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

Class StratifiedSampling<I extends IInstance>

java.lang.Object

ai.libs.jaicore.basic.algorithm.AAlgorithm<IDataset<I>,IDataset<I>>

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ASamplingAlgorithm<I>

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.StratifiedSampling<I>

All Implemented Interfaces:

ai.libs.jaicore.basic.algorithm.IAlgorithm<IDataset<I>,IDataset<I>>, ai.libs.jaicore.basic.Cancelable, ai.libs.jaicore.basic.ILoggingCustomizable, java.lang.Iterable<ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent>, java.util.concurrent.Callable<IDataset<I>>, java.util.Iterator<ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent>

public class StratifiedSampling<I extends IInstance>
extends ASamplingAlgorithm<I>

Implementation of Stratified Sampling: Divide dataset into strati and sample from each of these.

Field Summary

Fields inherited from class ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ASamplingAlgorithm

sample, sampleSize

Constructor Summary

Constructors

Constructor and Description
StratifiedSampling(IStratiAmountSelector<I> stratiAmountSelector, IStratiAssigner<I> stratiAssigner, java.util.Random random, IDataset<I> input) Constructor for Stratified Sampling.

Method Summary

Modifier and Type	Method and Description
IDataset<I>[]	getStrati()
ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent	nextWithException()
void	setStrati(IDataset<I>[] strati)

Methods inherited from class ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ASamplingAlgorithm

call, doInactiveStep, setSampleSize

Methods inherited from class ai.libs.jaicore.basic.algorithm.AAlgorithm

activate, announceTimeoutDetected, avoidReinterruptionOnShutdownOnCurrentThread, cancel, checkAndConductTermination, checkTermination, computeTimeoutAware, getActivationTime, getConfig, getId, getInput, getLoggerName, getNumCPUs, getRemainingTimeToDeadline, getState, getTimeout, getTimeoutPrecautionOffset, hasNext, hasThreadBeenInterruptedDuringShutdown, interruptThreadAsPartOfShutdown, isCanceled, isShutdownInitialized, isStopCriterionSatisfied, isTimeouted, iterator, next, post, registerActiveThread, registerListener, resolveShutdownInterruptOnCurrentThread, setConfig, setLoggerName, setMaxNumThreads, setNumCPUs, setState, setTimeout, setTimeout, setTimeoutPrecautionOffset, shutdown, terminate, unregisterActiveThread, unregisterThreadAndShutdown

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Methods inherited from interface java.util.Iterator

forEachRemaining, remove

Constructor Detail

StratifiedSampling

public StratifiedSampling(IStratiAmountSelector<I> stratiAmountSelector,
                          IStratiAssigner<I> stratiAssigner,
                          java.util.Random random,
                          IDataset<I> input)

Constructor for Stratified Sampling.

Parameters:

stratiAmountSelector - The custom selector for the used amount of strati.

stratiAssigner - Custom logic to assign datapoints into strati.

random - Random object for sampling inside of the strati.

Method Detail

nextWithException

public ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent nextWithException()
                                                                        throws java.lang.InterruptedException,
                                                                               ai.libs.jaicore.basic.algorithm.exceptions.AlgorithmException

Throws:

java.lang.InterruptedException

ai.libs.jaicore.basic.algorithm.exceptions.AlgorithmException

getStrati

public IDataset<I>[] getStrati()

setStrati

public void setStrati(IDataset<I>[] strati)