MyMediaLite  3.11
Public Member Functions | Properties | List of all members
ExternalItemRecommender Class Reference

Uses externally computed predictions More...

Inheritance diagram for ExternalItemRecommender:
ItemRecommender INeedsMappings Recommender IRecommender

Public Member Functions

override bool CanPredict (int user_id, int item_id)
 Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination More...
 
Object Clone ()
 create a shallow copy of the object More...
 
 ExternalItemRecommender ()
 Default constructor More...
 
override void LoadModel (string filename)
 Get the model parameters from a file More...
 
override float Predict (int user_id, int item_id)
 Predict rating or score for a given user-item combination More...
 
IList< Tuple< int, float > > Recommend (int user_id, int n=-1, ICollection< int > ignore_items=null, ICollection< int > candidate_items=null)
 Recommend items for a given user More...
 
virtual System.Collections.Generic.IList< Tuple< int, float > > Recommend (int user_id, int n=-1, System.Collections.Generic.ICollection< int > ignore_items=null, System.Collections.Generic.ICollection< int > candidate_items=null)
 
override void SaveModel (string filename)
 Save the model parameters to a file More...
 
override string ToString ()
 Return a string representation of the recommender More...
 
override void Train ()
 Learn the model parameters of the recommender from the training data More...
 

Properties

virtual IPosOnlyFeedback Feedback [get, set]
 the feedback data to be used for training More...
 
IMapping ItemMapping [get, set]
 
int MaxItemID [get, set]
 Maximum item ID More...
 
int MaxUserID [get, set]
 Maximum user ID More...
 
string PredictionFile [get, set]
 the file with the stored ratings More...
 
IMapping UserMapping [get, set]
 

Detailed Description

Uses externally computed predictions

This recommender is for loading predictions made by external (non-MyMediaLite) recommenders, so that we can use MyMediaLite's evaluation framework to evaluate their accuracy.

This recommender does NOT support incremental updates.

Constructor & Destructor Documentation

Default constructor

Member Function Documentation

override bool CanPredict ( int  user_id,
int  item_id 
)
inlinevirtual

Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination

It is up to the recommender implementor to decide when a prediction is useful, and to document it accordingly.

Parameters
user_idthe user ID
item_idthe item ID
Returns
true if a useful prediction can be made, false otherwise

Reimplemented from Recommender.

Object Clone ( )
inlineinherited

create a shallow copy of the object

override void LoadModel ( string  filename)
inlinevirtual

Get the model parameters from a file

Parameters
filenamethe name of the file to read from

Reimplemented from Recommender.

override float Predict ( int  user_id,
int  item_id 
)
inlinevirtual

Predict rating or score for a given user-item combination

Parameters
user_idthe user ID
item_idthe item ID
Returns
the predicted score/rating for the given user-item combination

Implements Recommender.

IList<Tuple<int, float> > Recommend ( int  user_id,
int  n = -1,
ICollection< int >  ignore_items = null,
ICollection< int >  candidate_items = null 
)
inherited

Recommend items for a given user

Parameters
user_idthe user ID
nthe number of items to recommend, -1 for as many as possible
ignore_itemscollection if items that should not be returned; if null, use empty collection
candidate_itemsthe candidate items to choose from; if null, use all items
Returns
a sorted list of (item_id, score) tuples

Implemented in WeightedEnsemble, and Ensemble.

override void SaveModel ( string  filename)
inlinevirtual

Save the model parameters to a file

Parameters
filenamethe name of the file to write to

Reimplemented from Recommender.

override string ToString ( )
inline

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.

override void Train ( )
inlinevirtual

Learn the model parameters of the recommender from the training data

Implements Recommender.

Property Documentation

virtual IPosOnlyFeedback Feedback
getsetinherited

the feedback data to be used for training

int MaxItemID
getsetinherited

Maximum item ID

int MaxUserID
getsetinherited

Maximum user ID

string PredictionFile
getset

the file with the stored ratings


The documentation for this class was generated from the following file: