ISamplingAlgorithmFactory (jaicore-ml 0.2.5 API)

Type Parameters:

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

All Known Subinterfaces:

IRerunnableSamplingAlgorithmFactory<D,A>

All Known Implementing Classes:

ASampleAlgorithmFactory, GmeansSamplingFactory, KmeansSamplingFactory, LabelBasedStratifiedSamplingFactory, LocalCaseControlSamplingFactory, OSMACSamplingFactory, SimpleRandomSamplingFactory, StratifiedSamplingFactory, SystematicSamplingFactory
```
public interface ISamplingAlgorithmFactory<D extends org.api4.java.ai.ml.core.dataset.IDataset<?>,A extends ASamplingAlgorithm<D>>
```
Interface for a factory, which creates a sampling algorithm.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`A`	`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.
`A`	`getAlgorithm(D inputDataset)`	After the necessary config is done, this method returns a fully configured instance of a sampling algorithm.

- Method Detail
  - getAlgorithm
```
A 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.
    
    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.
  - getAlgorithm
```
A getAlgorithm(D inputDataset)
```
    After the necessary config is done, this method returns a fully configured instance of a sampling algorithm. Here, it is assumed that random aspects or sample sizes have already been defined before