## 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 and 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 and Description
--- | ---
`protected BasicStats` | SimilarityBase.`newStats(String field, float queryBoost)` Factory method to return a custom stats object
`protected BasicStats` | LMSimilarity.`newStats(String field, float queryBoost)`

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