org.terrier.matching.models

Class PL2F

java.lang.Object

org.terrier.matching.models.WeightingModel

org.terrier.matching.models.PerFieldNormWeightingModel

org.terrier.matching.models.PL2F

All Implemented Interfaces:

Serializable, Cloneable, Model

public class PL2F
extends PerFieldNormWeightingModel

A convenience subclass of PerFieldNormWeightingModel setup to do specifically PL2F. If you use this model, please cite: C. Macdonald, V. Plachouras, B. He, C. Lioma, and I. Ounis. University of Glasgow at WebCLEF-2005: Experiments in per-field normalisation and language specific stemming. In Proc. of CLEF 2005.

Since:

3.0

Author:

Craig Macdonald

See Also:

Serialized Form

Field Summary

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

basicModel, fieldCount, fieldGlobalFrequencies, fieldNormalisations, fieldWeights, params

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
PL2F() Constructs an instance of PL2F.

Method Summary

Methods

Modifier and Type	Method and Description
String	getInfo() Returns the name of the model.

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

clone, prepare, score, score, setCollectionStatistics, setEntryStatistics

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

getOverflowed, getParameter, setKeyFrequency, setParameter, setRequest

Methods inherited from class java.lang.Object

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

Constructor Detail

PL2F

public PL2F()
     throws Exception

Constructs an instance of PL2F.

Throws:

Exception

Method Detail

getInfo

public String getInfo()

Returns the name of the model.

Specified by:

getInfo in interface Model

Overrides:

getInfo in class PerFieldNormWeightingModel

Returns:

java.lang.String