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

Interface ISamplingAlgorithmFactory<I extends IInstance,A extends ASamplingAlgorithm<I>>

Type Parameters:

I - Type of the dataset instances.

A - Type of the sampling algorithm that will be created.

All Known Subinterfaces:

IRerunnableSamplingAlgorithmFactory<I,A>

All Known Implementing Classes:

CaseControlSamplingFactory, GmeansSamplingFactory, KmeansSamplingFactory, LocalCaseControlSamplingFactory, OSMACSamplingFactory, SimpleRandomSamplingFactory, StratifiedSamplingFactory, SystematicSamplingFactory

public interface ISamplingAlgorithmFactory<I extends IInstance,A extends ASamplingAlgorithm<I>>

Interface for a factory, which creates a sampling algorithm.

Method Summary

Modifier and Type	Method and Description
A	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.

Method Detail

getAlgorithm

A 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.

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.