C# 클래스 MyMediaLite.ItemRecommendation.MF

Abstract class for matrix factorization based item predictors

상속: MyMediaLite.ItemRecommendation.IncrementalItemRecommender, IIterativeModel

보호된 프로퍼티들

프로퍼티	타입	설명
item_factors	Matrix
num_factors	int
user_factors	Matrix

공개 메소드들

메소드	설명
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

보호된 메소드들

메소드	설명
InitModel ( ) : void

메소드 상세

ComputeFit() 공개 추상적인 메소드

Computes the fit (optimization criterion) on the training data

public abstract ComputeFit ( ) : double
리턴	double

InitModel() 보호된 메소드

protected InitModel ( ) : void
리턴	void

Iterate() 공개 추상적인 메소드

Iterate once over the data

public abstract Iterate ( ) : void
리턴	void

LoadModel() 공개 메소드

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

MF() 공개 메소드

Default constructor

public MF ( ) : System
리턴	System

Predict() 공개 메소드

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
리턴	double

SaveModel() 공개 메소드

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

Train() 공개 메소드

public Train ( ) : void
리턴	void

프로퍼티 상세

item_factors 보호되어 있는 프로퍼티

Latent item factor matrix

protected Matrix item_factors
리턴	Matrix

num_factors 보호되어 있는 프로퍼티

Number of latent factors per user/item

protected int num_factors
리턴	int

user_factors 보호되어 있는 프로퍼티

Latent user factor matrix

protected Matrix user_factors
리턴	Matrix