es.upm.etsisi.cf4j.qualityMeasure.prediction

Class Perfect

java.lang.Object

es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

es.upm.etsisi.cf4j.qualityMeasure.prediction.Perfect

public class Perfect
extends QualityMeasure

This class calculates the percentage of perfect predictions. A prediction is considered perfect if and only if the absolute difference between the test rating and the prediction is less or equal than a threshold.

Field Summary

Fields inherited from class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

recommender

Constructor Summary

Constructors

Constructor and Description
Perfect(Recommender recommender, double threshold) Constructor of the class which basically calls the father's one
Perfect(Recommender recommender, Map<String,Object> params) Constructor from a Map object with the quality measure parameters.

Method Summary

Modifier and Type	Method and Description
double	getScore(TestUser testUser, double[] predictions) Computes the quality measure score for a TestUser given the predictions for his/her test ratings

Methods inherited from class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

getScore, getScore

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Perfect

public Perfect(Recommender recommender,
               Map<String,Object> params)

Constructor from a Map object with the quality measure parameters. Map object must contains the following keys:

• threshold: double value that defines the allowed threshold to measure if a prediction is perfect or not.

Parameters:

recommender - Recommender instance for which the Perfect score are going to be computed

params - Quality measure's parameters

Perfect

public Perfect(Recommender recommender,
               double threshold)

Constructor of the class which basically calls the father's one

Parameters:

recommender - Recommender instance for which the perfect score are going to be computed

threshold - Threshold value to measure if a prediction is perfect or not

Method Detail

getScore

public double getScore(TestUser testUser,
                       double[] predictions)

Description copied from class: QualityMeasure

Computes the quality measure score for a TestUser given the predictions for his/her test ratings

Specified by:

getScore in class QualityMeasure

Parameters:

testUser - TestUser for which the quality measure score is computed

predictions - Prediction value for the test items rated by the test user

Returns:

Quality measure score