C# Class MyMediaLite.ItemRecommendation.MF

Abstract class for matrix factorization based item predictors

Inheritance: MyMediaLite.ItemRecommendation.IncrementalItemRecommender, IIterativeModel

Datei anzeigen Open project: zenogantner/MML-KDD

Protected Properties

Property	Type	Description
item_factors	Matrix
num_factors	int
user_factors	Matrix

Public Methods

Method	Description
ComputeFit ( ) : double	Computes the fit (optimization criterion) on the training data
Iterate ( ) : void	Iterate once over the data
LoadModel ( string file ) : void
MF ( ) : System	Default constructor
Predict ( int user_id, int item_id ) : double	Predict the weight for a given user-item combination If the user or the item are not known to the recommender, zero is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.
SaveModel ( string file ) : void
Train ( ) : void

Protected Methods

Method	Description
InitModel ( ) : void

Method Details

ComputeFit() public abstract method

Computes the fit (optimization criterion) on the training data

public abstract ComputeFit ( ) : double
return	double

InitModel() protected method

protected InitModel ( ) : void
return	void

Iterate() public abstract method

Iterate once over the data

public abstract Iterate ( ) : void
return	void

LoadModel() public method

public LoadModel ( string file ) : void
file	string
return	void

MF() public method

Default constructor

public MF ( ) : System
return	System

Predict() public method

Predict the weight for a given user-item combination

If the user or the item are not known to the recommender, zero is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.

public Predict ( int user_id, int item_id ) : double
user_id	int	the user ID
item_id	int	the item ID
return	double

SaveModel() public method

public SaveModel ( string file ) : void
file	string
return	void

Train() public method

public Train ( ) : void
return	void

Property Details

item_factors protected_oe property

Latent item factor matrix

protected Matrix item_factors
return	Matrix

num_factors protected_oe property

Number of latent factors per user/item

protected int num_factors
return	int

user_factors protected_oe property

Latent user factor matrix

protected Matrix user_factors
return	Matrix