org.terrier.matching.models.dependence

Class pBiL

java.lang.Object

org.terrier.matching.models.WeightingModel

org.terrier.matching.models.dependence.pBiL

All Implemented Interfaces:

Serializable, Cloneable, Model

Direct Known Subclasses:

pBiL2

public class pBiL
extends WeightingModel

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected static GammaFunction	gf
protected static double	REC_LOG_2

Fields inherited from class org.terrier.matching.models.WeightingModel

averageDocumentLength, c, cs, documentFrequency, es, i, keyFrequency, numberOfDocuments, numberOfPointers, numberOfTokens, numberOfUniqueTerms, rq, termFrequency

Constructor Summary

Constructors

Constructor and Description
pBiL()
pBiL(int _ngramLength)

Method Summary

Modifier and Type	Method and Description
String	getInfo() Returns the name of the model.
double	score(double matchingNGrams, double docLength) This method provides the contract for implementing weighting models.
void	setEntryStatistics(EntryStatistics _es) Sets entry statistics.

Methods inherited from class org.terrier.matching.models.WeightingModel

clone, getOverflowed, getParameter, prepare, score, setCollectionStatistics, setKeyFrequency, setParameter, setRequest

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

REC_LOG_2

protected static final double REC_LOG_2

gf

protected static final GammaFunction gf

Constructor Detail

pBiL

public pBiL()

pBiL

public pBiL(int _ngramLength)

Method Detail

getInfo

public String getInfo()

Description copied from class: WeightingModel

Returns the name of the model.

Specified by:

getInfo in interface Model

Specified by:

getInfo in class WeightingModel

Returns:

java.lang.String

setEntryStatistics

public void setEntryStatistics(EntryStatistics _es)

Description copied from class: WeightingModel

Sets entry statistics.

Overrides:

setEntryStatistics in class WeightingModel

score

public double score(double matchingNGrams,
                    double docLength)

Description copied from class: WeightingModel

This method provides the contract for implementing weighting models.

Specified by:

score in class WeightingModel

Parameters:

matchingNGrams - The term frequency in the document

docLength - the document's length

Returns:

the score assigned to a document with the given tf and docLength, and other preset parameters