org.terrier.matching.models.basicmodel

Class BasicModel

java.lang.Object

org.terrier.matching.models.basicmodel.BasicModel

All Implemented Interfaces:

Serializable, Cloneable

Direct Known Subclasses:

B, BM, Br, DFR_BM, IF, In, In_exp, P

public abstract class BasicModel
extends Object
implements Serializable, Cloneable

This class provides a contract for implementing the basic models for randomness in the DFR framework, for use with the DFRWeightingModel class. This is referred to as the component -log(prob1) in the DFR framework.

Author:

Ben He

See Also:

DFRWeightingModel, Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Idf	i The class used for computing the idf values.
protected double	numberOfDocuments The number of documents in the whole collection.
protected double	numberOfTokens The number of tokens in the whole collection

Constructor Summary

Constructors

Constructor and Description
BasicModel() A default constructor that initialises the idf i attribute

Method Summary

Methods

Modifier and Type	Method and Description
BasicModel	clone() Clone this weighting model
abstract String	getInfo() Returns the name of the model.
abstract double	score(double tf, double documentFrequency, double termFrequency, double keyFrequency, double documentLength) This method provides the contract for implementing weighting models.
void	setNumberOfDocuments(double numOfDocs) Sets the number of documents in the collection.
void	setNumberOfTokens(double numTokens) Set the number of tokens in the collection.
double	stirlingPower(double n, double m) This method provides the contract for implementing the Stirling formula for the power series.

Methods inherited from class java.lang.Object

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

Field Detail

i

protected Idf i

The class used for computing the idf values.

numberOfDocuments

protected double numberOfDocuments

The number of documents in the whole collection.

numberOfTokens

protected double numberOfTokens

The number of tokens in the whole collection

Constructor Detail

BasicModel

public BasicModel()

A default constructor that initialises the idf i attribute

Method Detail

clone

public BasicModel clone()

Clone this weighting model

Overrides:

clone in class Object

getInfo

public abstract String getInfo()

Returns the name of the model.

Returns:

java.lang.String

setNumberOfDocuments

public void setNumberOfDocuments(double numOfDocs)

Sets the number of documents in the collection.

Parameters:

numOfDocs - the number of documents in the collection.

setNumberOfTokens

public void setNumberOfTokens(double numTokens)

Set the number of tokens in the collection.

Parameters:

numTokens - double The number of tokens in the collection.

score

public abstract double score(double tf,
           double documentFrequency,
           double termFrequency,
           double keyFrequency,
           double documentLength)

This method provides the contract for implementing weighting models.

Parameters:

tf - The term frequency in the document

documentFrequency - The document frequency of the term

termFrequency - The term frequency of the term in the collection

keyFrequency - The normalised query term frequency.

documentLength - The length of the document.

Returns:

the score returned by the implemented weighting model.

stirlingPower

public double stirlingPower(double n,
                   double m)

This method provides the contract for implementing the Stirling formula for the power series.

Parameters:

n - The parameter of the Stirling formula.

m - The parameter of the Stirling formula.

Returns:

the approximation of the power series