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

Class CaseControlSamplingFactory<I extends IInstance>

java.lang.Object

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

All Implemented Interfaces:

IRerunnableSamplingAlgorithmFactory<I,CaseControlSampling<I>>, ISamplingAlgorithmFactory<I,CaseControlSampling<I>>

public class CaseControlSamplingFactory<I extends IInstance>
extends java.lang.Object
implements IRerunnableSamplingAlgorithmFactory<I,CaseControlSampling<I>>

Constructor Summary

Constructors

Constructor and Description
CaseControlSamplingFactory()

Method Summary

Modifier and Type	Method and Description
CaseControlSampling<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	setPreviousRun(CaseControlSampling<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

CaseControlSamplingFactory

public CaseControlSamplingFactory()

Method Detail

setPreviousRun

public void setPreviousRun(CaseControlSampling<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,CaseControlSampling<I extends IInstance>>

Parameters:

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

getAlgorithm

public CaseControlSampling<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,CaseControlSampling<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.