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

Class AveragePrecisionAtK.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer<V,D>

All Implemented Interfaces:

Parameterizer

Enclosing class:

AveragePrecisionAtK<V,D extends NumberDistance<D,?>>

public static class AveragePrecisionAtK.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k Neighborhood size.
private static OptionID	K_ID Parameter k to compute the average precision at.
protected double	sampling Relative amount of data to sample.
static OptionID	SAMPLING_ID Parameter to enable sampling.
protected Long	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
AveragePrecisionAtK.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected AveragePrecisionAtK<V,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.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

K_ID

private static final OptionID K_ID

Parameter k to compute the average precision at.

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.

k

protected int k

Neighborhood size.

sampling

protected double sampling

Relative amount of data to sample.

seed

protected Long seed

Random sampling seed.

Constructor Detail

AveragePrecisionAtK.Parameterizer

public AveragePrecisionAtK.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<V extends NumberVector<?>,D extends NumberDistance<D,?>>

Parameters:

config - Parameterization to add options to.

makeInstance

protected AveragePrecisionAtK<V,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance