Class MatchboxRecommenderTrainingSettings

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

Inheritance

Object

MatchboxRecommenderTrainingSettings

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 MatchboxRecommenderTrainingSettings : ICustomSerializable

Fields

BatchCountDefault

The default number of data batches.

Declaration

public const int BatchCountDefault = 1

Field Value

Type	Description
Int32

IterationCountDefault

The default number of inference iterations.

Declaration

public const int IterationCountDefault = 20

Field Value

Type	Description
Int32

TraitCountDefault

The default number of traits.

Declaration

public const int TraitCountDefault = 4

Field Value

Type	Description
Int32

UseItemFeaturesDefault

The default value indicating whether item features will be used.

Declaration

public const bool UseItemFeaturesDefault = false

Field Value

Type	Description
Boolean

UseSharedUserThresholdsDefault

The default value indicating whether shared user thresholds will be used.

Declaration

public const bool UseSharedUserThresholdsDefault = false

Field Value

Type	Description
Boolean

UseUserFeaturesDefault

The default value indicating whether user features will be used.

Declaration

public const bool UseUserFeaturesDefault = false

Field Value

Type	Description
Boolean

Properties

Advanced

Gets the advanced settings of the Matchbox recommender.

Declaration

public MatchboxRecommenderAdvancedTrainingSettings Advanced { get; }

Property Value

Type	Description
MatchboxRecommenderAdvancedTrainingSettings

BatchCount

Gets or sets the number of batches the training data is split into.

Declaration

public int BatchCount { get; set; }

Property Value

Type	Description
Int32

IterationCount

Gets or sets the number of inference iterations to run.

Declaration

public int IterationCount { get; set; }

Property Value

Type	Description
Int32

TraitCount

Gets or sets the number of implicit user or item features (traits) to learn.

Declaration

public int TraitCount { get; set; }

Property Value

Type	Description
Int32

UseItemFeatures

Gets or sets a value indicating whether to use explicit item features.

Declaration

public bool UseItemFeatures { get; set; }

Property Value

Type	Description
Boolean

UseSharedUserThresholds

Gets or sets a value indicating whether to use shared user thresholds.

Declaration

public bool UseSharedUserThresholds { get; set; }

Property Value

Type	Description
Boolean

UseUserFeatures

Gets or sets a value indicating whether to use explicit user features.

Declaration

public bool UseUserFeatures { get; set; }

Property Value

Type	Description
Boolean

Methods

SaveForwardCompatible(IWriter)

Saves the training settings of the 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 training settings to.

Implements

ICustomSerializable