jsat.outlier

Class LoOP

java.lang.Object

jsat.outlier.LoOP

All Implemented Interfaces:

java.io.Serializable, Outlier

public class LoOP
extends java.lang.Object
implements Outlier

This class implements the Local Outlier Probabilities (LoOP) algorithm for outlier detection.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LoOP()
LoOP(int minPnts)
LoOP(int minPnts, DistanceMetric dm)

Method Summary

Modifier and Type	Method and Description
void	fit(DataSet d, boolean parallel)
DistanceMetric	getDistanceMetric()
double	getLambda()
int	getMinPnts()
double	score(DataPoint x) Returns an unbounded anomaly/outlier score.
void	setDistanceMetric(DistanceMetric distanceMetric)
void	setLambda(double lambda)
void	setMinPnts(int minPnts)

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.outlier.Outlier

fit, isOutlier

Constructor Detail

LoOP

public LoOP()

LoOP

public LoOP(int minPnts)

LoOP

public LoOP(int minPnts,
            DistanceMetric dm)

Method Detail

setMinPnts

public void setMinPnts(int minPnts)

getMinPnts

public int getMinPnts()

setLambda

public void setLambda(double lambda)

getLambda

public double getLambda()

setDistanceMetric

public void setDistanceMetric(DistanceMetric distanceMetric)

getDistanceMetric

public DistanceMetric getDistanceMetric()

fit

public void fit(DataSet d,
                boolean parallel)

Specified by:

fit in interface Outlier

score

public double score(DataPoint x)

Description copied from interface: Outlier

Returns an unbounded anomaly/outlier score. Negative values indicate the input is likely to be an outlier, and positive values that the input is likely to be an inlier.

Specified by:

score in interface Outlier

Returns: