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

Class OSMAC<I extends ILabeledAttributeArrayInstance<?>,D extends IDataset<I>>

java.lang.Object

ai.libs.jaicore.basic.algorithm.AAlgorithm<D,D>

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

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.CaseControlLikeSampling<I,D>

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.PilotEstimateSampling<I,D>

ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.OSMAC<I,D>

All Implemented Interfaces:

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

public class OSMAC<I extends ILabeledAttributeArrayInstance<?>,D extends IDataset<I>>
extends PilotEstimateSampling<I,D>

Field Summary

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

preSampleSize

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

probabilityBoundaries, rand

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

sample, sampleSize

Constructor Summary

Constructors

Constructor	Description
OSMAC(java.util.Random rand, int preSampleSize, D input)

Method Summary

Modifier and Type	Method	Description
protected java.util.ArrayList<ai.libs.jaicore.basic.sets.Pair<I,java.lang.Double>>	calculateFinalInstanceBoundaries(D instances, weka.classifiers.Classifier pilotEstimator)

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

getChosenInstance, nextWithException, setChosenInstance

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

calculateInstanceBoundaries, countClassOccurrences, getProbabilityBoundaries, setProbabilityBoundaries

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

call, doInactiveStep, getComplement, 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 ai.libs.jaicore.basic.Cancelable

cancel

Methods inherited from interface ai.libs.jaicore.basic.algorithm.IAlgorithm

getConfig, getId, getInput, getNumCPUs, getTimeout, registerListener, setMaxNumThreads, setNumCPUs, setTimeout, setTimeout

Methods inherited from interface java.lang.Iterable

forEach, iterator, spliterator

Methods inherited from interface java.util.Iterator

forEachRemaining, hasNext, next, remove

Constructor Detail

OSMAC

public OSMAC(java.util.Random rand,
             int preSampleSize,
             D input)

Method Detail

calculateFinalInstanceBoundaries

protected java.util.ArrayList<ai.libs.jaicore.basic.sets.Pair<I,java.lang.Double>> calculateFinalInstanceBoundaries(D instances,
                                                                                                                          weka.classifiers.Classifier pilotEstimator)