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A
add(GeneNode<T>)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
add a child to the node (up to a maximum of 2)
addAll(Population)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Appends all of the given individuals in the ArrayList to this population.
arity(String)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Function
An integer denoting the arity of the given function
B
batchFinished()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
C
calculateFitness(EnumFitnessEvaluationMethod, Instances, Classifier)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Calculates this population's fitness using the specified Classifier and fitness evaluation method.
calculateNsgaii()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Calculates NSGA-II fronts for this population and updates genomes with domination rank and crowding distance
Clear()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Clears the genome of all its properties
compareTo(Genome<T>)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Implements comparison method from 'Comparable'.
crossOver(Random, Genome<Gene>, Genome<Gene>)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneticOperator
Crossover between two Genomes
crossOverPoint
- Variable in class weka.filters.supervised.attribute.gpattributegeneration.
GeneticCrossoverParam
The point at which to perform crossover.
crowdedTournament(Random, Population)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Selection
Performs tournament selection on the given population list using domination rank and crowding distance values (NSGAII)
E
elitist(Population, int, EnumSortingCriteria)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Selection
Performs elitist selection on the given population.
EnumFitnessEvaluationMethod
- Enum in
weka.filters.supervised.attribute.gpattributegeneration
Enums for different fitness evaluation methods
EnumGenerationMethod
- Enum in
weka.filters.supervised.attribute.gpattributegeneration
Enumeration of population generation methods
EnumGeneType
- Enum in
weka.filters.supervised.attribute.gpattributegeneration
Enumeration of Node Types
EnumSelectionMethod
- Enum in
weka.filters.supervised.attribute.gpattributegeneration
Enums for Selection Method
EnumSortingCriteria
- Enum in
weka.filters.supervised.attribute.gpattributegeneration
Stores different sorting criteria
Epoch
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Provides methods that control the running of an epoch.
Epoch()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Epoch
equals(Object)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Equates this genome with the given parameter genome.
evaluate(String, Instance)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
RPNCalculator
Evaluates a postfix expression.
F
fitnessEvaluationMethodTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Fitness evaluation method help text
Function
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Class to contain list of supported functions and their properties (such as arity)
Function()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Function
functionsTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
G
Gene
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Stores a gene node Ported from C#.
Gene()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Gene
An empty Gene
Gene(String, EnumGeneType)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Gene
A gene with the given value
GeneNode
<
T
> - Class in
weka.filters.supervised.attribute.gpattributegeneration
Node type for Genes.
GeneNode()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Creates an empty node
GeneNode(T)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Creates a gene node with the given data
GeneNode(T, GeneNode<T>, GeneNode<T>)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Creates a gene node
GeneNodeList
<
T
> - Class in
weka.filters.supervised.attribute.gpattributegeneration
Extends ArrayList to make a GeneNodeList so it's easier to use GP nodes
GeneNodeList()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneNodeList
GeneNodeList(int)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneNodeList
generateValue(Random, ArrayList<String>, int[])
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Generate a random value for the Gene.
generateValue(Random, EnumGeneType, ArrayList<String>, int[])
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Generate a random value for the gene of the specified type
generateValue(Random, EnumGeneType, ArrayList<String>, int, int[])
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Generate a random value for the gene of the specified type taking into account the arity desired
GeneticCrossoverParam
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Provides a 'struct' to store control variables for Genetic crossover
GeneticCrossoverParam(boolean, int)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneticCrossoverParam
Initialise the struct
GeneticOperator
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Class to provide genetic operators.
GeneticOperator()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GeneticOperator
Genome
<
T
> - Class in
weka.filters.supervised.attribute.gpattributegeneration
An individual genome for the GP system, made up of nodes.
Genome()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Creates an empty Genome
Genome(Genome<T>)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Constructor to allow for a deep copy of a genome.
Genome(GeneNode<Gene>)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Constructs a Genome given a genotype
Genome(String)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Create a genome from a PREFIX string, with nodes separated by a space
Genome(Random, EnumGenerationMethod, int, ArrayList<String>, int[])
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Constructor to generate a random genome given the relevant parameters.
get(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Returns the genome in the population at that index.
getBinaryFuncSet(ArrayList<String>)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Function
Generates and returns a binary ArrayList from a complete array list
getCapabilities()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
getChildren()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Returns the children of the genome's root node
getChildren()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Node
Returns the children
getCrowdingDistance()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Gets crowding distance of the genome
getDominationRank()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Returns the domination rank of the genome
getElapsed()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Gets time elapsed since the timer was started in milliseconds.
getElapsedSeconds()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Gets time elapsed since the timer was started, in seconds.
getElapsedSinceSplit()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Gets time elapsed since the timer's split function was used in milliseconds.
getElapsedSinceSplitSeconds()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Gets time elapsed since the timer's split function was used, in seconds.
getFitnessEvaluationMethod()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
getFittestIndividuals()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return the fittest individuals (as a string) in an ArrayList
getFunctions()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getGenotype()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Returns genotype
getLeft()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Get Left child
getLength()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
returns the length of the genome
getMaxDepth()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getMaxLength()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Max length of the genomes in the population
getMaxTime()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getMaxTreeAccuracy()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return the tree accuracy of the best individual(s) in the population.
getMaxTreeSize()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return max tree size
getMaxVectorFitness()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return max tree size
getMinLength()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Min length of the genomes in the population
getMinTreeAccuracy()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return the tree accuracy of the worst individual(s) in the population.
getMinTreeSize()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return min tree size
getMinVectorFitness()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return min tree size
getNonDomFronts()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
NSGAII
Return the non dominated fronts
getNonDomFronts()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Return the non dominated fronts (calculateNsgaii() must have been run beforehand)
getNumberOfGenerations()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getOperatorProportion()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getOptions()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Gets the options currently set for the class
getParent()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Gets the node's parent
getPopulationGenerationMethod()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getPopulationSize()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getRight()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Get Right child
getSeed()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Get the seed
getSelectedIndividuals()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPSystem
Returns the selected individuals from the population.
getSelectionMethod()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
getTargetTreeAccuracy()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the property
getTotalTime()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
getTotalTimeSeconds()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
getTreeAccuracy()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Returns the tree accuracy of the genome.
getTreeSize()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Get the tree size of the genome
getType()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Returns the type of the gene
getUnaryFuncSet(ArrayList<String>)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Function
Generates and returns a unary ArrayList from a complete array list
getValue()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Returns the Gene's value
getValue()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Node
Returns the value of the node
getVectorFitness()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Calculate Vector fitness (1 is highest; but will never reach this).
globalInfo()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
GPAttributeGeneration
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Implementation of a genetic programming system in the WEKA input space
GPAttributeGeneration()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
GPSystem
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Starts a complete run of the GP system
GPSystem(Instances, int, int, int, double, ArrayList<String>, int, double[], EnumGenerationMethod, Random, EnumFitnessEvaluationMethod, EnumSelectionMethod, Classifier, long)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
GPSystem
Constructor to pass in data and variables for the GP system
H
hashCode()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Calculates a hashcode for Genome for use in HashMap
HELP_ALL_FUNCTIONS
- Static variable in class weka.filters.supervised.attribute.gpattributegeneration.
Function
I
isUnary(String)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Function
Checks whether the function is unary or binary
isValid(String)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Function
Checks the function is on the allowed list of functions.
L
listOptions()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
M
main(String[])
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Main method
maxDepthTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
maxTimeTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
N
Node
<
T
> - Class in
weka.filters.supervised.attribute.gpattributegeneration
Defines a node and its children (if the node is a function) Ported from Luke Devonshire's C# project
Node()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Node
Creates an empty node
Node(T)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Node
Creates a node with the given data
Node(T, GeneNodeList<T>)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Node
Creates a node with the given data and children
NSGAII
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Class to provide NSGA-II features and methods.
NSGAII(Population)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
NSGAII
Instantiate a new NSGAII class with the specified population.
numberOfGenerationsTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
O
operatorProportionTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
P
pointMutation(Random, Genome<Gene>, ArrayList<String>, int[])
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneticOperator
Performs random number of point mutations on a genome
Population
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Population class to store a list of individuals in an ArrayList as well as other fields
Population()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Population
Create an empty population
Population(Population)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Population
Clones the given population in the process creating a new one.
Population(ArrayList<Genome<Gene>>)
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Population
Copy (SHALLOW) the given ArrayList into a new population
Population(EnumGenerationMethod, Random, ArrayList<String>, int, int, int[])
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Population
Generates a population with the specified generation method and size, using the specified Random object and funcSet.
populationGenerationMethodTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI
populationSizeTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
R
removeRange(int, int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Removes from the population all of the elements whose index is between fromIndex, inclusive, and toIndex, exclusive.
RPNCalculator
- Class in
weka.filters.supervised.attribute.gpattributegeneration
A calculator for postfix expressions.
RPNCalculator()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
RPNCalculator
run()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPSystem
Runs the GP System using the previously specified data
runEpoch(Population, EnumFitnessEvaluationMethod, Instances, double[], Random, ArrayList<String>, EnumSelectionMethod, Classifier, int[])
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Epoch
Runs an epoch.
S
seedTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Seed tip text for the GUI
Selection
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Class contains methods for helping with selection.
Selection()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Selection
selectionMethodTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
selection method tip text
setChildren(GeneNodeList<T>)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Node
Sets the children
setCrowdingDistance(double)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Sets the crowding distance
setDominationRank(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Sets the domination rank of the genome
setFitnessEvaluationMethod(SelectedTag)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
setFunctions(String)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Sets the property
setGenotype(GeneNode<Gene>)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Sets genotype of genome and re-populates children to make it correct
setMaxDepth(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Sets the property
setMaxTime(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Checks whether supplied value is valid and updates maxTime if it is; throws exception if not
setNumberOfGenerations(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Checks whether supplied value is valid and updates maxNumGenerations if it is; throws exception if not
setOperatorProportion(String)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Sets the property
setOptions(String[])
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Sets the options via the command line
setParent(GeneNode<T>)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Set the parent
setPopulationGenerationMethod(SelectedTag)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Sets the property
setPopulationSize(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Checks whether supplied value is valid and updates popSize if it is; throws exception if not
setSeed(long)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Set the seed value for the random number generator
setSelectionMethod(SelectedTag)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
setTargetTreeAccuracy(double)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Checks whether supplied value is valid and updates targetTreeAccuracy if it is; throws exception if not
setTreeAccuracy(double)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Sets tree accuracy.
setTreeSize(int)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
Set the tree size of the genome
setType(EnumGeneType)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Sets whether the node is a terminal or function
setValue(T)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Node
Set the value of the node
size()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Returns the size of the population
sort(EnumSortingCriteria)
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Population
Sorts the elements of the population list by the specified sorting criteria.
startSplit()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Starts a split timer
stop()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Stops the timer
success
- Variable in class weka.filters.supervised.attribute.gpattributegeneration.
GeneticCrossoverParam
Denotes whether the crossover has been successful yet.
T
targetTreeAccuracyTipText()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPAttributeGeneration
Returns the help text for the GUI.
Timer
- Class in
weka.filters.supervised.attribute.gpattributegeneration
Timer class to replicate some of the C# Stopwatch functionality
Timer()
- Constructor for class weka.filters.supervised.attribute.gpattributegeneration.
Timer
Starts the timer
toString()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Gene
Returns the string representation of the gene
toString()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GeneNode
Converts node to a string
toString()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
Genome
A string representation of the genome
toString()
- Method in class weka.filters.supervised.attribute.gpattributegeneration.
GPSystem
Outputs the results of a GP System run
tournament(Random, Population)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Selection
Performs tournament selection on the given population list using fitness values
V
valueOf(String)
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumFitnessEvaluationMethod
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumGenerationMethod
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumGeneType
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumSelectionMethod
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumSortingCriteria
Returns the enum constant of this type with the specified name.
values()
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumFitnessEvaluationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values()
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumGenerationMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values()
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumGeneType
Returns an array containing the constants of this enum type, in the order they are declared.
values()
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumSelectionMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values()
- Static method in enum weka.filters.supervised.attribute.gpattributegeneration.
EnumSortingCriteria
Returns an array containing the constants of this enum type, in the order they are declared.
vectorTournament(Random, Population)
- Static method in class weka.filters.supervised.attribute.gpattributegeneration.
Selection
Performs tournament selection on the given population list using vector fitness values
W
weka.filters.supervised.attribute.gpattributegeneration
- package weka.filters.supervised.attribute.gpattributegeneration
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