public class OutlierPrecisionRecallCurve extends Object implements Evaluator
Modifier and Type | Class and Description |
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static class |
OutlierPrecisionRecallCurve.Parameterizer
Parameterization class.
|
static class |
OutlierPrecisionRecallCurve.PRCurve
P/R Curve
|
Modifier and Type | Field and Description |
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private static Logging |
LOG
The logger.
|
private Pattern |
positiveClassName
Stores the "positive" class.
|
Constructor and Description |
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OutlierPrecisionRecallCurve(Pattern positiveClassName)
Constructor.
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Modifier and Type | Method and Description |
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private XYCurve |
computePrecisionResult(int size,
SetDBIDs ids,
DBIDIter iter,
DoubleRelation scores) |
void |
processNewResult(ResultHierarchy hier,
Result result)
Process a result.
|
private static final Logging LOG
private Pattern positiveClassName
public OutlierPrecisionRecallCurve(Pattern positiveClassName)
positiveClassName
- Pattern to recognize outlierspublic void processNewResult(ResultHierarchy hier, Result result)
ResultProcessor
processNewResult
in interface ResultProcessor
hier
- The base of the result tree.result
- Newly added result subtree.private XYCurve computePrecisionResult(int size, SetDBIDs ids, DBIDIter iter, DoubleRelation scores)
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.