com.rapidminer.operator.features.construction
Class YAGGA

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.OperatorChain
          com.rapidminer.operator.features.construction.ExampleSetBasedFeatureOperator
              com.rapidminer.operator.features.construction.AbstractGeneratingGeneticAlgorithm
                  com.rapidminer.operator.features.construction.YAGGA

All Implemented Interfaces:

ConfigurationListener, PreviewListener, ParameterHandler, LoggingHandler

Direct Known Subclasses:

YAGGA2

public class YAGGA
extends AbstractGeneratingGeneticAlgorithm

YAGGA is an acronym for Yet Another Generating Genetic Algorithm. Its approach to generating new attributes differs from the original one. The (generating) mutation can do one of the following things with different probabilities:

• Probability p/4: Add a newly generated attribute to the feature vector
• Probability p/4: Add a randomly chosen original attribute to the feature vector
• Probability p/2: Remove a randomly chosen attribute from the feature vector

Thus it is guaranteed that the length of the feature vector can both grow and shrink. On average it will keep its original length, unless longer or shorter individuals prove to have a better fitness. Since this operator does not contain algorithms to extract features from value series, it is restricted to example sets with only single attributes. For (automatic) feature extraction from values series the value series plugin for RapidMiner written by Ingo Mierswa should be used. It is available at http://rapid-i.com.

Author:

Ingo Mierswa, Simon Fischer

Field Summary

static java.lang.String	PARAMETER_MAX_TOTAL_NUMBER_OF_ATTRIBUTES The parameter name for "Max total number of attributes in all generations (-1: no maximum).
static java.lang.String	PARAMETER_P_MUTATION The parameter name for "Probability for mutation (-1: 1/n).

Fields inherited from class com.rapidminer.operator.features.construction.AbstractGeneratingGeneticAlgorithm

BOLTZMANN_SELECTION, CUT_SELECTION, NON_DOMINATED_SORTING_SELECTION, PARAMETER_CROSSOVER_TYPE, PARAMETER_DYNAMIC_SELECTION_PRESSURE, PARAMETER_GENERATIONS_WITHOUT_IMPROVAL, PARAMETER_KEEP_BEST_INDIVIDUAL, PARAMETER_MAXIMUM_NUMBER_OF_GENERATIONS, PARAMETER_P_CROSSOVER, PARAMETER_P_INITIALIZE, PARAMETER_POPULATION_SIZE, PARAMETER_RECIPROCAL_VALUE, PARAMETER_START_TEMPERATURE, PARAMETER_TOURNAMENT_SIZE, PARAMETER_USE_DIFF, PARAMETER_USE_DIV, PARAMETER_USE_MULT, PARAMETER_USE_PLUS, RANK_SELECTION, ROULETTE_WHEEL, SELECTION_SCHEMES, STOCHASTIC_UNIVERSAL, TOURNAMENT_SELECTION, UNIFORM_SELECTION

Fields inherited from class com.rapidminer.operator.features.construction.ExampleSetBasedFeatureOperator

PARAMETER_LOCAL_RANDOM_SEED, PARAMETER_MAXIMAL_FITNESS, PARAMETER_SHOW_STOP_DIALOG

Constructor Summary

YAGGA(OperatorDescription description)

Method Summary

ExampleSetBasedPopulation	createInitialPopulation(ExampleSet es) Creates a initial population.
protected ExampleSetBasedPopulationOperator	getGeneratingPopulationOperator(ExampleSet exampleSet) Since the mutation of YAGGA also creates new attributes this method returns null.
protected ExampleSetBasedPopulationOperator	getMutationPopulationOperator(ExampleSet eSet) Returns the generating mutation PopulationOperator.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.

Methods inherited from class com.rapidminer.operator.features.construction.AbstractGeneratingGeneticAlgorithm

getCrossoverPopulationOperator, getGenerators, getPostEvaluationPopulationOperators, getPostProcessingPopulationOperators, getPreEvaluationPopulationOperators, getPreProcessingPopulationOperators, solutionGoodEnough

Methods inherited from class com.rapidminer.operator.features.construction.ExampleSetBasedFeatureOperator

apply, evaluate, evaluate, getCheckForMaximum, getInnerOperatorCondition, getInputClasses, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getOutputClasses, getPopulation, getRandom, setCheckForMaximum

Methods inherited from class com.rapidminer.operator.OperatorChain

addAddListener, addOperator, addOperator, checkDeprecations, checkIO, checkNumberOfInnerOperators, checkProperties, clearErrorList, cloneOperator, createExperimentTree, createProcessTree, getAllInnerOperators, getIndexOfOperator, getInnerOperatorForName, getInnerOperatorsXML, getNumberOfAllOperators, getNumberOfOperators, getOperator, getOperatorFromAll, getOperators, performAdditionalChecks, processFinished, processStarts, registerOperator, removeAddListener, removeOperator, shouldAddNonConsumedInput, shouldReturnInnerOutput, unregisterOperator

Methods inherited from class com.rapidminer.operator.Operator

addError, addValue, addWarning, apply, checkForStop, createExperimentTree, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getEncoding, getErrorList, getExperiment, getInput, getInput, getInput, getInputDescription, getIOContainerForInApplyLoopBreakpoint, getIODescription, getLog, getName, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsFile, getParameterAsInputStream, getParameterAsInt, getParameterAsMatrix, getParameterAsString, getParameterList, getParameters, getParameterType, getParent, getProcess, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isEnabled, isExpanded, isParallel, isParameterSet, log, logError, logNote, logWarning, register, remove, rename, resume, setApplyCount, setBreakpoint, setEnabled, setExpanded, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, writeXML

Methods inherited from class java.lang.Object

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

Field Detail

PARAMETER_P_MUTATION

public static final java.lang.String PARAMETER_P_MUTATION

The parameter name for "Probability for mutation (-1: 1/n)."

See Also:

Constant Field Values

PARAMETER_MAX_TOTAL_NUMBER_OF_ATTRIBUTES

public static final java.lang.String PARAMETER_MAX_TOTAL_NUMBER_OF_ATTRIBUTES

The parameter name for "Max total number of attributes in all generations (-1: no maximum)."

See Also:

Constant Field Values

Constructor Detail

YAGGA

public YAGGA(OperatorDescription description)

Method Detail

getGeneratingPopulationOperator

protected ExampleSetBasedPopulationOperator getGeneratingPopulationOperator(ExampleSet exampleSet)

Since the mutation of YAGGA also creates new attributes this method returns null.

Specified by:

getGeneratingPopulationOperator in class AbstractGeneratingGeneticAlgorithm

getMutationPopulationOperator

protected ExampleSetBasedPopulationOperator getMutationPopulationOperator(ExampleSet eSet)
                                                                   throws OperatorException

Returns the generating mutation PopulationOperator.

Specified by:

getMutationPopulationOperator in class AbstractGeneratingGeneticAlgorithm

Throws:

OperatorException

createInitialPopulation

public ExampleSetBasedPopulation createInitialPopulation(ExampleSet es)
                                                  throws UndefinedParameterError

Creates a initial population.

Overrides:

createInitialPopulation in class AbstractGeneratingGeneticAlgorithm

Throws:

UndefinedParameterError

getParameterTypes

public java.util.List<ParameterType> getParameterTypes()

Description copied from class: Operator

Returns a list of ParameterTypes describing the parameters of this operator. The default implementation returns an empty list if no input objects can be retained and special parameters for those input objects which can be prevented from being consumed.

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class AbstractGeneratingGeneticAlgorithm