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.daat	Provides classes that implement a document-at-a-time (DAAT) matching strategy.
org.terrier.matching.models	Provides the classes that implement various weighting models.
org.terrier.matching.taat	Provides classes that implement a term-at-a-time (TAAT) matching strategy.
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.

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[][]	BaseMatching.wm

Methods in org.terrier.matching that return WeightingModel

Modifier and Type	Method and Description
WeightingModel[]	MatchingQueryTerms.getTermWeightingModels(String term) Returns the weighting models to be used for a given term.

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

Modifier and Type	Method and Description
void	PostingListManager.addSingleTerm(String queryTerm, double weight, EntryStatistics entryStats, WeightingModel[] wmodels) Add a single term to those to be matched for this query.
void	PostingListManager.addSingleTermAlternatives(String[] terms, String stringForm, double weight, EntryStatistics[] entryStats, WeightingModel[] wmodels) Adds a synonym group to the matching process.
void	PostingListManager.addSingleTermAlternatives(String[] terms, String stringForm, double weight, EntryStatistics entryStats, WeightingModel[] wmodels) Adds a synonym group to the matching process.
void	MatchingQueryTerms.setDefaultTermWeightingModel(WeightingModel weightingModel) Set the default weighting model to be used for all terms
void	MatchingQueryTerms.setTermProperty(String term, double weight, WeightingModel tsm) Sets the weight and a term score modifier for the given query term.
void	MatchingQueryTerms.setTermProperty(String 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
FatScoringMatching(Index _index, Matching _parent, WeightingModel _wm)
MatchingQueryTerms.QueryTermProperties(int _index, double w, WeightingModel model) A constructor for setting the weight and a term score modifier for a term.
MatchingQueryTerms.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.
MatchingQueryTerms.QueryTermProperties(int _index, WeightingModel model) A constructor for setting a term score modifier for a term.
MatchingQueryTerms.QueryTermProperties(int _index, WeightingModel model, EntryStatistics _stats) A constructor for setting a term score modifier for a term and its term code.

Uses of WeightingModel in org.terrier.matching.daat

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

Modifier and Type	Method and Description
protected double	FullNoPLM.scoreIt(WeightingModel[] wModels, Posting posting) calculate the score for this posting using the specified weighting models

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	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.taat

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

Modifier and Type	Method and Description
protected void	FullNoPLM.assignScores(int i, WeightingModel[] wModels, AccumulatorResultSet rs, IterablePosting postings)

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.