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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 (DOCID_T docID, int dl, const UnigramLM &collectLM, const double *docProbMass, double priorWordCount, SimpleKLParameter::SmoothStrategy smthStrategy=SimpleKLParameter::INTERPOLATE)
virtual	~DirichletPriorDocModel ()
virtual double	unseenCoeff () const
	a(d)
virtual double	seenProb (double termFreq, TERMID_T termID) const
	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 (  DOCID_T    docID, int    dl, const UnigramLM &    collectLM, const double *    docProbMass, double    priorWordCount, SimpleKLParameter::SmoothStrategy    smthStrategy = SimpleKLParameter::INTERPOLATE )  [inline]

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

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Member Function Documentation

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

p(w|d), w seen Implements SimpleKLDocModel.

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

a(d) Implements SimpleKLDocModel.

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

• SimpleKLDocModel.hpp

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