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Terrier IR Platform 1.1.1  | 
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| Packages that use WeightingModel | |
|---|---|
| uk.ac.gla.terrier.matching.models | Provides the classes that implement various classical IR models, as well as models from the Divergence From Randomness (DFR) framework. | 
| Uses of WeightingModel in uk.ac.gla.terrier.matching.models | 
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| Subclasses of WeightingModel in uk.ac.gla.terrier.matching.models | |
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 class | 
BB2
This class implements the BB2 weighting model.  | 
 class | 
BM25
This class implements the BM25 weighting model.  | 
 class | 
DFR_BM25
This class implements the DFR_BM25 weighting model.  | 
 class | 
DFRWeightingModel
This class implements a modular DFR model.  | 
 class | 
DLH
This class implements the DLH weighting model.  | 
 class | 
DLH13
This class implements the DLH13 weighting model.  | 
 class | 
Hiemstra_LM
This class implements the Hiemstra LM weighting model.  | 
 class | 
IFB2
This class implements the IFB2 weighting model.  | 
 class | 
In_expB2
This class implements the PL2 weighting model.  | 
 class | 
In_expC2
This class implements the In_expC2 weighting model.  | 
 class | 
InL2
This class implements the InL2 weighting model.  | 
 class | 
LemurTF_IDF
This class implements the TF_IDF weighting model as it is implemented in Lemur.  | 
 class | 
PL2
This class implements the PL2 weighting model.  | 
 class | 
TF_IDF
This class implements the TF_IDF weighting model.  | 
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Terrier IR Platform 1.1.1  | 
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