lemur::distrib::MultiRegrMergeMethod Class Reference

Implementation of regression merging method for single database type case. More...

#include <MultiRegrMergeMethod.hpp>

Inheritance diagram for lemur::distrib::MultiRegrMergeMethod:

List of all members.

Public Member Functions
	MultiRegrMergeMethod (double constA=0.714, double constB=0.2857)
	the default values of constA and constB are the values of CORI merging algorithm
	~MultiRegrMergeMethod ()
void	mergeScoreSet (const lemur::api::IndexedRealVector &indexset, const DocScoreVector *const *scoreset, DocScoreVector &results)
void	calcRegrParams (const lemur::api::IndexedRealVector &indexset, const DocScoreVector *centralscores, const DocScoreVector *const *scoresset)
Protected Member Functions
virtual double	score (double dbscore, double docscore, int dbIndex) const
	create a score for the merge based on the index ranking score and the document score
virtual double	score (double dbscore, double docscore) const
	create a score for the merge based on the index ranking score and the document score
Protected Attributes
double *	parama
	The model parameters.
double *	paramb
double	defParamA
double	defParamB

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Detailed Description

Implementation of regression merging method for single database type case.

(All the individual databases are using Inquery(CORI) retrieval algorithm. Build a single regression model for all the databases. When there is not enough training data, the algorithm backs off to CORI results merging algorithm. Assume all the documents scores have been normalized See RetrievalMethod for database ranking algorithms (CORIRetMethod). See DistSearchMethod for multiple individual database retrieval. See CORIMergeMethod for CORI results merging algorithm

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Constructor & Destructor Documentation

lemur::distrib::MultiRegrMergeMethod::MultiRegrMergeMethod (  double  constA = 0.714, double  constB = 0.2857 )

the default values of constA and constB are the values of CORI merging algorithm

lemur::distrib::MultiRegrMergeMethod::~MultiRegrMergeMethod (   )

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Member Function Documentation

void lemur::distrib::MultiRegrMergeMethod::calcRegrParams (  const lemur::api::IndexedRealVector &  indexset, const DocScoreVector *  centralscores, const DocScoreVector *const *  scoresset )

void lemur::distrib::MultiRegrMergeMethod::mergeScoreSet (  const lemur::api::IndexedRealVector &  indexset, const DocScoreVector *const *  scoreset, DocScoreVector &  results )  [virtual]

calculate the single regression model for all the databases indexset are the database scores for selected databases centralsocres are the central documents scores retrieved by centralized sampling database scoresset are the distributed documents scores retrieved by individual databases Reimplemented from lemur::distrib::DistMergeMethod.

double lemur::distrib::MultiRegrMergeMethod::score (  double  dbscore, double  docscore )  const [protected, virtual]

create a score for the merge based on the index ranking score and the document score Implements lemur::distrib::DistMergeMethod.

double lemur::distrib::MultiRegrMergeMethod::score (  double  dbscore, double  docscore, int  dbIndex )  const [protected, virtual]

create a score for the merge based on the index ranking score and the document score

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Member Data Documentation

double lemur::distrib::MultiRegrMergeMethod::defParamA [protected]

double lemur::distrib::MultiRegrMergeMethod::defParamB [protected]

double* lemur::distrib::MultiRegrMergeMethod::parama [protected]

The model parameters.

double* lemur::distrib::MultiRegrMergeMethod::paramb [protected]

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

• MultiRegrMergeMethod.hpp
• MultiRegrMergeMethod.cpp

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