Uses of Class
org.apache.lucene.search.similarities.Similarity
Packages that use Similarity
Package
Description
Uses already seen data (the indexed documents) to classify an input ( can be simple text or a
structured document).
Uses already seen data (the indexed documents) to classify new documents.
Code to maintain and access indices.
High-performance single-document main memory Apache Lucene fulltext search index.
Miscellaneous Lucene utilities that don't really fit anywhere else.
Monitoring framework
A variety of functions to use with FunctionQuery.
The calculus of spans.
This package contains a flexible graph-based proximity query, TermAutomatonQuery, and geospatial
queries.
Code to search indices.
This package contains the various ranking models that can be used in Lucene.
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Uses of Similarity in org.apache.lucene.classification
Constructors in org.apache.lucene.classification with parameters of type SimilarityModifierConstructorDescriptionKNearestFuzzyClassifier
(IndexReader indexReader, Similarity similarity, Analyzer analyzer, Query query, int k, String classFieldName, String... textFieldNames) Creates aKNearestFuzzyClassifier
.KNearestNeighborClassifier
(IndexReader indexReader, Similarity similarity, Analyzer analyzer, Query query, int k, int minDocsFreq, int minTermFreq, String classFieldName, String... textFieldNames) Creates aKNearestNeighborClassifier
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Uses of Similarity in org.apache.lucene.classification.document
Constructors in org.apache.lucene.classification.document with parameters of type SimilarityModifierConstructorDescriptionKNearestNeighborDocumentClassifier
(IndexReader indexReader, Similarity similarity, Query query, int k, int minDocsFreq, int minTermFreq, String classFieldName, Map<String, Analyzer> field2analyzer, String... textFieldNames) Creates aKNearestNeighborClassifier
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Uses of Similarity in org.apache.lucene.index
Fields in org.apache.lucene.index declared as SimilarityModifier and TypeFieldDescription(package private) final Similarity
IndexingChain.PerField.similarity
protected Similarity
LiveIndexWriterConfig.similarity
Similarity
to use when encoding norms.Methods in org.apache.lucene.index that return SimilarityModifier and TypeMethodDescriptionIndexWriterConfig.getSimilarity()
LiveIndexWriterConfig.getSimilarity()
Expert: returns theSimilarity
implementation used by thisIndexWriter
.Methods in org.apache.lucene.index with parameters of type SimilarityModifier and TypeMethodDescriptionIndexWriterConfig.setSimilarity
(Similarity similarity) Expert: set theSimilarity
implementation used by this IndexWriter.Constructors in org.apache.lucene.index with parameters of type SimilarityModifierConstructorDescription(package private)
PerField
(String fieldName, int indexCreatedVersionMajor, IndexingChain.FieldSchema schema, Similarity similarity, InfoStream infoStream, Analyzer analyzer) -
Uses of Similarity in org.apache.lucene.index.memory
Fields in org.apache.lucene.index.memory declared as SimilarityMethods in org.apache.lucene.index.memory with parameters of type SimilarityModifier and TypeMethodDescriptionvoid
MemoryIndex.setSimilarity
(Similarity similarity) Set the Similarity to be used for calculating field norms -
Uses of Similarity in org.apache.lucene.misc
Subclasses of Similarity in org.apache.lucene.miscModifier and TypeClassDescriptionclass
A similarity with a lengthNorm that provides for a "plateau" of equally good lengths, and tf helper functions. -
Uses of Similarity in org.apache.lucene.monitor
Methods in org.apache.lucene.monitor with parameters of type SimilarityModifier and TypeMethodDescriptionstatic final MatcherFactory
<ScoringMatch> ScoringMatch.matchWithSimilarity
(Similarity similarity) -
Uses of Similarity in org.apache.lucene.queries.function.valuesource
Methods in org.apache.lucene.queries.function.valuesource with parameters of type SimilarityModifier and TypeMethodDescription(package private) static TFIDFSimilarity
IDFValueSource.asTFIDF
(Similarity sim, String field) -
Uses of Similarity in org.apache.lucene.queries.spans
Fields in org.apache.lucene.queries.spans declared as Similarity -
Uses of Similarity in org.apache.lucene.sandbox.search
Fields in org.apache.lucene.sandbox.search declared as SimilarityModifier and TypeFieldDescriptionprivate final Similarity
TermAutomatonQuery.TermAutomatonWeight.similarity
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Uses of Similarity in org.apache.lucene.search
Fields in org.apache.lucene.search declared as SimilarityModifier and TypeFieldDescriptionprivate static final Similarity
IndexSearcher.defaultSimilarity
(package private) final Similarity
BooleanWeight.similarity
The Similarity implementation.private Similarity
IndexSearcher.similarity
The Similarity implementation used by this searcher.(package private) final Similarity
PhraseWeight.similarity
private final Similarity
SynonymQuery.SynonymWeight.similarity
private final Similarity
TermQuery.TermWeight.similarity
Methods in org.apache.lucene.search that return SimilarityModifier and TypeMethodDescriptionstatic Similarity
IndexSearcher.getDefaultSimilarity()
Expert: returns a default Similarity instance.IndexSearcher.getSimilarity()
Expert: Get theSimilarity
to use to compute scores.Methods in org.apache.lucene.search with parameters of type SimilarityModifier and TypeMethodDescriptionvoid
IndexSearcher.setSimilarity
(Similarity similarity) Expert: Set the Similarity implementation used by this IndexSearcher. -
Uses of Similarity in org.apache.lucene.search.similarities
Subclasses of Similarity in org.apache.lucene.search.similaritiesModifier and TypeClassDescriptionclass
Axiomatic approaches for IR.class
F1EXP is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term)) where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freqclass
F1LOG is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term)) where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freqclass
F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term)) where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freqclass
F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term)) where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freqclass
F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen)) where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freq gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl NOTE: the gamma function of this similarity creates negative scoresclass
F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen)) where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl NOTE: the gamma function of this similarity creates negative scoresclass
BM25 Similarity.class
Simple similarity that gives terms a score that is equal to their query boost.class
Expert: Historical scoring implementation.class
Implements the Divergence from Independence (DFI) model based on Chi-square statistics (i.e., standardized Chi-squared distance from independence in term frequency tf).class
Implements the divergence from randomness (DFR) framework introduced in Gianni Amati and Cornelis Joost Van Rijsbergen.class
Provides a framework for the family of information-based models, as described in Stéphane Clinchant and Eric Gaussier.class
Bayesian smoothing using Dirichlet priors as implemented in the Indri Search engine (http://www.lemurproject.org/indri.php).class
Bayesian smoothing using Dirichlet priors.class
Language model based on the Jelinek-Mercer smoothing method.class
Abstract superclass for language modeling Similarities.class
Implements the CombSUM method for combining evidence from multiple similarity values described in: Joseph A.class
Provides the ability to use a differentSimilarity
for different fields.class
A subclass ofSimilarity
that provides a simplified API for its descendants.class
Implementation ofSimilarity
with the Vector Space Model.Fields in org.apache.lucene.search.similarities declared as SimilarityModifier and TypeFieldDescriptionprivate static final Similarity
BooleanSimilarity.BM25_SIM
protected final Similarity[]
MultiSimilarity.sims
the sub-similarities used to create the combined scoreMethods in org.apache.lucene.search.similarities that return SimilarityConstructors in org.apache.lucene.search.similarities with parameters of type SimilarityModifierConstructorDescriptionMultiSimilarity
(Similarity[] sims) Creates a MultiSimilarity which will sum the scores of the providedsims
.