Uses of Class
uk.ac.gla.terrier.matching.models.WeightingModel

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

Subclasses of WeightingModel in uk.ac.gla.terrier.matching.models

class	BB2 This class implements the BB2 weighting model.
class	BM25 This class implements the Okapi BM25 weighting model.
class	DFR_BM25 This class implements the DFR_BM25 weighting model.
class	DFRee This class implements the DFRee 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.