Index

A B C D E F G H I J K L M N O P R S T U V W
All Classes All Packages

A

AbstractMatcher(List<? extends Queue<List<Integer>>>, List<? extends Queue<List<Integer>>>) - Constructor for class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
AbstractStableMarriage<T> - Class in com.bakdata.dedupe.matching
AbstractStableMarriage() - Constructor for class com.bakdata.dedupe.matching.AbstractStableMarriage
AbstractStableMarriage.AbstractMatcher - Class in com.bakdata.dedupe.matching
AbstractStableMarriage.Matcher - Interface in com.bakdata.dedupe.matching
add(double, SimilarityMeasure<R>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
add(double, Function<R, ? extends T>, SimilarityMeasure<? super T>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
add(T) - Method in class com.bakdata.dedupe.clustering.Cluster
AdditionalFieldMergeBuilder(Merge.IllTypedFieldMergeBuilder<F, F, R>) - Constructor for class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
AggregatingSimilarityMeasure<T> - Class in com.bakdata.dedupe.similarity: Aggregates similarities with a given aggregator.
AggregatingSimilarityMeasure(ToDoubleFunction<? super DoubleStream>, SimilarityMeasure<? super T>...) - Constructor for class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure: Creates an AggregatingSimilarityMeasure with the given aggregator and the similarity measures.
AggregatingSimilarityMeasure(ToDoubleFunction<? super DoubleStream>, Iterable<? extends SimilarityMeasure<? super T>>) - Constructor for class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure: Creates an AggregatingSimilarityMeasure with the given aggregator and the similarity measures.
AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder<T> - Class in com.bakdata.dedupe.similarity
aggregator(ToDoubleFunction<? super DoubleStream>) - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder
aggregator(ToDoubleFunction<Stream<WeightedAggregatingSimilarityMeasure.WeightedValue>>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
and(T) - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue: Adds another value to the composition.
andThen(ConflictResolution<O, O2>) - Method in interface com.bakdata.dedupe.fusion.ConflictResolution: Chains two conflict resolution functions, so that if some values remain unresolved after this conflict resolution, the successor will be applied on these remaining alternatives.
andThen(ValueTransformation<? super R, ? extends V>) - Method in interface com.bakdata.dedupe.similarity.ValueTransformation: Composes this and the other transformation, such that this transformation is first applied to values and the given transformation is applied afterwards.
AnnotatedValue<T> - Class in com.bakdata.dedupe.fusion: A value with lineage information; in particular, the Source and the timestamp.
AnnotatedValue(T, Source, LocalDateTime) - Constructor for class com.bakdata.dedupe.fusion.AnnotatedValue
apply(FusedValue<T>) - Method in interface com.bakdata.dedupe.fusion.IncompleteFusionHandler
assign(Collection<WeightedEdge<T>>) - Method in interface com.bakdata.dedupe.matching.Assigner: Finds the set of edges forming a matching that maximizes the sum of the edge weights.
assign(Collection<WeightedEdge<T>>) - Method in interface com.bakdata.dedupe.matching.BipartiteMatcher
Assigner<T> - Interface in com.bakdata.dedupe.matching: Implements an algorithm that solves an assignment problem.
assignMaterialized(Collection<WeightedEdge<T>>) - Method in interface com.bakdata.dedupe.matching.Assigner: Finds the set of edges forming a matching that maximizes the sum of the edge weights.
assumeEqualValue() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: A no-op conflict resolution that will eventually lead to a FusionException, when values are not resolved.

B

beiderMorse() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a normalizer that turns strings into the beider morse code.
bigram() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a tokenizer for a string into bigrams; that is, two succeeding characters.
binarize() - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Binarizes the similarity returned by this similarity, such that all values >0 result in a similarity of 1.
BipartiteMatcher<T> - Interface in com.bakdata.dedupe.matching: Implements an algorithm that finds a matching in a bipartite graph.
breakEngangement(Integer, Integer) - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
build() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
build() - Method in class com.bakdata.dedupe.classifier.ClassificationResult.ClassificationResultBuilder
build() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate.ClassifiedCandidateBuilder
build() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
build() - Method in class com.bakdata.dedupe.clustering.Cluster.ClusterBuilder
build() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering.ConsistentClusteringBuilder
build() - Method in class com.bakdata.dedupe.clustering.RefineCluster.RefineClusterBuilder
build() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
build() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure.TransitiveClosureBuilder
build() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder
build() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
build() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
build() - Method in class com.bakdata.dedupe.fusion.FusionContext.FusionContextBuilder
build() - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
build() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
build() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder
build() - Method in class com.bakdata.dedupe.similarity.SimilarityContext.SimilarityContextBuilder
build() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
builder() - Static method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod
builder() - Static method in class com.bakdata.dedupe.classifier.ClassificationResult
builder() - Static method in class com.bakdata.dedupe.classifier.ClassifiedCandidate
builder() - Static method in class com.bakdata.dedupe.classifier.RuleBasedClassifier
builder() - Static method in class com.bakdata.dedupe.clustering.Cluster
builder() - Static method in class com.bakdata.dedupe.clustering.ConsistentClustering
builder() - Static method in class com.bakdata.dedupe.clustering.RefineCluster
builder() - Static method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
builder() - Static method in class com.bakdata.dedupe.clustering.TransitiveClosure
builder() - Static method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection
builder() - Static method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection
builder() - Static method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion
builder() - Static method in class com.bakdata.dedupe.fusion.FusionContext
builder() - Static method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
builder() - Static method in class com.bakdata.dedupe.similarity.SimilarityContext
builder() - Static method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure

C

CachingSimilarity<T,I> - Class in com.bakdata.dedupe.similarity: A light-weight caching layer over SimilarityMeasure to allow implementations to repeatedly calculate expensive similarities without implementing a cache on their own.
CachingSimilarity(SimilarityMeasure<T>, Function<T, I>) - Constructor for class com.bakdata.dedupe.similarity.CachingSimilarity
calculated(T) - Static method in class com.bakdata.dedupe.fusion.AnnotatedValue: Wraps the given value with a calculated source and the current timestamp.
calculateNonEmptyCollectionSimilarity(C, C, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.CollectionSimilarityMeasure: Calculates the similarity ignoring the trivial cases of empty input collections.
calculateNonEmptyCollectionSimilarity(C, C, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.CosineSimilarityMeasure
calculateNonEmptyCollectionSimilarity(C, C, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
calculateNonEmptyCollectionSimilarity(C, C, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.SetSimilarityMeasure
calculateNonEmptySetSimilarity(Set<E>, Set<E>, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.SetSimilarityMeasure: Calculates the similarity ignoring the trivial cases of empty input collections.
candidate(Candidate<T>) - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate.ClassifiedCandidateBuilder
Candidate<T> - Interface in com.bakdata.dedupe.candidate_selection: Represents a candidate pair that was generated with an OfflineCandidateSelection.
candidateSelection(OnlineCandidateSelection<T>) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
CandidateSelection<T> - Interface in com.bakdata.dedupe.candidate_selection: Selects candidates from a static or dynamic dataset accessible through Iterables.
canEqual(Object) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass
canEqual(Object) - Method in class com.bakdata.dedupe.clustering.Cluster
canEqual(Object) - Method in class com.bakdata.dedupe.matching.StronglyStableMarriage
canEqual(Object) - Method in class com.bakdata.dedupe.matching.WeaklyStableMarriage
checkSplit(Collection<? extends Cluster<C, T>>, T) - Method in interface com.bakdata.dedupe.clustering.ClusterSplitHandler: Checks if the given set of clusters contains more than element and invokes ClusterSplitHandler.clusterSplit(Cluster, List).
classification(Classification) - Method in class com.bakdata.dedupe.classifier.ClassificationResult.ClassificationResultBuilder
Classification - Enum in com.bakdata.dedupe.classifier: Contains the possible classification classes.
ClassificationException - Exception in com.bakdata.dedupe.classifier: An exception thrown by a Classifier whenever an exception during classification occurred.
ClassificationException() - Constructor for exception com.bakdata.dedupe.classifier.ClassificationException
ClassificationException(String) - Constructor for exception com.bakdata.dedupe.classifier.ClassificationException
ClassificationException(String, Throwable) - Constructor for exception com.bakdata.dedupe.classifier.ClassificationException
ClassificationException(String, Throwable, boolean, boolean) - Constructor for exception com.bakdata.dedupe.classifier.ClassificationException
ClassificationException(Throwable) - Constructor for exception com.bakdata.dedupe.classifier.ClassificationException
classificationResult(ClassificationResult) - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate.ClassifiedCandidateBuilder
ClassificationResult - Class in com.bakdata.dedupe.classifier: The classification of a Candidate with additional information.
ClassificationResult.ClassificationResultBuilder - Class in com.bakdata.dedupe.classifier
ClassifiedCandidate<T> - Class in com.bakdata.dedupe.classifier: Contains a ClassificationResult with the corresponding Candidate.
ClassifiedCandidate(Candidate<T>, ClassificationResult) - Constructor for class com.bakdata.dedupe.classifier.ClassifiedCandidate
ClassifiedCandidate.ClassifiedCandidateBuilder<T> - Class in com.bakdata.dedupe.classifier
classifier(Classifier<T>) - Method in class com.bakdata.dedupe.clustering.RefineCluster.RefineClusterBuilder
classifier(Classifier<T>) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
Classifier<T> - Interface in com.bakdata.dedupe.classifier: Classifies a OnlineCandidate as duplicate, non-duplicate, or other Classifications.
classify(Candidate<T>) - Method in interface com.bakdata.dedupe.classifier.Classifier: Classifies the OnlineCandidate as duplicate, non-duplicate, or other Classifications.
classify(Candidate<T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier
classify(Candidate<T>) - Method in class com.bakdata.dedupe.classifier.OracleClassifier
classifyCandidate(Candidate<T>) - Method in interface com.bakdata.dedupe.classifier.Classifier: Classifies the Candidate as duplicate, non-duplicate, or other Classifications and stores the ClassificationResult together with the candidate.
clearPasses() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
clearRules() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
clearSources() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
clearWeightedSimilarities() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
closure(TransitiveClosure<C, T, I>) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
cluster(Stream<ClassifiedCandidate<T>>) - Method in interface com.bakdata.dedupe.clustering.Clustering: Creates a coherent Cluster from a list of ClassifiedCandidates.
cluster(Stream<ClassifiedCandidate<T>>) - Method in class com.bakdata.dedupe.clustering.ConsistentClustering
cluster(Stream<ClassifiedCandidate<T>>) - Method in class com.bakdata.dedupe.clustering.OracleClustering
cluster(Stream<ClassifiedCandidate<T>>) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
cluster(Stream<ClassifiedCandidate<T>>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
Cluster<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.clustering: A cluster is a coherent collection of duplicate records.
Cluster(C) - Constructor for class com.bakdata.dedupe.clustering.Cluster
Cluster(C, List<T>) - Constructor for class com.bakdata.dedupe.clustering.Cluster
Cluster.ClusterBuilder<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.clustering
clusterDuplicates(Iterable<? extends Candidate<T>>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
clusterIdGenerator(Function<? super Iterable<? extends T>, C>) - Method in class com.bakdata.dedupe.clustering.RefineCluster.RefineClusterBuilder
clusterIdGenerator(Function<? super Iterable<? extends T>, C>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure.TransitiveClosureBuilder
ClusterIdGenerators - Class in com.bakdata.dedupe.clustering: A collection of typical cluster id generators.
clusterIndex(Map<I, Cluster<C, T>>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure.TransitiveClosureBuilder
clustering(Clustering<C, T>) - Method in class com.bakdata.dedupe.clustering.ConsistentClustering.ConsistentClusteringBuilder
clustering(Clustering<C, T>) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
Clustering<C extends java.lang.Comparable<C>,T> - Interface in com.bakdata.dedupe.clustering: A clustering algorithm takes a list of ClassifiedCandidates and creates a coherent Cluster, such that all pairs of records inside the cluster are duplicate and no record outside the cluster is a duplicate with any record inside the cluster.
Clusters - Class in com.bakdata.dedupe.clustering: Utility methods for Cluster
clusterSplit(Cluster<C, T>, List<Cluster<C, T>>) - Method in interface com.bakdata.dedupe.clustering.ClusterSplitHandler: Invoked when an already existing cluster is split up during the Clustering of (online) deduplication.
ClusterSplitHandler<C extends java.lang.Comparable<C>,T> - Interface in com.bakdata.dedupe.clustering: A callback that is invoked when an already existing cluster is split up during the Clustering of (online) deduplication.
codec(StringEncoder) - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Wraps a StringEncoder into a ValueTransformation.
CollectionSimilarityMeasure<C extends java.util.Collection<? extends E>,E> - Interface in com.bakdata.dedupe.similarity: A SimilarityMeasure that is defined over Collections.
colognePhonetic() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a normalizer that turns strings into the cologne phonetics.
com.bakdata.dedupe.candidate_selection - package com.bakdata.dedupe.candidate_selection: Base data structured shared by online and offline candidate selections that choose promising pairs to limit search space for duplicates.
com.bakdata.dedupe.candidate_selection.offline - package com.bakdata.dedupe.candidate_selection.offline: Interfaces and implementations for offline candidate selections that choose promising pairs to limit search space for duplicates in a materialized dataset.
com.bakdata.dedupe.candidate_selection.online - package com.bakdata.dedupe.candidate_selection.online: Interfaces and implementations for online candidate selections that choose promising pairs to limit search space for duplicates in a streaming dataset.
com.bakdata.dedupe.classifier - package com.bakdata.dedupe.classifier: Interfaces, data structures, and implementations for the classification of Candidate pairs into duplicates and non-duplicates.
com.bakdata.dedupe.clustering - package com.bakdata.dedupe.clustering: Clusters ClassifiedCandidates into coherent clusters.
com.bakdata.dedupe.deduplication - package com.bakdata.dedupe.deduplication: Provides interfaces and implementations for a full deduplication process, which ensures that no duplicate record is emitted.
com.bakdata.dedupe.deduplication.offline - package com.bakdata.dedupe.deduplication.offline: Full offline deduplication for materialized data.
com.bakdata.dedupe.deduplication.online - package com.bakdata.dedupe.deduplication.online: Full online deduplication for streaming data.
com.bakdata.dedupe.duplicate_detection - package com.bakdata.dedupe.duplicate_detection: Provides base interfaces and implementations for finding duplicate clusters.
com.bakdata.dedupe.duplicate_detection.offline - package com.bakdata.dedupe.duplicate_detection.offline: Offline duplicate detection to find duplicate clusters in materialized data.
com.bakdata.dedupe.duplicate_detection.online - package com.bakdata.dedupe.duplicate_detection.online: Online duplicate detection to find duplicate clusters in streaming data.
com.bakdata.dedupe.fusion - package com.bakdata.dedupe.fusion: Provides means to reconcile a duplicate cluster into a consistent representation.
com.bakdata.dedupe.matching - package com.bakdata.dedupe.matching: Assigns and matches nodes of a bipartite graph.
com.bakdata.dedupe.similarity - package com.bakdata.dedupe.similarity: Data structures, interfaces, and implementations to define similarity measures that are ultimately used to detect duplicates.
com.bakdata.util - package com.bakdata.util: Utility classes that should not be deemed public API.
CommonConflictResolutions - Class in com.bakdata.dedupe.fusion: Provides factory methods for common conflict resolutions.
CommonSimilarityMeasures - Class in com.bakdata.dedupe.similarity: A utility class that offers factory methods for common similarity measures.
CommonTransformations - Class in com.bakdata.dedupe.similarity: A utility class that offers factory methods for common similarity transformations.
compareTo(CompositeValue<T1, T2>) - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue
compose(T1, T2) - Static method in class com.bakdata.dedupe.candidate_selection.CompositeValue: Creates a composite value of the two values.
CompositeValue<T1 extends java.lang.Comparable<T1>,T2 extends java.lang.Comparable<T2>> - Class in com.bakdata.dedupe.candidate_selection: Helper for composed (sorting) keys, which will perform position-wise comparison of the key elements.
CompositeValue(T1, T2) - Constructor for class com.bakdata.dedupe.candidate_selection.CompositeValue
confidence(double) - Method in class com.bakdata.dedupe.classifier.ClassificationResult.ClassificationResultBuilder
ConflictResolution<I,O> - Interface in com.bakdata.dedupe.fusion: Solves a conflict during resolution - two or more different values that need to be merged into a single value for the fused representation.
ConflictResolutionFusion<R> - Class in com.bakdata.dedupe.fusion: A fusion approach based on conflict resolution.
ConflictResolutionFusion.ConflictResolutionFusionBuilder<R> - Class in com.bakdata.dedupe.fusion
ConsistentClustering<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering: Wraps another clustering and keeps clusters together, when the wrapped clustering would split it.
Example: consider a stable marriage-based clustering where A1-B have been previously matched and subsequently clustered.
ConsistentClustering.ConsistentClusteringBuilder<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering
contains(T) - Method in class com.bakdata.dedupe.clustering.Cluster
contextSupplier(Supplier<SimilarityContext>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
convertingBack(ConflictResolution<I, F>) - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
convertingWith(ConflictResolution<F, I>) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
convertingWith(ConflictResolution<F, I>) - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
corresponding(ResolutionTag<?>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Retains all values coming from the same source as the values resolved by the ResolutionTag.
corresponding(ResolutionTag<?>) - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
correspondingToPrevious() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
cosine() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Calculates the cosine similarity measure over two bags of elements.
CosineSimilarityMeasure<C extends java.util.Collection<? extends E>,E> - Class in com.bakdata.dedupe.similarity: Calculates the cosine similarity measure over two bags of elements.
CosineSimilarityMeasure() - Constructor for class com.bakdata.dedupe.similarity.CosineSimilarityMeasure
createMatcher(List<? extends Queue<List<Integer>>>, List<? extends Queue<List<Integer>>>) - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage
createMatcher(List<? extends Queue<List<Integer>>>, List<? extends Queue<List<Integer>>>) - Method in class com.bakdata.dedupe.matching.StronglyStableMarriage
createMatcher(List<? extends Queue<List<Integer>>>, List<? extends Queue<List<Integer>>>) - Method in class com.bakdata.dedupe.matching.WeaklyStableMarriage
cutoff(double) - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure
cutoff(double) - Method in class com.bakdata.dedupe.similarity.Levenshtein
cutoff(double) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Cuts the similarity returned by this similarity, such that all values <threshold result in a similarity of 0, and all values [threshold, 1] are left untouched.
cutoff(double) - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
cutoff(double, double) - Static method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure: Cuts the similarity, such that all values <threshold result in a similarity of 0, and all values [threshold, 1] are left untouched.
CutoffSimiliarityMeasure<T> - Class in com.bakdata.dedupe.similarity: Cuts the similarity returned by this similarity, such that all values <threshold result in a similarity of 0, and all values [threshold, 1] are left untouched.
CutoffSimiliarityMeasure(SimilarityMeasure<T>, double) - Constructor for class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure

D

deduplicate(Stream<? extends T>) - Method in interface com.bakdata.dedupe.deduplication.Deduplication: Deduplicates the dataset.
deduplicate(Stream<? extends T>) - Method in interface com.bakdata.dedupe.deduplication.online.OnlineDeduplication
deduplicate(T) - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection
deduplicate(T) - Method in interface com.bakdata.dedupe.deduplication.online.OnlineDeduplication: Deduplicates the record with all previously seen records.
Deduplication<T> - Interface in com.bakdata.dedupe.deduplication: A full deduplication process, which ensures that no duplicate record is emitted.
defaultClassificationResult(ClassificationResult) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
defaultRule(SimilarityMeasure<? super T>, double) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a threshold rule named "default" that is always applied.
defaultWindowSize(int) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
delete(Integer, Integer) - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
demoteToNonDuplicate() - Static method in interface com.bakdata.dedupe.duplicate_detection.PossibleDuplicateHandler: Treats possible duplicates as non-duplicates.
detectDuplicates(Stream<? extends T>) - Method in interface com.bakdata.dedupe.duplicate_detection.DuplicateDetection: Finds all duplicates in the dataset.
detectDuplicates(Stream<? extends T>) - Method in interface com.bakdata.dedupe.duplicate_detection.online.OnlineDuplicateDetection
detectDuplicates(T) - Method in interface com.bakdata.dedupe.duplicate_detection.online.OnlineDuplicateDetection: Returns all clusters that have been affected by the new record.
detectDuplicates(T) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection
distinct() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Returns the list of values that are unique.
doesNotApply() - Static method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule: Indicates that this similarity measure can not be applied (e.g., precondition not satisfied).
dontFuse() - Static method in interface com.bakdata.dedupe.fusion.IncompleteFusionHandler
DUPLICATE - com.bakdata.dedupe.classifier.Classification: A sure duplicate.
duplicateDetection(OnlineDuplicateDetection<C, T>) - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder
DuplicateDetection<C extends java.lang.Comparable<C>,T> - Interface in com.bakdata.dedupe.duplicate_detection: A duplicate detection algorithm processes a dataset of records and returns the distinct Clusters.

E

earliest() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values with the same earliest AnnotatedValue.getDateTime().
elements(List<T>) - Method in class com.bakdata.dedupe.clustering.Cluster.ClusterBuilder
engagements - Variable in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
equality() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: A similarity measure that is 1 if left.equals(right) or 0 otherwise.
equality(SimilarityMeasure<T>) - Static method in class com.bakdata.dedupe.similarity.CachingSimilarity: Creates a cache based on the object equality; that is, the cache triggers if two equal instances are compared.
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass
equals(Object) - Method in class com.bakdata.dedupe.candidate_selection.SortingKey
equals(Object) - Method in class com.bakdata.dedupe.classifier.ClassificationResult
equals(Object) - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate
equals(Object) - Method in class com.bakdata.dedupe.classifier.OracleClassifier
equals(Object) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier
equals(Object) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
equals(Object) - Method in class com.bakdata.dedupe.clustering.Cluster
equals(Object) - Method in class com.bakdata.dedupe.clustering.ConsistentClustering
equals(Object) - Method in class com.bakdata.dedupe.clustering.OracleClustering
equals(Object) - Method in class com.bakdata.dedupe.clustering.RefineCluster
equals(Object) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
equals(Object) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
equals(Object) - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection
equals(Object) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection
equals(Object) - Method in class com.bakdata.dedupe.fusion.AnnotatedValue
equals(Object) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion
equals(Object) - Method in class com.bakdata.dedupe.fusion.FusedValue
equals(Object) - Method in class com.bakdata.dedupe.fusion.FusionContext
equals(Object) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
equals(Object) - Method in class com.bakdata.dedupe.fusion.Merge
equals(Object) - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
equals(Object) - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
equals(Object) - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
equals(Object) - Method in class com.bakdata.dedupe.fusion.ResolutionTag
equals(Object) - Method in class com.bakdata.dedupe.fusion.Source
equals(Object) - Method in class com.bakdata.dedupe.matching.StronglyStableMarriage
equals(Object) - Method in class com.bakdata.dedupe.matching.WeaklyStableMarriage
equals(Object) - Method in class com.bakdata.dedupe.matching.WeightedEdge
equals(Object) - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
equals(Object) - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
equals(Object) - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure
equals(Object) - Method in class com.bakdata.dedupe.similarity.Levenshtein
equals(Object) - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
equals(Object) - Method in class com.bakdata.dedupe.similarity.SimilarityContext
equals(Object) - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
equals(Object) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
equals(Object) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
equals(Object) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
equals(Object) - Method in class com.bakdata.util.ExceptionContext
equals(Object) - Method in class com.bakdata.util.FunctionalClass
equals(Object) - Method in class com.bakdata.util.FunctionalConstructor
equals(Object) - Method in class com.bakdata.util.FunctionalMethod
equals(Object) - Method in class com.bakdata.util.FunctionalProperty
ExceptionContext - Class in com.bakdata.util: The exception context allows the safe execution of code that may throw an exception.
ExceptionContext() - Constructor for class com.bakdata.util.ExceptionContext
explanation(String) - Method in class com.bakdata.dedupe.classifier.ClassificationResult.ClassificationResultBuilder

F

field(FunctionalProperty<R, F>) - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
field(FunctionalProperty<R, F2>) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
field(String) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
field(String) - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
field(String) - Method in class com.bakdata.util.FunctionalClass: Returns the functional field with the given name.
field(Function<R, F>, BiConsumer<R, F>) - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
field(Function<R, F2>, BiConsumer<R, F2>) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
FieldMergeBuilder(Merge.MergeBuilder<R>, Function<R, F>, BiConsumer<R, F>) - Constructor for class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
first() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Picks a the first value out of the bag of values.
first(SimilarityMeasure<? super T>...) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the first similarity of the given similarity measures that is not SimilarityMeasure.unknown().
first(Iterable<? extends SimilarityMeasure<? super T>>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the first similarity of the given similarity measures that is not SimilarityMeasure.unknown().
FunctionalClass<T> - Class in com.bakdata.util: A wrapper around Class that can be used to extract callable lambdas to methods and fields.
FunctionalConstructor<T> - Class in com.bakdata.util: A lambda wrapper around the no-arg constructor of a class.
FunctionalConstructor(Constructor<T>) - Constructor for class com.bakdata.util.FunctionalConstructor
FunctionalMethod<T> - Class in com.bakdata.util: A lambda wrapper around the a method of a class.
FunctionalMethod(Method) - Constructor for class com.bakdata.util.FunctionalMethod
FunctionalProperty<T,F> - Class in com.bakdata.util: A lambda wrapper around the a property of a class.
FunctionalProperty(PropertyDescriptor) - Constructor for class com.bakdata.util.FunctionalProperty
fuse(Cluster<?, T>) - Method in interface com.bakdata.dedupe.fusion.Fusion: Fuses a cluster of duplicates to one representation.
fuse(Cluster<?, R>) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion
fusedValue(Cluster<?, T>, IncompleteFusionHandler<T>) - Method in interface com.bakdata.dedupe.fusion.Fusion: Returns the fused value for a cluster of duplicates.
FusedValue<T> - Class in com.bakdata.dedupe.fusion: A fused value with contextual information.
FusedValue(T, Cluster<?, T>, List<Exception>) - Constructor for class com.bakdata.dedupe.fusion.FusedValue
FusingOnlineDuplicateDetection<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.deduplication.online: A full online deduplication process, which Retrieves duplicate clusters through OnlineDeduplication. Fuses the duplicate clusters into reconciled records.
FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.deduplication.online
fusion(Fusion<T>) - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder
Fusion<T> - Interface in com.bakdata.dedupe.fusion: Fuses a cluster of duplicates to one representation.
FusionContext - Class in com.bakdata.dedupe.fusion: A fusion context captures exceptions in an ExceptionContext during resolution and provides additional context values.
FusionContext.FusionContextBuilder - Class in com.bakdata.dedupe.fusion
FusionException - Exception in com.bakdata.dedupe.fusion: An exception thrown by a ConflictResolution whenever an exception during fusion occurs.
FusionException() - Constructor for exception com.bakdata.dedupe.fusion.FusionException
FusionException(String) - Constructor for exception com.bakdata.dedupe.fusion.FusionException
FusionException(String, Throwable) - Constructor for exception com.bakdata.dedupe.fusion.FusionException
FusionException(String, Throwable, boolean, boolean) - Constructor for exception com.bakdata.dedupe.fusion.FusionException
FusionException(Throwable) - Constructor for exception com.bakdata.dedupe.fusion.FusionException

G

get(int) - Method in class com.bakdata.dedupe.clustering.Cluster
getAggregator() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure: The aggregator that will be applied on the similarity values.
getAggregator() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
getBipartiteMatcher() - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
getCalculated() - Static method in class com.bakdata.dedupe.fusion.Source: A tag to indicate that the respective value has no real source as it has been created during conflict resolution.
getCandidate() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate: The classified candidate.
getCandidateSelection() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection: The candidate selection which returns a list of candidates for each new record.
getClassification() - Method in class com.bakdata.dedupe.classifier.ClassificationResult: The classification.
getClassificationResult() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate: The resulting classification.
getClassifier() - Method in class com.bakdata.dedupe.clustering.RefineCluster: The classifier used to score the edges.
getClassifier() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection: Classifier to label the candidates.
getClazz() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
getClazz() - Method in class com.bakdata.util.FunctionalClass: The wrapped class.
getClosure() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure: The underlying transitive closure implementation.
getClusterIdGenerator() - Method in interface com.bakdata.dedupe.clustering.Clustering: The cluster id generator that is used to create an id for a new cluster.
getClusterIdGenerator() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering
getClusterIdGenerator() - Method in class com.bakdata.dedupe.clustering.OracleClustering
getClusterIdGenerator() - Method in class com.bakdata.dedupe.clustering.RefineCluster: A function to generate the id for newly split clusters.
getClusterIdGenerator() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
getClusterIdGenerator() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure: A function to generate the id for newly formed clusters.
getClusterIndex() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure: A backing map for old clusters.
getClustering() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering: The wrapped clustering.
getClustering() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection: Clustering algorithm to form coherent clusters of labeled duplicates.
getConfidence() - Method in class com.bakdata.dedupe.classifier.ClassificationResult: Some confidence value that depends on the Classifier implementation.
getConstructor() - Method in class com.bakdata.util.FunctionalClass: Returns the no-arg constructor as a Supplier.
getContainingCluster(Iterator<? extends Cluster<C, T>>, T) - Static method in class com.bakdata.dedupe.clustering.Clusters: Finds the cluster containing a given record and assures that there is exactly one.
getContextSupplier() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier: Factory that creates the SimilarityContext before classifying an incoming Candidate.
getCtor() - Method in class com.bakdata.dedupe.fusion.Merge
getCtor() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
getCtor() - Method in class com.bakdata.util.FunctionalConstructor: The no-arg constructor
getDateTime() - Method in class com.bakdata.dedupe.fusion.AnnotatedValue: The time of creation/modification.
getDefaultClassificationResult() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier: Fallback value, when no rule applied.
getDefaultWindowSize() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod: The default window size, when not explicitly given.
getDescriptor() - Method in class com.bakdata.util.FunctionalProperty: The wrapped property.
getDuplicateDetection() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection: The duplicate detection returning duplicate clusters.
getElements() - Method in class com.bakdata.dedupe.clustering.Cluster: The list of elements.
getExceptionContext() - Method in class com.bakdata.dedupe.fusion.FusionContext
getExceptionContext() - Method in class com.bakdata.dedupe.similarity.SimilarityContext: The exception context.
getExceptions() - Method in class com.bakdata.dedupe.fusion.FusedValue: All exceptions that occurred during fusion.
getExceptions() - Method in class com.bakdata.dedupe.fusion.FusionContext
getExceptions() - Method in class com.bakdata.dedupe.similarity.SimilarityContext
getExceptions() - Method in class com.bakdata.util.ExceptionContext: The captured exceptions.
getExplanation() - Method in class com.bakdata.dedupe.classifier.ClassificationResult: Additional explanation for humans, such as the similarity and threshold (0.933 >= 0.9) or the name of a rule that triggered.
getFieldMergeBuilder() - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
getFieldMerges() - Method in class com.bakdata.dedupe.fusion.Merge
getFieldMerges() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
getFirst() - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue: The first element.
getFirst() - Method in class com.bakdata.dedupe.matching.WeightedEdge: The first vertex.
getFusion() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection: The fusion implementation that reconciles the clusters into new records.
getGetter() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
getGetter() - Method in class com.bakdata.util.FunctionalProperty: Returns the getter as a Function that takes the instance as a parameter.
getGoldClusters() - Method in class com.bakdata.dedupe.clustering.OracleClustering: The gold clustering.
getGoldDuplicates() - Method in class com.bakdata.dedupe.classifier.OracleClassifier: The set of real duplicates.
getId() - Method in class com.bakdata.dedupe.clustering.Cluster: The identifier of the cluster.
getIdExtractor() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering: A function to extract the id of a record for efficient, internal data structures.
getIdExtractor() - Method in class com.bakdata.dedupe.clustering.OracleClustering: A function to extract the id of a record for efficient, internal data structures.
getIdExtractor() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure: Extracts the id of the record.
getIdExtractor() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure: Extracts the id of the record.
getIdExtractor() - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
getIncompleteFusionHandler() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection: A callback for non-trivial clusters.
getInner() - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
getInner() - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure: The similarity measure that is applied first before applying the threshold.
getKeyExtractor() - Method in class com.bakdata.dedupe.candidate_selection.SortingKey: A calculation or simple value access to extract the key.
getLastModifiedExtractor() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion: A function that extract the last modification timestamp of a record.
getMaxSmallClusterSize() - Method in class com.bakdata.dedupe.clustering.RefineCluster: The maximum size (inclusive) of a cluster.
getMeasure() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
getMeasure() - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
getMeasure() - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure: The similarity measure to apply on the transformed values.
getMeasure() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
getMergeBuilder() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
getMethod() - Method in class com.bakdata.util.FunctionalMethod: The wrapped method.
getName() - Method in class com.bakdata.dedupe.candidate_selection.SortingKey: The name of the sorting key.
getName() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
getName() - Method in class com.bakdata.dedupe.fusion.ResolutionTag: The name of the tag for debugging.
getName() - Method in class com.bakdata.dedupe.fusion.Source: The name of the source (mostly for debugging).
getNewRecord() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate: The new record that triggered the OnlineCandidateSelection.
getNextFreeMen() - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
getNonNullSimilarity(CharSequence, CharSequence, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.Levenshtein
getNonNullSimilarity(C, C, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.CollectionSimilarityMeasure
getNonNullSimilarity(R, R, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
getNonNullSimilarity(T, T, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
getNonNullSimilarity(T, T, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
getNonNullSimilarity(T, T, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure
getNonNullSimilarity(T, T, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Calculates the similarity of the left and right value.
getNonNullSimilarity(T, T, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
getOldClusterIndex() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure: A backing map for old clusters.
getOldRecord() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate: The old record already known to the OnlineCandidateSelection.
getOriginalValues() - Method in class com.bakdata.dedupe.fusion.FusedValue: The original values.
getPairMeasure() - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
getPasses() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod: The different passes used to select the candidates.
getPossibleDuplicateHandler() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection: A callback for Classification.POSSIBLE_DUPLICATEs.
getRecord1() - Method in interface com.bakdata.dedupe.candidate_selection.Candidate: Returns the first record.
getRecord1() - Method in class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate: The first record.
getRecord1() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
getRecord2() - Method in interface com.bakdata.dedupe.candidate_selection.Candidate: Returns the second record.
getRecord2() - Method in class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate: The second record.
getRecord2() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
getRefineCluster() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure: The configured refineCluster.
getResolution() - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
getRootResolution() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion: The root resolution function; usually, Merge.
getRules() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier: The set of rules that are applied in the order of addition.
getSecond() - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue: The first second.
getSecond() - Method in class com.bakdata.dedupe.matching.WeightedEdge: The second vertex.
getSetter() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
getSetter() - Method in class com.bakdata.util.FunctionalProperty: Returns the setter as a Function that takes the instance and the new value as parameters.
getSimilarity(T, T, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Calculates the similarity of the left and right value.
getSimilarityForNull(T, T, SimilarityContext) - Method in class com.bakdata.dedupe.similarity.SimilarityContext: Calculates the similarity when any of the two values under comparison is null.
getSimilarityMeasureForNull() - Method in class com.bakdata.dedupe.similarity.SimilarityContext: The similarity measure to use when any of the two values under comparison is null.
getSimilarityMeasures() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure: The similarity measures that will successively applied on the input values.
getSortingKey() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass: The sorting key to use in this pass.
getSource() - Method in class com.bakdata.dedupe.fusion.AnnotatedValue: The source of the value.
getSourceExtractor() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion: Finds the name of the source, which can then be used to retrieve the respective source from ConflictResolutionFusion.getSources().
getSources() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion: The list of possible sources.
getSplitHandler() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure: A callback that may veto cluster splits.
getStableMatches() - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
getStableMatches() - Method in interface com.bakdata.dedupe.matching.AbstractStableMarriage.Matcher
getStoredValues() - Method in class com.bakdata.dedupe.fusion.FusionContext
getStrictSuccessors(Queue<List<Integer>>, Integer) - Static method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
getSuccessors(Queue<List<Integer>>, Integer) - Static method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
getTail(Queue<List<Integer>>, Integer) - Static method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
getThreshold() - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure: The threshold that divides the dissimilar and the similar values.
getThreshold() - Method in class com.bakdata.dedupe.similarity.Levenshtein: The threshold [0; 1], below which the calculation should be aborted.
getTransformation() - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure: The transformation that is applied to both inputs before calculating the similarity.
getUnknown() - Static method in class com.bakdata.dedupe.fusion.Source: The unknown source is used whenever source extraction in Fusion failed.
getValue() - Method in class com.bakdata.dedupe.fusion.AnnotatedValue: The wrapped value.
getValue() - Method in class com.bakdata.dedupe.fusion.FusedValue: The resulting value.
getValue() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
getWeight() - Method in class com.bakdata.dedupe.fusion.Source: The weight of the source, mostly used for weighted majority voting.
getWeight() - Method in class com.bakdata.dedupe.matching.WeightedEdge: The weight.
getWeight() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
getWeight() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
getWeightedSimilarities() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
getWeightedValue() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
getWindowSize() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass: The window >= 2.

H

handlePartiallyFusedValue(FusedValue<T>) - Method in interface com.bakdata.dedupe.fusion.IncompleteFusionHandler
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass
hashCode() - Method in class com.bakdata.dedupe.candidate_selection.SortingKey
hashCode() - Method in class com.bakdata.dedupe.classifier.ClassificationResult
hashCode() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate
hashCode() - Method in class com.bakdata.dedupe.classifier.OracleClassifier
hashCode() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier
hashCode() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
hashCode() - Method in class com.bakdata.dedupe.clustering.Cluster
hashCode() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering
hashCode() - Method in class com.bakdata.dedupe.clustering.OracleClustering
hashCode() - Method in class com.bakdata.dedupe.clustering.RefineCluster
hashCode() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
hashCode() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
hashCode() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection
hashCode() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection
hashCode() - Method in class com.bakdata.dedupe.fusion.AnnotatedValue
hashCode() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion
hashCode() - Method in class com.bakdata.dedupe.fusion.FusedValue
hashCode() - Method in class com.bakdata.dedupe.fusion.FusionContext
hashCode() - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
hashCode() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
hashCode() - Method in class com.bakdata.dedupe.fusion.Merge
hashCode() - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
hashCode() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
hashCode() - Method in class com.bakdata.dedupe.fusion.ResolutionTag
hashCode() - Method in class com.bakdata.dedupe.fusion.Source
hashCode() - Method in class com.bakdata.dedupe.matching.StronglyStableMarriage
hashCode() - Method in class com.bakdata.dedupe.matching.WeaklyStableMarriage
hashCode() - Method in class com.bakdata.dedupe.matching.WeightedEdge
hashCode() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
hashCode() - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
hashCode() - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure
hashCode() - Method in class com.bakdata.dedupe.similarity.Levenshtein
hashCode() - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
hashCode() - Method in class com.bakdata.dedupe.similarity.SimilarityContext
hashCode() - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
hashCode() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
hashCode() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
hashCode() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
hashCode() - Method in class com.bakdata.util.ExceptionContext
hashCode() - Method in class com.bakdata.util.FunctionalClass
hashCode() - Method in class com.bakdata.util.FunctionalConstructor
hashCode() - Method in class com.bakdata.util.FunctionalMethod
hashCode() - Method in class com.bakdata.util.FunctionalProperty

I

id(C) - Method in class com.bakdata.dedupe.clustering.Cluster.ClusterBuilder
identity(SimilarityMeasure<T>) - Static method in class com.bakdata.dedupe.similarity.CachingSimilarity: Creates a cache based on the object identity; that is, the cache only triggers if the exact same instances are compared.
idExtractor(Function<? super T, ? extends I>) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
idExtractor(Function<? super T, ? extends I>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure.TransitiveClosureBuilder
idExtractor(Function<T, I>) - Method in class com.bakdata.dedupe.clustering.ConsistentClustering.ConsistentClusteringBuilder
ignore() - Static method in interface com.bakdata.dedupe.clustering.ClusterSplitHandler: Do nothing.
IllTypedFieldMergeBuilder(Merge.FieldMergeBuilder<F, R>, ConflictResolution<F, I>) - Constructor for class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
incompleteFusionHandler(IncompleteFusionHandler<T>) - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder
IncompleteFusionHandler<T> - Interface in com.bakdata.dedupe.fusion: A callback that allows incomplete fusions to be treated either with direct repair algorithms or through side-channel means (a.k.a ignore for now and repair asynchronously with the help of domain experts).
inequality() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: A similarity measure that is 0 if left.equals(right) or 1 otherwise.
intGenerator() - Static method in class com.bakdata.dedupe.clustering.ClusterIdGenerators: Returns an id generator that generates ints starting from 0.
invoke(T, Object...) - Method in class com.bakdata.util.FunctionalMethod: Invokes the method on an instance with the given parameters.
isAmbiguous() - Method in enum com.bakdata.dedupe.classifier.Classification: Returns if this class can directly be used
isNonEmpty(Object) - Method in class com.bakdata.dedupe.fusion.FusionContext
isSymmetric() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
isSymmetric() - Method in class com.bakdata.dedupe.similarity.Levenshtein
isSymmetric() - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Returns true if sim(a, b) = sim(b, a).
isSymmetric() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
isUnknown() - Method in enum com.bakdata.dedupe.classifier.Classification
isUnknown(double) - Static method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Checks whether the supplied value is SimilarityMeasure.unknown().

J

jaccard() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Treats the input collections as sets (removing duplicate elements) and calculates the size of the intersection over the size of the union.
jaroWinkler() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Jaro-Winkler similarity counts the number of matched and transposed characters with a boost for initial characters.

K

keep() - Static method in interface com.bakdata.dedupe.duplicate_detection.PossibleDuplicateHandler: Ignores possible duplicates and returns them as is, which will most likely result in dropping them.

L

last() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Picks a the last value out of the bag of values.
last(Iterable<? extends SimilarityMeasure<? super T>>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the last similarity of the given similarity measures that is not SimilarityMeasure.unknown().
last(SimilarityMeasure<? super T>...) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the last similarity of the given similarity measures that is not SimilarityMeasure.unknown().
lastModifiedExtractor(Function<R, LocalDateTime>) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
latest() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values with the same latest AnnotatedValue.getDateTime().
levenshtein() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the Levenshtein similarity measure.
Levenshtein<T extends java.lang.CharSequence> - Class in com.bakdata.dedupe.similarity: Provides the Levenshtein similarity calculation, which calculates the number of insertions, deletions, and replacements needed to transform one string into another.
Levenshtein(double) - Constructor for class com.bakdata.dedupe.similarity.Levenshtein
longest() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values with the same longest length.
longGenerator() - Static method in class com.bakdata.dedupe.clustering.ClusterIdGenerators: Returns an id generator that generates longs starting from 0.

M

match() - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
match(Collection<WeightedEdge<T>>, Collection<WeightedEdge<T>>) - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage
match(Collection<WeightedEdge<T>>, Collection<WeightedEdge<T>>) - Method in interface com.bakdata.dedupe.matching.BipartiteMatcher: Finds the set of edges forming a matching that maximizes the sum of the edge weights.
matching(BipartiteMatcher<E>, SimilarityMeasure<? super E>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Uses the given pair SimilarityMeasure to calculate a preference matrix and uses the BipartiteMatcher to find the best matching entries.
MatchingSimilarity<C extends java.util.Collection<? extends E>,E> - Class in com.bakdata.dedupe.similarity: A similarity measure that finds the best matches between two bags of entities and calculates an overall similarity by summing the similarity of these matches and normalize it over the (max) number of elements per collection.
MatchingSimilarity(BipartiteMatcher<E>, SimilarityMeasure<E>) - Constructor for class com.bakdata.dedupe.similarity.MatchingSimilarity
matchMaterialized(Collection<WeightedEdge<T>>, Collection<WeightedEdge<T>>) - Method in interface com.bakdata.dedupe.matching.BipartiteMatcher: Finds the set of edges forming a matching that maximizes the sum of the edge weights.
materializedDeduplicate(Iterable<? extends T>) - Method in interface com.bakdata.dedupe.deduplication.Deduplication: Deduplicates the dataset.
materializedDeduplicate(Iterable<? extends T>, Function<? super T, Object>) - Method in interface com.bakdata.dedupe.deduplication.Deduplication: Selects the candidates for the given records and materializes them.
materializeDuplicates(Iterable<? extends T>) - Method in interface com.bakdata.dedupe.duplicate_detection.DuplicateDetection: Finds all duplicates in the dataset.
max() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values that a maximal.
max(SimilarityMeasure<? super T>...) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the largest similarity of the given similarity measures.
maxSmallClusterSize(int) - Method in class com.bakdata.dedupe.clustering.RefineCluster.RefineClusterBuilder
mean() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Calculates the mean value of a bag of conflicting numbers.
mean(SimilarityMeasure<? super T>...) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the mean similarity of the given similarity measures.
median() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Calculates the median value of a bag of conflicting numbers.
mensFavoriteWomen - Variable in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
merge(Function<? super Iterable<? extends T>, ? extends C>, Cluster<C, ? extends T>) - Method in class com.bakdata.dedupe.clustering.Cluster: Merges this cluster with another cluster into one new cluster.
merge(Supplier<T>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Starts the creation of a Merge conflict resolution for record types.
merge(Class<T>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Starts the creation of a Merge conflict resolution for record types.
Merge<R> - Class in com.bakdata.dedupe.fusion: A nested conflict resolution for complex types.
Merge.AdditionalFieldMergeBuilder<F,R> - Class in com.bakdata.dedupe.fusion
Merge.FieldMergeBuilder<F,R> - Class in com.bakdata.dedupe.fusion
Merge.IllTypedFieldMergeBuilder<I,F,R> - Class in com.bakdata.dedupe.fusion
Merge.MergeBuilder<R> - Class in com.bakdata.dedupe.fusion
MergeBuilder(Supplier<R>, FunctionalClass<R>) - Constructor for class com.bakdata.dedupe.fusion.Merge.MergeBuilder
min() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values that a minimal.
min(SimilarityMeasure<? super T>...) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Returns the smallest similarity of the given similarity measures.
mongeElkan(SimilarityMeasure<E>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Monge-Elkan is a simple list-based similarity measure, where elements from the left are matched with elements from the right with the highest similarity within a certain index range.
mongeElkan(SimilarityMeasure<E>, int) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Monge-Elkan is a simple list-based similarity measure, where elements from the left are matched with elements from the right with the highest similarity within a certain index range.
mostFrequent() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects the most frequent values.

N

negate() - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Swaps the lower and upper bound, such that equal pairs have a similarity of 0 and unequal pairs of 1.
negate(SimilarityMeasure<T>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Swaps the lower and upper bound, such that equal pairs have a similarity of 0 and unequal pairs of 1.
negativeRule(String, SimilarityMeasure<? super T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a negative rule that is always applied.
negativeRule(String, BiPredicate<T, T>, SimilarityMeasure<? super T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a negative rule that is applied only when the precondition holds.
newInstance() - Method in class com.bakdata.util.FunctionalConstructor: Creates a new instance.
ngram(int) - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a tokenizer for a string into ngrams; that is, two or more succeeding characters.
NON_DUPLICATE - com.bakdata.dedupe.classifier.Classification: A sure non-duplicate.

O

of(ValueTransformation<O, ? extends T>) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Applies a ValueTransformation to the left and right value of a similarity comparison before applying this .
of(Class<T>) - Static method in class com.bakdata.util.FunctionalClass
of(Function<O, ? extends T>) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Applies a ValueTransformation to the left and right value of a similarity comparison before applying this .
of(Class<T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Fluent cast of the type parameter.
of(Class<T>) - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder: Fluent cast of the type parameter.
of(Class<T>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder: Fluent cast of the type parameter.
of(T1, T2) - Static method in class com.bakdata.dedupe.candidate_selection.CompositeValue: Creates a composite value of the two values.
OfflineCandidate<T> - Class in com.bakdata.dedupe.candidate_selection.offline: Represents a candidate pair that was generated with an OfflineCandidateSelection.
OfflineCandidate(T, T) - Constructor for class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate
OfflineCandidateSelection<T> - Interface in com.bakdata.dedupe.candidate_selection.offline: Selects candidates from a static dataset accessible through Iterables.
OfflineDeduplication<T> - Interface in com.bakdata.dedupe.deduplication.offline: A full offline deduplication process, which ensures that no duplicate record is in the results.
OfflineDuplicateDetection<C extends java.lang.Comparable<C>,T> - Interface in com.bakdata.dedupe.duplicate_detection.offline: The offline duplicate detection returns all duplicate records within a dataset.
oldClusterIndex(Map<I, Cluster<C, T>>) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
OnlineCandidate<T> - Class in com.bakdata.dedupe.candidate_selection.online: Represents a candidate pair that was generated with an OnlineCandidateSelection.
OnlineCandidate(T, T) - Constructor for class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
OnlineCandidateSelection<T> - Interface in com.bakdata.dedupe.candidate_selection.online: Selects candidates from a streaming dataset by processing the incoming elements one-at-a-time.
OnlineDeduplication<T> - Interface in com.bakdata.dedupe.deduplication.online: A full online deduplication process, which ensures that no duplicate record is emitted.
OnlineDuplicateDetection<C extends java.lang.Comparable<C>,T> - Interface in com.bakdata.dedupe.duplicate_detection.online: An online duplicate detection algorithm processes a stream of records and returns all changed Clusters for each record.
OnlinePairBasedDuplicateDetection<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.duplicate_detection.online: A pair-based duplicate detection algorithm, which Performs OnlineCandidateSelection Applies a Classifier to the found Candidates Transforms the found duplicate pairs with a Clustering into Clusterss
OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.duplicate_detection.online
OnlineSortedNeighborhoodMethod<T> - Class in com.bakdata.dedupe.candidate_selection.online: A sorted neighborhood method (SNM) for online deduplication.
OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder<T> - Class in com.bakdata.dedupe.candidate_selection.online
OnlineSortedNeighborhoodMethod.Pass<T,K extends java.lang.Comparable<K>> - Class in com.bakdata.dedupe.candidate_selection.online: Represents a pass over the dataset with a specific sorting key and window size.
OracleClassifier<T> - Class in com.bakdata.dedupe.classifier: A classifier that knows the results perfectly as it receives the gold standard during creation.
OracleClassifier(Set<Candidate<T>>) - Constructor for class com.bakdata.dedupe.classifier.OracleClassifier
OracleClustering<C extends java.lang.Comparable<C>,T,I> - Class in com.bakdata.dedupe.clustering: A clustering that knows the results perfectly as it receives the gold standard during creation.
OracleClustering(Collection<Cluster<C, T>>, Function<T, I>) - Constructor for class com.bakdata.dedupe.clustering.OracleClustering

P

pass(OnlineSortedNeighborhoodMethod.Pass<T, ?>) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
Pass(SortingKey<? super T, ? extends K>, int) - Constructor for class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.Pass: Creates a pass with the given sorting key and window size.
passes(Collection<? extends OnlineSortedNeighborhoodMethod.Pass<T, ?>>) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
positionWise(SimilarityMeasure<E>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Performs a simple one to one comparison of elements in two lists based on their index.
positiveRule(String, SimilarityMeasure<? super T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a positive rule that is always applied.
positiveRule(String, BiPredicate<T, T>, SimilarityMeasure<? super T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a positive rule that is applied only when the precondition holds.
POSSIBLE_DUPLICATE - com.bakdata.dedupe.classifier.Classification: Possible duplicate may come from a high uncertainty of the Classifier.
possibleDuplicateFound(ClassifiedCandidate<T>) - Method in interface com.bakdata.dedupe.duplicate_detection.PossibleDuplicateHandler: Invoked when a Classification.POSSIBLE_DUPLICATE has been founds during DuplicateDetection.
possibleDuplicateHandler(PossibleDuplicateHandler<T>) - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
PossibleDuplicateHandler<T> - Interface in com.bakdata.dedupe.duplicate_detection: A callback that is invoked when a Classification.POSSIBLE_DUPLICATE has been founds during DuplicateDetection.
preferSource(List<Source>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Chooses all values from a specific source.
preferSource(Source...) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Chooses all values from a specific source.
promoteToDuplicate() - Static method in interface com.bakdata.dedupe.duplicate_detection.PossibleDuplicateHandler: Treats possible duplicates as full duplicates.
propose(Integer, Integer) - Method in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher

R

random() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Picks a random value out of the bag of values.
refine(Stream<? extends Cluster<C, T>>, Stream<ClassifiedCandidate<T>>) - Method in class com.bakdata.dedupe.clustering.RefineCluster
refineCluster(RefineCluster<C, T>) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
RefineCluster<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.clustering: Splits large clusters into smaller clusters when the inter-cluster similarities are sub-optimal.
RefineCluster.RefineClusterBuilder<C extends java.lang.Comparable<C>,T> - Class in com.bakdata.dedupe.clustering
refinedSoundex(@lombok.NonNull char[]) - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a normalizer that turns strings into the refined soundex representation.
RefinedTransitiveClosure<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering: Executes TransitiveClosure and successively RefineCluster.
RefinedTransitiveClosure.RefinedTransitiveClosureBuilder<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering
removeCluster(Cluster<C, ? extends T>) - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
ResolutionTag<T> - Class in com.bakdata.dedupe.fusion: A resolution tag is a way to refer to a previously, resolved value in the current FusionContext.
ResolutionTag(String) - Constructor for class com.bakdata.dedupe.fusion.ResolutionTag
resolve(List<AnnotatedValue>, FusionContext) - Method in interface com.bakdata.dedupe.fusion.ConflictResolution: Fully resolves the values if possible or throws a FusionException.
resolveFully(List<AnnotatedValue>, FusionContext) - Method in interface com.bakdata.dedupe.fusion.TerminalConflictResolution
resolveNonEmptyPartially(List<AnnotatedValue>, FusionContext) - Method in interface com.bakdata.dedupe.fusion.ConflictResolution: Tries the best to resolve the value but may end up with multiple concurrent values.
resolveNonEmptyPartially(List<AnnotatedValue>, FusionContext) - Method in interface com.bakdata.dedupe.fusion.TerminalConflictResolution
resolveNonEmptyPartially(List<AnnotatedValue<R>>, FusionContext) - Method in class com.bakdata.dedupe.fusion.Merge
resolvePartially(List<AnnotatedValue>, FusionContext) - Method in interface com.bakdata.dedupe.fusion.ConflictResolution: Tries the best to resolve the value but may end up with multiple concurrent values.
retrieveValues(ResolutionTag<T>) - Method in class com.bakdata.dedupe.fusion.FusionContext
reversed() - Method in class com.bakdata.dedupe.matching.WeightedEdge: Reverses the direction of the edge by swapping the vertexes.
rootResolution(ConflictResolution<R, R>) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
rule(RuleBasedClassifier.Rule<T>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
Rule(String, SimilarityMeasure<? super T>) - Constructor for class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
RuleBasedClassifier<T> - Class in com.bakdata.dedupe.classifier: Successively applies a list of rules to the record and returns the respective ClassificationResult with the following cases: If any rule classifies the pair unambiguously as Classification.DUPLICATE or Classification.NON_DUPLICATE, the classification is immediately returned. If no rule can be applied, the classification is RuleBasedClassifier.defaultClassificationResult. There are three types of rules: Negatives rule are used to exclude false positives.
RuleBasedClassifier.Rule<T> - Class in com.bakdata.dedupe.classifier: A rule has a name for lineage/debugging and the similarity measure.
RuleBasedClassifier.RuleBasedClassifierBuilder<T> - Class in com.bakdata.dedupe.classifier: A builder for RuleBasedClassifier with convenience methods to create positive and negative rules.
rules(Collection<? extends RuleBasedClassifier.Rule<T>>) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder

S

safeExecute(Runnable) - Method in class com.bakdata.util.ExceptionContext: Safely executes the given runnable.
safeExecute(Callable<? extends T>) - Method in class com.bakdata.util.ExceptionContext: Safely executes the given function.
safeExecute(Runnable) - Method in class com.bakdata.dedupe.fusion.FusionContext
safeExecute(Runnable) - Method in class com.bakdata.dedupe.similarity.SimilarityContext
safeExecute(Callable<? extends T>) - Method in class com.bakdata.dedupe.fusion.FusionContext
safeExecute(Callable<? extends T>) - Method in class com.bakdata.dedupe.similarity.SimilarityContext
saveAs(ConflictResolution<T, T>, ResolutionTag<T>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Creates a ResolutionTag for the currently resolved value.
scaledDifference(int, TemporalUnit) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Calculates the difference between the left and right Temporal and compares the absolute difference to maxDiff.
scaledDifference(T) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Calculates the difference between the left and right number and compares the absolute difference to maxDiff.
scaleWithThreshold(double) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Scales the similarity returned by this similarity, such that all values ≤minExclusive result in a similarity of 0, and all values (minExclusive, 1] are linearly rescaled to (0, 1].
selectCandidates(Iterable<? extends T>) - Method in interface com.bakdata.dedupe.candidate_selection.CandidateSelection: Selects the candidates for the given records and materializes them.
selectCandidates(Stream<? extends T>) - Method in interface com.bakdata.dedupe.candidate_selection.CandidateSelection: Selects the candidates for the given records.
selectCandidates(Stream<? extends T>) - Method in interface com.bakdata.dedupe.candidate_selection.online.OnlineCandidateSelection
selectCandidates(T) - Method in interface com.bakdata.dedupe.candidate_selection.online.OnlineCandidateSelection: Selects the candidates for the a new incoming record.
selectCandidates(T) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod
setElements(List<T>) - Method in class com.bakdata.dedupe.clustering.Cluster: The list of elements.
setId(C) - Method in class com.bakdata.dedupe.clustering.Cluster: The identifier of the cluster.
SetSimilarityMeasure<C extends java.util.Collection<? extends E>,E> - Interface in com.bakdata.dedupe.similarity: A SimilarityMeasure that is defined over Collections that are treated as sets.
shortest() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects all values with the same shortest length.
SimilarityContext - Class in com.bakdata.dedupe.similarity: A similarity context captures exceptions in an ExceptionContext and provides additional configurations that represent cross-cutting concerns, such as null handling.
SimilarityContext.SimilarityContextBuilder - Class in com.bakdata.dedupe.similarity
SimilarityMeasure<T> - Interface in com.bakdata.dedupe.similarity: A SimilarityMeasure compares two values and calculates a similarity in [-1; 1], where 0 means no similarity and 1 equal values in a given context.
similarityMeasureForNull(SimilarityMeasure<Object>) - Method in class com.bakdata.dedupe.similarity.SimilarityContext.SimilarityContextBuilder
similarityMeasures(List<SimilarityMeasure<? super T>>) - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder
similarityScore(SimilarityScore<R>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Wraps a SimilarityScore of apache commons-text into a SimilarityMeasure.
size() - Method in class com.bakdata.dedupe.clustering.Cluster
sortingKey(SortingKey<T, ?>) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder: Adds a new pass with the given sorting key and the OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder.defaultWindowSize(int).
sortingKey(SortingKey<T, ?>, int) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder: Adds a new pass with the given sorting key.
SortingKey<T,K extends java.lang.Comparable<K>> - Class in com.bakdata.dedupe.candidate_selection: A sorting key allows a dataset to be indexed by a specific (calculated) value of a record, such that duplicates have a higher probability of being in close proximity and thus a CandidateSelection may prune the search space drastically.
SortingKey(String, Function<T, K>) - Constructor for class com.bakdata.dedupe.candidate_selection.SortingKey
sortingKeys(Iterable<SortingKey<T, ?>>) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder: Adds new passes with the given list of sorting keys and the OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder.defaultWindowSize(int).
sortingKeys(Iterable<SortingKey<T, ?>>, int) - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder: Adds new passes with the given list of sorting keys and the given window size.
soundex() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a normalizer that turns strings into the soundex representation.
source(Source) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
Source - Class in com.bakdata.dedupe.fusion: The source of a value to be fused.
Source(String, double) - Constructor for class com.bakdata.dedupe.fusion.Source
sourceExtractor(Function<R, String>) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
sources(Collection<? extends Source>) - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
splitHandler(ClusterSplitHandler) - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
stableMatching(SimilarityMeasure<E>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Will find the (weakly) stable matches between the left and the right side with a given pair similarity measure and calculate the average similarity between the stable pairs.
storeValues(ResolutionTag<T>, List<AnnotatedValue<T>>) - Method in class com.bakdata.dedupe.fusion.FusionContext
stream(Iterable<T>) - Static method in class com.bakdata.util.StreamUtil
StreamUtil - Class in com.bakdata.util: Adds some functions that are missing in Java Streams.
stringGenerator(String) - Static method in class com.bakdata.dedupe.clustering.ClusterIdGenerators: Returns an id generator that generates strings with a given prefix starting from 0.
StronglyStableMarriage<T> - Class in com.bakdata.dedupe.matching: Implements a strongly stable matching based on the stable marriage with indifference.
StronglyStableMarriage() - Constructor for class com.bakdata.dedupe.matching.StronglyStableMarriage
sum() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Calculates the sum of a bag of conflicting numbers.

T

takeWhileInclusive(DoubleStream, DoublePredicate) - Static method in class com.bakdata.util.StreamUtil
takeWhileInclusive(IntStream, IntPredicate) - Static method in class com.bakdata.util.StreamUtil
takeWhileInclusive(LongStream, LongPredicate) - Static method in class com.bakdata.util.StreamUtil
takeWhileInclusive(Stream<T>, Predicate<? super T>) - Static method in class com.bakdata.util.StreamUtil
TerminalConflictResolution<I,O> - Interface in com.bakdata.dedupe.fusion: A conflict resolution function that is guaranteed to produce a single value.
then(ConflictResolution<F, F>) - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
then(ConflictResolution<I, J>) - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
thresholdRule(String, SimilarityMeasure<? super T>, double) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a threshold rule that is always applied.
thresholdRule(String, BiPredicate<T, T>, SimilarityMeasure<? super T>, double) - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder: Creates a threshold rule that is applied only when the precondition holds.
toBuilder() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate
toSimilarity(EditDistance<R>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Used to translate EditDistance of apache commons-text into a similarity score by using the formula 1 - dist / maxDist where maxDist is the maximum length of the input strings.
toString() - Method in class com.bakdata.dedupe.candidate_selection.CompositeValue
toString() - Method in class com.bakdata.dedupe.candidate_selection.offline.OfflineCandidate
toString() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineCandidate
toString() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod.OnlineSortedNeighborhoodMethodBuilder
toString() - Method in class com.bakdata.dedupe.candidate_selection.online.OnlineSortedNeighborhoodMethod
toString() - Method in class com.bakdata.dedupe.candidate_selection.SortingKey
toString() - Method in class com.bakdata.dedupe.classifier.ClassificationResult.ClassificationResultBuilder
toString() - Method in class com.bakdata.dedupe.classifier.ClassificationResult
toString() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate.ClassifiedCandidateBuilder
toString() - Method in class com.bakdata.dedupe.classifier.ClassifiedCandidate
toString() - Method in class com.bakdata.dedupe.classifier.OracleClassifier
toString() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.Rule
toString() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier.RuleBasedClassifierBuilder
toString() - Method in class com.bakdata.dedupe.classifier.RuleBasedClassifier
toString() - Method in class com.bakdata.dedupe.clustering.Cluster.ClusterBuilder
toString() - Method in class com.bakdata.dedupe.clustering.Cluster
toString() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering.ConsistentClusteringBuilder
toString() - Method in class com.bakdata.dedupe.clustering.ConsistentClustering
toString() - Method in class com.bakdata.dedupe.clustering.OracleClustering
toString() - Method in class com.bakdata.dedupe.clustering.RefineCluster.RefineClusterBuilder
toString() - Method in class com.bakdata.dedupe.clustering.RefineCluster
toString() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure.RefinedTransitiveClosureBuilder
toString() - Method in class com.bakdata.dedupe.clustering.RefinedTransitiveClosure
toString() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure
toString() - Method in class com.bakdata.dedupe.clustering.TransitiveClosure.TransitiveClosureBuilder
toString() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection.FusingOnlineDuplicateDetectionBuilder
toString() - Method in class com.bakdata.dedupe.deduplication.online.FusingOnlineDuplicateDetection
toString() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection.OnlinePairBasedDuplicateDetectionBuilder
toString() - Method in class com.bakdata.dedupe.duplicate_detection.online.OnlinePairBasedDuplicateDetection
toString() - Method in class com.bakdata.dedupe.fusion.AnnotatedValue
toString() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion.ConflictResolutionFusionBuilder
toString() - Method in class com.bakdata.dedupe.fusion.ConflictResolutionFusion
toString() - Method in class com.bakdata.dedupe.fusion.FusedValue
toString() - Method in class com.bakdata.dedupe.fusion.FusionContext.FusionContextBuilder
toString() - Method in class com.bakdata.dedupe.fusion.FusionContext
toString() - Method in class com.bakdata.dedupe.fusion.Merge.AdditionalFieldMergeBuilder
toString() - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
toString() - Method in class com.bakdata.dedupe.fusion.Merge.IllTypedFieldMergeBuilder
toString() - Method in class com.bakdata.dedupe.fusion.Merge.MergeBuilder
toString() - Method in class com.bakdata.dedupe.fusion.Merge
toString() - Method in class com.bakdata.dedupe.fusion.ResolutionTag
toString() - Method in class com.bakdata.dedupe.fusion.Source
toString() - Method in class com.bakdata.dedupe.matching.StronglyStableMarriage
toString() - Method in class com.bakdata.dedupe.matching.WeaklyStableMarriage
toString() - Method in class com.bakdata.dedupe.matching.WeightedEdge
toString() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure.AggregatingSimilarityMeasureBuilder
toString() - Method in class com.bakdata.dedupe.similarity.AggregatingSimilarityMeasure
toString() - Method in class com.bakdata.dedupe.similarity.CachingSimilarity
toString() - Method in class com.bakdata.dedupe.similarity.CutoffSimiliarityMeasure
toString() - Method in class com.bakdata.dedupe.similarity.Levenshtein
toString() - Method in class com.bakdata.dedupe.similarity.MatchingSimilarity
toString() - Method in class com.bakdata.dedupe.similarity.SimilarityContext.SimilarityContextBuilder
toString() - Method in class com.bakdata.dedupe.similarity.SimilarityContext
toString() - Method in class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
toString() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure
toString() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
toString() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
toString() - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
toString() - Method in class com.bakdata.util.ExceptionContext
toString() - Method in class com.bakdata.util.FunctionalClass
toString() - Method in class com.bakdata.util.FunctionalConstructor
toString() - Method in class com.bakdata.util.FunctionalMethod
toString() - Method in class com.bakdata.util.FunctionalProperty
transform(Function<? super T, ? extends R>) - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Wraps any function into a ValueTransformation.
transform(Function<? super T, R>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Transforms the values within an AnnotatedValue.
transform(T, SimilarityContext) - Method in interface com.bakdata.dedupe.similarity.ValueTransformation: Transforms the value to the expected output type.
TransformingSimilarityMeasure<R,T> - Class in com.bakdata.dedupe.similarity: Applies a SimilarityMeasure to transformed input values.
TransformingSimilarityMeasure(ValueTransformation<T, ? extends R>, SimilarityMeasure<R>) - Constructor for class com.bakdata.dedupe.similarity.TransformingSimilarityMeasure
TransitiveClosure<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering: An amortized linear transitive closure implementation over the number of pairs.
TransitiveClosure.TransitiveClosureBuilder<C extends java.lang.Comparable<C>,T,I extends java.lang.Comparable<? super I>> - Class in com.bakdata.dedupe.clustering
trigram() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Creates a tokenizer for a string into trigrams; that is, three succeeding characters.

U

union() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Retains all distinct values.
unionAll() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Retains all values.
unionAll(Supplier<? extends R>) - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Adds all values to the given collection type.
unknown() - Static method in interface com.bakdata.dedupe.duplicate_detection.PossibleDuplicateHandler: Treats possible duplicates as unknown classification.
unknown() - Static method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Returns a value indicating that the similarity value is unknown.
UNKNOWN - com.bakdata.dedupe.classifier.Classification: Unknown classifications are primarily caused by a lack of information.
unknownIf(DoublePredicate) - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Replaces the similarity returned by this similarity, such that all values, for which the given predicate evaluates to true, result in an SimilarityMeasure.unknown() similarity.
unknownIfZero() - Method in interface com.bakdata.dedupe.similarity.SimilarityMeasure: Replaces the similarity returned by this similarity, such that all values =0 result in an SimilarityMeasure.unknown() similarity.

V

valueOf(String) - Static method in enum com.bakdata.dedupe.classifier.Classification: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.bakdata.dedupe.classifier.Classification: Returns an array containing the constants of this enum type, in the order they are declared.
ValueTransformation<T,R> - Interface in com.bakdata.dedupe.similarity: Performs a transformation on a value, especially on input values for SimilarityMeasure.
vote() - Static method in class com.bakdata.dedupe.fusion.CommonConflictResolutions: Selects the highest weighted values.

W

WeaklyStableMarriage<T> - Class in com.bakdata.dedupe.matching: Implements a weakly stable matching based on the stable marriage with indifference (i.e., ties).
WeaklyStableMarriage() - Constructor for class com.bakdata.dedupe.matching.WeaklyStableMarriage
WeightedAggregatingSimilarityMeasure<R> - Class in com.bakdata.dedupe.similarity
WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder<R> - Class in com.bakdata.dedupe.similarity
WeightedAggregatingSimilarityMeasure.WeightedSimilarity<T> - Class in com.bakdata.dedupe.similarity
WeightedAggregatingSimilarityMeasure.WeightedValue - Class in com.bakdata.dedupe.similarity
weightedAggregation(ToDoubleFunction<Stream<WeightedAggregatingSimilarityMeasure.WeightedValue>>) - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Starts the creation of a weighted aggregation of multiple SimilarityMeasures.
weightedAverage() - Static method in class com.bakdata.dedupe.similarity.CommonSimilarityMeasures: Starts the creation of a weighted average of multiple SimilarityMeasures.
WeightedEdge<T> - Class in com.bakdata.dedupe.matching: A weighted (directed) edge between two records.
WeightedEdge(T, T, double) - Constructor for class com.bakdata.dedupe.matching.WeightedEdge
weightedSimilarities(Collection<? extends WeightedAggregatingSimilarityMeasure.WeightedSimilarity<R>>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
weightedSimilarity(WeightedAggregatingSimilarityMeasure.WeightedSimilarity<R>) - Method in class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedAggregatingSimilarityMeasureBuilder
WeightedSimilarity(double, SimilarityMeasure<T>) - Constructor for class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedSimilarity
WeightedValue(double, double) - Constructor for class com.bakdata.dedupe.similarity.WeightedAggregatingSimilarityMeasure.WeightedValue
with(ConflictResolution<F, F>) - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
with(ConflictResolution<F, F>, ConflictResolution<F, F>...) - Method in class com.bakdata.dedupe.fusion.Merge.FieldMergeBuilder
withValue(S) - Method in class com.bakdata.dedupe.fusion.AnnotatedValue: Creates a new instance with changed value and with potentially different type.
womensFavoriteMen - Variable in class com.bakdata.dedupe.matching.AbstractStableMarriage.AbstractMatcher
words() - Static method in class com.bakdata.dedupe.similarity.CommonTransformations: Splits a string on all whitespace characters into words.

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