Package adams.opt.genetic

Class AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<T extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation>

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.multiprocess.AbstractJob

adams.opt.genetic.AbstractGeneticAlgorithm.GeneticAlgorithmJob<T>

adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob<T>

adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<T>

All Implemented Interfaces:

adams.core.CleanUpHandler, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.SizeOfHandler, adams.core.Stoppable, adams.core.StoppableWithFeedback, adams.multiprocess.Job, adams.multiprocess.JobWithOwner<T>, Serializable

Direct Known Subclasses:

DarkLord.DarkLordJob, Hermione.HermioneJob

Enclosing class:

AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

public abstract static class AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<T extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation>
extends AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob<T>

Job class for algorithms with datasets.

Version:

$Revision: 4322 $

Author:

dale

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected Double	m_SecondFitness	the current fitness (second evaluation).
protected int	m_SecondFolds	the cross-validation folds (second evaluation).
protected int	m_SecondSeed	the cross-validation seed (second evaluation).
protected boolean	m_UseSecondEvaluation	whether to use second evaluation.

Fields inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

m_ClassLabelIndex, m_Data, m_Folds, m_Measure, m_Seed, m_TestData

Fields inherited from class adams.opt.genetic.AbstractGeneticAlgorithm.GeneticAlgorithmJob

m_Chromosome, m_Fitness, m_Genetic, m_Weights

Fields inherited from class adams.multiprocess.AbstractJob

m_Complete, m_ExecutionError, m_JobCompleteListener, m_JobInfo, m_ProgressInfo, m_Stopped

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob(T g, int chromosome, int[] w, weka.core.Instances data, weka.core.Instances testData)	Initializes the job.

Method Summary

Modifier and Type	Method	Description
Double	getSecondFitness()	Returns the fitness (second evaluation).
int	getSecondFolds()	Returns the number of cross-validation folds (second evaluation).
int	getSecondSeed()	Returns the cross-validation seed (second evaluation).
boolean	getUseSecondEvaluation()	Returns the whether to use second evaluation.

Methods inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

assembleSetup, createFileName, evaluateClassifier, evaluateClassifier, generateOutput, getFolds, getInstances, getMeasure, getSeed, getTestInstances, outputDataset, outputSetup, postProcess, preProcessCheck

Methods inherited from class adams.opt.genetic.AbstractGeneticAlgorithm.GeneticAlgorithmJob

calcNewFitness, cleanUp, getChromosome, getFitness, getOwner, getWeights, postProcessCheck, process, toString, weightsToString, weightsToString

Methods inherited from class adams.multiprocess.AbstractJob

execute, getAdditionalErrorInformation, getExecutionError, getJobCompleteListener, getJobInfo, getProgressInfo, hasExecutionError, isComplete, isStopped, jobCompleted, setJobCompleteListener, setJobInfo, setProgressInfo, stopExecution

Methods inherited from class adams.core.logging.CustomLoggingLevelObject

setLoggingLevel

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.multiprocess.Job

execute, getExecutionError, getJobCompleteListener, getJobInfo, hasExecutionError, isComplete, jobCompleted, setJobCompleteListener

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Methods inherited from interface adams.core.logging.LoggingSupporter

getLogger, isLoggingEnabled

Methods inherited from interface adams.core.Stoppable

stopExecution

Methods inherited from interface adams.core.StoppableWithFeedback

isStopped

Field Detail

m_UseSecondEvaluation

protected boolean m_UseSecondEvaluation

whether to use second evaluation.

m_SecondFitness

protected Double m_SecondFitness

the current fitness (second evaluation).

m_SecondSeed

protected int m_SecondSeed

the cross-validation seed (second evaluation).

m_SecondFolds

protected int m_SecondFolds

the cross-validation folds (second evaluation).

Constructor Detail

ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob

public ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob(T g,
                                                              int chromosome,
                                                              int[] w,
                                                              weka.core.Instances data,
                                                              weka.core.Instances testData)

Initializes the job.

Parameters:

g - the algorithm object this job belongs to

chromosome - the chromsome index

w - the initial weights

data - the data to use

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

Method Detail

getUseSecondEvaluation

public boolean getUseSecondEvaluation()

Returns the whether to use second evaluation.

Returns:

true if to use second evaluation

getSecondSeed

public int getSecondSeed()

Returns the cross-validation seed (second evaluation).

Returns:

the seed

getSecondFolds

public int getSecondFolds()

Returns the number of cross-validation folds (second evaluation).

Returns:

the number of folds

getSecondFitness

public Double getSecondFitness()

Returns the fitness (second evaluation).

Returns:

the fitness