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

Class SimpleRandomSamplingFactory<I,D extends IOrderedDataset<I>>

java.lang.Object

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SimpleRandomSamplingFactory<I,D>

All Implemented Interfaces:

ISamplingAlgorithmFactory<I,D,SimpleRandomSampling<I,D>>

public class SimpleRandomSamplingFactory<I,D extends IOrderedDataset<I>>
extends java.lang.Object
implements ISamplingAlgorithmFactory<I,D,SimpleRandomSampling<I,D>>

Constructor Summary

Constructors

Constructor	Description
SimpleRandomSamplingFactory()

Method Summary

Modifier and Type	Method	Description
SimpleRandomSampling<I,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 java.lang.Object

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

Constructor Detail

SimpleRandomSamplingFactory

public SimpleRandomSamplingFactory()

Method Detail

getAlgorithm

public SimpleRandomSampling<I,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<I,D extends IOrderedDataset<I>,SimpleRandomSampling<I,D extends IOrderedDataset<I>>>

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.