A B C E F G H I L M N O P R S T V W

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
 

A B C E F G H I L M N O P R S T V W