de.lmu.ifi.dbs.elki.algorithm.benchmark

Class KNNBenchmarkAlgorithm.Parameterizer<O,D extends Distance<D>>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer<O,D>

Type Parameters:

O - Object type

D - Distance type

All Implemented Interfaces:

Parameterizer

Enclosing class:

KNNBenchmarkAlgorithm<O,D extends Distance<D>>

public static class KNNBenchmarkAlgorithm.Parameterizer<O,D extends Distance<D>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<O,D>

Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k K parameter
static OptionID	K_ID Parameter for the number of neighbors.
protected DatabaseConnection	queries The alternate query point source.
static OptionID	QUERY_ID Parameter for the query dataset.
protected RandomFactory	random Random generator factory
static OptionID	RANDOM_ID Parameter for the random generator
protected double	sampling Sampling size.
static OptionID	SAMPLING_ID Parameter for the sampling size.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
KNNBenchmarkAlgorithm.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected KNNBenchmarkAlgorithm<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.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

public static final OptionID K_ID

Parameter for the number of neighbors.

QUERY_ID

public static final OptionID QUERY_ID

Parameter for the query dataset.

SAMPLING_ID

public static final OptionID SAMPLING_ID

Parameter for the sampling size.

RANDOM_ID

public static final OptionID RANDOM_ID

Parameter for the random generator

k

protected int k

K parameter

queries

protected DatabaseConnection queries

The alternate query point source. Optional.

sampling

protected double sampling

Sampling size.

random

protected RandomFactory random

Random generator factory

Constructor Detail

KNNBenchmarkAlgorithm.Parameterizer

public KNNBenchmarkAlgorithm.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,D extends Distance<D>>

Parameters:

config - Parameterization to add options to.

makeInstance

protected KNNBenchmarkAlgorithm<O,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance