Class AUC<U>
java.lang.Object
es.uam.eps.ir.relison.links.linkprediction.metrics.AUC<U>
- Type Parameters:
U
- type of the users.
- All Implemented Interfaces:
LinkPredictionMetric<U>
public class AUC<U> extends java.lang.Object implements LinkPredictionMetric<U>
Implementation of the area under the receiver-operating characteristic curve
for link prediction.
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Constructor Summary
Constructors Constructor Description AUC()
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Method Summary
Modifier and Type Method Description private double
computeAUC(java.util.List<Pair<java.lang.Double>> roc)
Given a ROC curve, computes its area.double
evaluate(Graph<U> graph, Prediction<U> pred)
Evaluates a link prediction algorithm.double
evaluate(Graph<U> graph, Prediction<U> pred, java.util.function.Predicate<Pair<U>> filter)
Evaluates a link prediction algorithm.double
evaluate(Graph<U> graph, Prediction<U> pred, java.util.stream.Stream<Pair<U>> users)
Evaluates a link prediction algorithm.
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Constructor Details
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AUC
public AUC()
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Method Details
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evaluate
Description copied from interface:LinkPredictionMetric
Evaluates a link prediction algorithm. It considers that the prediction is applied over all pairs of users in the network.- Specified by:
evaluate
in interfaceLinkPredictionMetric<U>
- Parameters:
graph
- a graph containing the set of links to predict.pred
- the prediction.- Returns:
- the value of the metric.
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evaluate
public double evaluate(Graph<U> graph, Prediction<U> pred, java.util.function.Predicate<Pair<U>> filter)Description copied from interface:LinkPredictionMetric
Evaluates a link prediction algorithm. It considers that the prediction is only applied for a subset of pairs of users in the network: those who pass a given filter.- Specified by:
evaluate
in interfaceLinkPredictionMetric<U>
- Parameters:
graph
- a graph containing the set of links to predict.pred
- the prediction.filter
- the filter for the different pairs of users.- Returns:
- the value of the metric.
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evaluate
Description copied from interface:LinkPredictionMetric
Evaluates a link prediction algorithm. It considers that we only apply this over a given set of links.- Specified by:
evaluate
in interfaceLinkPredictionMetric<U>
- Parameters:
graph
- a graph containing the set of links to predict.pred
- the prediction.users
- the set of users to apply the recommendation to.- Returns:
- the value of the metric.
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computeAUC
Given a ROC curve, computes its area.- Parameters:
roc
- the ROC curve.- Returns:
- the area under the ROC curve.
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