Terrier IR Platform
2.2.1

Uses of Class
uk.ac.gla.terrier.matching.models.basicmodel.BasicModel

Packages that use BasicModel
uk.ac.gla.terrier.matching.models.basicmodel Provides the interface and the classes for implementing the basic models for randomness in the DFR framework. 
 

Uses of BasicModel in uk.ac.gla.terrier.matching.models.basicmodel
 

Subclasses of BasicModel in uk.ac.gla.terrier.matching.models.basicmodel
 class B
          This class implements the B basic model for randomness.
 class BM
          This class implements the BM weighting model, which generates the original weight given by the BM25 formula, without frequency normalisation and query term weighting.
 class Br
          This class implements the Bernoulli model of randomness
 class IF
          This class implements the IF basic model for randomness.
 class In
          This class implements the In basic model for randomness.
 class In_exp
          This class implements the In_exp basic model for randomness.
 class P
          This class implements the P basic model for randomness.
 


Terrier IR Platform
2.2.1

Terrier Information Retrieval Platform 2.2.1. Copyright 2004-2008 University of Glasgow