Uses of Interface
es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData

Packages that use FastPreferenceData

Package	Description
es.uam.eps.ir.ranksys.fast.preference	Fast versions of PreferenceData.
es.uam.eps.ir.ranksys.mf	Matrix factorization base classes.
es.uam.eps.ir.ranksys.mf.als	Alternating least-squares factorization.
es.uam.eps.ir.ranksys.mf.plsa	Probabilistic latent semantic analysis.
es.uam.eps.ir.ranksys.nn.item	Item-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.item.sim	Item similarities.
es.uam.eps.ir.ranksys.nn.sim	Similarities.
es.uam.eps.ir.ranksys.nn.user	User-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.user.sim	User similarities.
es.uam.eps.ir.ranksys.rec.fast.basic	Basic recommendation algorithms.
es.uam.eps.ir.ranksys.rec.runner.fast	Fast recommender runners.
org.ranksys.compression.preferences	Compressed PreferenceData for binary and rating data.
org.ranksys.fast.preference	Fast versions of PreferenceData.
org.ranksys.fm.data	Implementation of FMData for recommendation tasks.
org.ranksys.formats.preference	Write and read format for preferences.
org.ranksys.lda	LDA topic modelling and recommender.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.fast.preference

Classes in es.uam.eps.ir.ranksys.fast.preference that implement FastPreferenceData

Modifier and Type	Class and Description
class	AbstractFastPreferenceData<U,I> Abstract FastFeatureData, implementing the interfaces of FastUserIndex and FastItemIndex by delegating to implementations of these.
class	SimpleFastPreferenceData<U,I> Simple implementation of FastPreferenceData backed by nested lists.
class	TransposedPreferenceData<I,U> Transposed preferences, where users and items change roles.

Constructors in es.uam.eps.ir.ranksys.fast.preference with parameters of type FastPreferenceData

Constructor and Description
TransposedPreferenceData(FastPreferenceData<U,I> recommenderData) Constructor with default converters between IdxPref and IdPref.
TransposedPreferenceData(FastPreferenceData<U,I> recommenderData, org.jooq.lambda.function.Function2<U,IdPref<I>,IdPref<U>> idPrefFun, org.jooq.lambda.function.Function2<Integer,IdxPref,IdxPref> idxPrefFun) Constructor with custom converters between IdxPref and IdPref.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.mf

Methods in es.uam.eps.ir.ranksys.mf with parameters of type FastPreferenceData

Modifier and Type	Method and Description
abstract double	Factorizer.error(Factorization<U,I> factorization, FastPreferenceData<U,I> data) Global loss of the factorization.
abstract void	Factorizer.factorize(Factorization<U,I> factorization, FastPreferenceData<U,I> data) Calculates the factorization by using a previously generate matrix factorization.
abstract Factorization<U,I>	Factorizer.factorize(int K, FastPreferenceData<U,I> data) Creates and calculates a factorization.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.mf.als

Methods in es.uam.eps.ir.ranksys.mf.als with parameters of type FastPreferenceData

Modifier and Type	Method and Description
double	PZTFactorizer.error(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data)
protected abstract double	ALSFactorizer.error(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data) Squared loss of two matrices.
double	HKVFactorizer.error(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data)
double	ALSFactorizer.error(Factorization<U,I> factorization, FastPreferenceData<U,I> data)
void	ALSFactorizer.factorize(Factorization<U,I> factorization, FastPreferenceData<U,I> data)
Factorization<U,I>	ALSFactorizer.factorize(int K, FastPreferenceData<U,I> data)
void	PZTFactorizer.set_minP(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data)
protected abstract void	ALSFactorizer.set_minP(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data) User matrix least-squares step.
void	HKVFactorizer.set_minP(cern.colt.matrix.impl.DenseDoubleMatrix2D p, cern.colt.matrix.impl.DenseDoubleMatrix2D q, FastPreferenceData<U,I> data)
void	PZTFactorizer.set_minQ(cern.colt.matrix.impl.DenseDoubleMatrix2D q, cern.colt.matrix.impl.DenseDoubleMatrix2D p, FastPreferenceData<U,I> data)
protected abstract void	ALSFactorizer.set_minQ(cern.colt.matrix.impl.DenseDoubleMatrix2D q, cern.colt.matrix.impl.DenseDoubleMatrix2D p, FastPreferenceData<U,I> data) Item matrix least-squares step.
void	HKVFactorizer.set_minQ(cern.colt.matrix.impl.DenseDoubleMatrix2D q, cern.colt.matrix.impl.DenseDoubleMatrix2D p, FastPreferenceData<U,I> data)

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.mf.plsa

Methods in es.uam.eps.ir.ranksys.mf.plsa with parameters of type FastPreferenceData

Modifier and Type	Method and Description
double	PLSAFactorizer.error(Factorization<U,I> factorization, FastPreferenceData<U,I> data)
void	PLSAFactorizer.factorize(Factorization<U,I> factorization, FastPreferenceData<U,I> data)
Factorization<U,I>	PLSAFactorizer.factorize(int K, FastPreferenceData<U,I> data)

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.nn.item

Fields in es.uam.eps.ir.ranksys.nn.item declared as FastPreferenceData

Modifier and Type	Field and Description
protected FastPreferenceData<U,I>	ItemNeighborhoodRecommender.data Preference data.

Constructors in es.uam.eps.ir.ranksys.nn.item with parameters of type FastPreferenceData

Constructor and Description
ItemNeighborhoodRecommender(FastPreferenceData<U,I> data, ItemNeighborhood<I> neighborhood, int q) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.nn.item.sim

Constructors in es.uam.eps.ir.ranksys.nn.item.sim with parameters of type FastPreferenceData

Constructor and Description
SetCosineItemSimilarity(FastPreferenceData<?,I> data, double alpha, boolean dense) Constructor.
SetJaccardItemSimilarity(FastPreferenceData<?,I> data, boolean dense) Constructor.
VectorCosineItemSimilarity(FastPreferenceData<?,I> data, double alpha, boolean dense) Constructor.
VectorJaccardItemSimilarity(FastPreferenceData<?,I> data, boolean dense) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.nn.sim

Fields in es.uam.eps.ir.ranksys.nn.sim declared as FastPreferenceData

Modifier and Type	Field and Description
protected FastPreferenceData<?,?>	VectorSimilarity.data User-item preferences.
protected FastPreferenceData<?,?>	SetSimilarity.data User-item preferences.

Constructors in es.uam.eps.ir.ranksys.nn.sim with parameters of type FastPreferenceData

Constructor and Description
SetCosineSimilarity(FastPreferenceData<?,?> data, double alpha, boolean dense) Constructor.
SetJaccardSimilarity(FastPreferenceData<?,?> data, boolean dense) Constructor.
SetSimilarity(FastPreferenceData<?,?> data, boolean dense) Constructor.
VectorCosineSimilarity(FastPreferenceData<?,?> data, double alpha, boolean dense) Constructor.
VectorJaccardSimilarity(FastPreferenceData<?,?> data, boolean dense) Constructor.
VectorSimilarity(FastPreferenceData<?,?> data, boolean dense) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.nn.user

Fields in es.uam.eps.ir.ranksys.nn.user declared as FastPreferenceData

Modifier and Type	Field and Description
protected FastPreferenceData<U,I>	UserNeighborhoodRecommender.data Preference data.

Constructors in es.uam.eps.ir.ranksys.nn.user with parameters of type FastPreferenceData

Constructor and Description
UserNeighborhoodRecommender(FastPreferenceData<U,I> data, UserNeighborhood<U> neighborhood, int q) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.nn.user.sim

Constructors in es.uam.eps.ir.ranksys.nn.user.sim with parameters of type FastPreferenceData

Constructor and Description
SetCosineUserSimilarity(FastPreferenceData<U,?> recommenderData, double alpha, boolean dense) Constructor.
SetJaccardUserSimilarity(FastPreferenceData<U,?> data, boolean dense) Constructor.
VectorCosineUserSimilarity(FastPreferenceData<U,?> data, double alpha, boolean dense) Constructor.
VectorJaccardUserSimilarity(FastPreferenceData<U,?> data, boolean dense) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.rec.fast.basic

Constructors in es.uam.eps.ir.ranksys.rec.fast.basic with parameters of type FastPreferenceData

Constructor and Description
PopularityRecommender(FastPreferenceData<U,I> data) Constructor.

Uses of FastPreferenceData in es.uam.eps.ir.ranksys.rec.runner.fast

Methods in es.uam.eps.ir.ranksys.rec.runner.fast with parameters of type FastPreferenceData

Modifier and Type	Method and Description
static <U,I> Function<U,IntPredicate>	FastFilters.notInTrain(FastPreferenceData<U,I> trainData) Item filter that discards items in the training preference data.

Uses of FastPreferenceData in org.ranksys.compression.preferences

Classes in org.ranksys.compression.preferences that implement FastPreferenceData

Modifier and Type	Class and Description
class	AbstractCODECPreferenceData<U,I,Cu,Ci> Abstract PreferenceData using compression.
class	BinaryCODECPreferenceData<U,I,Cu,Ci> PreferenceData for binary data using compression.
class	RatingCODECPreferenceData<U,I,Cu,Ci,Cv> PreferenceData for rating data using compression.

Constructors in org.ranksys.compression.preferences with parameters of type FastPreferenceData

Constructor and Description
BinaryCODECPreferenceData(FastPreferenceData<U,I> preferences, FastUserIndex<U> users, FastItemIndex<I> items, CODEC<Cu> u_codec, CODEC<Ci> i_codec) Constructor that utilizes other PreferenceData object with default IdxPref to IdPref converters.
BinaryCODECPreferenceData(FastPreferenceData<U,I> preferences, FastUserIndex<U> users, FastItemIndex<I> items, CODEC<Cu> u_codec, CODEC<Ci> i_codec, Function<IdxPref,IdPref<I>> uPrefFun, Function<IdxPref,IdPref<U>> iPrefFun) Constructor that utilizes other PreferenceData object with custom IdxPref to IdPref converters.
RatingCODECPreferenceData(FastPreferenceData<U,I> preferences, FastUserIndex<U> users, FastItemIndex<I> items, CODEC<Cu> u_codec, CODEC<Ci> i_codec, CODEC<Cv> r_codec) Constructor that utilizes other PreferenceData object with default IdxPref to IdPref converters.
RatingCODECPreferenceData(FastPreferenceData<U,I> preferences, FastUserIndex<U> users, FastItemIndex<I> items, CODEC<Cu> u_codec, CODEC<Ci> i_codec, CODEC<Cv> r_codec, Function<IdxPref,IdPref<I>> uPrefFun, Function<IdxPref,IdPref<U>> iPrefFun) Constructor that utilizes other PreferenceData object with custom IdxPref to IdPref converters.

Uses of FastPreferenceData in org.ranksys.fast.preference

Subinterfaces of FastPreferenceData in org.ranksys.fast.preference

Modifier and Type	Interface and Description
interface	FastPointWisePreferenceData<U,I> Fast point-wise preference data.

Classes in org.ranksys.fast.preference that implement FastPreferenceData

Modifier and Type	Class and Description
class	IteratorsAbstractFastPreferenceData<U,I> Extends AbstractFastPreferenceData and implements the data access stream-based methods using the iterator-based ones.
class	StreamsAbstractFastPreferenceData<U,I> Extends AbstractFastPreferenceData and implements the data access iterator-based methods using the stream-based ones.

Uses of FastPreferenceData in org.ranksys.fm.data

Constructors in org.ranksys.fm.data with parameters of type FastPreferenceData

Constructor and Description
BPRPreferenceFMData(FastPreferenceData<?,?> prefs) Constructor.
BPRPreferenceFMData(FastPreferenceData<?,?> prefs, Random rnd) Constructor.
OneClassPreferenceFMData(FastPreferenceData<?,?> prefs, double negativeProp) Constructor.
OneClassPreferenceFMData(FastPreferenceData<?,?> prefs, double negativeProp, Random rnd) Constructor.

Uses of FastPreferenceData in org.ranksys.formats.preference

Methods in org.ranksys.formats.preference with parameters of type FastPreferenceData

Modifier and Type	Method and Description
void	CompressibleBinaryPreferencesFormat.write(FastPreferenceData<?,?> prefData, OutputStream uo, OutputStream io) Saves a PreferenceData instance in two files for user and item preferences, respectively.
void	CompressibleRatingPreferencesFormat.write(FastPreferenceData<?,?> prefData, OutputStream uo, OutputStream io) Saves a PreferenceData instance in two files for user and item preferences, respectively.
void	CompressibleBinaryPreferencesFormat.write(FastPreferenceData<?,?> prefData, String up, String ip) Saves a PreferenceData instance in two files for user and item preferences, respectively.
void	CompressibleRatingPreferencesFormat.write(FastPreferenceData<?,?> prefData, String up, String ip) Saves a PreferenceData instance in two files for user and item preferences, respectively.

Uses of FastPreferenceData in org.ranksys.lda

Methods in org.ranksys.lda with parameters of type FastPreferenceData

Modifier and Type	Method and Description
static <U,I> cc.mallet.topics.ParallelTopicModel	LDAModelEstimator.estimate(FastPreferenceData<U,I> preferences, int k, double alpha, double beta, int numIterations, int burninPeriod) Estimate a topic model for collaborative filtering data.