Random Class Reference

Random item recommender for use as experimental baseline. More...

Inheritance diagram for Random:
ItemRecommender IItemRecommender IRecommender

List of all members.

Public Member Functions

virtual void AddFeedback (int user_id, int item_id)
virtual void AddItem (int item_id)
virtual void AddUser (int user_id)
virtual bool CanPredict (int user_id, int item_id)
 Check whether a useful prediction can be made for a given user-item combination.
Object Clone ()
 create a shallow copy of the object
override void LoadModel (string filename)
 Get the model parameters from a file.
override double Predict (int user_id, int item_id)
 Predict rating or score for a given user-item combination.
virtual void RemoveFeedback (int user_id, int item_id)
virtual void RemoveItem (int item_id)
virtual void RemoveUser (int user_id)
override void SaveModel (string filename)
 Save the model parameters to a file.
override string ToString ()
 Return a string representation of the recommender.
override void Train ()
 Learn the model parameters of the recommender from the training data.

Properties

virtual PosOnlyFeedback Feedback [get, set]
 the feedback data to be used for training
int MaxItemID [get, set]
 Maximum item ID.
int MaxUserID [get, set]
 Maximum user ID.

Detailed Description

Random item recommender for use as experimental baseline.

It would not be necessary for Random to inherit from ItemRecommender, but it is done nonetheless for convenience.


Member Function Documentation

virtual bool CanPredict ( int  user_id,
int  item_id 
) [virtual, inherited]

Check whether a useful prediction can be made for a given user-item combination.

Parameters:
user_id the user ID
item_id the item ID
Returns:
true if a useful prediction can be made, false otherwise

Implements IRecommender.

Object Clone (  )  [inherited]

create a shallow copy of the object

override void LoadModel ( string  filename  )  [virtual]

Get the model parameters from a file.

Parameters:
filename the name of the file to read from

Implements ItemRecommender.

override double Predict ( int  user_id,
int  item_id 
) [virtual]

Predict rating or score for a given user-item combination.

Parameters:
user_id the user ID
item_id the item ID
Returns:
the predicted score/rating for the given user-item combination

Implements ItemRecommender.

override void SaveModel ( string  filename  )  [virtual]

Save the model parameters to a file.

Parameters:
filename the name of the file to write to

Implements ItemRecommender.

override string ToString (  ) 

Return a string representation of the recommender.

The ToString() method of recommenders should list the class name and all hyperparameters, separated by space characters.

Implements IRecommender.


Property Documentation

virtual PosOnlyFeedback Feedback [get, set, inherited]

the feedback data to be used for training

int MaxItemID [get, set, inherited]

Maximum item ID.

int MaxUserID [get, set, inherited]

Maximum user ID.


The documentation for this class was generated from the following file:
Generated on Tue May 24 12:44:18 2011 for MyMediaLite by  doxygen 1.6.3