Class MatchboxRecommenderAdvancedTrainingSettings

Advanced settings of the Matchbox recommender which affect training. Cannot be set after training.

Inheritance

Object

MatchboxRecommenderAdvancedTrainingSettings

Implements

ICustomSerializable

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

[Serializable]
public class MatchboxRecommenderAdvancedTrainingSettings : ICustomSerializable

Properties

AffinityNoiseVariance

Gets or sets the variance of the affinity noise.

Declaration

public double AffinityNoiseVariance { get; set; }

Property Value

Type	Description
Double

ItemBiasFeatureWeightPriorVariance

Gets or sets the variance of the prior distribution over feature weights used to compute item bias.

Declaration

public double ItemBiasFeatureWeightPriorVariance { get; set; }

Property Value

Type	Description
Double

ItemBiasVariance

Gets or sets the variance of the item bias.

Declaration

public double ItemBiasVariance { get; set; }

Property Value

Type	Description
Double

ItemTraitFeatureWeightPriorVariance

Gets or sets the variance of the prior distribution over feature weights used to compute item traits.

Declaration

public double ItemTraitFeatureWeightPriorVariance { get; set; }

Property Value

Type	Description
Double

ItemTraitVariance

Gets or sets the variance of the item traits.

Declaration

public double ItemTraitVariance { get; set; }

Property Value

Type	Description
Double

UserBiasFeatureWeightPriorVariance

Gets or sets the variance of the prior distribution over feature weights used to compute user bias.

Declaration

public double UserBiasFeatureWeightPriorVariance { get; set; }

Property Value

Type	Description
Double

UserBiasVariance

Gets or sets the variance of the user bias.

Declaration

public double UserBiasVariance { get; set; }

Property Value

Type	Description
Double

UserThresholdNoiseVariance

Gets or sets the variance of the noise of the user thresholds.

Declaration

public double UserThresholdNoiseVariance { get; set; }

Property Value

Type	Description
Double

UserThresholdPriorVariance

Gets or sets the variance of the prior distribution of the user threshold.

Declaration

public double UserThresholdPriorVariance { get; set; }

Property Value

Type	Description
Double

UserTraitFeatureWeightPriorVariance

Gets or sets the variance of the prior distribution over feature weights used to compute user traits.

Declaration

public double UserTraitFeatureWeightPriorVariance { get; set; }

Property Value

Type	Description
Double

UserTraitVariance

Gets or sets the variance of the user traits.

Declaration

public double UserTraitVariance { get; set; }

Property Value

Type	Description
Double

Methods

SaveForwardCompatible(IWriter)

Saves the advanced training settings of a Matchbox recommender using the specified writer to a binary stream.

Declaration

public void SaveForwardCompatible(IWriter writer)

Parameters

Type	Name	Description
IWriter	writer	The writer to save the advanced training settings to.

Implements

ICustomSerializable