CQInvertedFile Class Reference

[CADIHash.h Index] [CADIHash.h Hierarchy]


The Query manager for Queries on inverted Files More...

#include <>

Inherits: CQuery

Public Members

Protected Members


void finishInit()

finish the initialisation phase make the weighting function know who its normalizers are

CQInvertedFile(CAccessorCollection& inAccessorCollection, CAlgorithm& inAlgorithm)

New constructor, taking as parameter the algorithm structure, which contains all the algorithm configuration

virtual bool setAlgorithm(CAlgorithm& inAlgorithm)

set the Algorithm. same scheme as in setCollection

virtual CIDRelevanceLevelPairList* fastQuery(const CXMLElement& inQuery, int inNumberOfInterestingImages, double inDifferenceToBest)

instead of URL/RelevanceLevel pairs; this is faster for merging tasks (to explain the name) queries for URLs are answered by query (in herited)

virtual CIDRelevanceLevelPairList* fastQueryByFeature(const CWeightingFunctionPointerList& inQuery, int inNumberOfInterestingImages, double inDifferenceToBest)

Assuming that a correct CWeightingFunctionPointerHash has been built by fastQuery (or another function), this function will do the rest

double DIDToScore(TID inDID, const CWeightingFunctionPointerHash& inQuery)

Returns the score for one image in the query

double URLToScore(const string& inURL, const CWeightingFunctionPointerHash& inQuery)

Returns the score for one image in the query

double FeatureListToScore(TID inDID, const CDocumentFrequencyList& inFeatureList, const CWeightingFunctionPointerHash& inQuery)

Turns the featurelist of a document into a score.

void activateBlockingFeatures()

activateBlockingFeatures - sets the variable to block groups of features

void releaseBlockingFeatures()

releaseBlockingFeatures - this turns off the blocking of features

bool featuresBlocked()

featuresBlocked - returns true if the features are blocked

void blockFeatureGroup(const int featureNumber)

blockFeatureGroup - this blocks one special group of features

void unblockFeatureGroup(const int featureNumber)

unblockFeatureGroup - this releases the blocking of one feature group

bool isBlocked(const int featureNumber)

isBlocked - returns true if the feature is blocked and false if not

bool mPruningUsed

Shows if any pruning is used

bool mScoreBoardPruningUsed

true if the scoreboardis Pruned

double reduceTo

reduce the scoreboard to a factor of the number of images you want to retrieve

int mNumberofUsedScoreBoardPrunings

@Author Henning Müller

double mPercentageofFeatures

@Author Henning Müller

double mStoppingTime

@Author Henning Müller

void releaseAllPrunings()

sets back all the variables for the pruning

@Author Henning Müller

void useFeaturePruning(double percentage)

activates the feature pruning with evaluating a certain percentage of the features

@Author Henning Müller

void releaseFeaturePruning()

set the variables back to its normal status

@Author Henning Müller

void useTimePruning(double inTimeCutoffPoint)

activates the time pruning with the give cuOffPoint

@Author Henning Müller

void releaseTimePruning()

releases the timePruning

@Author Henning Müller

void useScoreBoardPruning(double inCutAfterFraction, double inReduceToFactor)

creates one entry in the scoreboardPruning

@Author Henning Müller

void releaseScoreBoardPruning()

releases all the settings for the ScorboardPruning

@Author Henning Müller

void useEvaluateAfterPruning()

activates the evaluation after the scoreboardPruning

@Author Henning Müller

void releaseEvaluateAfterPruning()

releases the evaluation after the scoreboard pruning

@Author Henning Müller

CWeighter& getWeighter()

For FerDeLance queries

int mModulo

You can choose to use only every lModulo-th feature

int mModuloClass

Every lModulo-th feature, starting at lModuloClass

CWeighterFactory mWeighterFactory

This is a factory for weighters. With this we can find the weighters

mQueryFeatureWeighters

object of this type to have a list of the features with the weights

double keepScore(CScoreBoard& inoutScoreBoard, const CWeightingFunctionPointerList& inFeatures, bool lPositive)

calculates the score for all the images based on a list of features

double keepScorePruning(CScoreBoard& inoutScoreBoard, const CWeightingFunctionPointerList& inFeatures, bool inPositive, int inDesiredNumberOfDocuments)

calculates the results for the images using some sort of pruning

void buildQueryHash(CRelevanceLevelList& inQuery, CWeightingFunctionPointerHash& outQueryFeatureWeighters)

are in one or more of the query images should be replaced by a version which operates on IDs not URLs

void buildNormalizedQueryList(double inPositiveRelevanceSum, double inNegativeRelevanceSum, CWeightingFunctionPointerHash& inQFW, CWeightingFunctionPointerList& outQFW)

Building a list of normalized WF from a hash of Weighting functions

void buildNormalizedQueryHash(double inPositiveRelevanceSum, double inNegativeRelevanceSum, CWeightingFunctionPointerHash& inQFW)

Building a list of normalized WF from a hash of Weighting functions

void init()

Initializer, used by both construcors


Documentation generated by muellerw@pc7170 on Son Okt 8 16:04:40 CEST 2000
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