de.lmu.ifi.dbs.elki.algorithm.statistics

Class EvaluateRetrievalPerformance.Parameterizer<O>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<O>

de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

EvaluateRetrievalPerformance<O>

public static class EvaluateRetrievalPerformance.Parameterizer<O>
extends AbstractDistanceBasedAlgorithm.Parameterizer<O>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	includeSelf Include query object in evaluation.
static OptionID	INCLUDESELF_ID Parameter to include the query object.
protected int	maxk Maximum k for evaluation.
static OptionID	MAXK_ID Parameter for maximum value of k.
protected double	sampling Relative amount of data to sample.
static OptionID	SAMPLING_ID Parameter to enable sampling.
protected RandomFactory	seed Random sampling seed.
static OptionID	SEED_ID Parameter to control the sampling random seed.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
EvaluateRetrievalPerformance.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected EvaluateRetrievalPerformance<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.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

SAMPLING_ID

public static final OptionID SAMPLING_ID

Parameter to enable sampling.

SEED_ID

public static final OptionID SEED_ID

Parameter to control the sampling random seed.

INCLUDESELF_ID

public static final OptionID INCLUDESELF_ID

Parameter to include the query object.

MAXK_ID

public static final OptionID MAXK_ID

Parameter for maximum value of k.

sampling

protected double sampling

Relative amount of data to sample.

seed

protected RandomFactory seed

Random sampling seed.

includeSelf

protected boolean includeSelf

Include query object in evaluation.

maxk

protected int maxk

Maximum k for evaluation.

Constructor Detail

EvaluateRetrievalPerformance.Parameterizer

public EvaluateRetrievalPerformance.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 AbstractDistanceBasedAlgorithm.Parameterizer<O>

Parameters:

config - Parameterization to add options to.

makeInstance

protected EvaluateRetrievalPerformance<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance