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

Interface Summary

Interface	Description
ISamplingAlgorithm<D extends IDataset<?>>	Interface for sampling algorithms.

Class Summary

Class	Description
ASamplingAlgorithm<I,D extends IDataset<I>>	An abstract class for sampling algorithms providing basic functionality of an algorithm.
ClusterSampling<I extends INumericLabeledAttributeArrayInstance<? extends java.lang.Number>,D extends IDataset<I>>
GmeansSampling<I extends INumericLabeledAttributeArrayInstance<? extends java.lang.Number>,D extends IDataset<I>>	Implementation of a sampling method using gmeans-clustering.
KmeansSampling<I extends INumericLabeledAttributeArrayInstance<? extends java.lang.Number>,D extends IDataset<I>>	Implementation of a sampling method using kmeans-clustering.
SimpleRandomSampling<I,D extends IOrderedDataset<I>>
SystematicSampling<I extends INumericArrayInstance,D extends IOrderedDataset<I>>	Implementation of Systematic Sampling: Sort datapoints and pick every k-th datapoint for the sample.
WaitForSamplingStepEvent