org.neuroph.util.data.sample

Class SubSampling

java.lang.Object

org.neuroph.util.data.sample.SubSampling

All Implemented Interfaces:

Sampling

public class SubSampling
extends Object
implements Sampling

This class provides sub-sampling of a data set, and creates a specified number of subsets form given data set.

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
SubSampling(double... subSetSizes) Sampling will create subsets of specified sizes.
SubSampling(int numSubSets) Sampling will produce a specified number of subsets of equal sizes.

Method Summary

Modifier and Type	Method and Description
DataSet[]	sample(DataSet dataSet)

Methods inherited from class java.lang.Object

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

Constructor Detail

SubSampling

public SubSampling(int numSubSets)

Sampling will produce a specified number of subsets of equal sizes. Handy for sub-sampling in KFold crossvalidation

Parameters:

numSubSets - number of subsets to create

SubSampling

public SubSampling(double... subSetSizes)

Sampling will create subsets of specified sizes. Sum of specified sub set sizes must be 1.

Parameters:

subSetSizes - size of subsets in percents

Method Detail

sample

public DataSet[] sample(DataSet dataSet)

Specified by:

sample in interface Sampling