| Package | Description |
|---|---|
| org.apache.lucene.search |
Code to search indices.
|
| 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 | Method and Description |
|---|---|
Explanation |
QueryRescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID) |
abstract Explanation |
Rescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID)
Explains how the score for the specified document was
computed.
|
Explanation |
SortRescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID) |
Explanation |
LeafSimScorer.explain(int doc,
Explanation freqExpl)
Explain the score for the provided document assuming the given term document frequency.
|
abstract Explanation |
Weight.explain(LeafReaderContext context,
int doc)
An explanation of the score computation for the named document.
|
Explanation |
FilterWeight.explain(LeafReaderContext context,
int doc) |
Explanation |
IndriAndWeight.explain(LeafReaderContext context,
int doc) |
Explanation |
ConstantScoreWeight.explain(LeafReaderContext context,
int doc) |
Explanation |
DisjunctionMaxQuery.DisjunctionMaxWeight.explain(LeafReaderContext context,
int doc)
Explain the score we computed for doc
|
Explanation |
DoubleValuesSource.explain(LeafReaderContext ctx,
int docId,
Explanation scoreExplanation)
An explanation of the value for the named document.
|
Explanation |
IndexSearcher.explain(Query query,
int doc)
Returns an Explanation that describes how
doc scored against
query. |
protected Explanation |
IndexSearcher.explain(Weight weight,
int doc)
Expert: low-level implementation method
Returns an Explanation that describes how
doc scored against
weight. |
Explanation[] |
Explanation.getDetails()
The sub-nodes of this explanation node.
|
static Explanation |
Explanation.match(Number value,
String description,
Collection<Explanation> details)
Create a new explanation for a match.
|
static Explanation |
Explanation.match(Number value,
String description,
Explanation... details)
Create a new explanation for a match.
|
static Explanation |
Explanation.noMatch(String description,
Collection<Explanation> details)
Create a new explanation for a document which does not match.
|
static Explanation |
Explanation.noMatch(String description,
Explanation... details)
Create a new explanation for a document which does not match.
|
| Modifier and Type | Method and Description |
|---|---|
Explanation |
QueryRescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID) |
abstract Explanation |
Rescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID)
Explains how the score for the specified document was
computed.
|
Explanation |
SortRescorer.explain(IndexSearcher searcher,
Explanation firstPassExplanation,
int docID) |
Explanation |
LeafSimScorer.explain(int doc,
Explanation freqExpl)
Explain the score for the provided document assuming the given term document frequency.
|
Explanation |
DoubleValuesSource.explain(LeafReaderContext ctx,
int docId,
Explanation scoreExplanation)
An explanation of the value for the named document.
|
static Explanation |
Explanation.match(Number value,
String description,
Explanation... details)
Create a new explanation for a match.
|
static Explanation |
Explanation.noMatch(String description,
Explanation... details)
Create a new explanation for a document which does not match.
|
| Modifier and Type | Method and Description |
|---|---|
static Explanation |
Explanation.match(Number value,
String description,
Collection<Explanation> details)
Create a new explanation for a match.
|
static Explanation |
Explanation.noMatch(String description,
Collection<Explanation> details)
Create a new explanation for a document which does not match.
|
| Modifier and Type | Method and Description |
|---|---|
Explanation |
LambdaDF.explain(BasicStats stats) |
abstract Explanation |
Lambda.explain(BasicStats stats)
Explains the lambda parameter.
|
Explanation |
LambdaTTF.explain(BasicStats stats) |
Explanation |
AfterEffectL.explain(BasicStats stats,
double tfn) |
Explanation |
AfterEffectB.explain(BasicStats stats,
double tfn) |
abstract Explanation |
AfterEffect.explain(BasicStats stats,
double tfn)
Returns an explanation for the score.
|
Explanation |
BasicModelG.explain(BasicStats stats,
double tfn,
double aeTimes1pTfn) |
Explanation |
NormalizationH1.explain(BasicStats stats,
double tf,
double len) |
Explanation |
Distribution.explain(BasicStats stats,
double tfn,
double lambda)
Explains the score.
|
Explanation |
NormalizationZ.explain(BasicStats stats,
double tf,
double len) |
Explanation |
BasicModelIn.explain(BasicStats stats,
double tfn,
double aeTimes1pTfn) |
abstract Explanation |
BasicModel.explain(BasicStats stats,
double tfn,
double aeTimes1pTfn)
Returns an explanation for the score.
|
Explanation |
Normalization.explain(BasicStats stats,
double tf,
double len)
Returns an explanation for the normalized term frequency.
|
Explanation |
Normalization.NoNormalization.explain(BasicStats stats,
double tf,
double len) |
Explanation |
BasicModelIne.explain(BasicStats stats,
double tfn,
double aeTimes1pTfn) |
Explanation |
BasicModelIF.explain(BasicStats stats,
double tfn,
double aeTimes1pTfn) |
Explanation |
NormalizationH3.explain(BasicStats stats,
double tf,
double len) |
Explanation |
NormalizationH2.explain(BasicStats stats,
double tf,
double len) |
protected Explanation |
LMJelinekMercerSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
Axiomatic.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
DFISimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
DFRSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
SimilarityBase.explain(BasicStats stats,
Explanation freq,
double docLen)
Explains the score.
|
protected Explanation |
LMDirichletSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
IBSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
Explanation |
Similarity.SimScorer.explain(Explanation freq,
long norm)
Explain the score for a single document
|
protected Explanation |
AxiomaticF1EXP.idfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3EXP.idfExplain(BasicStats stats,
double freq,
double docLen) |
protected abstract Explanation |
Axiomatic.idfExplain(BasicStats stats,
double freq,
double docLen)
Explain the score of the inverted document frequency component
for a single document
|
protected Explanation |
AxiomaticF2EXP.idfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3LOG.idfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF2LOG.idfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1LOG.idfExplain(BasicStats stats,
double freq,
double docLen) |
Explanation |
TFIDFSimilarity.idfExplain(CollectionStatistics collectionStats,
TermStatistics termStats)
Computes a score factor for a simple term and returns an explanation
for that score factor.
|
Explanation |
ClassicSimilarity.idfExplain(CollectionStatistics collectionStats,
TermStatistics termStats) |
Explanation |
BM25Similarity.idfExplain(CollectionStatistics collectionStats,
TermStatistics termStats)
Computes a score factor for a simple term and returns an explanation
for that score factor.
|
Explanation |
TFIDFSimilarity.idfExplain(CollectionStatistics collectionStats,
TermStatistics[] termStats)
Computes a score factor for a phrase.
|
Explanation |
BM25Similarity.idfExplain(CollectionStatistics collectionStats,
TermStatistics[] termStats)
Computes a score factor for a phrase.
|
protected Explanation |
AxiomaticF1EXP.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3EXP.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected abstract Explanation |
Axiomatic.lnExplain(BasicStats stats,
double freq,
double docLen)
Explain the score of the document length component for a single document
|
protected Explanation |
AxiomaticF2EXP.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3LOG.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF2LOG.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1LOG.lnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1EXP.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3EXP.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected abstract Explanation |
Axiomatic.tfExplain(BasicStats stats,
double freq,
double docLen)
Explain the score of the term frequency component for a single document
|
protected Explanation |
AxiomaticF2EXP.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3LOG.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF2LOG.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1LOG.tfExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1EXP.tflnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3EXP.tflnExplain(BasicStats stats,
double freq,
double docLen) |
protected abstract Explanation |
Axiomatic.tflnExplain(BasicStats stats,
double freq,
double docLen)
Explain the score of the mixed term frequency and
document length component for a single document
|
protected Explanation |
AxiomaticF2EXP.tflnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF3LOG.tflnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF2LOG.tflnExplain(BasicStats stats,
double freq,
double docLen) |
protected Explanation |
AxiomaticF1LOG.tflnExplain(BasicStats stats,
double freq,
double docLen) |
| Modifier and Type | Method and Description |
|---|---|
protected Explanation |
LMJelinekMercerSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
Axiomatic.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
DFISimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
DFRSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
SimilarityBase.explain(BasicStats stats,
Explanation freq,
double docLen)
Explains the score.
|
protected Explanation |
LMDirichletSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
protected Explanation |
IBSimilarity.explain(BasicStats stats,
Explanation freq,
double docLen) |
Explanation |
Similarity.SimScorer.explain(Explanation freq,
long norm)
Explain the score for a single document
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
LMSimilarity.explain(List<Explanation> subExpls,
BasicStats stats,
double freq,
double docLen) |
protected void |
IndriDirichletSimilarity.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
protected void |
LMJelinekMercerSimilarity.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
protected void |
Axiomatic.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
protected void |
DFRSimilarity.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
protected void |
SimilarityBase.explain(List<Explanation> subExpls,
BasicStats stats,
double freq,
double docLen)
Subclasses should implement this method to explain the score.
|
protected void |
LMDirichletSimilarity.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
protected void |
IBSimilarity.explain(List<Explanation> subs,
BasicStats stats,
double freq,
double docLen) |
| Modifier and Type | Method and Description |
|---|---|
Explanation |
SpanWeight.explain(LeafReaderContext context,
int doc) |
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