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Terrier IR Platform 1.1.1 |
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java.lang.Objectuk.ac.gla.terrier.matching.models.WeightingModel
uk.ac.gla.terrier.matching.models.DFRWeightingModel
public class DFRWeightingModel
This class implements a modular DFR model. Components in the model
are specified individually. Besides of the basic model, the other two
components can be either specified or disabled.
| Constructor Summary | |
|---|---|
DFRWeightingModel(java.lang.String[] components)
The default constructor. |
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| Method Summary | |
|---|---|
java.lang.String |
getInfo()
Returns the name of the model. |
double |
getParameter()
Return the parameter set by setParameter() |
double |
score(double tf,
double docLength)
Compute a weight for a term in a document. |
double |
score(double tf,
double docLength,
double documentFrequency,
double termFrequency,
double queryTermWeight)
Compute a weight for a term in a document. |
void |
setAverageDocumentLength(double avgDocLength)
Sets the average length of documents in the collection. |
void |
setDocumentFrequency(double docFreq)
Sets the document frequency of the term in the collection. |
void |
setNumberOfDocuments(double numOfDocs)
Sets the number of documents in the collection. |
void |
setNumberOfTokens(double value)
Set the number of tokens in the collection. |
void |
setNumberOfUniqueTerms(double number)
Set the number of unique terms in the collection. |
void |
setParameter(double value)
Set the frequency normalisation parameter. |
| Methods inherited from class uk.ac.gla.terrier.matching.models.WeightingModel |
|---|
setKeyFrequency, setNumberOfPointers, setTermFrequency, stirlingPower |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public DFRWeightingModel(java.lang.String[] components)
components - Corresponds to the names of the 3 DFR weighting models component
names, as passed to initialise().| Method Detail |
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public void setAverageDocumentLength(double avgDocLength)
setAverageDocumentLength in interface ModelsetAverageDocumentLength in class WeightingModelavgDocLength - The documents' average length.public void setNumberOfDocuments(double numOfDocs)
setNumberOfDocuments in interface ModelsetNumberOfDocuments in class WeightingModelnumOfDocs - the number of documents in the collection.public void setNumberOfTokens(double value)
setNumberOfTokens in interface ModelsetNumberOfTokens in class WeightingModelvalue - The number of tokens in the collection.public void setNumberOfUniqueTerms(double number)
setNumberOfUniqueTerms in interface ModelsetNumberOfUniqueTerms in class WeightingModelnumber - double The number of unique terms in the collection.public void setParameter(double value)
setParameter in interface ModelsetParameter in class WeightingModelvalue - The given parameter value.public double getParameter()
getParameter in interface ModelgetParameter in class WeightingModelpublic final java.lang.String getInfo()
getInfo in interface ModelgetInfo in class WeightingModelpublic void setDocumentFrequency(double docFreq)
setDocumentFrequency in class WeightingModeldocFreq - the document frequency of the term in the collection.
public final double score(double tf,
double docLength)
score in class WeightingModeltf - The term frequency in the documentdocLength - the document's length
public final double score(double tf,
double docLength,
double documentFrequency,
double termFrequency,
double queryTermWeight)
score in class WeightingModeltf - The term frequency in the documentdocLength - the document's lengthdocumentFrequency - The document frequency of the termtermFrequency - the term frequency in the collectionqueryTermWeight - the term frequency in the query
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Terrier IR Platform 1.1.1 |
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