MSLE (CF4J 2.3.0 API Documentation)

java.lang.Object
- es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure
- - es.upm.etsisi.cf4j.qualityMeasure.prediction.MSLE

```
public class MSLE
extends QualityMeasure
```
This class calculates the Mean Squared Logarithmic Error (MSLE) between the predictions and the test ratings.
MSLE = (Ln(1 + <test item rating prediction>) - Ln(1 + <test item rating>))²

Field Summary
- Fields inherited from class es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure
  recommender

Constructor Summary

Constructors
Constructor Description

MSLE(Recommender recommender)
Constructor of the class which basically calls the father's one

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	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
  - MSLE
```
public MSLE(Recommender recommender)
```
    Constructor of the class which basically calls the father's one
    
    Parameters:
    
    recommender - Recommender instance for which the MSLE are going to be computed
- 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