Package adams.opt.genetic

Class DarkLord

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.opt.genetic.AbstractGeneticAlgorithm

adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

adams.opt.genetic.DarkLord

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, Pausable, Randomizable, ShallowCopySupporter<AbstractGeneticAlgorithm>, SizeOfHandler, Stoppable, StoppableWithFeedback, ThreadLimiter, GeneticFitnessChangeNotifier, Serializable

public class DarkLord
extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

Author:

Dale (dale at cs dot waikato dot ac dot nz), FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DarkLord.DarkLordJob	A job class specific to The Dark Lord.

Nested classes/interfaces inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<T extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation>

Nested classes/interfaces inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob<T extends AbstractClassifierBasedGeneticAlgorithm>

Nested classes/interfaces inherited from class adams.opt.genetic.AbstractGeneticAlgorithm

AbstractGeneticAlgorithm.FitnessContainer, AbstractGeneticAlgorithm.GeneticAlgorithmJob<T extends AbstractGeneticAlgorithm>

Field Summary

Fields inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

m_SecondBestFitness, m_SecondBestSetup, m_SecondBestWeights, m_SecondCrossValidationSeed, m_SecondFolds, m_SecondStoredResults, m_UseSecondEvaluation

Fields inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

m_BitsPerGene, m_Classifier, m_ClassIndex, m_ClassLabelIndex, m_CrossValidationSeed, m_EvaluationPostProcessor, m_FlowContext, m_Folds, m_Generator, m_Instances, m_JobRunner, m_JobRunnerSetup, m_Measure, m_OutputDirectory, m_OutputPrefixType, m_OutputType, m_SetupUpload, m_StoredResults, m_SuppliedPrefix, m_TestInstances, PROPS_FILTER, PROPS_MASK, PROPS_RELATION

Fields inherited from class adams.opt.genetic.AbstractGeneticAlgorithm

m_ActualNumChrom, m_BestFitness, m_BestRange, m_BestSetup, m_BestWeights, m_CurrentIteration, m_FavorZeroes, m_Fitness, m_FitnessChangeListeners, m_FitnessHistory, m_Genes, m_InitialSetupsProvider, m_InitialWeights, m_LastNotificationTime, m_MaxFitnessHistorySize, m_NotificationInterval, m_NumChrom, m_NumGenes, m_NumThreads, m_Paused, m_Random, m_Running, m_Seed, m_Stopped, m_StoppingCriterion

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
DarkLord()

Method Summary

Modifier and Type	Method	Description
protected OutputType	getDefaultOutputType()	Returns the default output type to use.
String	globalInfo()	Returns a string describing the object.
protected DarkLord.DarkLordJob	newJob(int chromosome, int[] w, weka.core.Instances data, weka.core.Instances testData)	Creates a new Job instance.
protected void	preRun()	Some more initializations.
protected Properties	storeSetup(weka.core.Instances data, AbstractGeneticAlgorithm.GeneticAlgorithmJob job)	Generates a Properties file that stores information on the setup of the genetic algorithm.

Methods inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

addSecondResult, clearResults, defineOptions, getSecondCrossValidationSeed, getSecondFolds, getSecondResult, getUseSecondEvaluation, initialize, isSecondBetterFitness, secondCrossValidationSeedTipText, secondFoldsTipText, setSecondCrossValidationSeed, setSecondFolds, setSecondNewFitness, setUseSecondEvaluation, useSecondEvaluationTipText

Methods inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

addResult, bitsPerGeneTipText, calcFitness, classifierTipText, classIndexTipText, classLabelIndexTipText, crossValidationSeedTipText, evaluationPostProcessorTipText, foldsTipText, generatorTipText, getBitsPerGene, getClassifier, getClassIndex, getClassLabelIndex, getCrossValidationSeed, getCurrentFitness, getDefaultClassifier, getEvaluationPostProcessor, getFlowContext, getFolds, getGenerator, getInstances, getJobRunnerSetup, getMeasure, getOutputDirectory, getOutputPrefixType, getOutputType, getResult, getSetupUpload, getSuppliedPrefix, getTestInstances, measureTipText, outputDirectoryTipText, outputPrefixTypeTipText, outputTypeTipText, postRun, setBitsPerGene, setClassifier, setClassIndex, setClassLabelIndex, setCrossValidationSeed, setEvaluationPostProcessor, setFlowContext, setFolds, setGenerator, setInstances, setJobRunnerSetup, setMeasure, setOutputDirectory, setOutputPrefixType, setOutputType, setSetupUpload, setSuppliedPrefix, setTestInstances, setupUploadTipText, stopExecution, suppliedPrefixTipText, toString, updateHeader

Methods inherited from class adams.opt.genetic.AbstractGeneticAlgorithm

addFitnessChangeListener, addToFitnessHistory, bestRangeTipText, copyGene, doCrossovers, doMutations, doMutations2, favorZeroesTipText, forCommandLine, forName, getBestRange, getCurrentIteration, getCurrentSetup, getCurrentWeights, getDefaultInitialSetupsProvider, getFavorZeroes, getFitness, getFitnessHistory, getGene, getGeneticAlgorithms, getInitialSetups, getInitialSetupsProvider, getInitialWeights, getMaxFitnessHistorySize, getNotificationInterval, getNumChrom, getNumGenes, getNumThreads, getSeed, getStoppingCriterion, hasMoreZeroes, init, initialSetupsProviderTipText, initialWeightsTipText, isBetterFitness, isPaused, isRunning, isStopped, logChromosomes, maxFitnessHistorySizeTipText, notificationIntervalTipText, notifyFitnessChangeListeners, notifyFitnessChangeListeners, numChromTipText, numThreadsTipText, pauseExecution, removeFitnessChangeListener, reset, resumeExecution, run, runGeneticAlgorithm, seedTipText, setBestRange, setBestRange, setFavorZeroes, setGene, setGene, setInitialSetupsProvider, setInitialWeights, setMaxFitnessHistorySize, setNewFitness, setNotificationInterval, setNumChrom, setNumThreads, setSeed, setStoppingCriterion, shallowCopy, shallowCopy, sort, stoppingCriterionTipText

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.event.GeneticFitnessChangeNotifier

addFitnessChangeListener, removeFitnessChangeListener

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Constructor Detail

DarkLord

public DarkLord()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

getDefaultOutputType

protected OutputType getDefaultOutputType()

Returns the default output type to use.

Specified by:

getDefaultOutputType in class AbstractClassifierBasedGeneticAlgorithm

Returns:

the type

newJob

protected DarkLord.DarkLordJob newJob(int chromosome,
                                      int[] w,
                                      weka.core.Instances data,
                                      weka.core.Instances testData)

Creates a new Job instance.

Specified by:

newJob in class AbstractClassifierBasedGeneticAlgorithm

Parameters:

chromosome - the number of chromosomes

w - the initial weights

data - the data to use

testData - the test data to use, null for cross-validation

Returns:

the instance

storeSetup

protected Properties storeSetup(weka.core.Instances data,
                                AbstractGeneticAlgorithm.GeneticAlgorithmJob job)

Generates a Properties file that stores information on the setup of the genetic algorithm. E.g., it backs up the original relation name. The generated properties file will be used as new relation name for the data.

Overrides:

storeSetup in class AbstractClassifierBasedGeneticAlgorithm

Parameters:

data - the data to create the setup for

job - the associated job

Returns:

the generated setup

See Also:

AbstractClassifierBasedGeneticAlgorithm.PROPS_RELATION

preRun

protected void preRun()

Some more initializations.

Overrides:

preRun in class AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation