#include <CQInvertedFile.h>
Inheritance diagram for CQInvertedFile:

Public Member Functions | |
| void | finishInit () |
| finish the initialisation phase make the weighting function know who its normalizers are | |
| CQInvertedFile (CAccessorAdminCollection &inAccessorAdminCollection, CAlgorithm &inAlgorithm) | |
| New constructor, taking as parameter the algorithm structure, which contains all the algorithm configuration. | |
| ~CQInvertedFile () | |
| destructor | |
| virtual bool | setAlgorithm (CAlgorithm &inAlgorithm) |
| set the Algorithm. | |
| virtual CIDRelevanceLevelPairList * | fastQuery (const CXMLElement &inQuery, int inNumberOfInterestingImages, double inDifferenceToBest) |
| a query which returns ID/RelevanceLevel pairs instead of 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) const |
| Returns the score for one image in the query. | |
| double | URLToScore (const string &inURL, const CWeightingFunctionPointerHash &inQuery) const |
| Returns the score for one image in the query. | |
| double | FeatureListToScore (TID inDID, const CDocumentFrequencyList &inFeatureList, const CWeightingFunctionPointerHash &inQuery) const |
| Turns the featurelist of a document into a score. | |
| void | buildNormalizedQueryHash (const CRelevanceLevel &inQuery, CWeightingFunctionPointerHash &outQueryFeatureWeighters) const |
| void | activateBlockingFeatures () |
| activateBlockingFeatures - sets the variable to block groups of features | |
| void | releaseBlockingFeatures () |
| releaseBlockingFeatures - this turns off the blocking of features | |
| bool | featuresBlocked () const |
| 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) const |
| isBlocked - returns true if the feature is blocked and false if not | |
| void | releaseAllPrunings () |
| sets back all the variables for the pruning | |
| void | useFeaturePruning (double percentage) |
| activates the feature pruning with evaluating a certain percentage of the features | |
| void | releaseFeaturePruning () |
| set the variables back to its normal status | |
| void | useTimePruning (double inTimeCutoffPoint) |
| activates the time pruning with the give cuOffPoint | |
| void | releaseTimePruning () |
| releases the timePruning | |
| void | useScoreBoardPruning (double inCutAfterFraction, double inReduceToFactor) |
| creates one entry in the scoreboardPruning | |
| void | releaseScoreBoardPruning () |
| releases all the settings for the ScorboardPruning | |
| void | useEvaluateAfterPruning () |
| activates the evaluation after the scoreboardPruning | |
| void | releaseEvaluateAfterPruning () |
| releases the evaluation after the scoreboard pruning | |
| CWeighter & | getWeighter () |
| For FerDeLance queries. | |
Public Attributes | |
| bool | mBlockingOn |
| bool | mBlockingArray [MAXIMUMNUMBEROFEATUREGROUPS] |
| bool | mPruningUsed |
| Shows if any pruning is used. | |
| bool | mScoreBoardPruningUsed |
| true if the scoreboardis Pruned | |
| parameterPruningType | mScoreBoardPruningArray [MAX_SCOREBOARD_PRUNINGS] |
| Henning Müller | |
| int | mNumberofUsedScoreBoardPrunings |
| Henning Müller | |
| bool | mFeaturePruningUsed |
| double | mPercentageofFeatures |
| Henning Müller | |
| bool | mTimePruningUsed |
| double | mStoppingTime |
| Henning Müller | |
| bool | mEvaluateAfterPruning |
Static Public Attributes | |
| const int | MAXIMUMNUMBEROFEATUREGROUPS = 50 |
| const int | MAX_SCOREBOARD_PRUNINGS = 10 |
| These are the variables and functions used for the pruning process. | |
Protected Member Functions | |
| double | keepScore (CScoreBoard &inoutScoreBoard, const CWeightingFunctionPointerList &inFeatures, bool lPositive) const |
| calculates the score for all the images based on a list of features | |
| double | keepScorePruning (CScoreBoard &inoutScoreBoard, const CWeightingFunctionPointerList &inFeatures, bool inPositive, int inDesiredNumberOfDocuments) const |
| calculates the results for the images using some sort of pruning | |
| void | buildQueryHash (CRelevanceLevelList &inQuery, CWeightingFunctionPointerHash &outQueryFeatureWeighters) const |
| creates a list of all the features which 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) const |
| Building a list of normalized WF from a hash of Weighting functions. | |
| void | buildNormalizedQueryHash (double inPositiveRelevanceSum, double inNegativeRelevanceSum, CWeightingFunctionPointerHash &inQFW) const |
| Building a list of normalized WF from a hash of Weighting functions. | |
| void | init () |
| Initializer, used by both construcors. | |
Protected Attributes | |
| CAlgorithm * | mDeb |
| 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. | |
| CSelfDestroyPointer< CWeighter > | mWeighter |
| The weighter currently used. | |
| CSelfDestroyPointer< CWeightingFunctionPointerHash > | mQueryFeatureWeighters |
| object of this type to have a list of the features with the weights | |
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creates a list of all the features which are in one or more of the query images should be replaced by a version which operates on IDs not URLs
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calculates the score for all the images based on a list of features
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calculates the results for the images using some sort of pruning
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sets back all the variables for the pruning Henning Müller |
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releases the evaluation after the scoreboard pruning Henning Müller |
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set the variables back to its normal status Henning Müller |
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releases all the settings for the ScorboardPruning Henning Müller |
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releases the timePruning Henning Müller |
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set the Algorithm. same scheme as in setCollection Reimplemented from CQuery.
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activates the evaluation after the scoreboardPruning Henning Müller |
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activates the feature pruning with evaluating a certain percentage of the features Henning Müller |
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creates one entry in the scoreboardPruning Henning Müller |
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activates the time pruning with the give cuOffPoint Henning Müller |
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These are the variables and functions used for the pruning process. the maximum number of sets which can be used to prune the ScoreBoard |
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This is a factory for weighters. With this we can find the weighters |