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.
@lucene.experimental
Inherited Members
Assembly: DistributedLucene.Net.dll
Syntax
public class BasicModelD : BasicModelConstructors
| Name | Description |
|---|---|
| BasicModelD() | Sole constructor: parameter-free |
Methods
| Name | Description |
|---|---|
| Score(BasicStats, Single) | |
| ToString() |
