Uses of Class
es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Packages that use QualityMeasure

Package	Description
es.upm.etsisi.cf4j.qualityMeasure.prediction	Contains the implementation of different quality measures oriented to predictions.
es.upm.etsisi.cf4j.qualityMeasure.recommendation	Contains the implementation of different quality measures oriented to recommendations.
es.upm.etsisi.cf4j.util.optimization	This package includes optimization utils designed to tune recommenders' hyper-parameters.

Uses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.prediction

Subclasses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.prediction

Modifier and Type	Class and Description
class	Coverage This class calculates the Coverage of the recommender system.
class	MAE This class calculates the Mean Absolute Error (MAE) between the predictions and the test ratings.
class	Max This class calculates the averaged maximum prediction absolute error in a the prediction of a test rating for each test user.
class	MSE This class calculates the Mean Squared Error (MSE) between the predictions and the test ratings.
class	MSLE This class calculates the Mean Squared Logarithmic Error (MSLE) between the predictions and the test ratings.
class	Perfect This class calculates the percentage of perfect predictions.
class	R2 This class calculates the the coefficient of determination, usually denoted as R2, of the predictions performed by a recommender.
class	RMSE This class calculates the Root Mean Squared Error (RMSE) between the predictions and the test ratings.

Uses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.recommendation

Subclasses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.recommendation

Modifier and Type	Class and Description
class	Discovery This class the averaged novelty of the recomendations.
class	Diversity This class the averaged diversity of the recomendations.
class	F1 This class calculates the F1 score of the recommender system.
class	NDCG This class calculates the Normalized Discounted Cumulative Gain (nDCG) of the recommendations performed by a Recommender.
class	Novelty This class the averaged novelty of the recomendations.
class	Precision This class calculates the precision of the recommendations performed by a Recommender.
class	Recall This class calculates the recall of the recommendations performed by a Recommender.

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

Constructor parameters in es.upm.etsisi.cf4j.util.optimization with type arguments of type QualityMeasure

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