Class FeaturePosteriorDistribution

Represents the posterior distribution over feature weights.

Inheritance

Object

FeaturePosteriorDistribution

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.Probabilistic.Learners

Assembly: Microsoft.ML.Probabilistic.Learners.Recommender.dll

Syntax

public class FeaturePosteriorDistribution

Constructors

FeaturePosteriorDistribution(IList<Gaussian>, Gaussian)

Initializes a new instance of the FeaturePosteriorDistribution class.

Declaration

public FeaturePosteriorDistribution(IList<Gaussian> traitWeights, Gaussian biasWeight)

Parameters

Type	Name	Description
IList<Gaussian>	traitWeights	The trait weights.
Gaussian	biasWeight	The bias weight.

Properties

BiasWeight

Gets the bias weight.

Declaration

public Gaussian BiasWeight { get; }

Property Value

Type	Description
Gaussian

TraitWeights

Gets the trait weights.

Declaration

public IList<Gaussian> TraitWeights { get; }

Property Value

Type	Description
IList<Gaussian>