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

Class ComputeKNNOutlierScores.Parameterizer<O extends NumberVector>

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>

All Implemented Interfaces:

Parameterizer

Enclosing class:

ComputeKNNOutlierScores<O extends NumberVector>

public static class ComputeKNNOutlierScores.Parameterizer<O extends NumberVector>
extends AbstractApplication.Parameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) ByLabelOutlier	bylabel By label outlier -- reference
(package private) Pattern	disable Pattern for disabling (skipping) methods.
static OptionID	DISABLE_ID Option ID for disabling methods.
(package private) DistanceFunction<? super O>	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>	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.

DISABLE_ID

public static final OptionID DISABLE_ID

Option ID for disabling methods.

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> distf

Distance function to use

bylabel

ByLabelOutlier bylabel

By label outlier -- reference

scaling

ScalingFunction scaling

Scaling function.

outfile

File outfile

Output destination file

disable

Pattern disable

Pattern for disabling (skipping) methods.

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> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractApplication.Parameterizer

Returns:

instance