Uses of Class
org.apache.lucene.search.similarities.BasicStats

Packages that use BasicStats

Package	Description
org.apache.lucene.search.similarities	This package contains the various ranking models that can be used in Lucene.

Uses of BasicStats in org.apache.lucene.search.similarities

Subclasses of BasicStats in org.apache.lucene.search.similarities

Modifier and Type	Class	Description
static class	LMSimilarity.LMStats	Stores the collection distribution of the current term.

Methods in org.apache.lucene.search.similarities that return BasicStats

Modifier and Type	Method	Description
protected BasicStats	LMSimilarity.newStats(String field, float queryBoost)
protected BasicStats	SimilarityBase.newStats(String field, float queryBoost)	Factory method to return a custom stats object

Methods in org.apache.lucene.search.similarities with parameters of type BasicStats

Modifier and Type	Method	Description
float	LMSimilarity.CollectionModel.computeProbability(BasicStats stats)	Computes the probability p(w|C) according to the language model strategy for the current term.
float	LMSimilarity.DefaultCollectionModel.computeProbability(BasicStats stats)
abstract Explanation	AfterEffect.explain(BasicStats stats, float tfn)	Returns an explanation for the score.
final Explanation	AfterEffect.NoAfterEffect.explain(BasicStats stats, float tfn)
final Explanation	AfterEffectB.explain(BasicStats stats, float tfn)
final Explanation	AfterEffectL.explain(BasicStats stats, float tfn)
Explanation	BasicModel.explain(BasicStats stats, float tfn)	Returns an explanation for the score.
final Explanation	BasicModelIn.explain(BasicStats stats, float tfn)
protected void	DFRSimilarity.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
Explanation	Distribution.explain(BasicStats stats, float tfn, float lambda)	Explains the score.
protected void	IBSimilarity.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
abstract Explanation	Lambda.explain(BasicStats stats)	Explains the lambda parameter.
final Explanation	LambdaDF.explain(BasicStats stats)
final Explanation	LambdaTTF.explain(BasicStats stats)
protected void	LMDirichletSimilarity.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
protected void	LMJelinekMercerSimilarity.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
protected void	LMSimilarity.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
Explanation	Normalization.explain(BasicStats stats, float tf, float len)	Returns an explanation for the normalized term frequency.
final Explanation	Normalization.NoNormalization.explain(BasicStats stats, float tf, float len)
protected void	SimilarityBase.explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)	Subclasses should implement this method to explain the score.
protected Explanation	SimilarityBase.explain(BasicStats stats, int doc, Explanation freq, float docLen)	Explains the score.
protected void	LMSimilarity.fillBasicStats(BasicStats stats, CollectionStatistics collectionStats, TermStatistics termStats)	Computes the collection probability of the current term in addition to the usual statistics.
protected void	SimilarityBase.fillBasicStats(BasicStats stats, CollectionStatistics collectionStats, TermStatistics termStats)	Fills all member fields defined in BasicStats in stats.
abstract float	Lambda.lambda(BasicStats stats)	Computes the lambda parameter.
final float	LambdaDF.lambda(BasicStats stats)
final float	LambdaTTF.lambda(BasicStats stats)
final float	AfterEffect.NoAfterEffect.score(BasicStats stats, float tfn)
abstract float	AfterEffect.score(BasicStats stats, float tfn)	Returns the aftereffect score.
final float	AfterEffectB.score(BasicStats stats, float tfn)
final float	AfterEffectL.score(BasicStats stats, float tfn)
abstract float	BasicModel.score(BasicStats stats, float tfn)	Returns the informative content score.
final float	BasicModelBE.score(BasicStats stats, float tfn)
final float	BasicModelD.score(BasicStats stats, float tfn)
final float	BasicModelG.score(BasicStats stats, float tfn)
final float	BasicModelIF.score(BasicStats stats, float tfn)
final float	BasicModelIn.score(BasicStats stats, float tfn)
final float	BasicModelIne.score(BasicStats stats, float tfn)
final float	BasicModelP.score(BasicStats stats, float tfn)
protected float	DFRSimilarity.score(BasicStats stats, float freq, float docLen)
abstract float	Distribution.score(BasicStats stats, float tfn, float lambda)	Computes the score.
final float	DistributionLL.score(BasicStats stats, float tfn, float lambda)
final float	DistributionSPL.score(BasicStats stats, float tfn, float lambda)
protected float	IBSimilarity.score(BasicStats stats, float freq, float docLen)
protected float	LMDirichletSimilarity.score(BasicStats stats, float freq, float docLen)
protected float	LMJelinekMercerSimilarity.score(BasicStats stats, float freq, float docLen)
protected abstract float	SimilarityBase.score(BasicStats stats, float freq, float docLen)	Scores the document doc.
final float	Normalization.NoNormalization.tfn(BasicStats stats, float tf, float len)
abstract float	Normalization.tfn(BasicStats stats, float tf, float len)	Returns the normalized term frequency.
final float	NormalizationH1.tfn(BasicStats stats, float tf, float len)
final float	NormalizationH2.tfn(BasicStats stats, float tf, float len)
float	NormalizationH3.tfn(BasicStats stats, float tf, float len)
float	NormalizationZ.tfn(BasicStats stats, float tf, float len)