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.recommender.neural	This package contains the implementation of different neural networks 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	Description
static DataModel	BenchmarkDataModels.BoardGameGeek()	Loads a DataModel instance of BoardGameGeek dataset.
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.
static DataModel	BenchmarkDataModels.NetflixPrize()	Loads a DataModel instance of Netflix Prize dataset.

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

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

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

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

Constructor	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	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	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	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	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	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	Description
BeMF(DataModel datamodel, int numFactors, int numIters, double learningRate, double regularization, double[] ratings)	Model constructor
BeMF(DataModel datamodel, int numFactors, int numIters, double learningRate, double regularization, double[] ratings, long seed)	Model constructor
BeMF(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.
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.
DeepMF(DataModel datamodel, int[] numFactors, int[] numIters, double[] learningRate, double[] regularization)	Model constructor
DeepMF(DataModel datamodel, int[] numFactors, int[] numIters, double[] learningRate, double[] regularization, long seed)	Model constructor
DeepMF(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.
DirMF(DataModel datamodel, int numFactors, int numIters, double learningRate, double regularization, double[] ratings)	Model constructor
DirMF(DataModel datamodel, int numFactors, int numIters, double learningRate, double regularization, double[] ratings, long seed)	Model constructor
DirMF(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.recommender.neural

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

Constructor	Description
GMF(DataModel datamodel, int numFactors, int numEpochs, double learningRate)	Model constructor
GMF(DataModel datamodel, int numFactors, int numEpochs, double learningRate, long seed)	Model constructor
GMF(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.
MLP(DataModel datamodel, int numEpochs, double learningRate)	Model constructor
MLP(DataModel datamodel, int numEpochs, double learningRate, int[] layers)	Model constructor
MLP(DataModel datamodel, int numEpochs, double learningRate, long seed)	Model constructor
MLP(DataModel datamodel, int numFactors, int numEpochs, double learningRate)	Model constructor
MLP(DataModel datamodel, int numFactors, int numEpochs, double learningRate, int[] layers)	Model constructor
MLP(DataModel datamodel, int numFactors, int numEpochs, double learningRate, int[] layers, long seed)	Model constructor
MLP(DataModel datamodel, int numFactors, int numEpochs, double learningRate, long seed)	Model constructor
MLP(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.
NCCF(DataModel datamodel, int numEpochs)	Model constructor
NCCF(DataModel datamodel, int numEpochs, long seed)	Model constructor
NCCF(DataModel datamodel, Map<String,Object> params)	Model constructor from a Map containing the model's hyper-parameters values.
NeuMF(DataModel datamodel, int numEpochs, double learningRate)	Model constructor
NeuMF(DataModel datamodel, int numEpochs, double learningRate, int[] layers)	Model constructor
NeuMF(DataModel datamodel, int numEpochs, double learningRate, long seed)	Model constructor
NeuMF(DataModel datamodel, int numFactorsGMF, int numFactorsMLP, int numEpochs, double learningRate)	Model constructor
NeuMF(DataModel datamodel, int numFactorsGMF, int numFactorsMLP, int numEpochs, double learningRate, int[] layers)	Model constructor
NeuMF(DataModel datamodel, int numFactorsGMF, int numFactorsMLP, int numEpochs, double learningRate, int[] layers, long seed)	Model constructor
NeuMF(DataModel datamodel, int numFactorsGMF, int numFactorsMLP, int numEpochs, double learningRate, long seed)	Model constructor
NeuMF(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	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>[] qualityMeasuresClasses)	GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams)	GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams)	GridSearch constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, long seed)	GridSearchCV constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters, long seed, String progressPrefix)	RandomSearch constructor to be used inside es.upm.etsisi.cf4j.util.optimization package
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int numIters, long seed)	RandomSearch constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, int numIters, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, int numIters, long seed)	RandomSearchCV constructor