Uses of Interface
es.upm.etsisi.cf4j.util.process.Partible

Packages that use Partible

Package	Description
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.util.process	This package includes processing utils designed to parallelize fitting processes.

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

Classes in es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric that implement Partible

Modifier and Type	Class	Description
class	AdjustedCosine	Implements traditional Adjusted Cosine as CF similarity metric for the items.
class	Correlation	This class Implements Pearson Correlation as CF similarity metric for the items.
class	CorrelationConstrained	This class implements the Constrained Correlation as CF similarity metric for items.
class	Cosine	Implements Cosine as CF similarity metric for the items.
class	ItemSimilarityMetric	This class process the similarity measure between two items.
class	Jaccard	This class Implements Jaccard Index as CF similarity metric for the items.
class	JMSD	This class implements JMSD as the similarity metric for the items.
class	MSD	Implements traditional MSD as CF similarity metric for items.
class	PIP	This class implements the PIP CF similarity metric for the items.
class	Singularities	This class implements the singularities CF similarity metric.
class	SpearmanRank	Implements traditional Spearman Rank as CF similarity metric for the items.

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

Classes in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric that implement Partible

Modifier and Type	Class	Description
class	AdjustedCosine	Implements traditional Adjusted Cosine as CF similarity metric.
class	CJMSD	Implements the following CF similarity metric: Bobadilla, J., Ortega, F., Hernando, A., & Arroyo, A. (2012).
class	Correlation	Implements traditional Pearson Correlation as CF similarity metric.
class	CorrelationConstrained	Implements traditional Pearson Correlation Constrained as CF similarity metric.
class	Cosine	Implements traditional Cosine as CF similarity metric.
class	Jaccard	Implements traditional Jaccard Index as CF similarity metric.
class	JMSD	Implements the following CF similarity metric: Bobadilla, J., Serradilla, F., & Bernal, J
class	MSD	Implements traditional MSD as CF similarity metric.
class	PIP	Implements the following CF similarity metric: Ahn, H.
class	Singularities	Implements the following CF similarity metric: Bobadilla, J., Ortega, F., & Hernando, A
class	SpearmanRank	Implements traditional Spearman Rank as CF similarity metric.
class	UserSimilarityMetric	This class process the similarity measure between two users.

Uses of Partible in es.upm.etsisi.cf4j.util.process

Methods in es.upm.etsisi.cf4j.util.process with parameters of type Partible

Modifier and Type	Method	Description
static void	Parallelizer.exec(Object[] objects, Partible partible)	Execs Partible for each object contained in the objects array.
static void	Parallelizer.exec(Object[] objects, Partible partible, int numThreads)	Execs Partible for each object contained in the objects array.