WeightedEnsemble Class Reference

Combining several predictors with a weighted ensemble. More...

Inheritance diagram for WeightedEnsemble:

List of all members.

Public Member Functions
virtual bool	CanPredict (int user_id, int item_id)
	Check whether a useful prediction can be made for a given user-item combination.
override void	LoadModel (string file)
	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.
override void	SaveModel (string file)
	Save the model parameters to a file.
string	ToString ()
	Return a string representation of the recommender.
override void	Train ()
	Learn the model parameters of the recommender from the training data.
Public Attributes
List< IRecommender >	recommenders = new List<IRecommender>()
	list of recommenders
List< double >	weights = new List<double>()
	List of component weights.
Protected Attributes
double	weight_sum
	Sum of the component weights.
Properties
double	MaxRatingValue [get, set]
	The max rating value.
double	MinRatingValue [get, set]
	The min rating value.

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Detailed Description

Combining several predictors with a weighted ensemble.

This recommender does NOT support incremental updates.

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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.

override void LoadModel

(

string

filename

)

[virtual]

Get the model parameters from a file.

Parameters:

filename

the name of the file to read from

Implements Ensemble.

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 Ensemble.

override void SaveModel

(

string

filename

)

[virtual]

Save the model parameters to a file.

Parameters:

filename

the name of the file to write to

Implements Ensemble.

string ToString

(

)

[inherited]

Return a string representation of the recommender.

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

Implemented in BPR_Linear, BPRMF, ItemAttributeKNN, ItemKNN, MostPopular, Random, UserAttributeKNN, UserKNN, WeightedItemKNN, WeightedUserKNN, WRMF, Zero, BiasedMatrixFactorization, BiasedMatrixFactorizationMAE, BiPolarSlopeOne, FactorWiseMatrixFactorization, GlobalAverage, ItemAttributeKNN, ItemAverage, ItemKNNCosine, ItemKNNPearson, MatrixFactorization, SlopeOne, UserAttributeKNN, UserAverage, UserItemBaseline, UserKNNCosine, and UserKNNPearson.

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Member Data Documentation

List<IRecommender> recommenders = new List<IRecommender>() [inherited]

list of recommenders

double weight_sum [protected]

Sum of the component weights.

List<double> weights = new List<double>()

List of component weights.

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Property Documentation

double MaxRatingValue [get, set, inherited]

The max rating value.

The max rating value

double MinRatingValue [get, set, inherited]

The min rating value.

The min rating value

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

• WeightedEnsemble.cs