ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories

Class SystematicSamplingFactory<I extends IInstance>

java.lang.Object

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SystematicSamplingFactory<I>

All Implemented Interfaces:

IRerunnableSamplingAlgorithmFactory<I,SystematicSampling<I>>, ISamplingAlgorithmFactory<I,SystematicSampling<I>>

public class SystematicSamplingFactory<I extends IInstance>
extends java.lang.Object
implements IRerunnableSamplingAlgorithmFactory<I,SystematicSampling<I>>

Constructor Summary

Constructors

Constructor and Description
SystematicSamplingFactory()

Method Summary

Modifier and Type	Method and Description
SystematicSampling<I>	getAlgorithm(int sampleSize, IDataset<I> inputDataset, java.util.Random random) After the necessary config is done, this method returns a fully configured instance of a sampling algorithm.
void	setDatapointComparator(java.util.Comparator<I> datapointComparator) Set a custom comparator that will be used to sort the datapoints before sampling.
void	setPreviousRun(SystematicSampling<I> previousRun) Set the previous run of the sampling algorithm, if one occurred, can be set here to get data from it.

Methods inherited from class java.lang.Object

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

Constructor Detail

SystematicSamplingFactory

public SystematicSamplingFactory()

Method Detail

setDatapointComparator

public void setDatapointComparator(java.util.Comparator<I> datapointComparator)

Set a custom comparator that will be used to sort the datapoints before sampling.

Parameters:

datapointComparator - Comparator for two datapoints.

setPreviousRun

public void setPreviousRun(SystematicSampling<I> previousRun)

Description copied from interface: IRerunnableSamplingAlgorithmFactory

Set the previous run of the sampling algorithm, if one occurred, can be set here to get data from it.

Specified by:

setPreviousRun in interface IRerunnableSamplingAlgorithmFactory<I extends IInstance,SystematicSampling<I extends IInstance>>

Parameters:

previousRun - Algorithm object of the previous of the sampling algorithm.

getAlgorithm

public SystematicSampling<I> getAlgorithm(int sampleSize,
                                          IDataset<I> inputDataset,
                                          java.util.Random random)

Description copied from interface: ISamplingAlgorithmFactory

After the necessary config is done, this method returns a fully configured instance of a sampling algorithm.

Specified by:

getAlgorithm in interface ISamplingAlgorithmFactory<I extends IInstance,SystematicSampling<I extends IInstance>>

Parameters:

sampleSize - Desired size of the sample that will be created.

inputDataset - Dataset where the sample will be drawn from.

random - Random object to make samples reproducible.

Returns:

Configured sampling algorithm object.