de.lmu.ifi.dbs.elki.application.greedyensemble

Class ComputeKNNOutlierScores.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer<O,D>

All Implemented Interfaces:

Parameterizer

Enclosing class:

ComputeKNNOutlierScores<O extends NumberVector<?>,D extends NumberDistance<D,?>>

public static class ComputeKNNOutlierScores.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractApplication.Parameterizer

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) ByLabelOutlier	bylabel By label outlier -- reference
(package private) DistanceFunction<? super O,D>	distf Distance function to use
(package private) InputStep	inputstep Data source
(package private) int	maxk Maximum value of k
static OptionID	MAXK_ID Option ID for k step size.
(package private) File	outfile Output destination file
(package private) ScalingFunction	scaling Scaling function.
static OptionID	SCALING_ID Option ID for scaling class
(package private) int	startk starting value of k
static OptionID	STARTK_ID Option ID for k start size.
(package private) int	stepk k step size
static OptionID	STEPK_ID Option ID for k step size.

Fields inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

DEBUG_ID, DESCRIPTION_ID, HELP_ID, HELP_LONG_ID, INPUT_ID, OUTPUT_ID, VERBOSE_ID

Constructor Summary

Constructors

Constructor and Description
ComputeKNNOutlierScores.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected ComputeKNNOutlierScores<O,D>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

getParameterInputFile, getParameterInputFile, getParameterOutputFile, getParameterOutputFile

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

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

Field Detail

STEPK_ID

public static final OptionID STEPK_ID

Option ID for k step size.

STARTK_ID

public static final OptionID STARTK_ID

Option ID for k start size.

MAXK_ID

public static final OptionID MAXK_ID

Option ID for k step size.

SCALING_ID

public static final OptionID SCALING_ID

Option ID for scaling class

stepk

int stepk

k step size

startk

int startk

starting value of k

maxk

int maxk

Maximum value of k

inputstep

InputStep inputstep

Data source

distf

DistanceFunction<? super O extends NumberVector<?>,D extends NumberDistance<D,?>> distf

Distance function to use

bylabel

ByLabelOutlier bylabel

By label outlier -- reference

scaling

ScalingFunction scaling

Scaling function.

outfile

File outfile

Output destination file

Constructor Detail

ComputeKNNOutlierScores.Parameterizer

public ComputeKNNOutlierScores.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected ComputeKNNOutlierScores<O,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractApplication.Parameterizer

Returns:

instance