Uses of Interface
com.wcohen.ss.api.StringDistanceLearner

Packages that use StringDistanceLearner

Package	Description
com.wcohen.ss	This package contains a bunch of approximate string comparators, plus code for performing controlled experiments with this.
com.wcohen.ss.api
com.wcohen.ss.expt
com.wcohen.ss.lookup
com.wcohen.ss.tokens

Uses of StringDistanceLearner in com.wcohen.ss

Classes in com.wcohen.ss that implement StringDistanceLearner

Modifier and Type	Class and Description
class	AbbreviationAlignment Abbreviation distance metric which evaluates the probability of a short-form string being an abbreviation/acronym of another long-form string.
class	AbstractSourcedStatisticalTokenDistance Abstract token distance metric that uses frequency statistics.
class	AbstractSourcedTokenizedStringDistance Abstract distance metric for tokenized strings.
class	AbstractStatisticalTokenDistance Abstract token distance metric that uses frequency statistics.
class	AbstractStringDistance Abstract class which implements StringDistanceLearner as well as StringDistance.
class	AbstractTokenizedStringDistance Abstract distance metric for tokenized strings.
class	AffineGap Affine-gap string distance, following Durban et al.
class	ApproxNeedlemanWunsch Needleman-Wunsch string distance, following Durban et al.
class	AveragedStringDistanceLearner Abstract StringDistanceLearner class which averages results of a number of inner distance metrics, learned by a number of inner distance learners.
class	CombinedStringDistanceLearner Abstract StringDistanceLearner class which combines results of a number of inner distance metrics, learned by a number of inner distance learners.
class	DirichletJS Jensen-Shannon distance of two unigram language models, smoothed using Dirichlet prior.
class	Jaccard Jaccard distance implementation.
class	Jaro Jaro distance metric.
class	JaroTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the Jaro distance metric.
class	JaroWinkler Jaro distance metric, as extended by Winkler.
class	JaroWinklerTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the JaroWinkler distance metric.
class	JelinekMercerJS Jensen-Shannon distance of two unigram language models, smoothed using Jelinek-Mercer mixture model.
class	JensenShannonDistance Distance metrics based on Jensen-Shannon distance of two smoothed unigram language models.
class	Level2 Generic version of Monge & Elkan's "level 2" recursive field matching.
class	Level2Jaro "Level 2" recursive field matching algorithm, based on Jaro distance.
class	Level2JaroWinkler "Level 2" recursive field matching algorithm, based on Jaro distance.
class	Level2Levenstein "Level 2" recursive field matching algorithm using Levenstein distance.
class	Level2MongeElkan Monge & Elkan's "level 2" recursive field matching algorithm.
class	Levenstein Levenstein string distance.
class	Mixture Mixture-based distance metric.
class	MongeElkan The match method proposed by Monge and Elkan.
class	MongeElkanTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the MongeElkan distance metric.
class	NeedlemanWunsch Needleman-Wunsch string distance, following Durban et al.
class	ScaledLevenstein Levenstein string distance.
class	SmithWaterman Smith-Waterman string distance, following Durban et al.
class	SoftTFIDF TFIDF-based distance metric, extended to use "soft" token-matching.
class	SoftTokenFelligiSunter Highly simplified model of Felligi-Sunter's method 1, applied to tokens.
class	SourcedSoftTFIDF TFIDF-based distance metric, extended to use "soft" token-matching.
class	SourcedTFIDF Sourced-based distance metric.
class	TagLink
class	TFIDF TFIDF-based distance metric.
class	TokenFelligiSunter Highly simplified model of Felligi-Sunter's method 1, applied to tokens.
class	UnsmoothedJS Jensen-Shannon distance of two unsmoothed unigram language models.
class	WinklerRescorer Winkler's reweighting scheme for distance metrics.

Fields in com.wcohen.ss declared as StringDistanceLearner

Modifier and Type	Field and Description
protected StringDistanceLearner[]	CombinedStringDistanceLearner.innerLearners

Methods in com.wcohen.ss that return StringDistanceLearner

Modifier and Type	Method and Description
static StringDistanceLearner	DistanceLearnerFactory.build(String classNames) Generate a StringDistance from a class name, or a sequence of classnames separated by slashes.
static StringDistanceLearner	DistanceLearnerFactory.build(String[] classNames) Generate a StringDistance from a sequence of classnames.

Constructors in com.wcohen.ss with parameters of type StringDistanceLearner

Constructor and Description
AveragedStringDistanceLearner(StringDistanceLearner[] innerLearners, String delim)
CombinedStringDistanceLearner(StringDistanceLearner[] innerLearners, String delim)

Uses of StringDistanceLearner in com.wcohen.ss.api

Methods in com.wcohen.ss.api with parameters of type StringDistanceLearner

Modifier and Type	Method and Description
StringDistance	StringDistanceTeacher.train(StringDistanceLearner learner)

Uses of StringDistanceLearner in com.wcohen.ss.expt

Constructors in com.wcohen.ss.expt with parameters of type StringDistanceLearner

Constructor and Description
MatchExpt(MatchData data, StringDistanceLearner learner)
MatchExpt(MatchData data, StringDistanceLearner learner, Blocker blocker)
SpecialMatchExpt(MatchData data, StringDistanceLearner learner, Blocker blocker, boolean useTrueClusters, String moreNamesFile, String similarTokenFile, boolean untrained)

Uses of StringDistanceLearner in com.wcohen.ss.lookup

Constructors in com.wcohen.ss.lookup with parameters of type StringDistanceLearner

Constructor and Description
SoftDictionary(StringDistanceLearner distanceLearner)
SoftDictionary(StringDistanceLearner distanceLearner, Tokenizer tokenizer)

Uses of StringDistanceLearner in com.wcohen.ss.tokens

Classes in com.wcohen.ss.tokens that implement StringDistanceLearner

Modifier and Type	Class and Description
class	TagLinkToken