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DirichletPriorDocModel Class Reference

Bayesian smoothing with Dirichlet prior. More...

#include <SimpleKLDocModel.hpp>

Inheritance diagram for DirichletPriorDocModel:

List of all members.

Public Methods
	DirichletPriorDocModel (int docID,Index *referenceIndex,UnigramLM &collectLM,double *docProbMass,double priorWordCount,SimpleKLParameter::SmoothStrategy smthStrategy=SimpleKLParameter::INTERPOLATE)
virtual	~DirichletPriorDocModel ()
virtual double	unseenCoeff ()
	a(d).
virtual double	seenProb (double termFreq,int termID)
	p(w|d), w seen.

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Detailed Description

Bayesian smoothing with Dirichlet prior.

 P(w|d) = (c(w;d)+mu*Pc(w))/(|d|+mu)

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Constructor & Destructor Documentation

DirichletPriorDocModel::DirichletPriorDocModel ( int docID, Index * referenceIndex, UnigramLM & collectLM, double * docProbMass, double priorWordCount, SimpleKLParameter::SmoothStrategy smthStrategy = SimpleKLParameter::INTERPOLATE ) [inline]

DirichletPriorDocModel::~DirichletPriorDocModel ( ) [inline, virtual]

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Member Function Documentation

double DirichletPriorDocModel::seenProb ( double termFreq, int termID ) [inline, virtual]

p(w|d), w seen. Reimplemented from SimpleKLDocModel.

double DirichletPriorDocModel::unseenCoeff ( ) [inline, virtual]

a(d). Reimplemented from SimpleKLDocModel.

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The documentation for this class was generated from the following file:

• SimpleKLDocModel.hpp

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