C# 클래스 MyMediaLite.ItemRecommendation.BPR_Linear

Linear model optimized for BPR

This recommender does NOT support incremental updates.

상속: ItemRecommender, IItemAttributeAwareRecommender, IIterativeModel

보호된 프로퍼티들

프로퍼티	타입	설명
iteration_length	int

공개 메소드들

메소드	설명
ComputeFit ( ) : double
Iterate ( ) : void	Perform one iteration of stochastic gradient ascent over the training data. One iteration is iteration_length * number of entries in the training matrix
LoadModel ( string filename ) : void
Predict ( int user_id, int item_id ) : double
SaveModel ( string filename ) : void
ToString ( ) : string
Train ( ) : void

보호된 메소드들

메소드	설명
SampleItemPair ( int u, int &i, int &j ) : void	Sample a pair of items, given a user
SampleTriple ( int &u, int &i, int &j ) : void	Sample a triple for BPR learning
SampleUser ( ) : int	Sample a user that has viewed at least one and not all items
UpdateFeatures ( int u, int i, int j ) : void	Modified feature update method that exploits attribute sparsity

메소드 상세

ComputeFit() 공개 메소드

public ComputeFit ( ) : double
리턴	double

Iterate() 공개 메소드

Perform one iteration of stochastic gradient ascent over the training data. One iteration is iteration_length * number of entries in the training matrix

public Iterate ( ) : void
리턴	void

LoadModel() 공개 메소드

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

Predict() 공개 메소드

public Predict ( int user_id, int item_id ) : double
user_id	int
item_id	int
리턴	double

SampleItemPair() 보호된 메소드

Sample a pair of items, given a user

protected SampleItemPair ( int u, int &i, int &j ) : void
u	int	the user ID
i	int	the ID of the first item
j	int	the ID of the second item
리턴	void

SampleTriple() 보호된 메소드

Sample a triple for BPR learning

protected SampleTriple ( int &u, int &i, int &j ) : void
u	int	the user ID
i	int	the ID of the first item
j	int	the ID of the second item
리턴	void

SampleUser() 보호된 메소드

Sample a user that has viewed at least one and not all items

protected SampleUser ( ) : int
리턴	int

SaveModel() 공개 메소드

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

ToString() 공개 메소드

public ToString ( ) : string
리턴	string

Train() 공개 메소드

public Train ( ) : void
리턴	void

UpdateFeatures() 보호된 메소드

Modified feature update method that exploits attribute sparsity

protected UpdateFeatures ( int u, int i, int j ) : void
u	int
i	int
j	int
리턴	void

프로퍼티 상세

iteration_length 보호되어 있는 프로퍼티

One iteration is iteration_length * number of entries in the training matrix

protected int iteration_length
리턴	int