ai.libs.jaicore.ml.rqp

Class ChooseKAugSpaceSampler

java.lang.Object

ai.libs.jaicore.ml.rqp.AbstractAugmentedSpaceSampler

ai.libs.jaicore.ml.rqp.ChooseKAugSpaceSampler

All Implemented Interfaces:

IAugmentedSpaceSampler

public class ChooseKAugSpaceSampler
extends AbstractAugmentedSpaceSampler

Samples interval-valued data from a dataset of precise points by sampling k precise points (with replacement) and generating a point in the interval-valued augmented space by only considering those k points, i.e. choosing respective minima and maxima for each attribute from the chosen precise points.

Constructor Summary

Constructors

Constructor and Description
ChooseKAugSpaceSampler(weka.core.Instances preciseInsts, java.util.Random rng, int k)

Method Summary

Modifier and Type	Method and Description
weka.core.Instance	augSpaceSample() Generates a point in the augmented space from the AugmentedSpaceSampler's precise dataset.
int	getK()
void	setK(int k)

Methods inherited from class ai.libs.jaicore.ml.rqp.AbstractAugmentedSpaceSampler

generateAugPoint, getPreciseInsts, getRng

Methods inherited from class java.lang.Object

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

Constructor Detail

ChooseKAugSpaceSampler

public ChooseKAugSpaceSampler(weka.core.Instances preciseInsts,
                              java.util.Random rng,
                              int k)

Method Detail

augSpaceSample

public weka.core.Instance augSpaceSample()

Description copied from interface: IAugmentedSpaceSampler

Generates a point in the augmented space from the AugmentedSpaceSampler's precise dataset.

Returns:

A point in the augmented space consisting of upper and lower bounds for each attribute, including the target.

getK

public int getK()

Returns:

the k

setK

public void setK(int k)

Parameters:

k - the k to set