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Terrier IR Platform 2.2.1 |
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Packages that use BasicModel | |
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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 |
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Subclasses of BasicModel in uk.ac.gla.terrier.matching.models.basicmodel | |
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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. |
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Terrier IR Platform 2.2.1 |
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