Package adams.opt.genetic

Class DarkLord.DarkLordJob

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<DarkLord>

adams.opt.genetic.DarkLord.DarkLordJob

All Implemented Interfaces:

CleanUpHandler, LoggingLevelHandler, LoggingSupporter, SizeOfHandler, Stoppable, StoppableWithFeedback, Job, JobWithOwner<DarkLord>, Serializable

Enclosing class:

DarkLord

public static class DarkLord.DarkLordJob
extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<DarkLord>

A job class specific to The Dark Lord.

Version:

$Revision: 4322 $

Author:

dale

See Also:

Serialized Form

Field Summary

Fields inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob

m_SecondFitness, m_SecondFolds, m_SecondSeed, m_UseSecondEvaluation

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
DarkLordJob(DarkLord g, int num, int[] w, weka.core.Instances data, weka.core.Instances testData)	Initializes the job.

Method Summary

Modifier and Type	Method	Description
protected Map<String,Object>	assembleSetup(double fitness, weka.classifiers.Classifier cls, int chromosome, int[] weights)	Assembles the data for the textual setup output.
void	calcNewFitness()	Calculates the new fitness.
String	getMaskAsString()	Returns the "mask" of attributes as range string.
String	getRemoveAsString()	Generates a range string of attributes to keep (= one has to use the inverse matching sense with the Remove filter).

Methods inherited from class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob

getSecondFitness, getSecondFolds, getSecondSeed, getUseSecondEvaluation

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

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

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

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

Constructor Detail

DarkLordJob

public DarkLordJob(DarkLord g,
                   int num,
                   int[] w,
                   weka.core.Instances data,
                   weka.core.Instances testData)

Initializes the job.

Parameters:

g - the algorithm object this job belongs to

num - the number of chromsomes

w - the initial weights

data - the data to use

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

Method Detail

getMaskAsString

public String getMaskAsString()

Returns the "mask" of attributes as range string.

Returns:

the mask

getRemoveAsString

public String getRemoveAsString()

Generates a range string of attributes to keep (= one has to use the inverse matching sense with the Remove filter).

Returns:

the range of attributes to keep

assembleSetup

protected Map<String,Object> assembleSetup(double fitness,
                                                 weka.classifiers.Classifier cls,
                                                 int chromosome,
                                                 int[] weights)

Assembles the data for the textual setup output.

Overrides:

assembleSetup in class AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob<DarkLord>

Parameters:

fitness - the current fitness

cls - the current classifier

chromosome - the chromosome responsible

weights - the current weights

Returns:

the data

calcNewFitness

public void calcNewFitness()

Calculates the new fitness.

Specified by:

calcNewFitness in class AbstractGeneticAlgorithm.GeneticAlgorithmJob<DarkLord>