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 subsampling of a data set, and creates a specified number of subsets of a specified number of samples form given data set.

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
SubSampling(int... subSetSizes) Sampling will produce subsets of specified sizes (in percents)
SubSampling(int subSetCount) Sampling will produce a specified number of subsets of equal sizes Handy for K Fold subsampling

Method Summary

Modifier and Type	Method and Description
boolean	getAllowRepetition() Get flag which indicates if sample repetition is allowed in subsets
List<DataSet>	sample(DataSet dataSet)
void	setAllowRepetition(boolean allowRepetition) Set flag to allow repetition of samples in subsets

Methods inherited from class java.lang.Object

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

Constructor Detail

SubSampling

public SubSampling(int subSetCount)

Sampling will produce a specified number of subsets of equal sizes Handy for K Fold subsampling

Parameters:

subSetCount - number of subsets to produce

SubSampling

public SubSampling(int... subSetSizes)

Sampling will produce subsets of specified sizes (in percents)

Parameters:

subSetSizes - size of subsets in percents

Method Detail

sample

public List<DataSet> sample(DataSet dataSet)

Specified by:

sample in interface Sampling

getAllowRepetition

public boolean getAllowRepetition()

Get flag which indicates if sample repetition is allowed in subsets

Returns:

setAllowRepetition

public void setAllowRepetition(boolean allowRepetition)

Set flag to allow repetition of samples in subsets

Parameters:

allowRepetition -