KNNAugSpaceSampler (jaicore-ml-weka 0.2.4 API)

java.lang.Object
- ai.libs.jaicore.ml.weka.rangequery.AbstractAugmentedSpaceSampler
- - ai.libs.jaicore.ml.weka.rangequery.KNNAugSpaceSampler

All Implemented Interfaces:

IAugmentedSpaceSampler
```
public class KNNAugSpaceSampler
extends AbstractAugmentedSpaceSampler
```
Samples interval-valued data from a dataset of precise points. First chooses one point uniformly at random and then generates a point in the interval-valued augmented space from it and its (exact) K nearest neighbors according to euclidean distance on the attributes, excluding the class, which is assumed to be the last attribute.

Constructor Summary

Constructors
Constructor	Description
`KNNAugSpaceSampler(weka.core.Instances preciseInsts, java.util.Random rng, int k, weka.core.neighboursearch.NearestNeighbourSearch nearestNeighbour)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	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.weka.rangequery.AbstractAugmentedSpaceSampler
generateAugPoint, getPreciseInsts, getRng

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - KNNAugSpaceSampler
```
public KNNAugSpaceSampler(weka.core.Instances preciseInsts,
                          java.util.Random rng,
                          int k,
                          weka.core.neighboursearch.NearestNeighbourSearch nearestNeighbour)
```
    Parameters:
    
    nearestNeighbour - The nearest neighbour search algorithm to use.
- 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