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Packages 169

JRuby

org.apache.lucene.search.similarities 47

C AfterEffect

C AfterEffectB

C AfterEffectL

C Axiomatic

C AxiomaticF1EXP

C AxiomaticF1LOG

C AxiomaticF2EXP

C AxiomaticF2LOG

C AxiomaticF3EXP

C AxiomaticF3LOG

C BM25Similarity

C BasicModel

C BasicModelG

C BasicModelIF

C BasicModelIn

C BasicModelIne

C BasicStats

C BooleanSimilarity

C ClassicSimilarity

C DFISimilarity

C DFRSimilarity

C Distribution

C DistributionLL

C DistributionSPL

C IBSimilarity

C Independence

C IndependenceChiSquared

C IndependenceSaturated

C IndependenceStandardized

C IndriDirichletSimilarity

C LMDirichletSimilarity

C LMJelinekMercerSimilarity

C LMSimilarity

C Lambda

C LambdaDF

C LambdaTTF

C MultiSimilarity

C Normalization

C NormalizationH1

C NormalizationH2

C NormalizationH3

C NormalizationZ

C PerFieldSimilarityWrapper

C RawTFSimilarity

C Similarity

C SimilarityBase

C TFIDFSimilarity

Distribution — members 4

C new()

M explain(stats, tfn, lambda) Explanation

M score(stats, tfn, lambda) double

M to_string() String

org.apache.lucene.search.similarities.Distribution

class abstract 4 members

The probabilistic distribution used to model term occurrence in information-based models.

Constructors

new

new ( )

Java: <init>()

Sole constructor. (For invocation by subclass constructors, typically implicit.)

Instance Methods

explain

Explanation explain ( BasicStats stats, double tfn, double lambda )

Java: explain(org.apache.lucene.search.similarities.BasicStats stats, double tfn, double lambda)

Explains the score. Returns the name of the model only, since both tfn and lambda are explained elsewhere.

score

double score ( BasicStats stats, double tfn, double lambda )

Java: score(org.apache.lucene.search.similarities.BasicStats stats, double tfn, double lambda)

Computes the score.

to_string

String to_string ( )

Java: toString()

Subclasses must override this method to return the name of the distribution.