Class MultiSimilarity.MultiSimScorer
- java.lang.Object
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- org.apache.lucene.search.similarities.Similarity.SimScorer
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- org.apache.lucene.search.similarities.MultiSimilarity.MultiSimScorer
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- Enclosing class:
- MultiSimilarity
static class MultiSimilarity.MultiSimScorer extends Similarity.SimScorer
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Field Summary
Fields Modifier and Type Field Description private Similarity.SimScorer[]
subScorers
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Constructor Summary
Constructors Constructor Description MultiSimScorer(Similarity.SimScorer[] subScorers)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Explanation
explain(Explanation freq, long norm)
Explain the score for a single documentfloat
score(float freq, long norm)
Score a single document.
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Field Detail
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subScorers
private final Similarity.SimScorer[] subScorers
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Constructor Detail
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MultiSimScorer
MultiSimScorer(Similarity.SimScorer[] subScorers)
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Method Detail
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score
public float score(float freq, long norm)
Description copied from class:Similarity.SimScorer
Score a single document.freq
is the document-term sloppy frequency and must be finite and positive.norm
is the encoded normalization factor as computed bySimilarity.computeNorm(FieldInvertState)
at index time, or1
if norms are disabled.norm
is never0
.Score must not decrease when
freq
increases, ie. iffreq1 > freq2
, thenscore(freq1, norm) >= score(freq2, norm)
for any value ofnorm
that may be produced bySimilarity.computeNorm(FieldInvertState)
.Score must not increase when the unsigned
norm
increases, ie. ifLong.compareUnsigned(norm1, norm2) > 0
thenscore(freq, norm1) <= score(freq, norm2)
for any legalfreq
.As a consequence, the maximum score that this scorer can produce is bound by
score(Float.MAX_VALUE, 1)
.- Specified by:
score
in classSimilarity.SimScorer
- Parameters:
freq
- sloppy term frequency, must be finite and positivenorm
- encoded normalization factor or1
if norms are disabled- Returns:
- document's score
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explain
public Explanation explain(Explanation freq, long norm)
Description copied from class:Similarity.SimScorer
Explain the score for a single document- Overrides:
explain
in classSimilarity.SimScorer
- Parameters:
freq
- Explanation of how the sloppy term frequency was computednorm
- encoded normalization factor, as returned bySimilarity.computeNorm(org.apache.lucene.index.FieldInvertState)
, or1
if norms are disabled- Returns:
- document's score
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