScore[T](arr1: Array[T], arr2: Array[T], score: () => Double): Double
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- object Cosine extends ScoreMetric with CosSimilarityImpl
- object Damerau extends ScoreFromDistanceMetric with LevenshteinDistanceImpl
- object DiceCoefficient extends ScoreMetric with DiceCoefficientImpl
- object Hamming extends ScoreFromDistanceMetric with HammingImpl
- object Jaccard extends WeightedScoreMetric[Int] with JaccardImpl
- object Jaro extends ScoreMetric with JaroImpl
- object JaroWinkler extends WeightedScoreMetric[Double] with JaroImpl
- object Levenshtein extends ScoreFromDistanceMetric with LevenshteinDistanceImpl
- object LongestCommonSeq extends DistanceMetric with LongestCommonSeqImpl
- object NGram extends WeightedScoreMetric[Int] with WeightedDistanceMetric[Int] with NGramImpl
- object NeedlemanWunsch extends WeightedScoreMetric[ConstantGap] with NeedlemanWunschImpl
- object Overlap extends WeightedScoreMetric[Int] with OverlapImpl
- object SmithWaterman extends WeightedScoreMetric[(Gap, Int)] with SmithWatermanImpl
- object SmithWatermanGotoh extends WeightedScoreMetric[ConstantGap] with SmithWatermanImpl
- object Tversky extends WeightedScoreMetric[Double] with JaccardImpl