Package elki.application.greedyensemble

Class GreedyEnsembleExperiment.Par

java.lang.Object

elki.application.AbstractApplication.Par

elki.application.greedyensemble.GreedyEnsembleExperiment.Par

All Implemented Interfaces:

Parameterizer

Enclosing class:

GreedyEnsembleExperiment

public static class GreedyEnsembleExperiment.Par
extends AbstractApplication.Par

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
(package private) GreedyEnsembleExperiment.Distance	distance	Distance in use.
static OptionID	DISTANCE_ID	Similarity measure
(package private) InputStep	inputstep	Data source.
(package private) ScalingFunction	prescaling	Outlier scaling to apply during preprocessing.
static OptionID	PRESCALING_ID	Scaling to apply to input scores.
(package private) double	rate	Expected rate of outliers
static OptionID	RATE_ID	Expected rate of outliers
(package private) ScalingFunction	scaling	Outlier scaling to apply to constructed ensembles.
static OptionID	SCALING_ID	Scaling to apply to ensemble scores.
(package private) EnsembleVoting	voting	Ensemble voting method.
static OptionID	VOTING_ID	Ensemble voting function.

Fields inherited from class elki.application.AbstractApplication.Par

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

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(Parameterization config)	Configure the class.
GreedyEnsembleExperiment	make()	Make an instance after successful configuration.

Methods inherited from class elki.application.AbstractApplication.Par

applyLoggingLevels, getParameterInputFile, getParameterInputFile, getParameterOutputFile, getParameterOutputFile, parseDebugParameter, parseVerbose

Methods inherited from class java.lang.Object

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

Field Detail

RATE_ID

public static final OptionID RATE_ID

Expected rate of outliers

VOTING_ID

public static final OptionID VOTING_ID

Ensemble voting function.

PRESCALING_ID

public static final OptionID PRESCALING_ID

Scaling to apply to input scores.

SCALING_ID

public static final OptionID SCALING_ID

Scaling to apply to ensemble scores.

DISTANCE_ID

public static final OptionID DISTANCE_ID

Similarity measure

inputstep

InputStep inputstep

Data source.

voting

EnsembleVoting voting

Ensemble voting method.

distance

GreedyEnsembleExperiment.Distance distance

Distance in use.

prescaling

ScalingFunction prescaling

Outlier scaling to apply during preprocessing.

scaling

ScalingFunction scaling

Outlier scaling to apply to constructed ensembles.

rate

double rate

Expected rate of outliers

Constructor Detail

Par

public Par()

Method Detail

configure

public void configure(Parameterization config)

Description copied from interface: Parameterizer

Configure the class.

Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.

Parameters:

config - Parameterization

make

public GreedyEnsembleExperiment make()

Description copied from interface: Parameterizer

Make an instance after successful configuration.

Note: your class should return the exact type, only this very broad interface should use Object as return type.

Specified by:

make in interface Parameterizer

Specified by:

make in class AbstractApplication.Par

Returns:

a new instance