Uses of Class
es.upm.etsisi.cf4j.data.DataModel

Packages that use DataModel

Package	Description
es.upm.etsisi.cf4j.data	This package contains data classes of CF4J.
es.upm.etsisi.cf4j.recommender	This package contains the implementation of different collaborative filtering based recommenders.
es.upm.etsisi.cf4j.recommender.knn	This package contains the implementation of different knn based collaborative filtering recommenders.
es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric	This package contains different implementations of item-to-item similarity metrics used in the item-to-item knn based collaborative filtering algorithm.
es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric	This package contains different implementations of user-to-user similarity metric used in the user-to-user knn based collaborative filtering algorithm.
es.upm.etsisi.cf4j.recommender.matrixFactorization	This package contains the implementation of different matrix factorization based collaborative filtering recommenders.
es.upm.etsisi.cf4j.util.optimization	This package includes optimization utils designed to tune recommenders' hyper-parameters.

Uses of DataModel in es.upm.etsisi.cf4j.data

Methods in es.upm.etsisi.cf4j.data that return DataModel

Modifier and Type	Method and Description
static DataModel	BenchmarkDataModels.BookCrossing() Loads a DataModel instance of BookCrossing dataset.
static DataModel	BenchmarkDataModels.FilmTrust() Loads a DataModel instance of FilmTrust dataset.
static DataModel	BenchmarkDataModels.Jester() Loads a DataModel instance of Jester (Dataset 3) dataset.
static DataModel	BenchmarkDataModels.LibimSeTi() Loads a DataModel instance of LibimSeTi dataset.
static DataModel	DataModel.load(String filePath) Loads a DataModel from a previously serialized file (see save() method).
static DataModel	BenchmarkDataModels.MovieLens100K() Loads a DataModel instance of MovieLens 100K dataset.
static DataModel	BenchmarkDataModels.MovieLens10M() Loads a DataModel instance of MovieLens 1M dataset.
static DataModel	BenchmarkDataModels.MovieLens1M() Loads a DataModel instance of MovieLens 1M dataset.
static DataModel	BenchmarkDataModels.MyAnimeList() Loads a DataModel instance of MyAnimeList dataset.

Uses of DataModel in es.upm.etsisi.cf4j.recommender

Fields in es.upm.etsisi.cf4j.recommender declared as DataModel

Modifier and Type	Field and Description
protected DataModel	Recommender.datamodel DataModel instance used for the Recommender

Methods in es.upm.etsisi.cf4j.recommender that return DataModel

Modifier and Type	Method and Description
DataModel	Recommender.getDataModel() Returns the DataModel instance

Constructors in es.upm.etsisi.cf4j.recommender with parameters of type DataModel

Constructor and Description
Recommender(DataModel datamodel) Recommender constructor

Uses of DataModel in es.upm.etsisi.cf4j.recommender.knn

Constructors in es.upm.etsisi.cf4j.recommender.knn with parameters of type DataModel

Constructor and Description
ItemKNN(DataModel datamodel, int numberOfNeighbors, ItemSimilarityMetric metric, ItemKNN.AggregationApproach aggregationApproach) Recommender constructor
ItemKNN(DataModel datamodel, Map<String,Object> params) Recommender constructor from a Map containing the recommender's hyper-parameters values.
UserKNN(DataModel datamodel, int numberOfNeighbors, UserSimilarityMetric metric, UserKNN.AggregationApproach aggregationApproach) Recommender constructor
UserKNN(DataModel datamodel, Map<String,Object> params) Recommender constructor from a Map containing the recommender's hyper-parameters values.

Uses of DataModel in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

Fields in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric declared as DataModel

Modifier and Type	Field and Description
protected DataModel	ItemSimilarityMetric.datamodel DataModel for which de similarities must be computed

Methods in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric with parameters of type DataModel

Modifier and Type	Method and Description
void	ItemSimilarityMetric.setDatamodel(DataModel datamodel) Sets the DataModel for which the similarity are going to be computed

Uses of DataModel in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric

Fields in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric declared as DataModel

Modifier and Type	Field and Description
protected DataModel	UserSimilarityMetric.datamodel DataModel for which de similarities must be computed

Methods in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric with parameters of type DataModel

Modifier and Type	Method and Description
void	UserSimilarityMetric.setDatamodel(DataModel datamodel) Sets the DataModel for which the similarity are going to be computed

Uses of DataModel in es.upm.etsisi.cf4j.recommender.matrixFactorization

Constructors in es.upm.etsisi.cf4j.recommender.matrixFactorization with parameters of type DataModel

Constructor and Description
BiasedMF(DataModel datamodel, int numFactors, int numIters) Model constructor
BiasedMF(DataModel datamodel, int numFactors, int numIters, double lambda) Model constructor
BiasedMF(DataModel datamodel, int numFactors, int numIters, double lambda, double gamma, long seed) Model constructor
BiasedMF(DataModel datamodel, int numFactors, int numIters, double lambda, long seed) Model constructor
BiasedMF(DataModel datamodel, int numFactors, int numIters, long seed) Model constructor
BiasedMF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
BNMF(DataModel datamodel, int numFactors, int numIters, double alpha, double beta) Model constructor
BNMF(DataModel datamodel, int numFactors, int numIters, double alpha, double beta, double r, long seed) Model constructor
BNMF(DataModel datamodel, int numFactors, int numIters, double alpha, double beta, long seed) Model constructor
BNMF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
CLiMF(DataModel datamodel, int numFactors, double gamma, double lambda, int numIters, double threshold) Model constructor
CLiMF(DataModel datamodel, int numFactors, double gamma, double lambda, int numIters, double threshold, long seed) Model constructor
CLiMF(DataModel datamodel, int numFactors, int numIters) Model constructor
CLiMF(DataModel datamodel, int numFactors, int numIters, double threshold) Model constructor
CLiMF(DataModel datamodel, int numFactors, int numIters, double threshold, long seed) Model constructor
CLiMF(DataModel datamodel, int numFactors, int numIters, long seed) Model constructor
CLiMF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
HPF(DataModel datamodel, int numFactors, int numIters) Models constructor
HPF(DataModel datamodel, int numFactors, int numIters, double a, double aPrime, double bPrime, double c, double cPrime, double dPrime) Models constructor
HPF(DataModel datamodel, int numFactors, int numIters, double a, double aPrime, double bPrime, double c, double cPrime, double dPrime, long seed) Models constructor
HPF(DataModel datamodel, int numFactors, int numIters, long seed) Models constructor
HPF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
NMF(DataModel datamodel, int numFactors, int numIters) Model constructor
NMF(DataModel datamodel, int numFactors, int numIters, long seed) Model constructor
NMF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
PMF(DataModel datamodel, int numFactors, int numIters) Model constructor
PMF(DataModel datamodel, int numFactors, int numIters, double lambda) Model constructor
PMF(DataModel datamodel, int numFactors, int numIters, double lambda, double gamma, long seed) Model constructor
PMF(DataModel datamodel, int numFactors, int numIters, double lambda, long seed) Model constructor
PMF(DataModel datamodel, int numFactors, int numIters, long seed) Model constructor
PMF(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
SVDPlusPlus(DataModel datamodel, int numFactors, int numIters) Model constructor
SVDPlusPlus(DataModel datamodel, int numFactors, int numIters, double gamma, double lambda) Model constructor
SVDPlusPlus(DataModel datamodel, int numFactors, int numIters, double gamma, double lambda, long seed) Model constructor
SVDPlusPlus(DataModel datamodel, int numFactors, int numIters, long seed) Model constructor
SVDPlusPlus(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.
URP(DataModel datamodel, int numFactors, double[] ratings, int numIters) Model constructor
URP(DataModel datamodel, int numFactors, double[] ratings, int numIters, double H) Model constructor
URP(DataModel datamodel, int numFactors, double[] ratings, int numIters, double H, long seed) Model constructor
URP(DataModel datamodel, int numFactors, double[] ratings, int numIters, long seed) Model constructor
URP(DataModel datamodel, Map<String,Object> params) Model constructor from a Map containing the model's hyper-parameters values.

Uses of DataModel in es.upm.etsisi.cf4j.util.optimization

Constructors in es.upm.etsisi.cf4j.util.optimization with parameters of type DataModel

Constructor and Description
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass) GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams) GridSearch constructor