de.lmu.ifi.dbs.elki.evaluation.outlier

Class OutlierPrecisionAtKCurve

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve

All Implemented Interfaces:

Evaluator, ResultProcessor

public class OutlierPrecisionAtKCurve
extends Object
implements Evaluator

Compute a curve containing the precision values for an outlier detection method.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	OutlierPrecisionAtKCurve.Parameterizer Parameterization class.
static class	OutlierPrecisionAtKCurve.PrecisionAtKCurve Precision at K curve.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger.
static OptionID	MAX_K_ID Maximum value for k Key: -precision.k
(package private) int	maxk Maximum value for k
static OptionID	POSITIVE_CLASS_NAME_ID The pattern to identify positive classes.
private Pattern	positiveClassName Stores the "positive" class.

Constructor Summary

Constructors

Constructor and Description
OutlierPrecisionAtKCurve(Pattern positiveClassName, int maxk) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
private XYCurve	computePrecisionResult(int size, SetDBIDs positiveids, DBIDs order)
void	processNewResult(HierarchicalResult baseResult, Result result) Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger.

POSITIVE_CLASS_NAME_ID

public static final OptionID POSITIVE_CLASS_NAME_ID

The pattern to identify positive classes.

Key: -precision.positive

MAX_K_ID

public static final OptionID MAX_K_ID

Maximum value for k

Key: -precision.k

positiveClassName

private Pattern positiveClassName

Stores the "positive" class.

maxk

int maxk

Maximum value for k

Constructor Detail

OutlierPrecisionAtKCurve

public OutlierPrecisionAtKCurve(Pattern positiveClassName,
                        int maxk)

Constructor.

Parameters:

positiveClassName - Pattern to recognize outliers

maxk - Maximum value for k

Method Detail

processNewResult

public void processNewResult(HierarchicalResult baseResult,
                    Result result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

baseResult - The base of the result tree.

result - Newly added result subtree.

computePrecisionResult

private XYCurve computePrecisionResult(int size,
                             SetDBIDs positiveids,
                             DBIDs order)