Class BasicModelD

Implements the approximation of the binomial model with the divergence for DFR. The formula used in Lucene differs slightly from the one in the original paper: to avoid underflow for small values of N and F, N is increased by 1 and F is always increased by tfn+1.

WARNING: for terms that do not meet the expected random distribution (e.g. stopwords), this model may give poor performance, such as abnormally high scores for low tf values.

This is a Lucene.NET EXPERIMENTAL API, use at your own risk
Inheritance
System.Object
BasicModel
BasicModelD
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
Namespace: Lucene.Net.Search.Similarities
Assembly: Lucene.Net.dll
Syntax
public class BasicModelD : BasicModel

Constructors

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BasicModelD()

Sole constructor: parameter-free

Declaration
public BasicModelD()

Methods

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Score(BasicStats, Single)

Declaration
public override sealed float Score(BasicStats stats, float tfn)
Parameters
Type Name Description
BasicStats stats
System.Single tfn
Returns
Type Description
System.Single
Overrides
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ToString()

Declaration
public override string ToString()
Returns
Type Description
System.String
Overrides