Package es.uam.eps.ir.relison.diffusion.metrics.features.global

Class FeatureGlobalKLDivergenceInverse<U extends java.io.Serializable,I extends java.io.Serializable,P>

java.lang.Object

es.uam.eps.ir.relison.diffusion.metrics.AbstractGlobalSimulationMetric<U,I,F>

es.uam.eps.ir.relison.diffusion.metrics.features.AbstractFeatureGlobalSimulationMetric<U,I,F>

es.uam.eps.ir.relison.diffusion.metrics.features.global.AbstractFeatureGlobalKLDivergence<U,I,P>

es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalKLDivergenceInverse<U,I,P>

Type Parameters:

U - type of the users.

I - type of the information pieces.

P - type of the parameters.

All Implemented Interfaces:

GlobalSimulationMetric<U,I,P>, SimulationMetric<U,I,P>

public class FeatureGlobalKLDivergenceInverse<U extends java.io.Serializable,I extends java.io.Serializable,P>
extends AbstractFeatureGlobalKLDivergence<U,I,P>

This global metric computes the number of bytes of information we expect to lose if we approximate the observed distribution of the parameters with their prior distribution (i.e. how many times have they appeared over the different information pieces). We apply a Laplace smoothing to prevent divisions by zero in both distributions.

Field Summary

Fields

Modifier and Type	Field	Description
private static java.lang.String	ENTROPY	Name fixed value.

Fields inherited from class es.uam.eps.ir.relison.diffusion.metrics.features.global.AbstractFeatureGlobalKLDivergence

pvalues, qvalues, sumP, sumQ

Fields inherited from class es.uam.eps.ir.relison.diffusion.metrics.AbstractGlobalSimulationMetric

data, initialized

Constructor Summary

Constructors

Constructor	Description
FeatureGlobalKLDivergenceInverse(java.lang.String feature, boolean userFeat, boolean unique)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	calculate()	Calculates the metric for the current state of the simulation.

Methods inherited from class es.uam.eps.ir.relison.diffusion.metrics.features.global.AbstractFeatureGlobalKLDivergence

clear, initialize, updateInfoFeature, updateUserFeature

Methods inherited from class es.uam.eps.ir.relison.diffusion.metrics.features.AbstractFeatureGlobalSimulationMetric

getFeature, update, usesUserFeatures

Methods inherited from class es.uam.eps.ir.relison.diffusion.metrics.AbstractGlobalSimulationMetric

getName, initialize, isInitialized

Methods inherited from class java.lang.Object

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

Methods inherited from interface es.uam.eps.ir.relison.diffusion.metrics.SimulationMetric

calculate, initialize

Field Details

ENTROPY

private static final java.lang.String ENTROPY

Name fixed value.

See Also:

Constant Field Values

Constructor Details

FeatureGlobalKLDivergenceInverse

public FeatureGlobalKLDivergenceInverse(java.lang.String feature, boolean userFeat, boolean unique)

Constructor.

Parameters:

userFeat - true if we are using a user feature, false if we are using an information piece feature.

feature - the name of the feature.

unique - true if a piece of information is considered once, false if it is considered each time it appears.

Method Details

calculate

public double calculate()

Description copied from interface: SimulationMetric

Calculates the metric for the current state of the simulation.

Returns:

the value of the metric for the current state of the simulation