org.neuroph.contrib.model.sampling

Class AbstractSampling

java.lang.Object

org.neuroph.contrib.model.sampling.AbstractSampling

All Implemented Interfaces:

Sampling

Direct Known Subclasses:

RandomSamplingWithoutRepetition, RandomSamplingWithRepetition

public abstract class AbstractSampling
extends java.lang.Object
implements Sampling

Skeleton class which makes easy to implement concrete Sampling algorithms TODO: Remove this class

Constructor Summary

Constructors

Constructor and Description
AbstractSampling(int numberOfSamples)

Method Summary

Modifier and Type	Method and Description
java.util.List<DataSet>	sample(DataSet dataSet) Skeleton implementation for sample method

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractSampling

public AbstractSampling(int numberOfSamples)

Method Detail

sample

public java.util.List<DataSet> sample(DataSet dataSet)

Skeleton implementation for sample method

Specified by:

sample in interface Sampling

Parameters:

dataSet - initial data set

Returns:

DataSets created using sampling algorithm