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    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.

    Note

    This API is experimental and might change in incompatible ways in the next release.

    Inheritance
    System.Object
    BasicModel
    BasicModelD
    Inherited Members
    BasicModel.Explain(BasicStats, Single)
    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 sealed override float Score(BasicStats stats, float tfn)
    Parameters
    Type Name Description
    BasicStats stats
    System.Single tfn
    Returns
    Type Description
    System.Single
    Overrides
    BasicModel.Score(BasicStats, Single)
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    ToString()

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