Uses of Interface
org.terrier.matching.Model

Packages that use Model

Package	Description
org.terrier.matching.models	Provides the classes that implement various weighting models.
org.terrier.matching.models.dependence	Weighting models for term dependence models
org.terrier.matching.tsms	Provides the interface and classes that implement the term score modifiers, which modify the scores assigned to documents for a particular term.
org.terrier.querying	Provides the interfaces and classes for the querying API of the Terrier platform, the controls, post processors and filters.

Uses of Model in org.terrier.matching.models

Classes in org.terrier.matching.models that implement Model

Modifier and Type	Class	Description
class	BB2	This class implements the BB2 weighting model.
class	BM25	This class implements the Okapi BM25 weighting model.
class	BM25F	A convenience subclass of PerFieldNormWeightingModel setup to do specifically BM25F, as described by [Zaragoza TREC-2004].
class	CoordinateMatch	A weighting model that returns 1 for each match.
class	DFIC	Divergence From Independence model based on Chi-square statistics (i.e., standardized Chi-squared distance from independence in term frequency tf).
class	DFIZ	Divergence From Independence model based on Standardization (i.e., standardized distance from independence in term frequency tf).
class	DFR_BM25	This class implements the DFR_BM25 weighting model.
class	DFRee	This class implements the DFRee weighting model.
class	DFReeKLIM	This class implements the DFReeKLIM weighting model.
class	DFRWeightingModel	This class implements a modular Divergence from Randomness weighting model.
class	DirichletLM	Bayesian smoothing with Dirichlet Prior.
class	Dl	This class implements a simple document length weighting model.
class	DLH	This class implements the DLH weighting model.
class	DLH13	This class implements the DLH13 weighting model.
class	DPH	This class implements the DPH hypergeometric 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 In_expB2 weighting model, namely Inverse Expected Document Frequency model with Bernoulli after-effect and normalisation 2.
class	In_expC2	This class implements the In_expC2 weighting model.
class	InB2	This class implements the InB2 weighting model, namely Inverse Document Frequency model with Bernoulli after-effect and normalisation 2.
class	InL2	This class implements the InL2 weighting model.
class	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.
class	LemurTF_IDF	This class implements the TF_IDF weighting model as it is implemented in Lemur.
class	LGD	This class implements the LGD weighting model.
class	MDL2	This class implements the MDL2 field-based weighting model.
class	ML2	This class implements the ML2 field-based weighting model.
class	Null	A weighting model that returns 0 for each match.
class	PerFieldNormWeightingModel	A class for generating arbitrary per-field normalisation models.
class	PL2	This class implements the PL2 weighting model.
class	PL2F	A convenience subclass of PerFieldNormWeightingModel setup to do specifically PL2F.
class	SingleFieldModel	Use a normal weighting model on a pre-determine subset of the field.
class	StaticFeature	Class for query independent features loaded from file.
class	StaticScoreModifierWeightingModel	Base abstract class for query independent features loaded from file.
class	Tf	This class implements a simple Tf weighting model.
class	TF_IDF	This class implements the TF_IDF weighting model.
class	WeightingModel	This class should be extended by the classes used for weighting terms and documents.
class	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.

Uses of Model in org.terrier.matching.models.dependence

Classes in org.terrier.matching.models.dependence that implement Model

Modifier and Type	Class	Description
class	MRF
class	pBiL
class	pBiL2

Uses of Model in org.terrier.matching.tsms

Classes in org.terrier.matching.tsms that implement Model

Modifier and Type	Class	Description
class	RequiredTermModifier	Resets the scores of documents according to whether a term is required or not, and whether it appears in the retrieved documents.
class	TermInFieldModifier	Resets the scores of documents according to whether a term appears in a given set of fields.

Uses of Model in org.terrier.querying

Methods in org.terrier.querying that return Model

Modifier and Type	Method	Description
protected static Model	LocalManager.getWeightingModel(Request rq)	Returns the weighting model requested by the Request from the WeightingModel factory.