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

A

activate(Instance) - Method in class weka.classifiers.neural.common.SimpleNeuron
 
activate(double[]) - Method in class weka.classifiers.neural.common.SimpleNeuron
 
add(LinkedList<Cell>) - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
add(Cell) - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
addEpochEventListener(EpochEventListener) - Method in class weka.classifiers.neural.lvq.algorithm.CommonAncestor
 
addEpochEventListener(EpochEventListener) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
affinityComparator - Static variable in class weka.classifiers.immune.airs.algorithm.CellPool
 
AffinityFunction - Class in weka.classifiers.immune.airs.algorithm
Type: AffinityFunction File: AffinityFunction.java Date: 30/12/2004 Description:
AffinityFunction(Instances) - Constructor for class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityNormalised(double[], double[]) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityNormalised(Instance, Instance) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityNormalised(Instance, Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityNormalised(double[], Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityNormalised(Cell, Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityResponseNormalised(Instance, AffinityFunction) - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
affinityResponseUnnormalised(Instance, AffinityFunction) - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
affinityThresholdScalarTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
affinityThresholdScalarTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
affinityThresholdScalarTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
affinityUnnormalised(double[], double[]) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityUnnormalised(Instance, Instance) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityUnnormalised(Instance, Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityUnnormalised(double[], Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
affinityUnnormalised(Cell, Cell) - Method in class weka.classifiers.immune.airs.algorithm.AffinityFunction
 
AIRS1 - Class in weka.classifiers.immune.airs
Type: AIRS1 File: AIRS1.java Date: 30/12/2004 Description:
AIRS1() - Constructor for class weka.classifiers.immune.airs.AIRS1
 
AIRS1Test - Class in weka.classifiers.immune.airs
Type: AIRS1Test Date: 6/01/2005
AIRS1Test() - Constructor for class weka.classifiers.immune.airs.AIRS1Test
 
AIRS1Trainer - Class in weka.classifiers.immune.airs.algorithm
Type: AIRS1Trainer File: AIRS1Trainer.java Date: 30/12/2004 Description:
AIRS1Trainer(double, double, double, double, double, double, int, Random, int, int, int) - Constructor for class weka.classifiers.immune.airs.algorithm.AIRS1Trainer
 
AIRS2 - Class in weka.classifiers.immune.airs
Type: AIRS1 File: AIRS1.java Date: 07/01/2005 Description:
AIRS2() - Constructor for class weka.classifiers.immune.airs.AIRS2
 
AIRS2Parallel - Class in weka.classifiers.immune.airs
Type: AIRS1 File: AIRS1.java Date: 07/01/2005 Description:
AIRS2Parallel() - Constructor for class weka.classifiers.immune.airs.AIRS2Parallel
 
AIRS2ParallelTest - Class in weka.classifiers.immune.airs
Type: AIRS1Test Date: 6/01/2005
AIRS2ParallelTest() - Constructor for class weka.classifiers.immune.airs.AIRS2ParallelTest
 
AIRS2ParallelTrainer - Class in weka.classifiers.immune.airs.algorithm
Type: AIRS2ParallelTrainer
File: AIRS2ParallelTrainer.java
Date: 8/01/2005

Description:
AIRS2ParallelTrainer(double, double, double, double, double, int, Random, int, int, int, AIRS2ParallelTrainer.MERGE_MODE) - Constructor for class weka.classifiers.immune.airs.algorithm.AIRS2ParallelTrainer
 
AIRS2ParallelTrainer.MERGE_MODE - Enum in weka.classifiers.immune.airs.algorithm
 
AIRS2Test - Class in weka.classifiers.immune.airs
Type: AIRS1Test Date: 6/01/2005
AIRS2Test() - Constructor for class weka.classifiers.immune.airs.AIRS2Test
 
AIRS2Trainer - Class in weka.classifiers.immune.airs.algorithm
Type: AIRS1Trainer File: AIRS1Trainer.java Date: 30/12/2004 Description:
AIRS2Trainer(double, double, double, double, double, int, Random, int, int) - Constructor for class weka.classifiers.immune.airs.algorithm.AIRS2Trainer
 
AIRSAlgorithmTester - Class in weka.classifiers.immune.airs
Type: AIRSAlgorithmTester
File: AIRSAlgorithmTester.java
Date: 15/01/2005

Description:
AIRSAlgorithmTester() - Constructor for class weka.classifiers.immune.airs.AIRSAlgorithmTester
 
AIRSParameterDocumentation - Interface in weka.classifiers.immune.airs
Type: AIRSParameterDocumentation
File: AIRSParameterDocumentation.java
Date: 15/01/2005

Description:
AISModelClassifier - Class in weka.classifiers.immune.airs.algorithm
Type: AISModelClassifier File: AISModelClassifier.java Date: 30/12/2004 Description:
AISModelClassifier(int, Normalize, CellPool, AffinityFunction) - Constructor for class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
AISTrainer - Interface in weka.classifiers.immune.airs.algorithm
Type: AISTrainer
Date: 7/01/2005

Description:
AlgorithmAncestor - Class in weka.classifiers.neural.lvq
Date: 25/05/2004 File: AlgorithmAncestor.java
AlgorithmAncestor() - Constructor for class weka.classifiers.neural.lvq.AlgorithmAncestor
 
algorithmPreperation(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AIRS1Trainer
 
algorithmPreperation(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AIRS2Trainer
 
Antibody - Class in weka.classifiers.immune.clonalg
Type: Antibody
Date: 19/01/2005

Description:
Antibody(double[], int) - Constructor for class weka.classifiers.immune.clonalg.Antibody
 
Antibody(Instance) - Constructor for class weka.classifiers.immune.clonalg.Antibody
 
Antibody(Antibody) - Constructor for class weka.classifiers.immune.clonalg.Antibody
 
Antibody - Class in weka.classifiers.immune.immunos
Type: Antibody
Date: 19/01/2005

Description:
Antibody(double[], int) - Constructor for class weka.classifiers.immune.immunos.Antibody
 
Antibody(Instance) - Constructor for class weka.classifiers.immune.immunos.Antibody
 
Antibody(Antibody) - Constructor for class weka.classifiers.immune.immunos.Antibody
 
antibodyPoolSizeTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
applyLearningRateToAllVectors(double) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
applyWeightDeltas(double) - Method in interface weka.classifiers.neural.common.BatchTrainableNeuralModel
 
applyWeightDeltas(double) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
arbInitialPoolSizeTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
arrayToString(double[]) - Static method in class weka.classifiers.immune.immunos.ImmunosTest
 
AttributeDistance - Interface in weka.classifiers.immune.affinity
Type: AttributeAffinity File: AttributeAffinity.java Date: 30/12/2004 Description:
AttributeDistance - Interface in weka.classifiers.neural.lvq.vectordistance
Description: Common interface used to calculate an attributes distance.

B

BackPropagation - Class in weka.classifiers.neural.multilayerperceptron
Title: Weka Neural Implementation
BackPropagation() - Constructor for class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
BackPropagationAlgorithm - Class in weka.classifiers.neural.multilayerperceptron.algorithm
Date: 31/05/2004 File: BackPropagationAlgorithm.java
BackPropagationAlgorithm(TransferFunction, RandomWrapper, LearningRateKernel, double, double, double, int[], Instances) - Constructor for class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
baseLVQAlgorithmTipText() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
batchFinished() - Method in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
Signify that this batch of input to the filter is finished.
BatchTrainableNeuralModel - Interface in weka.classifiers.neural.common
Title: Weka Neural Implementation
BatchTrainer - Class in weka.classifiers.neural.common.training
Title: Weka Neural Implementation
BatchTrainer(RandomWrapper) - Constructor for class weka.classifiers.neural.common.training.BatchTrainer
 
biasInputTipText() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
BoldDriverBackPropagation - Class in weka.classifiers.neural.multilayerperceptron
Title: Weka Neural Implementation
BoldDriverBackPropagation() - Constructor for class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
BoldDriverBackPropagationAlgorithm - Class in weka.classifiers.neural.multilayerperceptron.algorithm
Date: 31/05/2004 File: BoldDriverBackPropagationAlgorithm.java Adaptive learning rate algorithm, Bold Driver (Voglís Method)
BoldDriverBackPropagationAlgorithm(TransferFunction, RandomWrapper, LearningRateKernel, double, double, double, int[], Instances, double, double) - Constructor for class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm
 
BubbleNeighbourhood - Class in weka.classifiers.neural.lvq.neighborhood
Date: 25/05/2004 File: BubbleNeighbourhood.java
BubbleNeighbourhood(double, int) - Constructor for class weka.classifiers.neural.lvq.neighborhood.BubbleNeighbourhood
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.airs.AIRS1
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.airs.AIRS2
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.clonalg.CSCA
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.immunos.Immunos1
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.immunos.Immunos2
 
buildClassifier(Instances) - Method in class weka.classifiers.immune.immunos.Immunos99
 
buildClassifier(Instances) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
buildClassifier(Instances) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
Build a model of the provided training dataset using the specific LVQ algorithm implementation.
buildClassifier(Instances) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
Build a model of the provided training dataset using the specific LVQ algorithm implementation.
buildClassifier(Instances) - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
buildClassifier(Instances) - Method in class weka.classifiers.neural.lvq.MultipassSom
 

C

calculateAffinityThreshold(Instances, int, Random, AffinityFunction) - Static method in class weka.classifiers.immune.airs.algorithm.Utils
 
calculateCodebookClassDistribution() - Method in class weka.classifiers.neural.lvq.model.CommonModel
Calculates the codebook vector class distributeion - that is the distribution of classes that codebook vectors are currently assigned to
calculateDistance(AttributeDistance[], double[], double[], double) - Static method in class weka.classifiers.neural.lvq.vectordistance.DistanceFactory
Calculates the distances between the provided vectors, using the distance measures provided.
calculateFitness() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
calculateFitness() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
calculateNeighbourhoodAdjustedLearningRate(double, double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.BubbleNeighbourhood
 
calculateNeighbourhoodAdjustedLearningRate(double, double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.GaussianNeighbourhood
 
calculateNeighbourhoodAdjustedLearningRate(double, double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernel
 
calculateNeighbourhoodDistance(CodebookVector, CodebookVector) - Method in class weka.classifiers.neural.lvq.model.SomModel
 
calculateQuantisationError(Instances) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
calculateQuantisationError(Instances) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
calculateWeightErrors(Instance, double) - Method in interface weka.classifiers.neural.common.BatchTrainableNeuralModel
 
calculateWeightErrors(Instance, double) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
canSwitchClass() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
canSwitchClass() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
Cell - Class in weka.classifiers.immune.airs.algorithm
Type: Cell File: Cell.java Date: 30/12/2004 Description:
Cell(double[], int) - Constructor for class weka.classifiers.immune.airs.algorithm.Cell
 
Cell(Instance) - Constructor for class weka.classifiers.immune.airs.algorithm.Cell
 
Cell(Cell) - Constructor for class weka.classifiers.immune.airs.algorithm.Cell
 
CellPool - Class in weka.classifiers.immune.airs.algorithm
Type: AISModel File: AISModel.java Date: 30/12/2004 Description:
CellPool(LinkedList<Cell>) - Constructor for class weka.classifiers.immune.airs.algorithm.CellPool
 
CellPool.AffinityComparator - Class in weka.classifiers.immune.airs.algorithm
 
CellPool.AffinityComparator() - Constructor for class weka.classifiers.immune.airs.algorithm.CellPool.AffinityComparator
 
CellPool.ResourceComparator - Class in weka.classifiers.immune.airs.algorithm
 
CellPool.ResourceComparator() - Constructor for class weka.classifiers.immune.airs.algorithm.CellPool.ResourceComparator
 
CellPool.StimulationComparator - Class in weka.classifiers.immune.airs.algorithm
 
CellPool.StimulationComparator() - Constructor for class weka.classifiers.immune.airs.algorithm.CellPool.StimulationComparator
 
ClassAttributeDistance - Class in weka.classifiers.immune.affinity
Type: ClassAttributeDistance File: ClassAttributeDistance.java Date: 30/12/2004 Description:
ClassAttributeDistance() - Constructor for class weka.classifiers.immune.affinity.ClassAttributeDistance
 
ClassDistance - Class in weka.classifiers.neural.lvq.vectordistance
Description: Calculates the distance between two class attributes.
ClassDistance() - Constructor for class weka.classifiers.neural.lvq.vectordistance.ClassDistance
 
classify(Instance) - Method in class weka.classifiers.immune.clonalg.CLONALGAlgorithm
 
classify(Instance) - Method in class weka.classifiers.immune.clonalg.CSCAAlgorithm
 
classify(Instance) - Method in class weka.classifiers.immune.immunos.Immunos1Algorithm
 
classify(Instance) - Method in class weka.classifiers.immune.immunos.Immunos99Algorithm
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.airs.AIRS1
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.airs.AIRS2
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.clonalg.CSCA
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.immunos.Immunos1
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.immunos.Immunos2
 
classifyInstance(Instance) - Method in class weka.classifiers.immune.immunos.Immunos99
 
classifyInstance(Instance) - Method in class weka.classifiers.neural.lvq.model.CommonModel
Classifies the provided data instance
clearBmuCounts() - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
clearClassCounts() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
clearClassCounts() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
clearClassDistributions() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
clearClassDistributions() - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
clonalFactorTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
CLONALG - Class in weka.classifiers.immune.clonalg
Type: CLONALG
Date: 19/01/2005

Description:
CLONALG() - Constructor for class weka.classifiers.immune.clonalg.CLONALG
 
CLONALGAlgorithm - Class in weka.classifiers.immune.clonalg
Type: CLONALGAlgorithm
Date: 19/01/2005

Description:
CLONALGAlgorithm(double, int, int, int, int, long, double) - Constructor for class weka.classifiers.immune.clonalg.CLONALGAlgorithm
 
CLONALGTest - Class in weka.classifiers.immune.clonalg
Type: CLONALGTest
Date: 19/01/2005

Description:
CLONALGTest() - Constructor for class weka.classifiers.immune.clonalg.CLONALGTest
 
clonalRateTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
clonalRateTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
clonalRateTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
clonalScaleFactorTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
ClusterAlgorithmInitialiser - Class in weka.classifiers.neural.lvq.initialise
Date: 26/05/2004 File: CommonClusterAlgorithmInitialiser.java
ClusterAlgorithmInitialiser(RandomWrapper, Instances, int) - Constructor for class weka.classifiers.neural.lvq.initialise.ClusterAlgorithmInitialiser
 
CodebookVector - Class in weka.classifiers.neural.lvq.model
Description: Represents a single codebook vector in an LVQ model A codebook vector is also called a prototype or an exemplar.
CodebookVector(int) - Constructor for class weka.classifiers.neural.lvq.model.CodebookVector
 
CommonAncestor - Class in weka.classifiers.neural.lvq.algorithm
Date: 25/05/2004 File: CommonAncestor.java
CommonAncestor(LearningRateKernel, CommonModel, RandomWrapper, boolean) - Constructor for class weka.classifiers.neural.lvq.algorithm.CommonAncestor
 
CommonInitialiser - Class in weka.classifiers.neural.lvq.initialise
Date: 25/05/2004 File: CommonRandomInitialiser.java
CommonInitialiser(RandomWrapper, Instances) - Constructor for class weka.classifiers.neural.lvq.initialise.CommonInitialiser
 
CommonModel - Class in weka.classifiers.neural.lvq.model
Date: 25/05/2004 File: CommonModel.java
CommonModel(int) - Constructor for class weka.classifiers.neural.lvq.model.CommonModel
 
CommonNeuralAlgorithmAncestor - Class in weka.classifiers.neural.common
Date: 31/05/2004 File: CommonNeuralAlgorithmAncestor.java
CommonNeuralAlgorithmAncestor(TransferFunction, RandomWrapper) - Constructor for class weka.classifiers.neural.common.CommonNeuralAlgorithmAncestor
 
compare(Cell, Cell) - Method in class weka.classifiers.immune.airs.algorithm.CellPool.AffinityComparator
Compare cells based on affinity.
compare(Cell, Cell) - Method in class weka.classifiers.immune.airs.algorithm.CellPool.ResourceComparator
Compare cells based on numResources.
compare(Cell, Cell) - Method in class weka.classifiers.immune.airs.algorithm.CellPool.StimulationComparator
Compare cells based on stimulation.
compareTo(Antibody) - Method in class weka.classifiers.immune.clonalg.Antibody
Compares this object with the specified object for order.
compareTo(Antibody) - Method in class weka.classifiers.immune.immunos.Antibody
Compares this object with the specified object for order.
ConcatenateMerge - Class in weka.classifiers.immune.airs.algorithm.merge
Type: ConcatonateMerge
File: ConcatonateMerge.java
Date: 8/01/2005

Description:
ConcatenateMerge() - Constructor for class weka.classifiers.immune.airs.algorithm.merge.ConcatenateMerge
 
Constants - Interface in weka.classifiers.neural.common
Date: 25/05/2004 File: LvqConstants.java
CSCA - Class in weka.classifiers.immune.clonalg
Type: CLONALG
Date: 19/01/2005

Description:
CSCA() - Constructor for class weka.classifiers.immune.clonalg.CSCA
 
CSCAAlgorithm - Class in weka.classifiers.immune.clonalg
Type: CLONALGAlgorithm
Date: 19/01/2005

Description:
CSCAAlgorithm(int, int, long, double, double, int, int, boolean) - Constructor for class weka.classifiers.immune.clonalg.CSCAAlgorithm
 
CSCAAntibody - Class in weka.classifiers.immune.clonalg
Type: CSCAAntibody
File: CSCAAntibody.java
Date: 23/01/2005

Description:
CSCAAntibody(double[], int, int) - Constructor for class weka.classifiers.immune.clonalg.CSCAAntibody
 
CSCAAntibody(Instance) - Constructor for class weka.classifiers.immune.clonalg.CSCAAntibody
 
CSCAAntibody(CSCAAntibody) - Constructor for class weka.classifiers.immune.clonalg.CSCAAntibody
 
CSCATest - Class in weka.classifiers.immune.clonalg
Type: CLONALGTest
Date: 19/01/2005

Description:
CSCATest() - Constructor for class weka.classifiers.immune.clonalg.CSCATest
 
currentLearningRate(int) - Method in class weka.classifiers.neural.common.learning.InverseLearningRate
 
currentLearningRate(int) - Method in class weka.classifiers.neural.common.learning.LearningRateKernel
 
currentLearningRate(int) - Method in class weka.classifiers.neural.common.learning.LinearLearningRate
 
currentLearningRate(int) - Method in class weka.classifiers.neural.common.learning.StaticLearningRate
 
currentNeighborhoodSize(int) - Method in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernel
 

D

DEFAULT_BIAS_VALUE - Static variable in class weka.classifiers.neural.common.SimpleNeuron
 
delete(Cell) - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
derivative(double, double) - Method in class weka.classifiers.neural.common.transfer.TransferFunction
 
DESCRIPTION - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
DESCRIPTION - Static variable in class weka.classifiers.neural.common.training.TrainerFactory
 
DESCRIPTION - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
DESCRIPTION - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
DESCRIPTION - Static variable in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
DESCRIPTION - Static variable in class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
DESCRIPTION_CODEBOOK_VECTORS - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_EPSILON - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_INITIALISATION - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_LEARNING_FUNCTION - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_LEARNING_RATE - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_RANDOM_SEED - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_TRAINING_ITERATIONS - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_USE_VOTING - Static variable in interface weka.classifiers.neural.common.Constants
 
DESCRIPTION_WINDOW_SIZE - Static variable in interface weka.classifiers.neural.common.Constants
 
distance(double, double) - Method in interface weka.classifiers.immune.affinity.AttributeDistance
 
distance(double, double) - Method in class weka.classifiers.immune.affinity.ClassAttributeDistance
 
distance(double, double) - Method in class weka.classifiers.immune.affinity.NominalAttributeDistance
 
distance(double, double) - Method in class weka.classifiers.immune.affinity.NumericAttributeDistance
 
distance(double, double) - Method in class weka.classifiers.immune.affinity.UnsupportedAttributeDistance
 
distance(double, double) - Method in interface weka.classifiers.neural.lvq.vectordistance.AttributeDistance
Distance between attribute values, lower the distnace the closer the values
distance(double, double) - Method in class weka.classifiers.neural.lvq.vectordistance.ClassDistance
Distance between class attribute values, lower the distnace the closer the values
distance(double, double) - Method in class weka.classifiers.neural.lvq.vectordistance.NominalDistance
Distance between nominal attribute values, lower the distnace the closer the values.
distance(double, double) - Method in class weka.classifiers.neural.lvq.vectordistance.NumericDistance
Distance between numberic attribute values, lower the distance the closer the values.
distance(double, double) - Method in class weka.classifiers.neural.lvq.vectordistance.OtherDistance
Distance between any attribute values, lower the distance the closer the values.
distanceEuclideanNormalised(double[], double[]) - Method in class weka.classifiers.immune.airs.algorithm.DistanceFunction
 
distanceEuclideanNormalised(double[], double[]) - Method in class weka.classifiers.immune.clonalg.DistanceFunction
 
distanceEuclideanNormalised(double[], double[]) - Method in class weka.classifiers.immune.immunos.DistanceFunction
 
distanceEuclideanUnnormalised(double[], double[]) - Method in class weka.classifiers.immune.airs.algorithm.DistanceFunction
 
distanceEuclideanUnnormalised(double[], double[]) - Method in class weka.classifiers.immune.clonalg.DistanceFunction
 
distanceEuclideanUnnormalised(double[], double[]) - Method in class weka.classifiers.immune.immunos.DistanceFunction
 
DistanceFactory - Class in weka.classifiers.neural.lvq.vectordistance
Description: Responsible for evaluating each attribute in the provided data instance, and returning an ordered list of distance measures used to calculate the distance for each attribute in the data item.
DistanceFactory() - Constructor for class weka.classifiers.neural.lvq.vectordistance.DistanceFactory
 
DistanceFunction - Class in weka.classifiers.immune.airs.algorithm
Type: AffinityFunction File: AffinityFunction.java Date: 30/12/2004 Description:
DistanceFunction(Instances) - Constructor for class weka.classifiers.immune.airs.algorithm.DistanceFunction
 
DistanceFunction - Class in weka.classifiers.immune.clonalg
Type: AffinityFunction File: AffinityFunction.java Date: 30/12/2004 Description:
DistanceFunction(Instances) - Constructor for class weka.classifiers.immune.clonalg.DistanceFunction
 
DistanceFunction - Class in weka.classifiers.immune.immunos
Type: AffinityFunction File: AffinityFunction.java Date: 30/12/2004 Description:
DistanceFunction(Instances) - Constructor for class weka.classifiers.immune.immunos.DistanceFunction
 
distributionForInstance(Instance) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
distributionForInstance(Instance) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
Calcualte the class distribution for the provided instance
distributionForInstance(Instance) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
Calcualte the class distribution for the provided instance
distributionForInstance(Instance) - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
distributionForInstance(Instance) - Method in class weka.classifiers.neural.lvq.MultipassSom
 
distributionForInstance(Instance) - Method in class weka.classifiers.neural.lvq.Som
Overriden

E

epochEvent(int, int, CommonModel) - Method in interface weka.classifiers.neural.lvq.event.EpochEventListener
 
EpochEventListener - Interface in weka.classifiers.neural.lvq.event
Date: 28/05/2004 File: EpochEventListener.java
epsilonTipText() - Method in class weka.classifiers.neural.lvq.Lvq3
Epsilon tip
ERROR_INCREASE_SCALE - Static variable in class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm
 
errorDecreaseAdjustmentTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
errorIncreaseAdjustmentTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
errorPercentageTipText() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
EXTRA_PARAM_DESCRIPTIONS - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
EXTRA_PARAM_DESCRIPTIONS - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
EXTRA_PARAMETER_NOTES - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
EXTRA_PARAMETER_NOTES - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
EXTRA_PARAMETERS - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
EXTRA_PARAMETERS - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 

F

factory(int, double, int) - Static method in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
factory(int, RandomWrapper) - Static method in class weka.classifiers.neural.common.training.TrainerFactory
 
factory(int) - Static method in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
factory(int, RandomWrapper, Instances, int) - Static method in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
factory(int, double, int) - Static method in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
factory(int) - Static method in class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
FarthestFirstInitialiser - Class in weka.classifiers.neural.lvq.initialise
Date: 26/05/2004 File: FarthestFirstInitialiser.java
FarthestFirstInitialiser(RandomWrapper, Instances, int) - Constructor for class weka.classifiers.neural.lvq.initialise.FarthestFirstInitialiser
 
filenames - Static variable in class weka.classifiers.immune.airs.AIRSAlgorithmTester
 
finishedEpoch(Instances, double) - Method in interface weka.classifiers.neural.common.NeuralModel
 
finishedEpoch(Instances, double) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
finishedEpoch(Instances, double) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm
 
finishedEpoch(Instances, double) - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
format - Static variable in class weka.classifiers.immune.airs.algorithm.Utils
 
format - Static variable in class weka.classifiers.immune.clonalg.CSCAAlgorithm
 
format - Static variable in class weka.classifiers.immune.immunos.Immunos99Algorithm
 
format - Static variable in class weka.classifiers.immune.immunos.ImmunosTest
 

G

GaussianNeighbourhood - Class in weka.classifiers.neural.lvq.neighborhood
Date: 25/05/2004 File: GaussianNeighbourhood.java
GaussianNeighbourhood(double, int) - Constructor for class weka.classifiers.neural.lvq.neighborhood.GaussianNeighbourhood
 
GaussianTransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
GaussianTransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
generateCell(Instances) - Method in class weka.classifiers.immune.airs.algorithm.initialisation.RandomInstancesInitialisation
 
generateCell(Instances) - Method in class weka.classifiers.immune.airs.algorithm.ModelInitialisation
 
generateCellsArray(Instances, int) - Method in class weka.classifiers.immune.airs.algorithm.ModelInitialisation
 
generateCellsList(Instances, int) - Method in class weka.classifiers.immune.airs.algorithm.ModelInitialisation
 
generateSameWithoutNormalisation(Cell, Instance) - Method in class weka.classifiers.immune.airs.algorithm.samplegeneration.StimulationProportionalMutation
 
generateSample(Cell, Instance) - Method in class weka.classifiers.immune.airs.algorithm.samplegeneration.RandomMutate
 
generateSample(Cell, Instance) - Method in class weka.classifiers.immune.airs.algorithm.samplegeneration.StimulationProportionalMutation
 
generateSample(Cell, Instance) - Method in class weka.classifiers.immune.airs.algorithm.SampleGenerator
 
get2Bmu(Instance) - Method in class weka.classifiers.neural.lvq.model.LvqModel
 
getAffinity() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getAffinity() - Method in class weka.classifiers.immune.clonalg.Antibody
 
getAffinity() - Method in class weka.classifiers.immune.immunos.Antibody
 
getAffinityFunction() - Method in class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
getAffinityThresholdScalar() - Method in class weka.classifiers.immune.airs.AIRS1
 
getAffinityThresholdScalar() - Method in class weka.classifiers.immune.airs.AIRS2
 
getAffinityThresholdScalar() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getAllWeights() - Method in interface weka.classifiers.neural.common.NeuralModel
 
getAllWeights() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getAllWeights() - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
getAllWeights() - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
getAntibodyPoolSize() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getArbInitialPoolSize() - Method in class weka.classifiers.immune.airs.AIRS1
 
getAttributeDistanceList() - Method in class weka.classifiers.neural.lvq.initialise.CommonInitialiser
 
getAttributeDistanceList() - Method in interface weka.classifiers.neural.lvq.initialise.ModelInitialiser
 
getAttributeDistanceList(Instances) - Static method in class weka.classifiers.neural.lvq.vectordistance.DistanceFactory
Returns a vector of the same length as the data instance, where each element matches a data attribute at the same index in the data instance, and provides a suitable distance measure used for calculating the dinstanec between two values of the attributes type.
getAttributes() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getAttributes() - Method in class weka.classifiers.immune.clonalg.Antibody
 
getAttributes() - Method in class weka.classifiers.immune.immunos.Antibody
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.ClusterAlgorithmInitialiser
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.CommonInitialiser
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.KnnInitialiser
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.RandomEven
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.RandomProportional
 
getAttributes() - Method in class weka.classifiers.neural.lvq.initialise.RandomValues
 
getAttributes() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
Return codebook vector's internal representation
getBaseLVQAlgorithm() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
getBiasIndex() - Method in class weka.classifiers.neural.common.SimpleNeuron
 
getBiasInput() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getBiasInputValue() - Method in class weka.classifiers.neural.common.SimpleNeuron
 
getBmu(Instance) - Method in class weka.classifiers.neural.lvq.model.CommonModel
Returns the best matching unit (codebook vecotr) for a given data instance.
getBmuCorrectCount() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
getBmuCounts() - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
getBmuDistance(Instance) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
getBmuIncorrectCount() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
getCells() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
getClassHitDistribution() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
getClassification() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getClassification() - Method in class weka.classifiers.immune.clonalg.Antibody
 
getClassification() - Method in class weka.classifiers.immune.immunos.Antibody
 
getClassification() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
Return codebook vectors class assignmnet
getClassifier() - Method in class weka.classifiers.immune.airs.AIRS1
 
getClassifier() - Method in class weka.classifiers.immune.airs.AIRS2
 
getClassifier() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getClassIndex() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getClassIndex() - Method in class weka.classifiers.immune.clonalg.Antibody
 
getClassIndex() - Method in class weka.classifiers.immune.immunos.Antibody
 
getClassLabelIndex(int) - Method in class weka.classifiers.neural.lvq.model.CommonModel
Returns the class label for the provided class value/type index
getClassLables() - Method in class weka.classifiers.neural.lvq.initialise.CommonInitialiser
 
getClassLables() - Method in interface weka.classifiers.neural.lvq.initialise.ModelInitialiser
 
getClonalFactor() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getClonalRate() - Method in class weka.classifiers.immune.airs.AIRS1
 
getClonalRate() - Method in class weka.classifiers.immune.airs.AIRS2
 
getClonalRate() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getClonalScaleFactor() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getCodebookVectors() - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
getDataReduction() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getDataReduction(int) - Method in class weka.classifiers.immune.immunos.Immunos99Algorithm
 
getDescription(int) - Static method in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
getDescriptionForFunction(int) - Static method in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
getDescriptionForMode(int) - Static method in class weka.classifiers.neural.common.training.TrainerFactory
 
getdEwE() - Method in class weka.classifiers.neural.common.SimpleNeuron
 
getDistance() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
Get distance from data instance at a point in time
getDistanceMeasures() - Method in class weka.classifiers.immune.clonalg.DistanceFunction
 
getDistanceMeasures() - Method in class weka.classifiers.immune.immunos.DistanceFunction
 
getDistributionForInstance(Instance) - Method in class weka.classifiers.neural.common.CommonNeuralAlgorithmAncestor
Responsible for returning a class distribution for the provided instance.
getDistributionForInstance(Instance) - Method in interface weka.classifiers.neural.common.NeuralModel
 
getEpsilon() - Method in class weka.classifiers.neural.lvq.Lvq3
 
getErrorDecreaseAdjustment() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getErrorIncreaseAdjustment() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getErrorPercentage() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
getFitness() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
getFitness() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
getHiddenLayer1() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getHiddenLayer1() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getHiddenLayer2() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getHiddenLayer2() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getHiddenLayer3() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getHiddenLayer3() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getHitPercentage() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
getHypermutationRate() - Method in class weka.classifiers.immune.airs.AIRS1
 
getHypermutationRate() - Method in class weka.classifiers.immune.airs.AIRS2
 
getHypermutationRate() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getId() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
getIndividualLearningRate() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
codebook vectors individual learning rate
getInitialisationMode() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
Return the initialisation mode
getInitialLearningRate() - Method in class weka.classifiers.neural.common.learning.LearningRateKernel
 
getInitialPopulationSize() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getKnn() - Method in class weka.classifiers.immune.airs.AIRS1
 
getKnn() - Method in class weka.classifiers.immune.airs.AIRS2
 
getKnn() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getKNN() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getKNumNeighbours() - Method in class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
getLastWeightDeltas() - Method in class weka.classifiers.neural.common.SimpleNeuron
 
getLearningFunction() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Return the learning function
getLearningFunction() - Method in class weka.classifiers.neural.lvq.Som
Return the learning function
getLearningRate(int) - Method in interface weka.classifiers.neural.common.NeuralModel
 
getLearningRate() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getLearningRate() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Return the learning rate
getLearningRate() - Method in class weka.classifiers.neural.lvq.Som
 
getLearningRate(int) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
getLearningRate(int) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm
 
getLearningRate(int) - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
getLearningRateFunction() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getLearningRateFunction() - Method in class weka.classifiers.neural.singlelayerperceptron.Perceptron
 
getMapHeight() - Method in class weka.classifiers.neural.lvq.Som
 
getMapWidth() - Method in class weka.classifiers.neural.lvq.Som
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
getMaximum() - Method in class weka.classifiers.neural.common.transfer.TransferFunction
 
getMemInitialPoolSize() - Method in class weka.classifiers.immune.airs.AIRS1
 
getMemInitialPoolSize() - Method in class weka.classifiers.immune.airs.AIRS2
 
getMemInitialPoolSize() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getMergeMode() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
Return the learning function
getMinimum() - Method in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
getMinimum() - Method in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
getMinimum() - Method in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
getMinimum() - Method in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
getMinimum() - Method in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
getMinimum() - Method in class weka.classifiers.neural.common.transfer.TransferFunction
 
getMinimumFitnessThreshold() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getMinimumFitnessThreshold() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getMinMax() - Method in class weka.classifiers.immune.airs.algorithm.DistanceFunction
 
getMinMax() - Method in class weka.classifiers.immune.clonalg.DistanceFunction
 
getMinMax() - Method in class weka.classifiers.immune.immunos.DistanceFunction
 
getModel() - Method in class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
getModel() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getModel() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
getModel() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
getModelInformation() - Method in interface weka.classifiers.neural.common.NeuralModel
 
getModelInformation() - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
getModelInformation() - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm
 
getModelInformation() - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
getModelSummary(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AISModelClassifier
 
getMomentum() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getMomentum() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getMutationRate() - Method in class weka.classifiers.immune.airs.AIRS1
 
getNeighbourhoodFunction() - Method in class weka.classifiers.neural.lvq.Som
 
getNeighbourhoodSize() - Method in class weka.classifiers.neural.lvq.Som
 
getNetworkOutputs(Instance) - Method in interface weka.classifiers.neural.common.NeuralModel
 
getNetworkOutputs(Instance) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
getNetworkOutputs(Instance) - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
getNumGenerations() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getNumInstancesAffinityThreshold() - Method in class weka.classifiers.immune.airs.AIRS1
 
getNumInstancesAffinityThreshold() - Method in class weka.classifiers.immune.airs.AIRS2
 
getNumInstancesAffinityThreshold() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getNumOutputNeurons() - Method in interface weka.classifiers.neural.common.NeuralModel
 
getNumOutputNeurons() - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
getNumOutputNeurons() - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
getNumPartitions() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getNumResources() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getNumThreads() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getOptions() - Method in class weka.classifiers.immune.airs.AIRS1
 
getOptions() - Method in class weka.classifiers.immune.airs.AIRS2
 
getOptions() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getOptions() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getOptions() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getOptions() - Method in class weka.classifiers.immune.immunos.Immunos1
 
getOptions() - Method in class weka.classifiers.immune.immunos.Immunos2
 
getOptions() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getOptions() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getOptions() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
getOptions() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Returns a list of all common and specific algorithm options
getOptions() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
getOptions() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
getOptions() - Method in class weka.classifiers.neural.lvq.Som
 
getPass1LVQClassifier() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
getPass1SOMClassifier() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
getPass2LVQClassifier() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
getPass2SOMClassifier() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
getRand() - Method in class weka.classifiers.neural.common.RandomWrapper
 
getRandomDouble(double, double, RandomWrapper) - Static method in class weka.classifiers.neural.common.initialisation.Initialisation
 
getRandomDoubleWithSign(double, double, RandomWrapper) - Static method in class weka.classifiers.neural.common.initialisation.Initialisation
 
getRandomNumberSeed() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getRemainderPoolRatio() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getSeed() - Method in class weka.classifiers.immune.airs.AIRS1
 
getSeed() - Method in class weka.classifiers.immune.airs.AIRS2
 
getSeed() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getSeed() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getSeed() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getSeed() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getSeed() - Method in class weka.classifiers.neural.common.RandomWrapper
 
getSeed() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getSeedPopulationPercentage() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getSelectionPoolSize() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getStimulation() - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
getStimulationValue() - Method in class weka.classifiers.immune.airs.AIRS1
 
getStimulationValue() - Method in class weka.classifiers.immune.airs.AIRS2
 
getStimulationValue() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getSubModelAlgorithm() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
getTopology() - Method in class weka.classifiers.neural.lvq.Som
 
getTotalCodebookVectors() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getTotalCodebookVectors() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
 
getTotalCodebookVectors() - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
getTotalCodebookVectors() - Method in class weka.classifiers.neural.lvq.Som
 
getTotalGenerations() - Method in class weka.classifiers.immune.clonalg.CSCA
 
getTotalGenerations() - Method in class weka.classifiers.immune.immunos.Immunos99
 
getTotalReplacement() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
getTotalResources() - Method in class weka.classifiers.immune.airs.AIRS1
 
getTotalResources() - Method in class weka.classifiers.immune.airs.AIRS2
 
getTotalResources() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
getTotalTrainingBmuHits() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getTotalTrainingIterations() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Return total training iterations
getTrainingBmuUsage() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getTrainingIterations() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
getTrainingIterations() - Method in class weka.classifiers.neural.lvq.Som
 
getTrainingMode() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getTrainingMode() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getTrainingSummary() - Method in class weka.classifiers.immune.airs.algorithm.AIRS1Trainer
 
getTrainingSummary() - Method in class weka.classifiers.immune.airs.algorithm.AIRS2ParallelTrainer
 
getTrainingSummary() - Method in class weka.classifiers.immune.airs.algorithm.AIRS2Trainer
 
getTrainingSummary() - Method in interface weka.classifiers.immune.airs.algorithm.AISTrainer
 
getTransferFunction() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getTransferFunction() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getUseVoting() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
getWeightDecay() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
getWeightDecay() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
getWeights() - Method in class weka.classifiers.neural.common.SimpleNeuron
 
getWindowSize() - Method in class weka.classifiers.neural.lvq.Lvq2_1
Returns the window size value
getWindowSize() - Method in class weka.classifiers.neural.lvq.Lvq3
 
globalInfo() - Method in class weka.classifiers.immune.airs.AIRS1
 
globalInfo() - Method in class weka.classifiers.immune.airs.AIRS2
 
globalInfo() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
globalInfo() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
globalInfo() - Method in class weka.classifiers.immune.clonalg.CSCA
 
globalInfo() - Method in class weka.classifiers.immune.immunos.Immunos1
 
globalInfo() - Method in class weka.classifiers.immune.immunos.Immunos2
 
globalInfo() - Method in class weka.classifiers.immune.immunos.Immunos99
 
globalInfo() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
globalInfo() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
globalInfo() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
globalInfo() - Method in class weka.classifiers.neural.lvq.Lvq1
Return LVQ1 specific information
globalInfo() - Method in class weka.classifiers.neural.lvq.Lvq2_1
Returns global info on the algorithm implementation
globalInfo() - Method in class weka.classifiers.neural.lvq.Lvq3
Returns information about this algorithm implementation
globalInfo() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
globalInfo() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
globalInfo() - Method in class weka.classifiers.neural.lvq.Olvq1
Return information about this algorithm implementation
globalInfo() - Method in class weka.classifiers.neural.lvq.Olvq3
Returns information about this algorithm implementation
globalInfo() - Method in class weka.classifiers.neural.lvq.Som
 
globalInfo() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
globalInfo() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
globalInfo() - Method in class weka.classifiers.neural.singlelayerperceptron.Perceptron
 
globalInfo() - Method in class weka.classifiers.neural.singlelayerperceptron.WidrowHoff
 

H

hasClassChanged() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
hasMisClassified() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
hasMisClassified() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
HexagonalNeighbourhoodDistance - Class in weka.classifiers.neural.lvq.topology
Date: 25/05/2004 File: HexagonalNeighbourhoodDistance.java
HexagonalNeighbourhoodDistance() - Constructor for class weka.classifiers.neural.lvq.topology.HexagonalNeighbourhoodDistance
 
hiddenLayer1TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
hiddenLayer1TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
hiddenLayer2TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
hiddenLayer2TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
hiddenLayer3TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
hiddenLayer3TipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
HierarchalLvq - Class in weka.classifiers.neural.lvq
Date: 22/05/2004 File: HierarchalLVQ.java
HierarchalLvq() - Constructor for class weka.classifiers.neural.lvq.HierarchalLvq
 
hitPercentageTipText() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
HyperbolicTangentTransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
HyperbolicTangentTransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
hypermutationRateTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
hypermutationRateTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
hypermutationRateTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 

I

Immunos1 - Class in weka.classifiers.immune.immunos
Type: Immunos
Date: 28/01/2005

Description:
Immunos1() - Constructor for class weka.classifiers.immune.immunos.Immunos1
 
Immunos1Algorithm - Class in weka.classifiers.immune.immunos
Type: ImmunosCommon
Date: 28/01/2005

Description:
Immunos1Algorithm() - Constructor for class weka.classifiers.immune.immunos.Immunos1Algorithm
 
Immunos2 - Class in weka.classifiers.immune.immunos
Type: Immunos
Date: 28/01/2005

Description:
Immunos2() - Constructor for class weka.classifiers.immune.immunos.Immunos2
 
Immunos2Algorithm - Class in weka.classifiers.immune.immunos
Type: ImmunosClonalMean
Date: 28/01/2005

Description:
Immunos2Algorithm() - Constructor for class weka.classifiers.immune.immunos.Immunos2Algorithm
 
Immunos99 - Class in weka.classifiers.immune.immunos
Type: Immunos99
Date: 19/01/2005

Description:
Immunos99() - Constructor for class weka.classifiers.immune.immunos.Immunos99
 
Immunos99Algorithm - Class in weka.classifiers.immune.immunos
Type: Immunos99Algorithm
Date: 19/01/2005

Description:
Immunos99Algorithm(double, int, long, double, boolean) - Constructor for class weka.classifiers.immune.immunos.Immunos99Algorithm
 
Immunos99Antibody - Class in weka.classifiers.immune.immunos
Type: Immunos99Antibody
File: Immunos99Antibody.java
Date: 23/01/2005

Description:
Immunos99Antibody(double[], int, int) - Constructor for class weka.classifiers.immune.immunos.Immunos99Antibody
 
Immunos99Antibody(Instance) - Constructor for class weka.classifiers.immune.immunos.Immunos99Antibody
 
Immunos99Antibody(Immunos99Antibody) - Constructor for class weka.classifiers.immune.immunos.Immunos99Antibody
 
Immunos99Test - Class in weka.classifiers.immune.immunos
Type: Immunos99Test
Date: 19/01/2005

Description:
Immunos99Test() - Constructor for class weka.classifiers.immune.immunos.Immunos99Test
 
ImmunosTest - Class in weka.classifiers.immune.immunos
Type: CLONALGTest
Date: 19/01/2005

Description:
ImmunosTest() - Constructor for class weka.classifiers.immune.immunos.ImmunosTest
 
INITALISE_FARTHEST_FIRST - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
INITALISE_KNN - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
INITALISE_RANDOM_VALUES - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
INITALISE_SIMPLE_KMEANS - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
INITALISE_TRAINING_EVEN - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
INITALISE_TRAINING_PROPORTIONAL - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
Initialisation - Class in weka.classifiers.neural.common.initialisation
Title: Weka Neural Implementation
Initialisation() - Constructor for class weka.classifiers.neural.common.initialisation.Initialisation
 
InitialisationFactory - Class in weka.classifiers.neural.lvq.initialise
Date: 25/05/2004 File: InitialisationFactory.java
InitialisationFactory() - Constructor for class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
initialisationModeTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Initialisation mode tip
initialisationModeTipText() - Method in class weka.classifiers.neural.lvq.Som
 
initialise(double[], int, int) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
initialiseCodebookVector(CodebookVector) - Method in class weka.classifiers.neural.lvq.initialise.CommonInitialiser
 
initialiseCodebookVector(CodebookVector) - Method in interface weka.classifiers.neural.lvq.initialise.ModelInitialiser
 
initialiseModel(ModelInitialiser) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
initialiseVectorToRandom(double[], double, double, RandomWrapper) - Static method in class weka.classifiers.neural.common.initialisation.Initialisation
 
initialiseVectorToRandomWithSign(double[], double, double, RandomWrapper) - Static method in class weka.classifiers.neural.common.initialisation.Initialisation
 
initialPopulationSizeTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
input(Instance) - Method in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
Input an instance for filtering.
InverseLearningRate - Class in weka.classifiers.neural.common.learning
Date: 25/05/2004 File: InverseLearningRate.java
InverseLearningRate(double, int) - Constructor for class weka.classifiers.neural.common.learning.InverseLearningRate
 
isClass() - Method in interface weka.classifiers.immune.affinity.AttributeDistance
 
isClass() - Method in class weka.classifiers.immune.affinity.ClassAttributeDistance
 
isClass() - Method in class weka.classifiers.immune.affinity.NominalAttributeDistance
 
isClass() - Method in class weka.classifiers.immune.affinity.NumericAttributeDistance
 
isClass() - Method in class weka.classifiers.immune.affinity.UnsupportedAttributeDistance
 
isDistanceInRadius(double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.BubbleNeighbourhood
 
isDistanceInRadius(double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.GaussianNeighbourhood
 
isDistanceInRadius(double, double) - Method in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernel
 
isEmpty() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
isNominal() - Method in interface weka.classifiers.immune.affinity.AttributeDistance
 
isNominal() - Method in class weka.classifiers.immune.affinity.ClassAttributeDistance
 
isNominal() - Method in class weka.classifiers.immune.affinity.NominalAttributeDistance
 
isNominal() - Method in class weka.classifiers.immune.affinity.NumericAttributeDistance
 
isNominal() - Method in class weka.classifiers.immune.affinity.UnsupportedAttributeDistance
 
isNumeric() - Method in interface weka.classifiers.immune.affinity.AttributeDistance
 
isNumeric() - Method in class weka.classifiers.immune.affinity.ClassAttributeDistance
 
isNumeric() - Method in class weka.classifiers.immune.affinity.NominalAttributeDistance
 
isNumeric() - Method in class weka.classifiers.immune.affinity.NumericAttributeDistance
 
isNumeric() - Method in class weka.classifiers.immune.affinity.UnsupportedAttributeDistance
 
isSameClass(Instance, Cell) - Static method in class weka.classifiers.immune.airs.algorithm.Utils
 
isSupervised() - Method in class weka.classifiers.neural.lvq.Som
 
iterator() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 

K

KnnInitialiser - Class in weka.classifiers.neural.lvq.initialise
Date: 26/05/2004 File: KnnInitialiser.java
KnnInitialiser(RandomWrapper, Instances) - Constructor for class weka.classifiers.neural.lvq.initialise.KnnInitialiser
 
knnTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
knnTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
knnTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
kNNTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 

L

labelMap(Instances) - Method in class weka.classifiers.neural.lvq.algorithm.SomAlgorithm
 
LEARNING_FUNCTION_FULL_DESC - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
LEARNING_FUNCTION_INVERSE - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
LEARNING_FUNCTION_LINEAR - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
LEARNING_FUNCTION_STATIC - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
learningFunctionTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Learning function tip
learningFunctionTipText() - Method in class weka.classifiers.neural.lvq.Som
 
LearningKernelFactory - Class in weka.classifiers.neural.common.learning
Date: 25/05/2004 File: LearningRateFactory.java
LearningKernelFactory() - Constructor for class weka.classifiers.neural.common.learning.LearningKernelFactory
 
learningRateFunctionTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
learningRateFunctionTipText() - Method in class weka.classifiers.neural.singlelayerperceptron.Perceptron
 
LearningRateKernel - Class in weka.classifiers.neural.common.learning
Date: 25/05/2004 File: LearningRateKernel.java
LearningRateKernel(double, int) - Constructor for class weka.classifiers.neural.common.learning.LearningRateKernel
 
learningRateTipText() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
learningRateTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Learning rate tip
LinearLearningRate - Class in weka.classifiers.neural.common.learning
Date: 25/05/2004 File: LinearLearningRate.java
LinearLearningRate(double, int) - Constructor for class weka.classifiers.neural.common.learning.LinearLearningRate
 
listOptions() - Method in class weka.classifiers.immune.airs.AIRS1
 
listOptions() - Method in class weka.classifiers.immune.airs.AIRS2
 
listOptions() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
listOptions() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
listOptions() - Method in class weka.classifiers.immune.clonalg.CSCA
 
listOptions() - Method in class weka.classifiers.immune.immunos.Immunos1
 
listOptions() - Method in class weka.classifiers.immune.immunos.Immunos2
 
listOptions() - Method in class weka.classifiers.immune.immunos.Immunos99
 
listOptions() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
listOptions() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
listOptions() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Provides a list of common algorithm options, as well as specific options
listOptions() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
listOptions() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
listOptions() - Method in class weka.classifiers.neural.lvq.Som
 
LOWER_THREAHOLD - Static variable in class weka.classifiers.neural.common.transfer.TransferFunction
 
Lvq1 - Class in weka.classifiers.neural.lvq
Description: Implementation of the LVQ1 algorithm for use in WEKA Implements elements required for the common LVQ algorithm framework specific to the LVQ1 algorithm.
Lvq1() - Constructor for class weka.classifiers.neural.lvq.Lvq1
 
Lvq1Algorithm - Class in weka.classifiers.neural.lvq.algorithm
Description: Implementation of the LVQ algorithm used to construct a model for a given dataset
Copyright (c) Jason Brownlee 2004
Lvq1Algorithm(LearningRateKernel, CommonModel, RandomWrapper) - Constructor for class weka.classifiers.neural.lvq.algorithm.Lvq1Algorithm
 
Lvq2_1 - Class in weka.classifiers.neural.lvq
Description: Implementation of the LVQ2.1 algorithm for use in WEKA.
Lvq2_1() - Constructor for class weka.classifiers.neural.lvq.Lvq2_1
 
Lvq2_1Algorithm - Class in weka.classifiers.neural.lvq.algorithm
Description: Implementation of the LVQ2.1 algorithm.
Lvq2_1Algorithm(LearningRateKernel, CommonModel, RandomWrapper, double) - Constructor for class weka.classifiers.neural.lvq.algorithm.Lvq2_1Algorithm
 
Lvq3 - Class in weka.classifiers.neural.lvq
Description: Implementation of the LVQ3 algorithm for use in WEKA
Copyright (c) Jason Brownlee 2004
Lvq3() - Constructor for class weka.classifiers.neural.lvq.Lvq3
 
Lvq3Algorithm - Class in weka.classifiers.neural.lvq.algorithm
Description: Represents an implementation of the LVQ algorithm
Copyright (c) Jason Brownlee 2004
Lvq3Algorithm(LearningRateKernel, CommonModel, RandomWrapper, double, double) - Constructor for class weka.classifiers.neural.lvq.algorithm.Lvq3Algorithm
 
LVQAlgorithmAncestor - Class in weka.classifiers.neural.lvq.algorithm
Description: Common ancestor for LVQ algorithm implementations, specifically used for building models from training datasets
Copyright (c) Jason Brownlee 2004
LVQAlgorithmAncestor(LearningRateKernel, CommonModel, RandomWrapper) - Constructor for class weka.classifiers.neural.lvq.algorithm.LVQAlgorithmAncestor
 
LvqAlgorithmAncestor - Class in weka.classifiers.neural.lvq
Description: Represents a common ancestor for specific LVQ algorithm implementations.
LvqAlgorithmAncestor() - Constructor for class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
 
LvqModel - Class in weka.classifiers.neural.lvq.model
Description: Represents a LVQ model generated using a varient of the LVQ algorithm for a dataset
Copyright (c) Jason Brownlee 2004
LvqModel(int) - Constructor for class weka.classifiers.neural.lvq.model.LvqModel
 

M

main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS1
 
main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS1Test
 
main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS2
 
main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS2Parallel
 
main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS2ParallelTest
 
main(String[]) - Static method in class weka.classifiers.immune.airs.AIRS2Test
 
main(String[]) - Static method in class weka.classifiers.immune.airs.SampleAIRSUsage
 
main(String[]) - Static method in class weka.classifiers.immune.clonalg.CLONALG
 
main(String[]) - Static method in class weka.classifiers.immune.clonalg.CLONALGTest
 
main(String[]) - Static method in class weka.classifiers.immune.clonalg.CSCA
 
main(String[]) - Static method in class weka.classifiers.immune.clonalg.CSCATest
 
main(String[]) - Static method in class weka.classifiers.immune.clonalg.SimpleCSCAUsage
 
main(String[]) - Static method in class weka.classifiers.immune.immunos.Immunos1
 
main(String[]) - Static method in class weka.classifiers.immune.immunos.Immunos2
 
main(String[]) - Static method in class weka.classifiers.immune.immunos.Immunos99
 
main(String[]) - Static method in class weka.classifiers.immune.immunos.Immunos99Test
 
main(String[]) - Static method in class weka.classifiers.immune.immunos.ImmunosTest
 
main(String[]) - Static method in class weka.classifiers.neural.lvq.HierarchalLvq
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.Lvq1
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.Lvq2_1
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.Lvq3
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.MultipassLvq
 
main(String[]) - Static method in class weka.classifiers.neural.lvq.MultipassSom
 
main(String[]) - Static method in class weka.classifiers.neural.lvq.Olvq1
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.Olvq3
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.lvq.Som
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.singlelayerperceptron.Perceptron
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.classifiers.neural.singlelayerperceptron.WidrowHoff
Entry point into the algorithm for direct usage
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
Main method for testing this class.
MajorityVote - Class in weka.classifiers.immune.airs.algorithm.classification
Type: MajorityVote File: MajorityVote.java Date: 30/12/2004 Description:
MajorityVote(int, Normalize, CellPool, AffinityFunction) - Constructor for class weka.classifiers.immune.airs.algorithm.classification.MajorityVote
 
mapHeightTipText() - Method in class weka.classifiers.neural.lvq.Som
 
mapWidthTipText() - Method in class weka.classifiers.neural.lvq.Som
 
MAX - Static variable in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
MAX - Static variable in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
MAX - Static variable in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
MAX - Static variable in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
MAX - Static variable in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
max(double[]) - Static method in class weka.classifiers.neural.common.Utils
 
MAX - Static variable in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
 
memInitialPoolSizeTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
memInitialPoolSizeTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
memInitialPoolSizeTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
MemoryCellMerger - Interface in weka.classifiers.immune.airs.algorithm
Type: MemoryCellMerger
File: MemoryCellMerger.java
Date: 8/01/2005

Description:
mergeMemoryCells(LinkedList<Cell>[], int, Normalize, AffinityFunction, Instances) - Method in interface weka.classifiers.immune.airs.algorithm.MemoryCellMerger
 
mergeMemoryCells(LinkedList[], int, Normalize, AffinityFunction, Instances) - Method in class weka.classifiers.immune.airs.algorithm.merge.ConcatenateMerge
 
mergeMemoryCells(LinkedList[], int, Normalize, AffinityFunction, Instances) - Method in class weka.classifiers.immune.airs.algorithm.merge.PruneMerge
 
mergeModeTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
MIN - Static variable in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
MIN - Static variable in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
MIN - Static variable in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
MIN - Static variable in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
MIN - Static variable in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
min(double[]) - Static method in class weka.classifiers.neural.common.Utils
 
MIN - Static variable in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
 
minimumFitnessThresholdTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
minimumFitnessThresholdTipText() - Method in class weka.classifiers.immune.immunos.Immunos99
 
ModelInitialisation - Class in weka.classifiers.immune.airs.algorithm
Type: ModelInitialisation File: ModelInitialisation.java Date: 30/12/2004 Description:
ModelInitialisation(Random) - Constructor for class weka.classifiers.immune.airs.algorithm.ModelInitialisation
 
ModelInitialiser - Interface in weka.classifiers.neural.lvq.initialise
Date: 25/05/2004 File: ModelInitialiser.java
ModelUpdater - Interface in weka.classifiers.neural.lvq.model
Date: 25/05/2004 File: ModelUpdater.java
momentumTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
momentumTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
MultipassLvq - Class in weka.classifiers.neural.lvq
Date: 26/05/2004 File: MultipassLvq2.java
MultipassLvq() - Constructor for class weka.classifiers.neural.lvq.MultipassLvq
 
MultipassSom - Class in weka.classifiers.neural.lvq
Date: 26/05/2004 File: MultipassLvq2.java
MultipassSom() - Constructor for class weka.classifiers.neural.lvq.MultipassSom
 
mutationRateTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 

N

neighborhoodDistance(int, int, int, int) - Method in class weka.classifiers.neural.lvq.topology.HexagonalNeighbourhoodDistance
 
neighborhoodDistance(int, int, int, int) - Method in interface weka.classifiers.neural.lvq.topology.NeighbourhoodDistance
 
neighborhoodDistance(int, int, int, int) - Method in class weka.classifiers.neural.lvq.topology.RectangleNeighborhoodDistance
 
NEIGHBOURHOOD_DISTANCE_RECTANGLE - Static variable in class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
NEIGHBOURHOOD_DISTNACE_HEXAGONAL - Static variable in class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
NEIGHBOURHOOD_KERNEL_BUBBLE - Static variable in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
NEIGHBOURHOOD_KERNEL_GAUSSIAN - Static variable in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
NeighbourhoodDistance - Interface in weka.classifiers.neural.lvq.topology
Date: 25/05/2004 File: NeighbourhoodDistance.java
NeighbourhoodDistanceFactory - Class in weka.classifiers.neural.lvq.topology
Date: 25/05/2004 File: NeighbourhoodDistanceFactory.java
NeighbourhoodDistanceFactory() - Constructor for class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
neighbourhoodFunctionTipText() - Method in class weka.classifiers.neural.lvq.Som
 
NeighbourhoodKernel - Class in weka.classifiers.neural.lvq.neighborhood
Date: 25/05/2004 File: SomNeighborhood.java
NeighbourhoodKernel(double, int) - Constructor for class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernel
 
NeighbourhoodKernelFactory - Class in weka.classifiers.neural.lvq.neighborhood
Date: 25/05/2004 File: NeighbourhoodKernelFactory.java
NeighbourhoodKernelFactory() - Constructor for class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
neighbourhoodSizeTipText() - Method in class weka.classifiers.neural.lvq.Som
 
NeuralModel - Interface in weka.classifiers.neural.common
Title: Weka Neural Implementation
NeuralTrainer - Class in weka.classifiers.neural.common.training
Title: Weka Neural Implementation
NeuralTrainer(RandomWrapper) - Constructor for class weka.classifiers.neural.common.training.NeuralTrainer
 
NominalAttributeDistance - Class in weka.classifiers.immune.affinity
Type: NominalAttributeDistance File: NominalAttributeDistance.java Date: 30/12/2004 Description:
NominalAttributeDistance() - Constructor for class weka.classifiers.immune.affinity.NominalAttributeDistance
 
NominalDistance - Class in weka.classifiers.neural.lvq.vectordistance
Description: Calculates the distance between two nominal data values
Copyright (c) Jason Brownlee 2004
NominalDistance() - Constructor for class weka.classifiers.neural.lvq.vectordistance.NominalDistance
 
normalise(double[]) - Static method in class weka.classifiers.neural.common.Utils
 
normalise(double[], double, double) - Static method in class weka.classifiers.neural.common.Utils
 
NormalizeMidpointZero - Class in weka.filters.unsupervised.attribute
Title: Weka Neural Implementation
NormalizeMidpointZero() - Constructor for class weka.filters.unsupervised.attribute.NormalizeMidpointZero
 
NumericAttributeDistance - Class in weka.classifiers.immune.affinity
Type: NumericAttributeDistance File: NumericAttributeDistance.java Date: 30/12/2004 Description:
NumericAttributeDistance() - Constructor for class weka.classifiers.immune.affinity.NumericAttributeDistance
 
NumericDistance - Class in weka.classifiers.neural.lvq.vectordistance
Description: Distance between numberic attribute values, lower the distance the closer the values.
NumericDistance() - Constructor for class weka.classifiers.neural.lvq.vectordistance.NumericDistance
 
numGenerationsTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
numInstancesAffinityThresholdTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
numInstancesAffinityThresholdTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
numInstancesAffinityThresholdTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
numPartitionsTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
numThreadsTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 

O

Olvq1 - Class in weka.classifiers.neural.lvq
Description: An implementation of the OLVQ1 algorithm for use in WEKA
Copyright (c) Jason Brownlee 2004
Olvq1() - Constructor for class weka.classifiers.neural.lvq.Olvq1
 
Olvq1Algorithm - Class in weka.classifiers.neural.lvq.algorithm
Description: Implementation of the OLVQ1 algorithm.
Olvq1Algorithm(LearningRateKernel, CommonModel, RandomWrapper) - Constructor for class weka.classifiers.neural.lvq.algorithm.Olvq1Algorithm
 
Olvq3 - Class in weka.classifiers.neural.lvq
Date: 24/05/2004 File: OLVQ3.java
Olvq3() - Constructor for class weka.classifiers.neural.lvq.Olvq3
 
Olvq3Algorithm - Class in weka.classifiers.neural.lvq.algorithm
Date: 24/05/2004 File: OLVQ3.java
Olvq3Algorithm(LearningRateKernel, CommonModel, RandomWrapper, double, double) - Constructor for class weka.classifiers.neural.lvq.algorithm.Olvq3Algorithm
 
OnlineTrainer - Class in weka.classifiers.neural.common.training
Title: Weka Neural Implementation
OnlineTrainer(RandomWrapper) - Constructor for class weka.classifiers.neural.common.training.OnlineTrainer
 
orderByAffinity() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
orderByResources() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
orderByStimulation() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
OtherDistance - Class in weka.classifiers.neural.lvq.vectordistance
Description: Calculates the distance between two unknown attributes
Copyright (c) Jason Brownlee 2004
OtherDistance() - Constructor for class weka.classifiers.neural.lvq.vectordistance.OtherDistance
 
overflowProtectionTransfer(double) - Method in class weka.classifiers.neural.common.transfer.TransferFunction
 

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PARAM_ARB_INSTANCES - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_AT_INSTANCES - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_ATS - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_CLONAL_RATE - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_ERROR_DECREASE - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_ERROR_INCREASE - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_HIDDEN_1 - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_HIDDEN_1 - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_HIDDEN_2 - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_HIDDEN_2 - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_HIDDEN_3 - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_HIDDEN_3 - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_HMR - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_KNN - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_LEARNING_RATE_FUNCTION - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_MEM_INSTANCES - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_MERGE - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_MOMENTUM - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_MOMENTUM - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_MUTATION_RATE - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_RESOURCES - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_SEED - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_STIMULATION - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_THREADS - Static variable in interface weka.classifiers.immune.airs.AIRSParameterDocumentation
 
PARAM_TRAINING_MODE - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_TRAINING_MODE - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_TRANSFER_FUNCTION - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_TRANSFER_FUNCTION - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
PARAM_WEIGHT_DECAY - Static variable in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
PARAM_WEIGHT_DECAY - Static variable in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
pass1LVQClassifierTipText() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
pass1SOMClassifierTipText() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
pass2LVQClassifierTipText() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
pass2SOMClassifierTipText() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
Perceptron - Class in weka.classifiers.neural.singlelayerperceptron
Title: Weka Neural Implementation
Perceptron() - Constructor for class weka.classifiers.neural.singlelayerperceptron.Perceptron
 
PerceptronAlgorithm - Class in weka.classifiers.neural.singlelayerperceptron.algorithm
Title: Weka Neural Implementation
PerceptronAlgorithm(TransferFunction, double, RandomWrapper, LearningRateKernel, Instances) - Constructor for class weka.classifiers.neural.singlelayerperceptron.algorithm.PerceptronAlgorithm
 
performPrunning(CellPool, Instances, AffinityFunction) - Static method in class weka.classifiers.immune.airs.algorithm.Utils
 
prepareBuildTimeReport() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
prepareClassDistributionReport(String) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
Responsible for calculating the class distribution of nodes in the provided model
prepareCodebookVectorReport() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
prepareDistanceMeasures(Instances) - Method in class weka.classifiers.immune.airs.algorithm.DistanceFunction
 
prepareDistanceMeasures(Instances) - Method in class weka.classifiers.immune.clonalg.DistanceFunction
 
prepareDistanceMeasures(Instances) - Method in class weka.classifiers.immune.immunos.DistanceFunction
 
prepareIndividualClassDistributionReport() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
prepareTrainingBMUReport() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
prepareTrainingTimeReport() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
prepareTrainingTimeReport() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
PruneMerge - Class in weka.classifiers.immune.airs.algorithm.merge
Type: ConcatonateMerge
File: ConcatonateMerge.java
Date: 8/01/2005

Description:
PruneMerge() - Constructor for class weka.classifiers.immune.airs.algorithm.merge.PruneMerge
 

Q

quantisationErrorReport() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 

R

RandomEven - Class in weka.classifiers.neural.lvq.initialise
Date: 25/05/2004 File: RandomEven.java
RandomEven(RandomWrapper, Instances) - Constructor for class weka.classifiers.neural.lvq.initialise.RandomEven
 
RandomInstancesInitialisation - Class in weka.classifiers.immune.airs.algorithm.initialisation
Type: RandomInstancesInitialisation File: RandomInstancesInitialisation.java Date: 30/12/2004 Description:
RandomInstancesInitialisation(Random) - Constructor for class weka.classifiers.immune.airs.algorithm.initialisation.RandomInstancesInitialisation
 
RandomMutate - Class in weka.classifiers.immune.airs.algorithm.samplegeneration
Type: RandomMutate File: RandomMutate.java Date: 30/12/2004 Description:
RandomMutate(Random, int, double) - Constructor for class weka.classifiers.immune.airs.algorithm.samplegeneration.RandomMutate
 
randomNumberSeedTipText() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
RandomProportional - Class in weka.classifiers.neural.lvq.initialise
Date: 25/05/2004 File: RandomProportional.java
RandomProportional(RandomWrapper, Instances) - Constructor for class weka.classifiers.neural.lvq.initialise.RandomProportional
 
randomSeedTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Random number seed
RandomValues - Class in weka.classifiers.neural.lvq.initialise
Date: 26/05/2004 File: RandomValues.java
RandomValues(RandomWrapper, Instances) - Constructor for class weka.classifiers.neural.lvq.initialise.RandomValues
 
RandomWrapper - Class in weka.classifiers.neural.common
Date: 18/05/2004 File: RandomWrapper.java
RandomWrapper(long) - Constructor for class weka.classifiers.neural.common.RandomWrapper
Constructor
RandomWrapper() - Constructor for class weka.classifiers.neural.common.RandomWrapper
Constructor
recreate() - Method in class weka.classifiers.neural.common.RandomWrapper
 
RectangleNeighborhoodDistance - Class in weka.classifiers.neural.lvq.topology
Date: 25/05/2004 File: RectangleNeighborhoodDistance.java
RectangleNeighborhoodDistance() - Constructor for class weka.classifiers.neural.lvq.topology.RectangleNeighborhoodDistance
 
remainderPoolRatioTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
resetBmuCounts() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
resourceComparator - Static variable in class weka.classifiers.immune.airs.algorithm.CellPool
 
resourceResponse() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
run() - Method in class weka.classifiers.immune.airs.AIRSAlgorithmTester
 

S

SampleAIRSUsage - Class in weka.classifiers.immune.airs
Type: SampleAIRSUsage
File: SampleAIRSUsage.java
Date: 15/01/2005

Description:
SampleAIRSUsage() - Constructor for class weka.classifiers.immune.airs.SampleAIRSUsage
 
SampleGenerator - Class in weka.classifiers.immune.airs.algorithm
Type: CloneGenerator File: CloneGenerator.java Date: 30/12/2004 Description:
SampleGenerator(Random) - Constructor for class weka.classifiers.immune.airs.algorithm.SampleGenerator
 
seedPopulationPercentageTipText() - Method in class weka.classifiers.immune.immunos.Immunos99
 
seedTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
seedTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
seedTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
seedTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
seedTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
seedTipText() - Method in class weka.classifiers.immune.immunos.Immunos99
 
seedTipText() - Method in class weka.classifiers.neural.lvq.Som
 
selectionPoolSizeTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setAffinity(double) - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
setAffinity(double) - Method in class weka.classifiers.immune.clonalg.Antibody
 
setAffinity(double) - Method in class weka.classifiers.immune.immunos.Antibody
 
setAffinityThreshold(double) - Method in class weka.classifiers.immune.airs.algorithm.AIRS1Trainer
 
setAffinityThreshold(double) - Method in class weka.classifiers.immune.airs.algorithm.AIRS2Trainer
 
setAffinityThresholdScalar(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setAffinityThresholdScalar(double) - Method in class weka.classifiers.immune.airs.AIRS2
 
setAffinityThresholdScalar(double) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setAntibodyPoolSize(int) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setArbInitialPoolSize(int) - Method in class weka.classifiers.immune.airs.AIRS1
 
setBaseLVQAlgorithm(Classifier) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
setBiasInput(double) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
setBmuHit(double, Instance) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
setClassification(double) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
setClassifier(AISModelClassifier) - Method in class weka.classifiers.immune.airs.AIRS1
 
setClassifier(AISModelClassifier) - Method in class weka.classifiers.immune.airs.AIRS2
 
setClassifier(AISModelClassifier) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setClonalFactor(double) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setClonalRate(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setClonalRate(double) - Method in class weka.classifiers.immune.airs.AIRS2
 
setClonalRate(double) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setClonalScaleFactor(double) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setEpsilon(double) - Method in class weka.classifiers.neural.lvq.Lvq3
 
setErrorDecreaseAdjustment(double) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setErrorIncreaseAdjustment(double) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setErrorPercentage(double) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
setHiddenLayer1(int) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setHiddenLayer1(int) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setHiddenLayer2(int) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setHiddenLayer2(int) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setHiddenLayer3(int) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setHiddenLayer3(int) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setHitPercentage(double) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
setHypermutationRate(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setHypermutationRate(double) - Method in class weka.classifiers.immune.airs.AIRS2
 
setHypermutationRate(double) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setIndividualLearningRate(double) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
Set the codebook vectors learning rate
setInitialisationMode(SelectedTag) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
Set the initialisation mode
setInitialPopulationSize(int) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NormalizeMidpointZero
Sets the format of the input instances.
setKnn(int) - Method in class weka.classifiers.immune.airs.AIRS1
 
setKnn(int) - Method in class weka.classifiers.immune.airs.AIRS2
 
setKnn(int) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setKNN(int) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setLearningFunction(SelectedTag) - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Set learning functiom
setLearningFunction(SelectedTag) - Method in class weka.classifiers.neural.lvq.Som
Set learning functiom
setLearningRate(double) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
setLearningRate(double) - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Set the learning rate
setLearningRate(double) - Method in class weka.classifiers.neural.lvq.Som
 
setLearningRateFunction(SelectedTag) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setLearningRateFunction(SelectedTag) - Method in class weka.classifiers.neural.singlelayerperceptron.Perceptron
 
setMapHeight(int) - Method in class weka.classifiers.neural.lvq.Som
 
setMapWidth(int) - Method in class weka.classifiers.neural.lvq.Som
 
setMemInitialPoolSize(int) - Method in class weka.classifiers.immune.airs.AIRS1
 
setMemInitialPoolSize(int) - Method in class weka.classifiers.immune.airs.AIRS2
 
setMemInitialPoolSize(int) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setMergeMode(SelectedTag) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
Set learning functiom
setMinimumFitnessThreshold(double) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setMinimumFitnessThreshold(double) - Method in class weka.classifiers.immune.immunos.Immunos99
 
setMomentum(double) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setMomentum(double) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setMutationRate(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setNeighbourhoodFunction(SelectedTag) - Method in class weka.classifiers.neural.lvq.Som
 
setNeighbourhoodSize(int) - Method in class weka.classifiers.neural.lvq.Som
 
setNumGenerations(int) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setNumInstancesAffinityThreshold(int) - Method in class weka.classifiers.immune.airs.AIRS1
 
setNumInstancesAffinityThreshold(int) - Method in class weka.classifiers.immune.airs.AIRS2
 
setNumInstancesAffinityThreshold(int) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setNumPartitions(int) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setNumResources(double) - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
setNumThreads(int) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setOptions(String[]) - Method in class weka.classifiers.immune.airs.AIRS1
 
setOptions(String[]) - Method in class weka.classifiers.immune.airs.AIRS2
 
setOptions(String[]) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setOptions(String[]) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setOptions(String[]) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setOptions(String[]) - Method in class weka.classifiers.immune.immunos.Immunos1
 
setOptions(String[]) - Method in class weka.classifiers.immune.immunos.Immunos2
 
setOptions(String[]) - Method in class weka.classifiers.immune.immunos.Immunos99
 
setOptions(String[]) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
setOptions(String[]) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
setOptions(String[]) - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Set algorithm options, common and specific
setOptions(String[]) - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
setOptions(String[]) - Method in class weka.classifiers.neural.lvq.MultipassSom
 
setOptions(String[]) - Method in class weka.classifiers.neural.lvq.Som
 
setPass1LVQClassifier(Classifier) - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
setPass1SOMClassifier(Classifier) - Method in class weka.classifiers.neural.lvq.MultipassSom
 
setPass2LVQClassifier(Classifier) - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
setPass2SOMClassifier(Classifier) - Method in class weka.classifiers.neural.lvq.MultipassSom
 
setPreInitialisedModel(CommonModel) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
setPrepareBmuStatistis(boolean) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
setRandomNumberSeed(long) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
setRemainderPoolRatio(double) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setSeed(long) - Method in class weka.classifiers.immune.airs.AIRS1
 
setSeed(long) - Method in class weka.classifiers.immune.airs.AIRS2
 
setSeed(long) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setSeed(long) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setSeed(long) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setSeed(long) - Method in class weka.classifiers.immune.immunos.Immunos99
 
setSeed(long) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
setSeedPopulationPercentage(double) - Method in class weka.classifiers.immune.immunos.Immunos99
 
setSelectionPoolSize(int) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setStimulation(double) - Method in class weka.classifiers.immune.airs.algorithm.Cell
 
setStimulationValue(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setStimulationValue(double) - Method in class weka.classifiers.immune.airs.AIRS2
 
setStimulationValue(double) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setSubModelAlgorithm(Classifier) - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
setSupervised(boolean) - Method in class weka.classifiers.neural.lvq.Som
 
setTopology(SelectedTag) - Method in class weka.classifiers.neural.lvq.Som
 
setTotalCodebookVectors(int) - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
 
setTotalGenerations(int) - Method in class weka.classifiers.immune.clonalg.CSCA
 
setTotalGenerations(int) - Method in class weka.classifiers.immune.immunos.Immunos99
 
setTotalReplacement(int) - Method in class weka.classifiers.immune.clonalg.CLONALG
 
setTotalResources(double) - Method in class weka.classifiers.immune.airs.AIRS1
 
setTotalResources(double) - Method in class weka.classifiers.immune.airs.AIRS2
 
setTotalResources(double) - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
setTotalTrainingIterations(int) - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Set total training iterations
setTrainingIterations(int) - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
setTrainingIterations(int) - Method in class weka.classifiers.neural.lvq.Som
 
setTrainingMode(SelectedTag) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setTrainingMode(SelectedTag) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setTransferFunction(SelectedTag) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setTransferFunction(SelectedTag) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setUseVoting(boolean) - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
setUseVoting(boolean) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
setUseVoting(boolean) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
setWeightDecay(double) - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
setWeightDecay(double) - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
setWindowSize(double) - Method in class weka.classifiers.neural.lvq.Lvq2_1
Set the window size value
setWindowSize(double) - Method in class weka.classifiers.neural.lvq.Lvq3
 
SigmoidTransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
SigmoidTransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
SignTransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
SignTransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.SignTransferFunction
 
SimpleCSCAUsage - Class in weka.classifiers.immune.clonalg
Type: SimpleCSCAUsage
Date: 24/01/2005

Description:
SimpleCSCAUsage() - Constructor for class weka.classifiers.immune.clonalg.SimpleCSCAUsage
 
SimpleKMeansInitialiser - Class in weka.classifiers.neural.lvq.initialise
Date: 26/05/2004 File: SimpleKMeans.java
SimpleKMeansInitialiser(RandomWrapper, Instances, int) - Constructor for class weka.classifiers.neural.lvq.initialise.SimpleKMeansInitialiser
 
SimpleNeuron - Class in weka.classifiers.neural.common
Title: Weka Neural Implementation
SimpleNeuron(int, double) - Constructor for class weka.classifiers.neural.common.SimpleNeuron
 
size() - Method in class weka.classifiers.immune.airs.algorithm.CellPool
 
SLPAlgorithmAncestor - Class in weka.classifiers.neural.singlelayerperceptron.algorithm
Title: Weka Neural Implementation
SLPAlgorithmAncestor(TransferFunction, double, RandomWrapper, LearningRateKernel, Instances) - Constructor for class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
Som - Class in weka.classifiers.neural.lvq
Date: 25/05/2004 File: SupervisedSom.java
Som() - Constructor for class weka.classifiers.neural.lvq.Som
 
SomAlgorithm - Class in weka.classifiers.neural.lvq.algorithm
Date: 25/05/2004 File: SOMAlgorithm.java
SomAlgorithm(LearningRateKernel, NeighbourhoodKernel, SomModel, RandomWrapper, boolean) - Constructor for class weka.classifiers.neural.lvq.algorithm.SomAlgorithm
 
SomModel - Class in weka.classifiers.neural.lvq.model
Date: 25/05/2004 File: SOMModel.java
SomModel(NeighbourhoodDistance, int, int) - Constructor for class weka.classifiers.neural.lvq.model.SomModel
 
startingEpoch() - Method in interface weka.classifiers.neural.common.NeuralModel
 
startingEpoch() - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
startingEpoch() - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
StaticLearningRate - Class in weka.classifiers.neural.common.learning
Date: 25/05/2004 File: StaticLearningRate.java
StaticLearningRate(double, int) - Constructor for class weka.classifiers.neural.common.learning.StaticLearningRate
 
StepTransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
StepTransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.StepTransferFunction
 
stimulationComparator - Static variable in class weka.classifiers.immune.airs.algorithm.CellPool
 
StimulationProportionalMutation - Class in weka.classifiers.immune.airs.algorithm.samplegeneration
Type: StimulationProportionalMutation Date: 7/01/2005
StimulationProportionalMutation(Random) - Constructor for class weka.classifiers.immune.airs.algorithm.samplegeneration.StimulationProportionalMutation
 
StimulationProportionalMutation(Random, double[][]) - Constructor for class weka.classifiers.immune.airs.algorithm.samplegeneration.StimulationProportionalMutation
 
stimulationValueTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
stimulationValueTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
stimulationValueTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
subModelAlgorithmTipText() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
supervisedTipText() - Method in class weka.classifiers.neural.lvq.Som
 
switchClasses() - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
switchClasses() - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 

T

TAGS_LEARNING_FUNCTION - Static variable in class weka.classifiers.neural.common.learning.LearningKernelFactory
 
TAGS_MERGE_MODE - Static variable in class weka.classifiers.immune.airs.AIRS2Parallel
 
TAGS_MODEL_INITALISATION - Static variable in class weka.classifiers.neural.lvq.initialise.InitialisationFactory
 
TAGS_MODEL_TOPOLOGY - Static variable in class weka.classifiers.neural.lvq.topology.NeighbourhoodDistanceFactory
 
TAGS_NEIGHBOURHOOD_KERNEL - Static variable in class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernelFactory
 
TAGS_TRAINING_MODE - Static variable in class weka.classifiers.neural.common.training.TrainerFactory
 
TAGS_TRANSFER_FUNCTION - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
THRESHOLD - Static variable in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
THRESHOLD - Static variable in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
topologyTipText() - Method in class weka.classifiers.neural.lvq.Som
 
toString() - Method in class weka.classifiers.immune.airs.AIRS1
 
toString() - Method in class weka.classifiers.immune.airs.AIRS2
 
toString() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
toString() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
toString() - Method in class weka.classifiers.immune.clonalg.CSCA
 
toString() - Method in class weka.classifiers.immune.immunos.Immunos1
 
toString() - Method in class weka.classifiers.immune.immunos.Immunos2
 
toString() - Method in class weka.classifiers.immune.immunos.Immunos99
 
toString() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
toString() - Method in class weka.classifiers.neural.lvq.AlgorithmAncestor
 
toString() - Method in class weka.classifiers.neural.lvq.HierarchalLvq
 
toString() - Method in class weka.classifiers.neural.lvq.model.CodebookVector
String representation of this codebook vector
toString() - Method in class weka.classifiers.neural.lvq.MultipassLvq
 
toString() - Method in class weka.classifiers.neural.lvq.MultipassSom
 
totalCodebookVectorsTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Codebook vectors tip
totalGenerationsTipText() - Method in class weka.classifiers.immune.clonalg.CSCA
 
totalGenerationsTipText() - Method in class weka.classifiers.immune.immunos.Immunos99
 
totalReplacementTipText() - Method in class weka.classifiers.immune.clonalg.CLONALG
 
totalResourcesTipText() - Method in class weka.classifiers.immune.airs.AIRS1
 
totalResourcesTipText() - Method in class weka.classifiers.immune.airs.AIRS2
 
totalResourcesTipText() - Method in class weka.classifiers.immune.airs.AIRS2Parallel
 
totalTrainingIterationsTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
Training iterations tip
train(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AIRS1Trainer
 
train(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AIRS2ParallelTrainer
 
train(Instances) - Method in class weka.classifiers.immune.airs.algorithm.AIRS2Trainer
 
train(Instances) - Method in interface weka.classifiers.immune.airs.algorithm.AISTrainer
 
train(Instances) - Method in class weka.classifiers.immune.immunos.Immunos1Algorithm
 
TRAINER_BATCH - Static variable in class weka.classifiers.neural.common.training.TrainerFactory
 
TRAINER_ONLINE - Static variable in class weka.classifiers.neural.common.training.TrainerFactory
 
TrainerFactory - Class in weka.classifiers.neural.common.training
Title: Weka Neural Implementation
TrainerFactory() - Constructor for class weka.classifiers.neural.common.training.TrainerFactory
 
TRAINING_MODE_FULL_DESC - Static variable in class weka.classifiers.neural.common.training.TrainerFactory
 
trainingIterationsTipText() - Method in class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
trainingIterationsTipText() - Method in class weka.classifiers.neural.lvq.Som
 
trainingModeTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
trainingModeTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
trainModel(NeuralModel, Instances, int) - Method in class weka.classifiers.neural.common.training.BatchTrainer
 
trainModel(NeuralModel, Instances, int) - Method in class weka.classifiers.neural.common.training.NeuralTrainer
 
trainModel(NeuralModel, Instances, int) - Method in class weka.classifiers.neural.common.training.OnlineTrainer
 
trainModel(Instances, int) - Method in class weka.classifiers.neural.lvq.algorithm.CommonAncestor
 
trainModel(Instances, int) - Method in class weka.classifiers.neural.lvq.algorithm.LVQAlgorithmAncestor
 
trainModel(Instances, int) - Method in class weka.classifiers.neural.lvq.algorithm.SomAlgorithm
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.GaussianTransferFunction
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.SigmoidTransferFunction
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.SignTransferFunction
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.StepTransferFunction
 
transfer(double) - Method in class weka.classifiers.neural.common.transfer.TransferFunction
 
TRANSFER_FUNCTION_FULL_DESC - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TRANSFER_GAUSSIAN - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TRANSFER_SIGMOID - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TRANSFER_SIGN - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TRANSFER_STEP - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TRANSFER_TANH - Static variable in class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
TransferFunction - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
TransferFunction() - Constructor for class weka.classifiers.neural.common.transfer.TransferFunction
 
TransferFunctionFactory - Class in weka.classifiers.neural.common.transfer
Title: Weka Neural Implementation
TransferFunctionFactory() - Constructor for class weka.classifiers.neural.common.transfer.TransferFunctionFactory
 
transferFunctionTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
transferFunctionTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 

U

UnsupportedAttributeDistance - Class in weka.classifiers.immune.affinity
Type: UnsupportedAttributeDistance File: UnsupportedAttributeDistance.java Date: 30/12/2004 Description:
UnsupportedAttributeDistance() - Constructor for class weka.classifiers.immune.affinity.UnsupportedAttributeDistance
 
updateClassCount(Instance) - Method in class weka.classifiers.immune.clonalg.CSCAAntibody
 
updateClassCount(Instance, double) - Method in class weka.classifiers.immune.immunos.Immunos99Antibody
 
updateCodebookVector(CodebookVector) - Method in interface weka.classifiers.neural.lvq.model.ModelUpdater
 
updateModel(Instance, double) - Method in interface weka.classifiers.neural.common.NeuralModel
 
updateModel(ModelUpdater) - Method in class weka.classifiers.neural.lvq.model.CommonModel
 
updateModel(Instance, double) - Method in class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm
 
updateModel(Instance, double) - Method in class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor
 
UPPER_THREAHOLD - Static variable in class weka.classifiers.neural.common.transfer.TransferFunction
 
useVotingTipText() - Method in class weka.classifiers.neural.lvq.LvqAlgorithmAncestor
 
useVotingTipText() - Method in class weka.classifiers.neural.lvq.Som
 
Utils - Class in weka.classifiers.immune.airs.algorithm
Type: Utils File: Utils.java Date: 30/12/2004 Description:
Utils() - Constructor for class weka.classifiers.immune.airs.algorithm.Utils
 
Utils - Class in weka.classifiers.neural.common
Title: Weka Neural Implementation
Utils() - Constructor for class weka.classifiers.neural.common.Utils
 

V

value(int) - Method in class weka.classifiers.neural.lvq.model.CodebookVector
 
valueOf(String) - Static method in enum weka.classifiers.immune.airs.algorithm.AIRS2ParallelTrainer.MERGE_MODE
Returns the enum constant of this type with the specified name.
values() - Static method in enum weka.classifiers.immune.airs.algorithm.AIRS2ParallelTrainer.MERGE_MODE
Returns an array containing the constants of this enum type, in the order they are declared.

W

weightDecayTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BackPropagation
 
weightDecayTipText() - Method in class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation
 
weka.classifiers.immune.affinity - package weka.classifiers.immune.affinity
 
weka.classifiers.immune.airs - package weka.classifiers.immune.airs
 
weka.classifiers.immune.airs.algorithm - package weka.classifiers.immune.airs.algorithm
 
weka.classifiers.immune.airs.algorithm.classification - package weka.classifiers.immune.airs.algorithm.classification
 
weka.classifiers.immune.airs.algorithm.initialisation - package weka.classifiers.immune.airs.algorithm.initialisation
 
weka.classifiers.immune.airs.algorithm.merge - package weka.classifiers.immune.airs.algorithm.merge
 
weka.classifiers.immune.airs.algorithm.samplegeneration - package weka.classifiers.immune.airs.algorithm.samplegeneration
 
weka.classifiers.immune.clonalg - package weka.classifiers.immune.clonalg
 
weka.classifiers.immune.immunos - package weka.classifiers.immune.immunos
 
weka.classifiers.neural.common - package weka.classifiers.neural.common
 
weka.classifiers.neural.common.initialisation - package weka.classifiers.neural.common.initialisation
 
weka.classifiers.neural.common.learning - package weka.classifiers.neural.common.learning
 
weka.classifiers.neural.common.training - package weka.classifiers.neural.common.training
 
weka.classifiers.neural.common.transfer - package weka.classifiers.neural.common.transfer
 
weka.classifiers.neural.lvq - package weka.classifiers.neural.lvq
 
weka.classifiers.neural.lvq.algorithm - package weka.classifiers.neural.lvq.algorithm
 
weka.classifiers.neural.lvq.event - package weka.classifiers.neural.lvq.event
 
weka.classifiers.neural.lvq.initialise - package weka.classifiers.neural.lvq.initialise
 
weka.classifiers.neural.lvq.model - package weka.classifiers.neural.lvq.model
 
weka.classifiers.neural.lvq.neighborhood - package weka.classifiers.neural.lvq.neighborhood
 
weka.classifiers.neural.lvq.topology - package weka.classifiers.neural.lvq.topology
 
weka.classifiers.neural.lvq.vectordistance - package weka.classifiers.neural.lvq.vectordistance
 
weka.classifiers.neural.multilayerperceptron - package weka.classifiers.neural.multilayerperceptron
 
weka.classifiers.neural.multilayerperceptron.algorithm - package weka.classifiers.neural.multilayerperceptron.algorithm
 
weka.classifiers.neural.singlelayerperceptron - package weka.classifiers.neural.singlelayerperceptron
 
weka.classifiers.neural.singlelayerperceptron.algorithm - package weka.classifiers.neural.singlelayerperceptron.algorithm
 
weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute
 
WekaAlgorithmAncestor - Class in weka.classifiers.neural.common
Title: Weka Neural Implementation
WekaAlgorithmAncestor() - Constructor for class weka.classifiers.neural.common.WekaAlgorithmAncestor
 
WidrowHoff - Class in weka.classifiers.neural.singlelayerperceptron
Title: Weka Neural Implementation
WidrowHoff() - Constructor for class weka.classifiers.neural.singlelayerperceptron.WidrowHoff
 
WidrowHoffAlgorithm - Class in weka.classifiers.neural.singlelayerperceptron.algorithm
Title: Weka Neural Implementation
WidrowHoffAlgorithm(TransferFunction, double, RandomWrapper, LearningRateKernel, Instances) - Constructor for class weka.classifiers.neural.singlelayerperceptron.algorithm.WidrowHoffAlgorithm
 
windowSizeTipText() - Method in class weka.classifiers.neural.lvq.Lvq2_1
Window size tool tip
windowSizeTipText() - Method in class weka.classifiers.neural.lvq.Lvq3
Window size tip

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