public class MultiSimilarity extends Similarity
Similarity.SimScorer, Similarity.SimWeight
Modifier and Type | Field and Description |
---|---|
protected Similarity[] |
sims
the sub-similarities used to create the combined score
|
Constructor and Description |
---|
MultiSimilarity(Similarity[] sims)
Creates a MultiSimilarity which will sum the scores
of the provided
sims . |
Modifier and Type | Method and Description |
---|---|
long |
computeNorm(FieldInvertState state)
Computes the normalization value for a field, given the accumulated
state of term processing for this field (see
FieldInvertState ). |
Similarity.SimWeight |
computeWeight(float queryBoost,
CollectionStatistics collectionStats,
TermStatistics... termStats)
Compute any collection-level weight (e.g.
|
Similarity.SimScorer |
simScorer(Similarity.SimWeight stats,
AtomicReaderContext context)
Creates a new
Similarity.SimScorer to score matching documents from a segment of the inverted index. |
coord, queryNorm
protected final Similarity[] sims
public MultiSimilarity(Similarity[] sims)
sims
.public long computeNorm(FieldInvertState state)
Similarity
FieldInvertState
).
Matches in longer fields are less precise, so implementations of this
method usually set smaller values when state.getLength()
is large,
and larger values when state.getLength()
is small.
computeNorm
in class Similarity
state
- current processing state for this fieldpublic Similarity.SimWeight computeWeight(float queryBoost, CollectionStatistics collectionStats, TermStatistics... termStats)
Similarity
computeWeight
in class Similarity
queryBoost
- the query-time boost.collectionStats
- collection-level statistics, such as the number of tokens in the collection.termStats
- term-level statistics, such as the document frequency of a term across the collection.public Similarity.SimScorer simScorer(Similarity.SimWeight stats, AtomicReaderContext context) throws IOException
Similarity
Similarity.SimScorer
to score matching documents from a segment of the inverted index.simScorer
in class Similarity
stats
- collection information from Similarity.computeWeight(float, CollectionStatistics, TermStatistics...)
context
- segment of the inverted index to be scored.context
IOException
- if there is a low-level I/O errorCopyright © 2000-2014 Apache Software Foundation. All Rights Reserved.