public class DefaultSimilarity extends TFIDFSimilarity
Similarity.ExactSimScorer, Similarity.SimWeight, Similarity.SloppySimScorer
Modifier and Type  Field and Description 

protected boolean 
discountOverlaps
True if overlap tokens (tokens with a position of increment of zero) are
discounted from the document's length.

Constructor and Description 

DefaultSimilarity()
Sole constructor: parameterfree

Modifier and Type  Method and Description 

void 
computeNorm(FieldInvertState state,
Norm norm)
Implemented as
state.getBoost()*lengthNorm(numTerms) , where
numTerms is FieldInvertState.getLength() if setDiscountOverlaps(boolean) is false, else it's FieldInvertState.getLength()  FieldInvertState.getNumOverlap() . 
float 
coord(int overlap,
int maxOverlap)
Implemented as
overlap / maxOverlap . 
boolean 
getDiscountOverlaps()
Returns true if overlap tokens are discounted from the document's length.

float 
idf(long docFreq,
long numDocs)
Implemented as
log(numDocs/(docFreq+1)) + 1 . 
float 
queryNorm(float sumOfSquaredWeights)
Implemented as
1/sqrt(sumOfSquaredWeights) . 
float 
scorePayload(int doc,
int start,
int end,
BytesRef payload)
The default implementation returns
1 
void 
setDiscountOverlaps(boolean v)
Determines whether overlap tokens (Tokens with
0 position increment) are ignored when computing
norm.

float 
sloppyFreq(int distance)
Implemented as
1 / (distance + 1) . 
float 
tf(float freq)
Implemented as
sqrt(freq) . 
String 
toString() 
computeWeight, decodeNormValue, encodeNormValue, exactSimScorer, idfExplain, idfExplain, sloppySimScorer, tf
protected boolean discountOverlaps
public float coord(int overlap, int maxOverlap)
overlap / maxOverlap
.coord
in class TFIDFSimilarity
overlap
 the number of query terms matched in the documentmaxOverlap
 the total number of terms in the querypublic float queryNorm(float sumOfSquaredWeights)
1/sqrt(sumOfSquaredWeights)
.queryNorm
in class TFIDFSimilarity
sumOfSquaredWeights
 the sum of the squares of query term weightspublic void computeNorm(FieldInvertState state, Norm norm)
state.getBoost()*lengthNorm(numTerms)
, where
numTerms
is FieldInvertState.getLength()
if setDiscountOverlaps(boolean)
is false, else it's FieldInvertState.getLength()
 FieldInvertState.getNumOverlap()
.computeNorm
in class Similarity
state
 current processing state for this fieldnorm
 holds the computed norm value when this method returnspublic float tf(float freq)
sqrt(freq)
.tf
in class TFIDFSimilarity
freq
 the frequency of a term within a documentpublic float sloppyFreq(int distance)
1 / (distance + 1)
.sloppyFreq
in class TFIDFSimilarity
distance
 the edit distance of this sloppy phrase matchPhraseQuery.setSlop(int)
public float scorePayload(int doc, int start, int end, BytesRef payload)
1
scorePayload
in class TFIDFSimilarity
doc
 The docId currently being scored.start
 The start position of the payloadend
 The end position of the payloadpayload
 The payload byte array to be scoredpublic float idf(long docFreq, long numDocs)
log(numDocs/(docFreq+1)) + 1
.idf
in class TFIDFSimilarity
docFreq
 the number of documents which contain the termnumDocs
 the total number of documents in the collectionpublic void setDiscountOverlaps(boolean v)
computeNorm(org.apache.lucene.index.FieldInvertState, org.apache.lucene.index.Norm)
public boolean getDiscountOverlaps()
setDiscountOverlaps(boolean)
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