Package | Description |
---|---|
org.apache.lucene.index |
Code to maintain and access indices.
|
org.apache.lucene.search |
Code to search indices.
|
org.apache.lucene.search.payloads |
The payloads package provides Query mechanisms for finding and using payloads.
|
org.apache.lucene.search.similarities |
This package contains the various ranking models that can be used in Lucene.
|
org.apache.lucene.search.spans |
The calculus of spans.
|
Modifier and Type | Field and Description |
---|---|
protected Similarity |
LiveIndexWriterConfig.similarity
Similarity to use when encoding norms. |
Modifier and Type | Method and Description |
---|---|
Similarity |
IndexWriterConfig.getSimilarity() |
Similarity |
LiveIndexWriterConfig.getSimilarity()
Expert: returns the
Similarity implementation used by this
IndexWriter . |
Modifier and Type | Method and Description |
---|---|
IndexWriterConfig |
IndexWriterConfig.setSimilarity(Similarity similarity)
Expert: set the
Similarity implementation used by this IndexWriter. |
Modifier and Type | Field and Description |
---|---|
protected Similarity |
BooleanQuery.BooleanWeight.similarity
The Similarity implementation.
|
Modifier and Type | Method and Description |
---|---|
static Similarity |
IndexSearcher.getDefaultSimilarity()
Expert: returns a default Similarity instance.
|
Similarity |
IndexSearcher.getSimilarity() |
Modifier and Type | Method and Description |
---|---|
void |
IndexSearcher.setSimilarity(Similarity similarity)
Expert: Set the Similarity implementation used by this IndexSearcher.
|
Modifier and Type | Method and Description |
---|---|
protected void |
PayloadTermQuery.PayloadTermWeight.PayloadTermSpanScorer.processPayload(Similarity similarity) |
Constructor and Description |
---|
PayloadNearQuery.PayloadNearSpanScorer(Spans spans,
Weight weight,
Similarity similarity,
Similarity.SloppySimScorer docScorer) |
Modifier and Type | Class and Description |
---|---|
class |
BM25Similarity
BM25 Similarity.
|
class |
DefaultSimilarity
Expert: Default scoring implementation.
|
class |
DFRSimilarity
Implements the divergence from randomness (DFR) framework
introduced in Gianni Amati and Cornelis Joost Van Rijsbergen.
|
class |
IBSimilarity
Provides a framework for the family of information-based models, as described
in Stéphane Clinchant and Eric Gaussier.
|
class |
LMDirichletSimilarity
Bayesian smoothing using Dirichlet priors.
|
class |
LMJelinekMercerSimilarity
Language model based on the Jelinek-Mercer smoothing method.
|
class |
LMSimilarity
Abstract superclass for language modeling Similarities.
|
class |
MultiSimilarity
Implements the CombSUM method for combining evidence from multiple
similarity values described in: Joseph A.
|
class |
PerFieldSimilarityWrapper
Provides the ability to use a different
Similarity for different fields. |
class |
SimilarityBase
A subclass of
Similarity that provides a simplified API for its
descendants. |
class |
TFIDFSimilarity
Implementation of
Similarity with the Vector Space Model. |
Modifier and Type | Field and Description |
---|---|
protected Similarity[] |
MultiSimilarity.sims
the sub-similarities used to create the combined score
|
Modifier and Type | Method and Description |
---|---|
abstract Similarity |
PerFieldSimilarityWrapper.get(String name)
Returns a
Similarity for scoring a field. |
Constructor and Description |
---|
MultiSimilarity(Similarity[] sims)
Creates a MultiSimilarity which will sum the scores
of the provided
sims . |
Modifier and Type | Field and Description |
---|---|
protected Similarity |
SpanWeight.similarity |
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