Class RankFeatureSigmoidFunctionDescriptor

is an extension of saturation which adds a configurable exponent. Scores are computed as S^exp^ / (S^exp^ + pivot^exp^). Like for the saturation function, pivot is the value of S that gives a score of 0.5 and scores are in (0, 1).

exponent must be positive, but is typically in [0.5, 1]. A good value should be computed via training. If you don’t have the opportunity to do so, we recommend that you stick to the saturation function instead.

Inheritance

object

DescriptorBase<RankFeatureSigmoidFunctionDescriptor, IRankFeatureSigmoidFunction>

RankFeatureSigmoidFunctionDescriptor

Implements

IDescriptor

IRankFeatureSigmoidFunction

IRankFeatureFunction

Inherited Members

DescriptorBase<RankFeatureSigmoidFunctionDescriptor, IRankFeatureSigmoidFunction>.Self

DescriptorBase<RankFeatureSigmoidFunctionDescriptor, IRankFeatureSigmoidFunction>.Assign<TValue>(TValue, Action<IRankFeatureSigmoidFunction, TValue>)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: OpenSearch.Client

Assembly: OpenSearch.Client.dll

Syntax

public class RankFeatureSigmoidFunctionDescriptor : DescriptorBase<RankFeatureSigmoidFunctionDescriptor, IRankFeatureSigmoidFunction>, IDescriptor, IRankFeatureSigmoidFunction, IRankFeatureFunction

Methods

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Exponent(float)

The exponent. Must be positive

Declaration

public RankFeatureSigmoidFunctionDescriptor Exponent(float exponent)

Parameters

Type	Name	Description
float	exponent

Returns

Type	Description
RankFeatureSigmoidFunctionDescriptor