Class RankFeatureLogarithmFunctionDescriptor

Gives a score that is equal to log(scaling_factor + S) where S is the value of the rank feature and scaling_factor is a configurable scaling factor. Scores are unbounded. This function only supports rank features that have a positive score impact.

Inheritance

object

DescriptorBase<RankFeatureLogarithmFunctionDescriptor, IRankFeatureLogarithmFunction>

RankFeatureLogarithmFunctionDescriptor

Implements

IDescriptor

IRankFeatureLogarithmFunction

IRankFeatureFunction

Inherited Members

DescriptorBase<RankFeatureLogarithmFunctionDescriptor, IRankFeatureLogarithmFunction>.Self

DescriptorBase<RankFeatureLogarithmFunctionDescriptor, IRankFeatureLogarithmFunction>.Assign<TValue>(TValue, Action<IRankFeatureLogarithmFunction, 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 RankFeatureLogarithmFunctionDescriptor : DescriptorBase<RankFeatureLogarithmFunctionDescriptor, IRankFeatureLogarithmFunction>, IDescriptor, IRankFeatureLogarithmFunction, IRankFeatureFunction

Methods

ScalingFactor(float)

The scaling factor

Declaration

public RankFeatureLogarithmFunctionDescriptor ScalingFactor(float scalingFactor)

Parameters

Type	Name	Description
float	scalingFactor

Returns

Type	Description
RankFeatureLogarithmFunctionDescriptor

Implements

IDescriptor

IRankFeatureLogarithmFunction

IRankFeatureFunction

Extension Methods

SuffixExtensions.Suffix(object, string)