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

Class OSMACSamplingFactory<I extends IInstance>

java.lang.Object

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

All Implemented Interfaces:

IRerunnableSamplingAlgorithmFactory<I,OSMAC<I>>, ISamplingAlgorithmFactory<I,OSMAC<I>>

public class OSMACSamplingFactory<I extends IInstance>
extends java.lang.Object
implements IRerunnableSamplingAlgorithmFactory<I,OSMAC<I>>

Constructor Summary

Constructors

Constructor and Description
OSMACSamplingFactory()

Method Summary

Modifier and Type	Method and Description
OSMAC<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	setPreSampleSize(int preSampleSize) Set the size of the sample the pilot estimator will be trained with.
void	setPreviousRun(OSMAC<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

OSMACSamplingFactory

public OSMACSamplingFactory()

Method Detail

setPreSampleSize

public void setPreSampleSize(int preSampleSize)

Set the size of the sample the pilot estimator will be trained with. Default is half the dataset.

Parameters:

preSampleSize -

setPreviousRun

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

Parameters:

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

getAlgorithm

public OSMAC<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,OSMAC<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.