Uses of Class
org.terrier.matching.models.WeightingModel

Packages that use WeightingModel

Package	Description
org.terrier.matching	Provides the classes and interfaces used for matching documents to queries.
org.terrier.matching.matchops	This package contains matching Operators.
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.parser	Provides the parser specification and the classes that implement the query language of the Terrier platform.

Uses of WeightingModel in org.terrier.matching

Fields in org.terrier.matching declared as WeightingModel

Modifier and Type	Field and Description
protected WeightingModel	MatchingQueryTerms.defaultWeightingModel default weighting model for all terms
protected WeightingModel[]	FeaturedScoringMatching.qiFeatures
protected WeightingModel	AbstractScoringMatching.wm

Fields in org.terrier.matching with type parameters of type WeightingModel

Modifier and Type	Field and Description
protected List<WeightingModel>	PostingListManager.termModels weighting models for each term
List<WeightingModel>	MatchingQueryTerms.QueryTermProperties.termModels The term score modifiers associated with a particular query term.

Methods in org.terrier.matching with parameters of type WeightingModel

Modifier and Type	Method and Description
void	MatchingQueryTerms.setDefaultTermWeightingModel(WeightingModel weightingModel) Set the default weighting model to be used for terms that do NOT have an explicit WeightingModel set.
void	MatchingQueryTerms.setTermProperty(Operator term, double weight, WeightingModel tsm) Sets the weight and a term score modifier for the given query term.
void	MatchingQueryTerms.setTermProperty(Operator term, WeightingModel tsm) Sets a term score modifier for the given query term.

Constructors in org.terrier.matching with parameters of type WeightingModel

Constructor and Description
AbstractScoringMatching(Index _index, Matching _parent, WeightingModel _wm)
AbstractScoringMatching(Index _index, Matching _parent, WeightingModel _wm, Predicate<org.apache.commons.lang3.tuple.Pair<String,Set<String>>> _filter)
FatScoringMatching(Index _index, Matching _parent, WeightingModel _wm)
FatScoringMatching(Index _index, Matching _parent, WeightingModel _wm, Predicate<org.apache.commons.lang3.tuple.Pair<String,Set<String>>> _filter)
QueryTermProperties(int _index, double w, WeightingModel model) A constructor for setting the weight and a term score modifier for a term.
QueryTermProperties(int _index, double w, WeightingModel model, EntryStatistics _stats) A constructor for setting a weight, a term score modifier and the term code for a query term.
QueryTermProperties(int _index, WeightingModel model) A constructor for setting a term score modifier for a term.
QueryTermProperties(int _index, WeightingModel model, EntryStatistics _stats) A constructor for setting a term score modifier for a term and its term code.
ScoringMatching(Index _index, Matching _parent, WeightingModel _wm)
ScoringMatching(Index _index, Matching _parent, WeightingModel _wm, Predicate<org.apache.commons.lang3.tuple.Pair<String,Set<String>>> _filter)

Uses of WeightingModel in org.terrier.matching.matchops

Methods in org.terrier.matching.matchops that return WeightingModel

Modifier and Type	Method and Description
WeightingModel[]	MatchingEntry.getWmodels()

Constructors in org.terrier.matching.matchops with parameters of type WeightingModel

Constructor and Description
MatchingEntry(IterablePosting postingIterator, EntryStatistics entryStats, double keyFreq, WeightingModel[] wmodels, org.terrier.matching.matchops.MatchingEntry.Requirement required, Set<String> tags)

Uses of WeightingModel in org.terrier.matching.models

Subclasses of WeightingModel in org.terrier.matching.models

Modifier and Type	Class and 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	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
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	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.

Methods in org.terrier.matching.models that return WeightingModel

Modifier and Type	Method and Description
WeightingModel	WeightingModel.clone() Clone this weighting model
static WeightingModel	WeightingModelFactory.newInstance(String name) Returns the requested weighting model.
static WeightingModel	WeightingModelFactory.newInstance(String name, Index index) Returns the requested weighting model for the specified index.

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

Subclasses of WeightingModel in org.terrier.matching.models.dependence

Modifier and Type	Class and Description
class	MRF
class	pBiL
class	pBiL2

Uses of WeightingModel in org.terrier.matching.tsms

Subclasses of WeightingModel in org.terrier.matching.tsms

Modifier and Type	Class and 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 WeightingModel in org.terrier.querying.parser

Methods in org.terrier.querying.parser with parameters of type WeightingModel

Modifier and Type	Method and Description
Query.QTPBuilder	Query.QTPBuilder.addWeightingModel(WeightingModel wm)

Method parameters in org.terrier.querying.parser with type arguments of type WeightingModel

Modifier and Type	Method and Description
Query.QTPBuilder	Query.QTPBuilder.setWeightingModels(List<WeightingModel> wms)