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Description
Class Summary  

BB2  This class implements the BB2 weighting model. 
BM25  This class implements the Okapi BM25 weighting model. 
BM25F  A convenience subclass of PerFieldNormWeightingModel setup to do specifically BM25F, as described by [Zaragoza TREC2004]. 
DFI0  Implementation of the basic Divergence from Independence model. 
DFR_BM25  This class implements the DFR_BM25 weighting model. 
DFRee  This class implements the DFRee weighting model. 
DFRWeightingModel  This class implements a modular Divergence from Randomness weighting model. 
DirichletLM  Bayesian smoothing with Dirichlet Prior. 
DLH  This class implements the DLH weighting model. 
DLH13  This class implements the DLH13 weighting model. 
DPH  This class implements the DPH hypergeometric weighting model. 
Hiemstra_LM  This class implements the Hiemstra LM weighting model. 
Idf  This class computes the idf values for specific terms in the collection. 
IFB2  This class implements the IFB2 weighting model. 
In_expB2  This class implements the PL2 weighting model. 
In_expC2  This class implements the In_expC2 weighting model. 
InB2  This class implements the PL2 weighting model. 
InL2  This class implements the InL2 weighting model. 
Js_KLs  This class implements the Js_KLs weighting model, which is the product of two measures: the Jefrreys' divergence with the Kullback Leibler's divergence. 
LemurTF_IDF  This class implements the TF_IDF weighting model as it is implemented in Lemur. 
LGD  This class implements the LGD weighting model. 
MDL2  This class implements the MDL2 fieldbased weighting model. 
ML2  This class implements the ML2 fieldbased weighting model. 
PerFieldNormWeightingModel  A class for generating arbitrary perfield normalisation models. 
PL2  This class implements the PL2 weighting model. 
PL2F  A convenience subclass of PerFieldNormWeightingModel setup to do specifically PL2F. 
TF_IDF  This class implements the TF_IDF weighting model. 
WeightingModel  This class should be extended by the classes used for weighting terms and documents. 
WeightingModelFactory  A factory method for handling the initialisation of weighting models. 
XSqrA_M  This class implements the XSqrA_M weighting model, which computed the inner product of Pearson's X^2 with the information growth computed with the multinomial M. 
Provides the classes that implement various weighting models. Generally, the models fall into two classes:


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