Package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories

Class StratifiedSamplingFactory<D extends org.api4.java.ai.ml.core.dataset.IDataset<?>>

java.lang.Object

ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.ASampleAlgorithmFactory<D,StratifiedSampling<D>>

ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.StratifiedSamplingFactory<D>

All Implemented Interfaces:

ISamplingAlgorithmFactory<D,StratifiedSampling<D>>, org.api4.java.common.reconstruction.IReconstructible

public class StratifiedSamplingFactory<D extends org.api4.java.ai.ml.core.dataset.IDataset<?>>
extends ASampleAlgorithmFactory<D,StratifiedSampling<D>>
implements ISamplingAlgorithmFactory<D,StratifiedSampling<D>>

Constructor Summary

Constructors

Constructor	Description
StratifiedSamplingFactory(IStratiAmountSelector stratiAmountSelector, IStratiAssigner stratiAssigner)

Method Summary

Modifier and Type	Method	Description
StratifiedSampling<D>	getAlgorithm(int sampleSize, D inputDataset, java.util.Random random)	After the necessary config is done, this method returns a fully configured instance of a sampling algorithm.

Methods inherited from class ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.ASampleAlgorithmFactory

addInstruction, create, getAlgorithm, getConstructionInstruction, getConstructionPlan, getRandom, getSampleSize, getSeed, setRandom, setSampleSize, setSeed

Methods inherited from class java.lang.Object

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

Methods inherited from interface ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory

getAlgorithm

Constructor Detail

StratifiedSamplingFactory

public StratifiedSamplingFactory(IStratiAmountSelector stratiAmountSelector,
                                 IStratiAssigner stratiAssigner)

Method Detail

getAlgorithm

public StratifiedSampling<D> getAlgorithm(int sampleSize,
                                          D 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<D extends org.api4.java.ai.ml.core.dataset.IDataset<?>,StratifiedSampling<D extends org.api4.java.ai.ml.core.dataset.IDataset<?>>>

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.