Index (GINNet 2.5.2 JavaDoc)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Classes All Packages

A

a - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Bond: The node placed at the origin of the bond
a - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: The input population
a - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection: The pre-synaptic neuron (unit placed at the origin of this connection)
a - Variable in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph
AADTWAggregatingFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions: Aggregation based on Arcs Dynamic Time Warping.
AADTWAggregatingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction
AberrantDialog - Class in fr.loria.cortex.ginnet.gui.dialogs: AberrantDialog is the dialog used to find aberrant values.
AberrantDialog(GINNet, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog: Creates the dialog
abort() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread: Stops learning and that's all.
abs(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector: Compute the absolute value of each elements from a vector
abs(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector: Compute the absolute value of each elements from a vector
AbstractAggregatingFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions: Method to aggregate series, i.e. to estimate center/mean.
AbstractAggregatingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AbstractAggregatingFunction
AbstractClassificationMetaLearner - Class in fr.loria.cortex.ginnet.dynnet.metalearners: Classification meta supervised learner is a meta-learner aimed to perform a classification task.
AbstractClassificationMetaLearner(Entries, AbstractStoppingFunction, AbstractSampler, Combiner, Class) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractClassificationMetaLearner: Constructs a meta supervised learner.
AbstractClassificationMetaLearner(Entries, AbstractStoppingFunction, AbstractSampler, Combiner, Class, Random) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractClassificationMetaLearner: Constructs a meta supervised learner.
AbstractCommandablePanel - Class in fr.loria.cortex.ginnet.gui.commandpanels: AbstractCommandableTab is an abstract class for command panels that implement common command panel methods.
AbstractCommandablePanel(String) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandablePanel: Initialize comand panel.
AbstractCommandableTab - Class in fr.loria.cortex.ginnet.gui.tabs: An AbstractCommandableTab is a tab that has a command panel.
AbstractCommandableTab() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab: Initializes tab.
AbstractCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels: AbstractCommandPanel class describes the command panel (at the bottom of the screen).
AbstractCommandPanel(String) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel: Creates the command panel.
AbstractCompetitiveNetwork - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks: AbstractComptetitiveNetwork represents the base for Competitive Algorithms (implemented in NG, GNG, Kohonen, KMeans ...).
AbstractCompetitiveNetwork(AbstractLearningRateFunction, AbstractStoppingFunction, SimpleNumericEntries) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork: Creates an empty competitive network.
AbstractCompetitiveNetworkCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels: AbstractCompetitiveNetworkCommandPanel is the super class of all unsupervised network command panels.
AbstractCompetitiveNetworkCommandPanel(String) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel: Constructs the competitive network command panel.
AbstractCorpus - Class in fr.loria.cortex.ginnet.dynnet.corpus: AbstractCorpus class describes any corpus.
AbstractCorpus() - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
AbstractCorpusExporter - Class in fr.loria.cortex.ginnet.gui.corpusexporters: CorpusExporter provides an interface for corpus exportation depending on corpus type.
AbstractCorpusExporter(String) - Constructor for class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter: Constructs a corpus exporter interface.
AbstractCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy: This class defines common attribute and method for both evaluation and stopping criterion.
AbstractCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion
AbstractDataLoader - Class in fr.loria.cortex.ginnet.data: DataLoader is an abstract Class for Data Loader.
AbstractDataLoader() - Constructor for class fr.loria.cortex.ginnet.data.AbstractDataLoader
AbstractDecisionTree - Class in fr.loria.cortex.ginnet.dynnet.trees: DecisionTree class represents any decision tree.
AbstractDecisionTree(Entries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree: Constructs a decision tree with given patterns and type
AbstractDistanceFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions: DistanceFunction class represents any distance function of any competitive neural network.
AbstractDistanceFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction
AbstractEmbedded - Class in fr.loria.cortex.ginnet.dynnet.methods.management: This is the main class of variable's selection's methods of type embedded.
AbstractEmbedded(SupervisedMethod, AbstractStoppingCriterion, AbstractEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractEmbedded: Default constructor.
AbstractErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions: ErrorFunction class represents any error function of any neural network.
AbstractErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction
AbstractEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria: EvaluationCriterion Abstract class represents a evaluation criterion for any features set.
AbstractEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion
AbstractFeatureSelection - Class in fr.loria.cortex.ginnet.dynnet.methods.management: This is the super class of all the variable's selection's methods; i.e. filter, wrapper and embedded method's approach.
AbstractFeatureSelection(AbstractStoppingCriterion, AbstractEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection: Default constructor.
AbstractFileCorpus - Class in fr.loria.cortex.ginnet.dynnet.corpus: AbstractFileCorpus is the common class that describes corpus given from a file.
AbstractFileCorpus() - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
AbstractFilter - Class in fr.loria.cortex.ginnet.dynnet.corpus.filter: Abstract filter.
AbstractFilter(Entries, AbstractSimpleStoppingCriterion, AbstractSimpleEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter: Default constructor.
AbstractFSApproach - Class in fr.loria.cortex.ginnet.dynnet.methods.management: This is the main FeatureSelection's Class for the wrapper and embedded method's approach.
AbstractFSApproach(SupervisedMethod, AbstractStoppingCriterion, AbstractEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach: Default constructor.
AbstractInformationFunction - Class in fr.loria.cortex.ginnet.dynnet.trees.informationfunctions: AbstractInformationFunction evaluates quantity of information in a decision tree.
AbstractInformationFunction(Entries, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction: Creates an information function
AbstractKernelFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions: KernelFunction Abstract class represents a kernel function for Kohonen algorithm.
AbstractKernelFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction
AbstractLearningRateFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions: LearningRateFunction Abstract class represents a learning rate function for any neural network.
AbstractLearningRateFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction
AbstractMetaSupervisedLearner - Class in fr.loria.cortex.ginnet.dynnet.metalearners: Meta supervised learner is a data-mining method that learn how to learn from learners.
AbstractMetaSupervisedLearner(Entries, AbstractStoppingFunction, AbstractSampler, Combiner, Class) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner: Constructs a meta supervised learner.
AbstractMetaSupervisedLearner(Entries, AbstractStoppingFunction, AbstractSampler, Combiner, Class, Random) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner: Constructs a meta supervised learner.
AbstractMethodCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels: A command panel for any datamining method.
AbstractMethodCommandPanel(String, boolean, boolean) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel: Creates the method command panel
AbstractMethodCommandPanel.TestPatternSpinnerListener - Class in fr.loria.cortex.ginnet.gui.commandpanels: This KeyListener allows test patterns spinner to be key edited.
AbstractMethodTab - Class in fr.loria.cortex.ginnet.gui.tabs: AbstractMethodTab is the super class of any datamining method tab.
AbstractMethodTab(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.AbstractMethodTab: Creates an inactive method tab.
AbstractModelEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria: This class defines a criterion which evaluate a supervised model like perceptron or decision tree
AbstractModelEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractModelEvaluationCriterion
AbstractModelStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria: This class define criterion which compare an evaluation of the model and a value compute with model's parameter.
This kind of criterion are used for classification or regression.
AbstractModelStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion
AbstractNetworkCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels: AbstractNetworkCommandPanel is the super class of all network command panels.
AbstractNetworkCommandPanel(String) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel: Performs basic initializations :
- Assigns network variable
- Calls initialize() to initialize graphical elements
- Calls listUpdated() to initialize patterns
AbstractNetworkCreationDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs: This dialog is the super class of all network creation dialogs.
AbstractNetworkCreationDialog(Patterns, String, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog: Constructs a network creation dialog
AbstractNetworkView - Class in fr.loria.cortex.ginnet.gui.tabs.network: AbstractNetworkView is a panel displaying any network with a graphical representation.
AbstractNetworkView(AbstractNeuralNetwork) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView: Constructs a network view.
AbstractNeuralNetwork - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks: A neural network.
AbstractNeuralNetwork(AbstractLearningRateFunction, AbstractStoppingFunction, NumericEntries) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork: Constructs a neural network.
AbstractOBD - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded: Abstract class that regroups comportment shared by all Optimal Brain Damage-like pruning algorithms, for connection or neuron pruning of Perceptron models.
AbstractOBD(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: Default constructor.
AbstractOBD(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion, short, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: Complete constructor.
AbstractSaliencyEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria: AbstractSaliencyEvaluationCriterion abstract class concerns model evaluation criteria whose evaluation method are based on saliency computation.
AbstractSaliencyEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion
AbstractSampler - Class in fr.loria.cortex.ginnet.dynnet.metalearners: A sampler creates n learners, sample patterns and distribute them to sub-learners.
AbstractSampler() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler
AbstractSigmaFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions: Kernel function that need an initial and a final value for Sigma.
AbstractSigmaFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractSigmaFunction
AbstractSimpleEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria: This class defines a criterion which evaluate variable set as entries or corpus for example.
AbstractSimpleEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractSimpleEvaluationCriterion
AbstractSimpleStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria: This class defines stopping criterion which compare two evaluations.
AbstractSimpleStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion
AbstractStatsTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels: AbstractStatsTableModel is a model for stats table.
AbstractStatsTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel
AbstractStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria: StoppingCriterion Abstract class represents a criterion to stop the search of a better relevant features sub-set.
AbstractStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion
AbstractStoppingFunction - Class in fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions: StoppingFunction Abstract class represents a stopping criterion for any stoppable data-mining method.
AbstractStoppingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction
AbstractStrategy - Class in fr.loria.cortex.ginnet.dynnet.utils.strategy: AbstractStrategy describes an abstract class whose sub classes define different strategies.
AbstractStrategy() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.strategy.AbstractStrategy
AbstractSupervisedNetwork - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks: SupervisedNetwork class represents a supervised network, like Perceptron.
AbstractSupervisedNetwork(AbstractLearningRateFunction, AbstractStoppingFunction, NumericEntries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork: Creates an empty supervised network
AbstractTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions: TopologyFunction Abstract Class represents a topology function.
AbstractTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction
AbstractTransferFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions: TransferFunction class describes any transfert functions of any unit.
AbstractTransferFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction
AbstractWrapper - Class in fr.loria.cortex.ginnet.dynnet.methods.management.wrapper: This is the main class of variable's selection's methods of type wrapper.
AbstractWrapper(SupervisedMethod, AbstractModelStoppingCriterion, AbstractModelEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper: Default constructor.
accept(IVisitorCorpus) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus: Accepts a Corpus visitor
accept(IVisitorCorpus) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
accept(IVisitorCorpus) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
accept(IVisitorCorpus) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
accept(IVisitorGNG) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG: Visitor pattern implementation
accept(KMeansIVisitor) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans: Accepts a visitor pattern
accept(IVisitorKohonen) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen: Visitor pattern implementation
accept(IVisitorNG) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas: Visitor pattern implementation
accept(IVisitorPerceptron) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Visitor pattern implementation
accept(File) - Method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileFilter: Tests whether or not the specified abstract pathname should be included in a pathname list.
accept(File) - Method in class fr.loria.cortex.ginnet.gui.MyFilter: Accept all directories and all gif, jpg, tiff, or png files.
accept(File) - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab.HTMLFilter
ACCEPTED_ERROR - Static variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel: Percentage of error accepted for predictions of a regressive method
accumulator - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNGNode: Sum of all errors made by this node, used to determine where to add a new prototype
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter: Creates and add corpus to main interface.
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.CheckBoxValider: Called when the users clicks on a token checkbox
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.DataMenu: Called when the user choose a menu item
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.GINNet: Called when the user choose an option in a menu or clicks in a button
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab: Called when the user clicks on a menu item
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab: Called when the user clicks on a menu item
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab: Called when the user choose an item in the Network menu
actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab: Called when the user choose an item in the Network menu
actionPerformed(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab: Performs a command.
actionPerformed(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab: Performs a command.
activate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation: Computes the output value of each unit as the result of the transfer function on the input value
activate(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractMethodTab: Updates model activity, also in GUI.
activate(PrunableComponent, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper: Activates the specified variable (activates all the linked connection, and the specified neuron) of the model.
activateAndBackupLastModelState(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper: Activates the specified variable (activates all the linked connection, and the specified neuron), after having backup the model.
activatedInputs - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Simple toogle for each input, to activate/desactivate it independantly.
activateMethod(AbstractMethodTab, boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNet: Updates a model activity state and GUI.
activateUnit(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation
activateUnit(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation
activateVariable(NeuronUnit, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Activates the specified variable (activates all the linked connection, and the specified neuron).
active - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
active - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph: False if neuron is desactivated
active - Variable in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab
AdaBoost - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting: AdaBoost (ADAptative BOOSTing) is a probabilistic boosting method.
AdaBoost() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoost: Creates a default AdaBoost unusable as is, because it contains no patterns.
AdaBoost(Entries, Class) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoost: Constructs an AdaBoost meta-learner.
AdaBoostSamplerAndCombiner - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting: AdaBoostSamplerAndCombiner implements AdaBoost algorithm for sampling and combinaison.
AdaBoostSamplerAndCombiner() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner: Constructs an AdaBoost sampler and combiner.
adapt(Node, float, float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation: Updates the node prototype.
AdaptativeLearningRateFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions: AdaptativeLearningRateFunction class represents a learning rate function for any neural network which is adapted to the variation of the error of the neural network.
AdaptativeLearningRateFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction: Constructs an adaptative learning rate function with type "Adaptative"
adaptee - Variable in class fr.loria.cortex.ginnet.gui.data.CheckBoxValider: The adaptee
add(double[][], double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix: Returns the sum of two matrix
add(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector: add two vectors
add(float[][], float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix: Returns the sum of two matrix
add(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector: add two vectors
add(int, NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation: Adds a unit to this population
add(int, NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation: Adds a unit to this population
add(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach: Adds the specified element to the model's structure.
add(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper: Adds the specified element to the model's structure.
add(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: Adds the specified element to the model's structure.
add(SelectedConnection) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.management.ConnectionPruner: Adds a selected connection to the model.
add(SelectedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: Adds a selected connection to the model.
add(SelectedNeuron) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.management.NeuronPruner: Adds a selected neuron to the model.
add(SelectedNeuron) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper
add(SelectedNeuron) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: Adds a selected neuron to the model.
add(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: Adds a connection
addABias() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: Adds a bias to this projection.
addArc(String, TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode: Adds an arc between the Node and a children Node
addColumn(Object, short, String, int) - Method in class fr.loria.cortex.ginnet.data.Data: Adds a new column in the data
AddColumnDialog - Class in fr.loria.cortex.ginnet.gui.dialogs: AddColumnDialog is a common menu used to add column into Dataobjects.
AddColumnDialog(GINNet, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog: Creates the dialog
addConnection(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: Adds a connection to this projection.
addConnection(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation: Adds a connection.
addData(Data) - Method in class fr.loria.cortex.ginnet.gui.GINNet: Adds a TabData to the tabs
addEditorForRow(int, TableCellEditor) - Method in class fr.loria.cortex.ginnet.gui.data.RowEditorModel: Add a TableCellEditor for the specified row
addingValue - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction: Value to add if the error of the network has been reduced at the previous time
addInput(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation: Adds the input field of each unit to a value in 'pattern'
addLabel(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
addLabel(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
addLabel(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
addLabel(String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns: Adds a new label to list of all labels or does nothing if this label already exist.
addLineAtPosition(Vector, boolean, int) - Method in class fr.loria.cortex.ginnet.data.Data: Adds a new line to the data
addMessage(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter: Concatenates given message to current trace message.
addMessage(String) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper: Adds a message to task progress message.
addNeurons(NeuronGraph) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph: Adds a GraphNeuron to the GraphLayer
addNeuronUnit(int, NeuronUnit, int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Adds a neuron unit to given population at given position.
addNode(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation: Add a node to the population
addPattern(short, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
addPattern(short, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
addPattern(short, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns: Adds a pattern.
addPoint(int, Float) - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph: Adds a point to a serie
addPopulation(SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork: Inserts a population
addProbability(Float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode: Adds this probability for the children nodes
addProjection(Projection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork: Adds a projection.
addPrunedVariable(String) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper: Adds a new pruned variable to pruned variable list.
addResult(ResultsTab) - Method in class fr.loria.cortex.ginnet.gui.GINNet: Adds results tab if necessary
addRow(int, boolean) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel: Adds a row to the Data object
addSymbolInColumn(String, int) - Method in class fr.loria.cortex.ginnet.data.Data: adds a Symbol In a Column and chek if it is already in the hashtable, if not, it create a new entry
addTab(String, Component) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose: Adds a tab.
addTab(String, Component, Icon) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose: Adds a tab.
addTarget() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
addTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
addTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
addTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
addTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
addTarget(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns: Adds a new target column.
addTarget(int, String) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel: Adds a target column
addTree(TreeNodeGraph, TreeNode) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView: Recursively creates graphical nodes
addValue(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection: Adds given value to the current value of the current supervised connection.
age - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Bond: The age of the bond
aggregatingFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation: Aggregating function
aggregatingFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel: Panel where to select which aggregating function to use
AkaikeEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria: This class computes the Akaike Information Criteria (AIC).
AkaikeEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion: Create an evaluation criterion of type Akaike
alpha - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
alpha - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion: parameter which determine an important correlation
alpha - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion: Alpha of Fisher test computation.
alpha - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion: le alpha du calcul du test de fisher.
alpha - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
alpha_itemStateChanged(ItemEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog: Called when the state of the "alpha" checkbox changes
alpha1 - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
alphatxt - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
alreadyDisplayed - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
alreadyDisplayed - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
alreadyPositionned - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI: Used to know if Percptron has already been positionned or not
answer - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
ANSWER_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel: Foreground color of a sub-learner answer displayed in sampler panel
appendFiles(File, File, String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods: Appends lines of the two given files.
applyChanges() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel: Applies the changes made to the targets into the corpus
Arcing - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing: Arcing (Adaptatively Resample and Combine) is a probabilistic learning method.
Arcing() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.Arcing: Creates a default Arcing unusable as is, because it contains no patterns.
Arcing(Entries, Class) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.Arcing: Constructs an Arcing meta-learner.
ArcingSampler - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing: ArcingSampler implements AdaBoost algorithm for sampling.
ArcingSampler() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler: Constructs an Arcing sampler and combiner.
arcNotFound - Variable in exception fr.loria.cortex.ginnet.dynnet.trees.NoClassPredictedException: Value of the arc which hasn't been found in decision tree and that causes exception
arcs - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode: The list of its children
Attribute - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns: Attribute is an object representing an attribute.
Attribute() - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute
attributeButtons - Variable in class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog: Array of attribute check boxes (Each symbolic attribute correspond to a check box)
attributeButtons - Variable in class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog: Array of attribute check boxes (Each attribute correspond to a check box)
attributeIndex - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode: The index of the attribute or (for a leaf) the index of the class of this node
attributeName - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode: The name of the attribute or (for a leaf) the name of the class of this node
attributeNames - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
attributes - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl: Matrix of input data, line = pattern and column = attribute, represented by an ArrayList of ArrayList of Attribute
attributes - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.ForecastCorpusExporter: Attribute indexes associated to check boxes
Attributes - Interface in fr.loria.cortex.ginnet.dynnet.corpus.patterns: Attributes is an interface that regroups all operations on pattern attributes.
attributesToNumerize - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel: List of symbolical attributes to numerize
attributeToTransform - Variable in class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog
attributeTypes - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl: Types of all attributes
attributeTypes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
autocode - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
autocode_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog: Called when the users clicks on "auto recode" button
AutoOBDDialog - Class in fr.loria.cortex.ginnet.gui.dialogs: TargetDialog is the "recode target" dialog.
AutoOBDDialog(GINNet, Vector) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog: Constructor
autoTarget() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel: Resets target to default coding
auxlast - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
auxPopupMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
auxTable - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab: Auxiliary table (for labels & target)
AuxTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels: AuxTableModel class describes table model for the second table (targets and labels).
AuxTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel: Create an empty table model
AuxTableModel(AbstractFileCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel: Create an auxiliary table model
auxTableScroll - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab: Auxiliary table scroller (for labels & target)
average(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: Computes the average value of a vector of double
average(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: Computes the average value of a vector of float
averages - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl: Array of averages for all attributes
averages - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries

B

b - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Bond: The node placed at the end of the bond
b - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: The output population
b - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection: The post-synaptic neuron (unit placed at the end of this connection)
b - Variable in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph
backGround - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
BACKGROUND_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph: Background color of the panel
BACKGROUND_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab: Backgroung color
backgroundGraphics - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI: Background Graphics object
backgroundImage - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI: Background image
backPropagate(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Back propagates the error.
backpropagateComboBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
backtrackPhi(float[], float[], Coordinate[][], ArrayList, int, int, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction: Backtrack "phi" to builds "arcs" the list of arcs.
backup - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias: Backup value of the winner value
backupDelta - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection: Backup value of delta of connection
backupError - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: The test error of the best network saved
backupInitialModelState() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach: Backups the first saved model's state from the pseudo-stack.
backupLastModelState() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach: Backups the last saved model's state from the pseudo-stack.
backupValue - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection: Backup value of connection
BACKWARD_SEARCH - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion
BackwardFilter - Class in fr.loria.cortex.ginnet.dynnet.corpus.filter: This class generates a method backward for variable selection on corpus.
BackwardFilter(Entries, AbstractSimpleStoppingCriterion, AbstractSimpleEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter: Constructor.
BackwardWrapper - Class in fr.loria.cortex.ginnet.dynnet.methods.management.wrapper: This is the class which implements the Backward search's method as a wrapper method (which means that it works on the model, instead of on the data as it is the case for the BackwardFilter.
BackwardWrapper(Perceptron, AbstractModelStoppingCriterion, AbstractModelEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper: Default constructor.
BAD_ANSWER - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel: Foreground color of a wrong answer displayed in result panel
Bagging - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging: Bagging is a boostrap implementation.
Bagging() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging: Creates a default Bagging unusable as is, because it contains no patterns.
Bagging(Entries, Class, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging: Instanciates a Bagging with default parameters:
- a default TimeStoppingFunction
- a Bagging sampler
- a majority vote combiner
BaggingSampler - Class in fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging: BaggingSampler sample patterns using boostrap.
BaggingSampler() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler: Creates a sampler for bagging.
BarChart - Class in fr.loria.cortex.ginnet.gui: BarChart is a chart component
BarChart() - Constructor for class fr.loria.cortex.ginnet.gui.BarChart
BarChartDialog - Class in fr.loria.cortex.ginnet.gui.dialogs: BarChartDialog is a dialog used to create chart for numerical data.
BarChartDialog(GINNet, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog: Builds the dialog
batch - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork: Boolean set at true for off-line training and false for on-line
Off-line training is not available for all kind of networks
BEFORE_PRUNING - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD: No pruning action done yet, only initialization
betacf(double, double, double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: TODO comment this method
betacf(float, float, float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: TODO comment this method
betai(double, double, double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: TODO describe this function
betai(float, float, float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath: TODO describe this function
betas - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner: Beta values affected to all learners
bg - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
bg - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
bias - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron: Boolean set at true if a bias should be used
bias - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection: The additive unit equals to 1
bias - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer: Weights of the bias of this layer, for each output neuron, or null if this layer has no bias
bias - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
bias - Variable in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph
bias - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph: Tells if this neuron is bias or not
bias - Variable in class fr.loria.cortex.ginnet.gui.graphs.PerceptronLayerGraph: Associated Bias, if any
Bias - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks: Bias.
Bias() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias
BIAS_SPACE - Static variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView: Space allowed for bias neurons in Perceptron view
BIG - Static variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel: Big size of the bottom command panel
BINARY_SAVE_COMMAND - Static variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab: Command name for binary save button
BINARY_SAVE_COMMAND - Static variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
BINARY_SAVE_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab: Tool tip for binary save button
BINARY_SAVE_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
BinaryFileDataLoader - Class in fr.loria.cortex.ginnet.data: BinaryFileDataLoader is a class implementation for BinaryFileDataLoader.
BinaryFileDataLoader(String) - Constructor for class fr.loria.cortex.ginnet.data.BinaryFileDataLoader: Constructs the class
bind(Node, Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology: Binds two units using the function createBond()
bold - Variable in class fr.loria.cortex.ginnet.gui.ColorCellRenderer
Bond - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks: A Bond is a topological link between neighbor units.
Bond() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Bond: Constructs an empty bond.
Bond(Node, Node) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Bond: Constructs a bond between two nodes.
bondAgeMax - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
bonds - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology: List of bonds
Bootstrap - Class in fr.loria.cortex.ginnet.dynnet.metalearners.samplers: This class gives static access to boostrap sampling method.
Bootstrap() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.samplers.Bootstrap
BORDER - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI: Size of the border of the drawing square
BORDER_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubPanel: Line color of the sub-panels borders
border1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
border1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
border1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
borderLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
borderLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
borderLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
borderLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
borderLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
borderLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
borderPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
BOTTOM_SPACE - Static variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView: Space added at the bottom of a network view
bottommargin - Static variable in class fr.loria.cortex.ginnet.gui.BarChart: Bottom margin, in pixels
bottommargin - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph: Bottom margin, in pixels
br - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
browse() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel: Open directory chooser dialog and set path if approved.
btnAddLayer - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
btnAddLayer_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog: Called when the user clicks on the 'add layer' button
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
btnCancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard: Called when the user clicks on the "cancel" button.
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog: Called when the users clicks on "Cancel"
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog: Called when the user clicks on the "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog: Called when the users clicks on "Cancel"
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog: Called when the user clicks on "cancel"
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog: Called when the user clicks on "cancel" button
btnCancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog: Called when the user clicks on "cancel" button
btnFind - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
btnFind - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
btnFind_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog: Called when the users clicks on "find" button
btnFind_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog: Called when the user clicks on the "find" button
btnNext - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
btnNext - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
btnNext - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
btnNext_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard: Called when the user clicks on the "next" button Goes to the next page of the wizard
btnNext_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard: Called when the user clicks on the "next" button Goes to the next page of the wizard
btnNext_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog: Called when the user clicks on "next" button
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
btnOK - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog: Called when the users clicks on "OK"
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog: Called when the user clicks on "ok" button
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog: Called when the user clicks on "OK" button
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog: Called when the user clicks on "ok" button
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog: Called when the users clicks on "OK"
btnOK_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog: Called when the user clicks on "ok" button
btnPrev - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
btnPrev - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
btnPrev - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
btnPrev_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard: Called when the user clicks on the "previous" button Goes to the previous page of the wizard
btnPrev_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard: Called when the user clicks on the "previous" button.
btnPrev_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog: Called when the user clicks on "previous" button
btnRemoveLayer - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
btnRemoveLayer_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
btnReplace - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
btnReplace_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog: Called when the user clicks on the "replace" button
btnReplace_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog: Called when the user clicks on "replace" button
btnRun - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
btnRun_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel: Called when the user clicks on "run" button
btnTest - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
btnTest_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel: Called when the user clicks on "test" button
btnValid - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
btnValid - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
btnValid_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard: Called when the user clicks on the "cancel" button.
btnValid_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard: Called when the user clicks on the "Done" button.
BubbleKernelFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions: KernelFunctionBubble class represents a kernel function using Bubble.
BubbleKernelFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.BubbleKernelFunction: Creates a kernel function with "Bubble" name
BUFFER_SIZE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker: Buffer size
bufferGraphics - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph: Graphic contect of the Image
bufferImage - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph: Image in which we draw the graph
build(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree: Runs an execution of decision tree algorithm
build(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45: Launchs the C4.5 algorithm and build tree.
build(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART: Launchs the CART algorithm
build(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3: Starts the ID3 algorithm and build tree.
build(JFrame) - Method in class fr.loria.cortex.ginnet.gui.GINNet: Create the main panel
buildConstraints(GridBagConstraints, int, int, int, int, int, int) - Static method in class fr.loria.cortex.ginnet.gui.GINNet: Allows to make the panneling easier This method comes from the book "Java 2" (Laura Lemay & Rogers Cadenhead)
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab
buildMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
buildMenus() - Method in class fr.loria.cortex.ginnet.gui.GINNet: Build the menus for the window
buildMenus() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
buildMenus(GINNet) - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab
buildMenus(GINNet) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab
buttonGroupAlgo - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
buttonGroupTest - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
buttonPanel - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter: Buttons panel
buttonsPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
buttonsPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.PatternSeparationDialog: Panel containing OK and Cancel buttons





C

c - Variable in class fr.loria.cortex.ginnet.gui.data.DBImportTableRenderer
 
c - Variable in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph
 
c - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Associated corpus

C45 - Class in fr.loria.cortex.ginnet.dynnet.trees.models

C45 class is an implementation of C4.5 algorithm.

C45(Entries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Constructs a C4.5.

C45RadioButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
calcMinMax() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Calculates the minimum and maximum value of the neuron in this layer
 (used to determinate GraphNeuron colors)

callConnection(DBConnection) - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Sets the connection with initials parameter (given to the constructor)

cancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
cancel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
cancel() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Closes dialog.

cancel() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Called when the user clicks on "cancel".

cancel() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.PatternSeparationDialog

Called when the user clicks on "Cancel"

cancel() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Close dialog.

Cancel - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
cancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog

Called when the users clicks on "cancel" button

cancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog

Called when the users clicks on "cancel" button

Cancel_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard

Called when the user clicks on the "cancel" button.

cancelButton - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter

Cancel button

cancelButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
cancelButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
cancelButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Called when "Cancel" button is pressed.

cancelButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetCommentDialog

Called when "Cancel" button is pressed.

canComputeConfidence() - Method in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Tells if ConfidenceComputer can compute confidence informations or not.

canContinue() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Tells if pruning method can continue pruning or not.

cardinalities(int[], int, int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

If attribute is continue, computes the total cardinality values of the 2 childs nodes
 according to the specific splitValue

cardLayout1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
cardLayout1 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
cards - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
cards - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
CART - Class in fr.loria.cortex.ginnet.dynnet.trees.models

CART class is the implementation for CART decision tree algorithm.

CART(Entries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Initializes the CART Algorithm for the Gini information function

CART(Entries, boolean, double, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Initializes the CART Algorithm for the Gini information function

cartRadioButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
CategorizationCorpus - Class in fr.loria.cortex.ginnet.dynnet.corpus

CategorizationCorpus describes any corpus whose task is to categorize data.

CategorizationCorpus(int, String, int, String[], short[], Hashtable[], ArrayList) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Constructs a corpus from datas.

CategorizationCorpus(String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Construct a corpus for categorization, with type "Categorization", from one file.

CategorizationCorpus(String, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Constructs a corpus for categorization, with type "Categorization", from 2 files.

CategorizationCorpusExporter - Class in fr.loria.cortex.ginnet.gui.corpusexporters

CategorizationCorpusExporter provides an interface for categorization corpus exportation.

CategorizationCorpusExporter() - Constructor for class fr.loria.cortex.ginnet.gui.corpusexporters.CategorizationCorpusExporter

Constructs an exporter for categorization corpus.

categorizationRadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
cbIn - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
ch - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Width and height of the current layer

changeTitle(String) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel

Updates the label that display the title of the command panel

chart - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.DataCommandPanel

Bar chart used for statistics

CheckBoxValider - Class in fr.loria.cortex.ginnet.gui.data

Action Listener for tokens checkboxes

CheckBoxValider(ImportWizard) - Constructor for class fr.loria.cortex.ginnet.gui.data.CheckBoxValider

Creates a CheckBoxValider

checkLearnButton() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
checkLearnButton() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Checks if learn button should be enable or not and display its state.

checkPage() - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard

Checks the current page and enable/disable wizard buttons based on it.

checkPage() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Checks the current page and enable/disable wizard buttons based on it.

checkSeparators() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Verifies that column separator and decimal separator doesn't match.

children - Variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Vector containing all the children of the node

choicePanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
choicePanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Meta learner choice panel

class1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
class2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
classes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
CLASSIFICATION_TASK - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

Defines constant to difference classification and regression task

ClassificationCorpus - Class in fr.loria.cortex.ginnet.dynnet.corpus

ClassificationCorpus describes any corpus aimed to classify.

ClassificationCorpus(int, String, int, String[], short[], Hashtable[], ArrayList) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Constructs a classfication corpus from given Data object

ClassificationCorpus(String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Creates a new classification corpus from given file with type "Classification".

ClassificationCorpus(String, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Constructs a classification corpus from 2 files

ClassificationCorpusExporter - Class in fr.loria.cortex.ginnet.gui.corpusexporters

CategorizationCorpusExporter provides an interface for categorization corpus exportation.

ClassificationCorpusExporter() - Constructor for class fr.loria.cortex.ginnet.gui.corpusexporters.ClassificationCorpusExporter

Constructs an exporter for categorization corpus.

classificationErrorFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Classification error function used to compute misclassification error
 for classification network

ClassificationErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

ClassificationErrorFunction is an error function made for classification networks.

ClassificationErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.ClassificationErrorFunction

Creates a new error function of type "Classification"

ClassificationMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface describes common points of all classification methods.

classificationRadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
classifrate - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
classifrate_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Called when the state of the classification rate slider change

classIndex - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Index of the default class to predict

className - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Name of the class representing current model

classNames - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The different class names of this node

classOfNode - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Each Competitive Algorithm use a specific class representing a node of the Population.

classProportions - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The class proportions of this node (in the same order as classNames)

clean() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Reset all attributes and delete all temporary files or directories.

clear() - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph

Clears the series

clear() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Resets the table : put 0 in every cell

clear() - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Clears result panel.

clear() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Clears combiner panel: removes all sub learners and redisplays empty panel.

clear() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Clears meta-learner view.

clear() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Clears all result informations from this panel.

clear() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Clears sampler panel: removes all sub learners and redisplays empty panel.

clear() - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Clears image.

clearAll() - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Undisplays all graphical elements.

clearAll() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Undisplays all graphical elements.

clearAllColumn() - Method in class fr.loria.cortex.ginnet.data.Data

Empties the data in the arraylist,

clearButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Button to clear graph

clearGraph() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Called when the uset clicks on the "clear" button

clearLabels() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Clear labels associated with each node of the output population.

clearPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
clearPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
clearPatterns(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Removes all patterns of given type.

clearPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
clearPatterns(short) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Clear all patterns of given type.

clearPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
clearPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
clearPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
clearPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
clearResult() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Clears results and Results tab.

clickGraphNeuron(int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.PerceptronLayerGraph

Called when the user clicks on a GraphNeuronUnit to view its connections

close() - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Closes meta-learner tab and attached tabs.

close() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Closes network tab.

close() - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Closes tree tab

closed - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
closeDialog() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Closes OBD dialog if there is an open one.

CloseTabIcon - Class in fr.loria.cortex.ginnet.gui

The class which generates the 'X' icon for the tabs.

CloseTabIcon(Icon) - Constructor for class fr.loria.cortex.ginnet.gui.CloseTabIcon

Constructor.

ClusteringMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface describes common points of all clustering methods.

COF - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath
 
cofactor(double[][], int, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

TODO describe this methods

cofactor(float[][], int, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

TODO describe this methods

col - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
colmargin - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

Space between histograms, in pixels

colmargin - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Space between histograms, in pixels

COLOR_PANEL_DIMENSION - Static variable in class fr.loria.cortex.ginnet.gui.commandpanels.CorpusCommandPanel

Dimension of the colored flag in the legend

ColorCellRenderer - Class in fr.loria.cortex.ginnet.gui

ColorCellRenderer class describes renderer for every table in the main window.

ColorCellRenderer(boolean) - Constructor for class fr.loria.cortex.ginnet.gui.ColorCellRenderer

Creates a ColorCellRenderer

cols - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Number of columns

cols - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Number of columns

colTitle - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Titles of columns

colTitle - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Columns titles

colTitle - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Titles of the columns

colTitle - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Column titles

colTitle - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Title of the columns

columnAdded(TableColumnModelEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Not implemented

columnIndex - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
columnMarginChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Not implemented

columnMoved(TableColumnModelEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Called when a column is moved.

columnRemoved(TableColumnModelEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Not implemented

columns - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.ForecastCorpusExporter

Columns to export

columnSelectionChanged(ListSelectionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Not implemented

columnType - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
combinate(SingleSupervisedLearner[], int) - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.Combiner

Combinate given learners on given pattern.

combinate(SingleSupervisedLearner[], int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner

Final result is the result predicted most often

combinate(SingleSupervisedLearner[], int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

C*(x) = arg max (y in Y) Sum (log 1/Beta(i)) of i:Ci(x)=y

combiner - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Combiner of the meta-learner that combine sub-learners result to compute the group answer

Combiner - Interface in fr.loria.cortex.ginnet.dynnet.metalearners

Combiner provides an interface for all combining methods.

combinerPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
CombinerPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning.combining
 
CombinerPanel() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Creates an empty combiner panel.

ComboEditor - Class in fr.loria.cortex.ginnet.gui.tabs

Editor for symbolical data

ComboEditor(JComboBox) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.ComboEditor

Creates a ComboEditor using the specified Combo Box

comboTarget - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
comma - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader

Boolean set at true if decimal format uses a comma as a separation
  and false if it uses normal format (with a dot as separator)

commaDecimalRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Radio button telling if float use a comma to separate interger and decimal parts

command - Variable in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Text of the command that caused this exception
 or null if it is not a command that caused this exception

commandpane - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel
 
commandPanel - Variable in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab
 
commaRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
comment - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Comments on corpus

comment - Variable in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter
 
COMMENT - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

First character of comment lines

commentArea - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

TextArea where comment is edited

commentArea - Variable in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetCommentDialog

TextArea where comment is edited

commentMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
compare(Object, Object) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Method for SORT (Interface Comparator)

compareTo(Object) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Compares this selected connection's saliency to another one.

compareTo(Object) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Compares this selected neuron's saliency to another one.

CompetitiveNetworkVisitor - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks

CompetitiveNetworkVisitor implements visitor design pattern for any competitive network.

CompetitivePopulation - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks

CompetitivePopulation class represents a Population for competitive learning.

CompetitivePopulation(int, int, AbstractDistanceFunction, AbstractAggregatingFunction, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Class Constructor

COMPILE_PROGRESS - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Progress value when starting compilation

compute() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion
 
compute() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion
 
compute(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer

Compute outputs for this layer.

compute(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Computes the information function.

compute(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Computes the value of the mutual information

compute(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Gini

Computes the value of the index of impurity by Gini

compute(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Computes the value of the index of impurity by Variance

compute(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Computes the information function.

compute(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Computes the value of the index of impurity by Variance

compute(Vector) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Computes the information function.

computeBestsAttributesGains(int[], int, int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Computes gains as CART needs to do

computeBeta(float) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Computes beta for a learner.

computeContinueAttributeBest_Gain_and_splitLimit(int[], int, int, TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Computes the best split limit for a continue attribute

computeDeltas(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Compute delta and delta2 values for current studied pattern.

computeDeltas1(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Computes delta value of each unit in the perceptron.

computeDeltas2(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Computes delta2 values of each units in the perceptron.

computeDifference(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction

Substracts obtained outputs from desired outputs.

computeDistance(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction

Computes the distance function on all outputs.

computeDistance(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction

Computes the distance function on all outputs.

computeDistance(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction

Computes the distance function on all outputs.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction

Computes the error function on all outputs.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.ClassificationErrorFunction

Computes if there is a difference between the desired class and the predicted class.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.CrossEntropyErrorFunction

Computes the cross-entropy error function.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.LikelihoodErrorFunction

Computes the likelihood error function.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.MSEErrorFunction

Computes the mean of the square errors (between Di and Yi).

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

Computes the ratio between the variance of the differences (between Di and Yi) and the variance of the desired values.

computeError(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.SEErrorFunction

Computes for the current pattern the patial term of the sum of square error.

computeError(SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Compute error of a learner.

computeError(SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Compute error of a learner.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction

Computes the error function for each output.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.ClassificationErrorFunction

Computes if there is a difference between the desired value and the output value for each output.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.CrossEntropyErrorFunction

Computes the cross-entropy error for each ouput.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.LikelihoodErrorFunction

Computes the likelihood error function for each output.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.MSEErrorFunction

Computes the square error (between Di and Yi) for each output.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

Computes the root mean square error Computes the sum of square error function for each output.

computeErrors(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.SEErrorFunction

Computes the sum of square error for each output.

computeErrors(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Compute errors for a pattern.

computeExponentialWeight(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
computeGain(int[], int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Computes gain.

computeGain(int[], int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Computes the Gain with the Entropy information function for the split of one attribute's values.

computeGain(int[], int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Gini

Computes the Gain with the Gini information function for the split of one attribute's values.

computeGain(int[], int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Computes the Gain with the Variance information function for the split of one attribute's values.

computeGain(Vector, Vector, TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Computes gain.

computeGains(int[], int, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Computes gains

computeHypotenuse(double, double) - Static method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Computes hypotenuse

computeLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Computes learn error (after all learnin,g cycles have been done).

computeLinearWeight(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
computeMean(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Computes the mean of a set of values

computeMean(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Computes the mean of a set of values

computeMeanCoordinates(ArrayList) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction

Computes the list of mean coordinates.

computeMeanD(NumericEntries, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

Computes the mean vector of the desired values.

computeMinMax() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Calculates the minimum and maximum value of the connections for this neuron
 (used to determinate ConnectionGraph colors)

computeNodeValues(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Compute value of node (pattern - prototype)²

computePCA() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Computes Principal Component Analysis

computePositions(double, double) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Recursively calculate the position of the nodes into the virtual grid

computePotentials() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Computes inputs of next population

computeSaliencies() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Computes saliency values of each connection in the perceptron

computeSigma(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction

Computes Sigma value depending on network's epoch

computeSigma(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractSigmaFunction
 
computeSigma(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.WinnerKernelFunction

In this function, Sigma doesn't depend on network'cycle but is always 0.

computeSum(SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

Computes sum of e^(input) for all units in population and puts it into sum.

computeSymbolicAttributeBest_Gain_and_splitLimit(int[], int, int, TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Computes the best split limit for a symbolic attribute

computeVarianceDesired(NumericEntries, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

Computes the variance of the desired values.

computeWeight(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
computeWeights(SingleSupervisedLearner, float) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Updates weight values.

computeWeights(SingleSupervisedLearner, int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Updates weight values.

computeWithFirstDerivative(NeuronUnit, SupervisedPopulation, SupervisedPopulation, int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Computes the first term of delta2 using the first derivative

computeWithSecondDerivative(NeuronUnit, SupervisedPopulation, SupervisedPopulation, int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Computes the second term of delta2 using the second derivative

con - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

Connection

ConcreteStrategy - Interface in fr.loria.cortex.ginnet.dynnet.utils.strategy

ConcreteStrategy defines a concrete strategy class.

CONFIDENCE_RELIABILITY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Percentage of reliability of computed confidence (alpha)

ConfidenceComputer - Class in fr.loria.cortex.ginnet.dynnet.utils.results

ConfidendeComputer is a class that computes confidence interval and uncertainty for any classification method.

ConfidenceComputer(ClassificationMethod) - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Creates and initializes confidence computer.

configurationPanel - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel
 
ConfuseRenderer - Class in fr.loria.cortex.ginnet.gui.tabs

Renderer of the cells of the confuse table

ConfuseRenderer() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.ConfuseRenderer
 
ConfuseTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels

ConfuseTableModel is a model for the confusion matrix table.

ConfuseTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Create an empty ConfuseTableModel

ConfuseTableModel(ClassificationCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Creates an ConfuseTableModel with no data

ConfuseTableModel(ClassificationCorpus, int[][]) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Create a ConfuseTableModel

connect(NeuronUnit, SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronProjection

Connects a unit to a population.

connect(NeuronUnit, SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Connects a unit to a population.

connect(SupervisedPopulation, NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronProjection

Connects a population to an unit.

connect(SupervisedPopulation, NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Connects a population to an unit.

connect(SupervisedPopulation, SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronProjection

Creates a complete connection from a to b

connect(SupervisedPopulation, SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Creates a complete connection from a to b

connection - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Selected connection to prune

ConnectionGraph - Class in fr.loria.cortex.ginnet.gui.graphs

ConnectionGraph is a graphical representation of a connection between two units.

ConnectionGraph(NeuronUnitGraph, NeuronUnitGraph, Bias) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Creates a GraphConnection to a Bias

ConnectionGraph(NeuronUnitGraph, NeuronUnitGraph, SupervisedConnection) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Creates a GraphConnection

ConnectionPruner - Interface in fr.loria.cortex.ginnet.dynnet.methods.management

Embedded variable selection method that prune connections.

connections - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

The list of the connections

connections - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

The list of the connections

connections - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Vector of GraphConnection objects

ConnectionSaliencyQuantityEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria

Evaluation criterion that selects a given number (called quantity) of worst connection to prune.

ConnectionSaliencyQuantityEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion

Default constructor.

ConnectionSaliencyTresholdEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria

Evaluation criterion that selects all connection whose saliency in lower than given treshold.

ConnectionSaliencyTresholdEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion

Default constructor.

constant - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Backup of constant error detection

CONSTANT_ERROR - Static variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Number of constant cycles to reach until considering error as constant

ConstantLearningRateFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions

ConstantLearningRateFunction class represents a learning rate function for any neural network.

ConstantLearningRateFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.ConstantLearningRateFunction

Constructs a constant learning rate function with type "Constant".

constrainst - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Layout constraints

containMissingValues() - Method in class fr.loria.cortex.ginnet.data.Data

Check all cell of all columns in order to search missing datas.

contains(int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Checks if the specified point is in the graphical connection

contains(int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.HexaNeuronGraph

Returns if the specified point in contained into the graph neuron

contains(int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Returns if the specified point is contained into the object

contains(int, int) - Method in interface fr.loria.cortex.ginnet.gui.Selectable

Returns if the specified point is inside the object

contains(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Tells if given neuron belong to this population or not.

contains(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Tells if given neuron belong to this population or not.

continueValuesAreAllTheSame(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Tests if all the float values of this float array are the same

convArr - Variable in class fr.loria.cortex.ginnet.data.Data

Integer to String convertion arry

convertTimeStamp(String) - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Converts a time label into its equivalent in seconds.

convertToHTMLDocument(String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Convert an HTML body to full HTML document (with head and body).

Coordinate - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions

Any x y coordinate.

Coordinate() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Constructs a new empty coordinate.

Coordinate(int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Constructs a new x, y coordinate.

copy(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

copy a matrix.

copy(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

copy a matrix.

copy(File, File) - Method in class fr.loria.cortex.ginnet.dynnet.utils.Copy

Copies file.

Copy - Class in fr.loria.cortex.ginnet.dynnet.utils

This class allows copies of files and directories.

Copy(String, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.Copy

Copies given source file to destination file and create it if needed.

copyFileContent(String, Writer, ClassLoader) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Copies a file to another one using given writer.

copyFileContent(String, String, ClassLoader) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Copies a file to given target file name.

corpus - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Entries relative to filter

corpus - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Associated corpus

corpus - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Corpus studied

corpus - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Corpus to use

corpus - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Associated corpus

corpus - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
CorpusCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels

A CorpusCommandPanel is a command panel for any corpus.

CorpusCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.CorpusCommandPanel

Initializes corpus command panel GUI.

CorpusCommentDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

CorpusCommentDialog displays a dialog that allow to edit corpus comment.

CorpusCommentDialog(AbstractFileCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Show comment dialog associated with given corpus
 and that doesn't save when "OK" button pressed.

CorpusCommentDialog(AbstractFileCorpus, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Show comment dialog associated with given corpus
 and saves it when "Save" button is pressed.

CORPUSES_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store corpuses folder path

corpusMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
corpusPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

corpuspcent_stateChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog

Called when the corpus percent spinner changed.

corpusSlider - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog
 
corpusTab - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The panel which contains the tables

CorpusTab - Class in fr.loria.cortex.ginnet.gui.tabs

TabCorpus Class is part of the UI dedicated to corpus.

CorpusTab(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Create a corpus tab

CorpusTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels

DataTableModel is a model for the corpus data table.

CorpusTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Creates an empty corpus table model

CorpusTableModel(AbstractFileCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Creates a CorpusTableModel

corpusTabTitle - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of corpus tab

corpusType - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Type of corpus used to create network

correlation(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Computes the correlation Matrix of a matrix.

correlation(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath
 
correlation(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Computes the correlation Matrix of a matrix.

correlation(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath
 
CORRELATION_MATRIX - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Correlation matrix type

CorrelationEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria

This class defines the covariance criterion.

CorrelationEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion

Create a new Correlation criterion

correlationMatrix - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Correlation matrix

CorrelationMatrixModel - Class in fr.loria.cortex.ginnet.gui.tablemodels

CorrelationMatrixModel is a model for the correlation matrix table.

CorrelationMatrixModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Creates an empty CorrelationMatrixModel

CorrelationMatrixModel(String[], double[][]) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Creates a CorrelationMatrixModel

countNbComment(String) - Static method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Counts number of comment lines in a file.

countNbPattern(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Counts the number of patterns from a specific file.

countNbTarget(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Counts the number of targets from a specific file.

countNbVariable(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Counts the number of attributes from a specific file.

covariance(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the covariance of two vectors

covariance(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the covariance of two vectors

COVARIANCE_MATRIX - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Covariance matrix type

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Called when the user clicks on "OK".

create() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.TOMDialog

Called when the user clicks on "OK".

createAndLearn(int, SingleSupervisedLearner, int[], Entries, SingleLearnerFactory) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Ci = I(S')

createAndLearn(int, SingleSupervisedLearner, int[], Entries, SingleLearnerFactory) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Ci = I(S')

createBias() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Create a bias for each Units in the destination Population

createBond() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Overriding this method allows you to choose the type of bond
 you want to use.

createBorderPanel(String) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Creates an empty panel with a titled border.

createBorderPanel(String, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Creates an empty panel with a titled border.

createButton(String, String, char, String, JComponent, ActionListener) - Static method in class fr.loria.cortex.ginnet.gui.GINNet

Creates any JButton and add it to any menu (using a specified string for the action)

createCorpus() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter

Creates a corpus from specific data collected

createCorpus() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.CategorizationCorpusExporter
 
createCorpus() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.ClassificationCorpusExporter
 
createCorpus() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.ForecastCorpusExporter
 
createCorrelationMatrixTable(String, String, int, String, String[], String[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a Correlation matrix table

createDescriptionTable(String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a table describing characteristics.

createDescriptionTable(String, String, String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a table describing characteristics.

createDescriptionTable(String, List) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a table describing characteristics.

createDescriptionTable(String, List, String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a table describing characteristics.

createDescriptionTable(String, List, List) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates a table describing characteristics.

createMenu(String, char, String, JComponent) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates a JMenu and add it to given menu bar

createMenu(String, char, String, JComponent, boolean) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates a JMenu and add it to given menu bar

createMenuItem(String, char, String, JComponent, ActionListener) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates any JMenuItem and add it to any menu (using text for the action)

createMenuItem(String, char, String, JComponent, ActionListener, boolean) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates any JMenuItem and add it to any menu (using text for the action)

createMenuItem(String, String, char, String, JComponent, ActionListener) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates any JMenuItem and add it to any menu (using a specified string for the action)

createMenuItem(String, String, char, String, JComponent, ActionListener, boolean) - Static method in class fr.loria.cortex.ginnet.gui.GINNetMenus

Creates any JMenuItem and add it to any menu (using a specified string for the action)

createMetaLearnerMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

"Create" menu

createNetworkMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Network creation menu

createNewNodeMean(GNGNode, GNGNode) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Creates a new Node between 2 other Nodes.

createPatterns(int, int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

Creates a Patterns object depending on current class (thanks to overloading) used in getNumerizedPatterns
 
This method allow getNumerizedPatterns to correctly instanciate new Patterns so it is from the same class as the original.

createPatterns(int, int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Instanciates a Patterns object of current class.

createPatterns(int, int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
createPatterns(int, int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
createPerceptron(Perceptron, int[][]) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Called by the 'create perceptron' dialog.

createSubTitle(String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Gets an HTML sub-title.

createSupervisedLearner(Entries) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Creates a single supervised learner with given patterns.

createTempDirectory(String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Creates a temporary directory.

createTempDirectory(String, File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Creates a temporary directory.

createTree(int[], int[], int, TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Creates the tree

createTree(int[], int, int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Creates the tree

createTree(int[], int, int[], TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

Creates the ID3 tree.

createTree(AbstractDecisionTree) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Create a graphical tree

creation - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Flag set at true if correlation matrix has not yet been computing.

CriterionException - Exception in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy

This class defines exception for evaluation or stopping criteria

CriterionException() - Constructor for exception fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.CriterionException

create a new criterion exception

CriterionException(String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.CriterionException

create a new criterion exception with specified message

CrossEntropyErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

CrossEntropyErrorFunction

CrossEntropyErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.CrossEntropyErrorFunction

Creates a new error function of type "Cross-entropy"

crossValid(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Cross valids a perceptron with combination of corpus (divide the corpus into x parts and permutes it)

crossValidation() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Called when the user clicks on "cross valid" button

CrossValidDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

CrossValidDialog is a dialog used to choose cross validation options.

CrossValidDialog(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog

Creates the dialog

CSS_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

CSS style sheet used

CST_LOG2 - Static variable in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy
 
CubeTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

TopologyFunctionCube class represents a topology function.

CubeTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.CubeTopologyFunction

Constructs a topology function with name "Cube"

current - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler

Index of the current learner studied

current - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
currentAlgo - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
currentColumn - Variable in class fr.loria.cortex.ginnet.data.Data
 
currentCommandPanel - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
currentNbCycle - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion

Current number of cycles done

cw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Width and height of the current layer

cycle - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Number of pruning cycle made

CycleStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

Stopping criterion that stops pruning after a given number of pruning cycles has been done.

CycleStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion

Default constructor.





D

d - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
d1RadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
d1Topologies - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Arrays of topology names for each dimension

d2RadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
d2Topologies - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Arrays of topology names for each dimension

d3RadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
d3Topologies - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Arrays of topology names for each dimension

DASHED - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

float array used to represent a dashed line

DASHED - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

float array used to represent a dashed line

data - Variable in class fr.loria.cortex.ginnet.data.AbstractDataLoader

Data

data - Variable in class fr.loria.cortex.ginnet.data.Data

Matrix of data (First dimension = column (variables) and second dimension = line (patterns))

data - Variable in class fr.loria.cortex.ginnet.data.DataExporter
 
data - Variable in class fr.loria.cortex.ginnet.gui.data.RowEditorModel

Association Hashtable

data - Variable in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

The dataq

data - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
data - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

row header data

data - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

The data

data - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

The data

data - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

The data

data - Variable in class fr.loria.cortex.ginnet.gui.tabs.DataTab
 
Data - Class in fr.loria.cortex.ginnet.data

Data class represents a Data container.

Data() - Constructor for class fr.loria.cortex.ginnet.data.Data

Constructs the class

Data(int) - Constructor for class fr.loria.cortex.ginnet.data.Data

Constructs Data with given number of columns

Data(int, int) - Constructor for class fr.loria.cortex.ginnet.data.Data

Constructs the class

Data(Data, Data) - Constructor for class fr.loria.cortex.ginnet.data.Data

Constructs a data object from 2 other data objects

Data(Data, Data, boolean) - Constructor for class fr.loria.cortex.ginnet.data.Data

Constructs a data object from 2 other data objects

dataBuf - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
dataBuf - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
DataCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels

DataCommandPanel is the command panel for datas.

DataCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.DataCommandPanel

Creates a data command panel

DataExporter - Class in fr.loria.cortex.ginnet.data

DataExporter.

DataExporter(Data) - Constructor for class fr.loria.cortex.ginnet.data.DataExporter

Constructs the class

dataFile - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
datalast - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
datalast - Variable in class fr.loria.cortex.ginnet.gui.tabs.DataTab
 
dataMainPane - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

The split panel which contains the two tables

dataMatrix - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Input data matrix

dataMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
dataMenu - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The Data menu

DataMenu - Class in fr.loria.cortex.ginnet.gui.data

DataMenu class describes common menu used by TabData objects.

DataMenu(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.data.DataMenu

Creates the Data menu

DataMiningMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface defines common properties and comportement of all data-mining methods used in GINNet.

datanb - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Numbers in the cell

dataPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

DATAS_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store databases folder path

dataTab - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The panel which contains the datas

DataTab - Class in fr.loria.cortex.ginnet.gui.tabs

DataTab is the part of the UI dedicated to Data

DataTab() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.DataTab

Creates a data tab.

dataTable - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Primary table (for attributes)

dataTable - Variable in class fr.loria.cortex.ginnet.gui.tabs.DataTab

The data table

DataTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels

DataTableModel is the model for the data table.

DataTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Creates an empty DataModel

DataTableModel(Data) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Creates a DataModel associated with a Data object

dataTabTitle - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of data tab

dateDebutEEG - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
dateDebutEEG - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
db - Variable in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Associated DBDataLoader

DBConnection - Class in fr.loria.cortex.ginnet.data

DBConnection is a class used to load a connection to a specific SGBD.

DBConnection() - Constructor for class fr.loria.cortex.ginnet.data.DBConnection

Constructor.

DBDataLoader - Class in fr.loria.cortex.ginnet.data

DBDataLoader is a class for DataBase Data Loader.

DBDataLoader(String, String, String) - Constructor for class fr.loria.cortex.ginnet.data.DBDataLoader

Constructs the class

DBImportTableModel - Class in fr.loria.cortex.ginnet.gui.data

This class is used as the model for the table that lets the user choose the
 data type for each column.

DBImportTableModel(DBDataLoader) - Constructor for class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Creates a DBImportTableModel for the specified DBDataLoader

DBImportTableRenderer - Class in fr.loria.cortex.ginnet.gui.data

The class is a modified renderer that shows a ComboBox in the first line.

DBImportTableRenderer() - Constructor for class fr.loria.cortex.ginnet.gui.data.DBImportTableRenderer
 
dbl - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard

Associated DBDataLoader

DBWizard - Class in fr.loria.cortex.ginnet.gui.data

DBWizard is the wizard to import data from databases.

DBWizard(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.data.DBWizard

Creates the DataBase Import Wizard

ddf(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Computes the second derivate of the transfert function while pruning.

ddf(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction
 
ddf(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

Ouput is 0.

ddf(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

Computes the second derivative of sigmoid.

ddf(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

Returns the second derivate of the hyperbolic tangent of the input.

decimalFormat - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Formatter of decimal numbers

decimalFormat - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Object used to format numbers

decimalFormatPanel - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
DecreasingLearningRateFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions

DecreasingLearningRateFunction class represents a learning rate function for any neural network which decreases in time.

DecreasingLearningRateFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Constructs a decreasing learning rate function with type "Decreasing" and default values : 0.5f for final learning rate and 1000 for number of cycles.

DecreasingLearningRateFunction(float, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Constructs a decreasing learning rate function with type "Decreasing".

DEFAULT_DESCRIPTION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Default background color of description table

DEFAULT_LABEL - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Default label (name of all unknown labels)

defaultPath - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Default value of the path

DELETE_COLUMN_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of "Delete column" menu item in column popup menu

DELETE_PATTERN_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of "Delete pattern" menu item in pattern popup menu

deleteButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Action button

deleteColumn() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
deleteColumn(int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Deletes the specified column

deleteColumn(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Deletes the specified column

deleteColumn(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Deletes a column

deleteColumn(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Deletes the specified column

deleteColumnMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu item to delete a variable in column popup menu

deleteDirectory(File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Recursively delete given directory
 and all files and directories contains in it.

deleteOldBonds(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Deletes bonds too old.

deletePattern() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
deletePatternMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu item to delete a pattern in "Patterns" menu

deletePatternPopupMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu item to delete a pattern in row popup menu

deleteRow(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Delete a specified row

deleteRow(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Deletes a row

deleteRow(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Deletes the specified row

deleteTarget() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
deleteUnBounded() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Deletes all unbounded Nodes

deleteVariables() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Effectively deletes selected variables.

delimited - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
DELIMITED - Static variable in class fr.loria.cortex.ginnet.data.AbstractDataLoader

Constant

delimiterGroup - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
deltas - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Delta values of all units

deltas2 - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Delta2 values of all units

desactivateUndo() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog
 
DESCRIPTION - Static variable in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

C4.5 short description

DESCRIPTION - Static variable in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

CART short description

DESCRIPTION - Static variable in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

ID3 short description

destination - Variable in class fr.loria.cortex.ginnet.dynnet.utils.Copy
 
destinationFileName - Variable in class fr.loria.cortex.ginnet.dynnet.utils.Copy
 
determinant(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Computes the determinant of a matrix.

determinant(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compute the determinant of a matrix.

df - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Object used to format numbers

df - Static variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Object used to format float numbers with the "0.00" format

df(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Computes the derivative of the transfert function while backpropagating.

df(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction
 
df(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

Output is 1.

df(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

Computes the derivative of sigmoid.

df(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

Returns the derivate of the hyperbolic tangent of the input.

dfx - Variable in class fr.loria.cortex.ginnet.gui.BarChart

Object used to format numbers

dfy - Variable in class fr.loria.cortex.ginnet.gui.BarChart
 
dialog - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel

Dialog showed if user wants to create a network from non full numerical patterns

dialog - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Dialog showed if user wants to create a network from non full numerical patterns

dimensionButtonGroup - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
dimensionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog
 
DimensionPanel - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels

Panel where dimensions (1D, 2D or 3D ; x, y and z sizes and topology type) can be set.

DimensionPanel(List) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Creates a new dimension panel.

dimensionsChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Called when the number of dimensions changed

disable2D() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Disable all 2D dimensions.

disablePanels() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
display() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
display(int) - Method in interface fr.loria.cortex.ginnet.dynnet.utils.task.LongTaskDisplayer

Displays long task displayer after given time

display(int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
displayAnswer(int, int, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Displays answer of sub-learner for given pattern

displayAnswers(int, AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Display all sub-learners answers for given pattern

displayErrors() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Displays mean error in graph and writes it on right side of command panel

displayLearnError() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Updates learn error label.

displayLearnError() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Displays sub-learner's learn error.

displayMark(float) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
displayMark(int, float, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Displays sub-learner mark.

displayName() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Displays sub-learner's name.

displayPatterns(String[]) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Displays patterns repartition.

displayResult() - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Display all results (previously displayed results and last new result) into result panel.

displayResult(int) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Displays prediction for given pattern.

displayResult(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Display all results (previously displayed results and last new result) into result panel, with given title.

displayResults() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog
 
displayResults() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Displays results in HTML into Results tab

displayResults(String) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Displays results in HTML into Results tab with given title.

displaySample(int, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Just displays a message about a learner sampling.

displaySubLearner(int, float, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Displays given sub learner, and affect it if needed

displaySubLearner(int, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Displays given sub-learner.

displayTestError() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Updates test error label.

displayTestError(int, SingleSupervisedLearner, String[]) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Displays sub-learner's test error or all the subLearner if necessary.

displayTestResults(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Display all sub-learners test errors.

displayValidationError() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Updates validation error label.

dispose() - Method in interface fr.loria.cortex.ginnet.dynnet.utils.task.LongTaskDisplayer

Closes displayer and desactivates it.

dispose() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Closes dialog.

dispose() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Closes dialog.

dispose() - Method in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
dispose() - Method in class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog
 
distanceFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Function used to compute distance between desired and computed prototypes

distanceFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Panel where to select which distance function to use

doAnyCycleCF(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Runs a specific cycle according to the specified patternType and update the corresponding confusion matrix.

doCycle(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Called when a new pattern is presented to the network.

doCycle(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Called when a new pattern is presented to the network.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Makes a cycle on learn, test or other patterns.

doCycle(int[], boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM
 
doCycle(short) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Performs a cycle: for each pattern of given type:
 
- present pattern to all learners and get combined result
 
- compare it to expected result

doCycle(short) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
doGNG() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Do a GNG cycle

doKMeans() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Do a KMeans cycle

doKohonen() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Do a kohonen cycle

doLearnCycle() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.StoppableMethod

Performs a single learn cycle.

doLearnCycle() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Makes a learn cycle : updates learning rate, submit all the learn patterns to the network and increments epoch.

doNG() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Do a neural gas cycle

doPerceptron() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Do a perceptron process

doRedundant() - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog

Updates the redundant values showing on screen

draw(TreeNodeGraph, Graphics) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Recursively draws the tree on screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Draws the object on screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.DynamicLayerGraph

Draws the GraphLayer on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.HexaLayerGraph

Draws the GraphLayer on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.HexaNeuronGraph

Draws the object on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.InputNeuronGraph

Draws the unit on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Draws the GraphLayer on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Draws the object on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

Draws the object on the screen

draw(Graphics2D) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Draws the unit on the screen

draw(Graphics2D) - Method in interface fr.loria.cortex.ginnet.gui.Selectable

Draw the object on the screen

draw(Graphics, int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Draw the node at the specified coordinate

drawArrow(Graphics2D, LayerGraph, LayerGraph) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Draws an arrow between to layers

drawCommon(Graphics, int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Common drawing method

drawStringLeft(Graphics, String, int, int) - Method in class fr.loria.cortex.ginnet.gui.BarChart

Draws string at left of the specified position

drawStringLeft(Graphics, String, int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph

Draws string at left of the specified position

drawWin(Graphics, int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Draw the node as a winner at the specified coordinate

DTWDistanceFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions

Implementation of Dynamic Time Warping algorithm to compute distance/error between desired and computed prototype.

DTWDistanceFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction

Creates a new DTW distance function.

dx - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
dy - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
DynamicLayerGraph - Class in fr.loria.cortex.ginnet.gui.graphs

DynamicLayerGraph is a graphical representation of a GNG Layer.

DynamicLayerGraph(int, int, AbstractTransferFunction, GNG) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.DynamicLayerGraph

Creates a GraphLayerDynamic object (mainly used for GNG)

DynNetConstants - Class in fr.loria.cortex.ginnet.dynnet.utils

This class regroups constants usefull for all DynNet and GINNet classes.

DynNetConstants() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants
 
DynNetException - Exception in fr.loria.cortex.ginnet.dynnet.utils

An exception thrown by DynNet.

DynNetException(String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.utils.DynNetException

Creates a new exception thrown by DynNet.

DynnetMath - Class in fr.loria.cortex.ginnet.dynnet.utils.math

This class implements mathematical functions.

 You should use this methods in a static way.


DynnetMath() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath
 
DynnetMathException - Exception in fr.loria.cortex.ginnet.dynnet.utils.math

this class defines an exception type for dynnet math utilities.

DynnetMathException() - Constructor for exception fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMathException
 
DynnetMathException(String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMathException
 
DynnetMatrix - Class in fr.loria.cortex.ginnet.dynnet.utils.math

DynnetMatrix class implements mathematics operations on matrix.

 All methods have static access.

DynnetMatrix() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix
 
DynNetPreferences - Class in fr.loria.cortex.ginnet.dynnet.utils.preferences

DynNetPreferences manages preferences for DynNet (and GINNet).

DynNetPreferences() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Private constructor.

DynnetVector - Class in fr.loria.cortex.ginnet.dynnet.utils.math

DynnetVector implements mathematics operations on vector.
 
 All methods have static access.

DynnetVector() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector
 




E

e - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Some private vector used in triangularization and diagonilization

editable - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Boolean set at true if cell are editable

EditTargetTableModel - Class in fr.loria.cortex.ginnet.gui.tablemodels

EditTargetTableModel is the model for the edit target table.

EditTargetTableModel(ClassificationCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Creates an EditTargetTableModel from the specified CorpusClassif

EEGSignal - Class in fr.loria.cortex.ginnet.data.signal

EEGSignal

EEGSignal() - Constructor for class fr.loria.cortex.ginnet.data.signal.EEGSignal

constructeur

EEGSignalLoader - Class in fr.loria.cortex.ginnet.data.signal

EEGSignalLoader

EEGSignalLoader(String, int, int, int, int, int) - Constructor for class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
eigenValues - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Arrays for internal storage of eigenvalues.

eigenVector2D - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
eigenVectors - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Array for internal storage of eigenvectors.

element - Variable in class fr.loria.cortex.ginnet.gui.visitor.Position

Unit element

elseCheckBox - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
elseTextField - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
embeddedMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Embedded variable selection menu

enableBestNetworkReloading(boolean) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Enables or disables "Reload best Network" button.

enableMenu(boolean) - Method in class fr.loria.cortex.ginnet.gui.data.DataMenu

Enables or disenables the menu

enableMenus() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Enable or disable corpus menus depending on model currently loaded.

enableMenus(Vector) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Enable given menus (Set component clickable) and disable all others.

enableMenus(Vector, Vector, boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNet

Enable given menus (Set component clickable) and disable all others.

enablePanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Enables (or disables) the command panel

enablePanel(JComponent, boolean) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Enables (or disables) recursively all graphical components of a panel.

enableTestPanel(boolean) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

enables or disables the use of test panel

encode(String, String) - Method in class fr.loria.cortex.ginnet.data.GeologicCodeEncoder

Encodes a geologic code file to a boolean sequence
 ie :
 file1 contains codes : ie -> Qe (cenozoic epoch and sedimentary system)
 file2 is build with  :
 plutonic metamorphic sedimentum volc-sed volcanic | cenozoic mesozoic paleozoic
    false       false       true    false    false |     true    false     false

entries - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Entries patterns of the meta learner

entries - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
entries - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
entries - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

All the patterns

entries - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
entries - Variable in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Patterns

Entries - Interface in fr.loria.cortex.ginnet.dynnet.methods.entries

Entries defines an interface for easy manipulable patterns.

Entropy - Class in fr.loria.cortex.ginnet.dynnet.trees.informationfunctions

Entropy is the class used to evaluate quantity of information
 based on entropy in a decision tree.

Entropy(Entries) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Constructor.

epoch - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
epoch - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Time (number of learn cycles performed) (updated in doLearnCycle)

epsilon_double - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Constant epsilon which define equality between two double.

 Two double a and b are equals if ||a|-|b|| <epsilon.

epsilon_float - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Constant epsilon which define equality between two float.

 Two float a and b are equals if ||a|-|b|| <epsilon.

equals(double[][], double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compare two matrix.

 call pseudoEquals with constant epsilon.

equals(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vectors equality

equals(float[][], float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

compare two matrix

equals(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vectors equality

equiprobability(boolean, int, int) - Method in class fr.loria.cortex.ginnet.data.Data

Equiprobabilizes.

EquiprobabilityDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

This dilog allow to parametrize equiprobability, i.e. to choose percentage of tolerance and min or max mode.

EquiprobabilityDialog() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Initializes the dialog.

errorCoefWhenNew - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Error coefficient for a new node inserted

errorCoefWhenNew - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
errorCountOnSamples - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

error count on each sample

ErrorEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria

ErrorEvaluationCriterion is a model based evaluation criterion that evaluate model by computing its error.

ErrorEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion

Default constructor.

errorFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Perceptron error function

errorFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
errorLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Error title label

errorLeak - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Error leak, used to decrease during time error accumulator of worst unit and its neighbor

errorLeak - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
errorOnSamples - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
ErrorStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

Stopping criterion that stops pruning when a given error is reached.

ErrorStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion

Default constructor.

ErrorStoppingFunction - Class in fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions

ErrorStoppingFunction class represents a stopping criterion for any neural network.

ErrorStoppingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Creates an error stopping function of type "Error"

errorType - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion

Type of patterns used to compute error

EuclideanAggregatingFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions

Basic aggregation.

EuclideanAggregatingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.EuclideanAggregatingFunction
 
EuclideanDistanceFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions

Basic distance function.

EuclideanDistanceFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction

Creates a new euclidean distance function.

evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion
 
evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Runs the evaluation and assigns the value of the feature's set relevance to attribute result.

 sub-classes must overload this method with appropriate arguments and call it in the definition of this methods.

evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion
 
evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion
 
evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion

Computed evaluation is model's error.

evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
evaluate() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion
 
evaluateComponentsToPrune() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Finish evaluation:
 
- Selects elements to prune according to previous saliency evaluations and specific selection criterion
 
- Put them into prunedElements variable
 
- Set evaluation result to the sum of all saliencies of selected components

evaluateComponentsToPrune() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion
 
evaluateComponentsToPrune() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion
 
evaluateComponentsToPrune() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion
 
evaluation - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter

Last result of criterion evaluation

evaluation - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Evaluated value

evaluation - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion

Value returned by an evaluation criterion

evaluationCriterion - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection
 
evaluationCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Panel where to set evaluation criterion

evaluationCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Panel where to set evaluation criterion

evaluationCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Panel where to set evaluation criterion

evaluationPerInput - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Error computed for each input space's element, when one of those element is unactivated.

executeQuery() - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Executes the query.

export() - Method in class fr.loria.cortex.ginnet.gui.PanelDataExport
 
exportCheckBox - Variable in class fr.loria.cortex.ginnet.gui.PanelDataExport

"Export Column names" check box

exportColumnNames() - Method in class fr.loria.cortex.ginnet.gui.PanelDataExport
 
exportDataToBinaryFile(File) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Saves data object to a binary file.

exportDataToBinaryFile(String) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Saves data object to a binary file

exportDataToFile(File, String, boolean) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Saves data object to a file

exportDataToFile(String, String, boolean) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Saves data object to a file

exportMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
exportPreferences() - Method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Exports (saves) all preferences values.

ExportToCorpusDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

ExportToCorpusDialog is the dialog that let the user choose a corpus type for data exportation.

ExportToCorpusDialog(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog

Creates the dialog

ext - Variable in class fr.loria.cortex.ginnet.gui.MyFilter
 
externalChangeListener - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Listener to FieldPanel changes

externalChangeListener - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel
 




F

f - Variable in class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Stats matrix

f - Variable in class fr.loria.cortex.ginnet.gui.tabs.stats.SymbolicalStatsTableModel

Stats matrix

f(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Computes the transfert function.

f(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

Returns the exponential value of the input normalized according to the others units of the relative population.

f(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

Output is input.

f(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

Computes sigmoid.

f(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

Returns the hyperbolic tangent of the input.

f(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction

Computes the kernel function

f(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.BubbleKernelFunction

Computes bubble kernel function

f(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian1KernelFunction

Computes gaussian1 kernel function

f(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian2KernelFunction

Computes Gaussian2 kernel function

f(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.WinnerKernelFunction

Computes winner kernel function

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

Computes the topology function to determine if how near is a node from the winner.

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.CubeTopologyFunction

Computes Cube topology function (in 3 dimensions)

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.HexaTopologyFunction

Computes Hexa topology function (in 2 dimensions)

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.LineTopologyFunction

Computes Line topology function (in 1 dimension)

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RectTopologyFunction

Computes topology function on a rectugalar map (in 2 dimensions).

f(KohonenNode, KohonenNode, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RingTopologyFunction

Computes topology function on a linear map (in 1 dimension).

factory - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Factory of sub-learners

fc - Variable in class fr.loria.cortex.ginnet.data.BinaryFileDataLoader
 
field - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Field associated with FieldPanel

fieldChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Process a change event.

fieldPanel - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel
 
FieldPanel - Class in fr.loria.cortex.ginnet.gui.strategypanels

FieldPanel creates a panel for a specific field given as a Field object.

FieldPanel(Field, ConcreteStrategy) - Constructor for class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Constructs a panel for given field relative to given concrete strategy object

file - Variable in class fr.loria.cortex.ginnet.data.FileDataLoader
 
file - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Name of the file to import

file - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

name of the file to import

file - Variable in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter
 
fileChooser - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Directory chooser

FileDataLoader - Class in fr.loria.cortex.ginnet.data

FileDataLoader class is an implementation for FileDataLoader.

FileDataLoader() - Constructor for class fr.loria.cortex.ginnet.data.FileDataLoader

Constructs the class

fileIcon - Variable in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
fileName - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Name of the file where to save corpus
 or null to not save corpus

fillAttributes(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Sets attributes from a specific file.

fillHeader(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Parses corpus file header and initiazes corresponding data (name, type, variable names and attribute types)

fillLabels(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Sets the corpus labels from a specific file

fillTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Sets the corpus targets from a specific file

fillTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Sets the corpus targets from a specific file

fillVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Set the matrix of attributes from a specific file

fillVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Set the matrix of attributes from a specific file

fillVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Sets the matrix of attributes and targets from a specific file.

filter - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Filter created

filterClass - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Class of filter to instanciate

FilterDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.featureselection

FilterDialog is a dialog for any filter.

FilterDialog(AbstractFileCorpus, Class, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Creates a new dialog for any filter, displaying method results
 and allowing effective variable selection.

filterMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
finalizeJar() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Finalizes Jar creation, i.e.:
 
 Finishes class declaration and close writer
 Copies super class file(s)
 Compiles
 Copy model results
 Creates manifest file
 Compress the whole to target Jar file
 

finalLearningRate - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Final value of the learning rate.

finalSigma - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractSigmaFunction

Final value of the neighborhood standard deviation.

finalSigma - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Final noise standard deviation

finalSigmaSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
find - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
FindDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

FindDialog is a dialog to find and replace values into Data.

FindDialog(int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.FindDialog

Constructs the dialog

findLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
findMaxAccumulator() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Finds the maximum accumulator of the population of nodes

findMaxAccumulatorNeighbor(GNGNode) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Find the max accumulator Neighbor (For GNG algorithm)

findNodeHavingPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Look for Node having the pattern attached

findSecond(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Find the second node.

findSelected(int, int, TreeNodeGraph) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Recursively find the selected graphical node

findTextField - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
findValueInAll(String) - Method in class fr.loria.cortex.ginnet.data.Data

Finds a value in all the column

findValueInColumn(Object, int) - Method in class fr.loria.cortex.ginnet.data.Data

Finds a value in a column

findValueInColumns(String, boolean) - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog

Find values in selected columns

findWinner() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Find the winner node.

findWinner(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Test for A pattern

findWinner(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Searches the winner node of given pattern.

finished - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Tells if learning is finished or not

firstLine - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Number of the first line

fisher(int, int, double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

compute fisher test.

fisher(int, int, float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

compute fisher test.

FisherStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

This class defines the Fisher statistics stopping criterion.

FisherStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion

Creates a fisher stopping criterion.

FIXED_SIZE - Static variable in class fr.loria.cortex.ginnet.data.AbstractDataLoader

Constant

fixedwidth - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
flowLayout1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
flowLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
flowLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
flowLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
FolderPanel - Class in fr.loria.cortex.ginnet.gui.dialogs.preferences

FolderPanel, used in PreferencesDialog, is a panel that allow to:
 
-see folder title
 
-see and edit folder path
 
-browse directory to get folder path

FolderPanel(String, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Creates and initializes a FolderPanel, dedicated to given path, with given title.

FolderPanel(String, String, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Creates and initializes a FolderPanel, dedicated to given path, with given title and given default path.

FONT_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Color of the font (for the legend)

ForecastCorpus - Class in fr.loria.cortex.ginnet.dynnet.corpus

ForecastCorpus represents any corpus whose task is to forecast.

ForecastCorpus(String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Constructs a corpus for forecasting with type "Forecast".

ForecastCorpus(String, String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Constructs a corpus for forecasting with type "Forecast".

ForecastCorpus(List, String, int, String[], short[], Hashtable[], ArrayList) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Construcsts a forecast corpus from Data object

ForecastCorpusExporter - Class in fr.loria.cortex.ginnet.gui.corpusexporters

ForecastCorpusExporter provides an interface to export forecast corpus.

ForecastCorpusExporter() - Constructor for class fr.loria.cortex.ginnet.gui.corpusexporters.ForecastCorpusExporter

Constructs a forecast corpus exporter.

forecastRadioButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
formatFieldName(String) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Changes a Java field name into displayed field name.

FORWARD_SEARCH - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

Defines constant to difference search approche (backward, forward or stepwise).

 Use to specify a restriction on an evaluation criterion.

ForwardFilter - Class in fr.loria.cortex.ginnet.dynnet.corpus.filter

This class generates a method forward for variable selection on corpus.

ForwardFilter(Entries, AbstractSimpleStoppingCriterion, AbstractSimpleEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter

Constructor.

fr.loria.cortex.ginnet.data - package fr.loria.cortex.ginnet.data

Data management, save, import and export.

fr.loria.cortex.ginnet.data.signal - package fr.loria.cortex.ginnet.data.signal

EEG signals treatments.

fr.loria.cortex.ginnet.dynnet.corpus - package fr.loria.cortex.ginnet.dynnet.corpus

Corpus are datas ready to be treated.

fr.loria.cortex.ginnet.dynnet.corpus.filter - package fr.loria.cortex.ginnet.dynnet.corpus.filter

Corpus filters.

fr.loria.cortex.ginnet.dynnet.corpus.patterns - package fr.loria.cortex.ginnet.dynnet.corpus.patterns

Patterns contain classes that describe an Attribute and a set of interfaces determining how to use patterns.

fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl - package fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl

Concrete implementations of patterns interfaces.

fr.loria.cortex.ginnet.dynnet.metalearners - package fr.loria.cortex.ginnet.dynnet.metalearners

Meta-learners are groups of supervised models able to learn how to learn
and have better results than simple learners.

fr.loria.cortex.ginnet.dynnet.metalearners.combiners - package fr.loria.cortex.ginnet.dynnet.metalearners.combiners

Package combiners regroups re-usable combiners.

fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing - package fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing

Arcing algorithm implementations.

fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging - package fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging

Bagging algorithm implementations.

fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting - package fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting

Boosting algorithm implementation.

fr.loria.cortex.ginnet.dynnet.metalearners.samplers - package fr.loria.cortex.ginnet.dynnet.metalearners.samplers

Package samplers regroups re-usable samplers.

fr.loria.cortex.ginnet.dynnet.methods - package fr.loria.cortex.ginnet.dynnet.methods

Methods describes the hierarchy of data-mining methods of GINNet.

fr.loria.cortex.ginnet.dynnet.methods.entries - package fr.loria.cortex.ginnet.dynnet.methods.entries

Entries are patterns more easily manipulable than corpuses.

fr.loria.cortex.ginnet.dynnet.methods.management - package fr.loria.cortex.ginnet.dynnet.methods.management

Manages methods feature selection.

fr.loria.cortex.ginnet.dynnet.methods.management.wrapper - package fr.loria.cortex.ginnet.dynnet.methods.management.wrapper

Wrappers.

fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions - package fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions

Stopping functions are used to determine when a stoppable data-mining method should stop learning.

fr.loria.cortex.ginnet.dynnet.neuralnetworks - package fr.loria.cortex.ginnet.dynnet.neuralnetworks

All neural networks basic classes.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks

Unsupervised networks doesn't work by teaching (correspondance between desired output and computed output) but by data organization.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions
 
fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions
 
fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions

Learning rate functions determines how to update the learning rate of the network while learning.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng

Growing Neural Gas networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans

KMeans algorithm implementation.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen

Kohonen self-organizing maps.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions

Kernel functions determine the nodes to move with the winner in Kohonen networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

Topology functions etermine the distances between nodes and winner nodes in Kohonen networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas

Neural gas networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron

Simple and multi-layer Perceptron network.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom

Temporal Organization Map spatio-temporal grid.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

Supervised network contain all information relative to non supervised networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

Embedded methods for supervised networks.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria

Evaluation criteria available for embedded pruning methods.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

Error functions compute network mean error for a cycle.

fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions - package fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions

Transfert functions determine the output of units according to their inputs.

fr.loria.cortex.ginnet.dynnet.trees - package fr.loria.cortex.ginnet.dynnet.trees

Decision trees.

fr.loria.cortex.ginnet.dynnet.trees.informationfunctions - package fr.loria.cortex.ginnet.dynnet.trees.informationfunctions

Information functions relatives to any decision tree.

fr.loria.cortex.ginnet.dynnet.trees.models - package fr.loria.cortex.ginnet.dynnet.trees.models

models package regroups all decision tree concrete models.

fr.loria.cortex.ginnet.dynnet.utils - package fr.loria.cortex.ginnet.dynnet.utils

utils package regroups all utilitees usable by DynNet or GINNet.

fr.loria.cortex.ginnet.dynnet.utils.charts - package fr.loria.cortex.ginnet.dynnet.utils.charts
 
fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy - package fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy

criteriastrategy is the root package for evaluation and stopping criterion.

This criteria are used for feature selection.

fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria - package fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria

evaluationcriteria package contains all evaluation's criteria usable for feature selection.

fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria - package fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

stoppingcriteria package contains all stopping's criteria usable for feature selection.

fr.loria.cortex.ginnet.dynnet.utils.math - package fr.loria.cortex.ginnet.dynnet.utils.math

math package regroups all mathematical utilitees usable by DynNet or GINNet.

This includes vector and matrix operation, and statistical fonction.

fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation - package fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation

This packages regroups all classes and files needed to generate Jar file from a DataMining model.

fr.loria.cortex.ginnet.dynnet.utils.preferences - package fr.loria.cortex.ginnet.dynnet.utils.preferences

preferences package concerns all DynNet (and GINNet) saved preferences.

fr.loria.cortex.ginnet.dynnet.utils.results - package fr.loria.cortex.ginnet.dynnet.utils.results

results package regroups classes intended to format results in HTML.

fr.loria.cortex.ginnet.dynnet.utils.strategy - package fr.loria.cortex.ginnet.dynnet.utils.strategy

Strategy design pattern allow to propose several concrete strategies to implement a computation.

fr.loria.cortex.ginnet.dynnet.utils.task - package fr.loria.cortex.ginnet.dynnet.utils.task

Long task is used to display task advancing (message and progress).

fr.loria.cortex.ginnet.gui - package fr.loria.cortex.ginnet.gui

The Graphical User Interface for the DynNet library.

fr.loria.cortex.ginnet.gui.commandpanels - package fr.loria.cortex.ginnet.gui.commandpanels

Command panels are panels displayed in the bottom of the frame.

fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels - package fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

Corpus exporters are dialog interfaces that create networks.

fr.loria.cortex.ginnet.gui.corpusexporters - package fr.loria.cortex.ginnet.gui.corpusexporters

All the command panels used to export data to corpus.

fr.loria.cortex.ginnet.gui.data - package fr.loria.cortex.ginnet.gui.data

All classes relative to data tab.

fr.loria.cortex.ginnet.gui.dialogs - package fr.loria.cortex.ginnet.gui.dialogs

All kind of dialogs.

fr.loria.cortex.ginnet.gui.dialogs.featureselection - package fr.loria.cortex.ginnet.gui.dialogs.featureselection
 
fr.loria.cortex.ginnet.gui.dialogs.networkdialogs - package fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

Dialog for network creations.

fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels - package fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels

Panels used by network dialogs.

fr.loria.cortex.ginnet.gui.dialogs.patterns - package fr.loria.cortex.ginnet.gui.dialogs.patterns
 
fr.loria.cortex.ginnet.gui.dialogs.preferences - package fr.loria.cortex.ginnet.gui.dialogs.preferences

GUI elements used to watch and edit GINNet preferences.

fr.loria.cortex.ginnet.gui.graphs - package fr.loria.cortex.ginnet.gui.graphs

All graphs.

fr.loria.cortex.ginnet.gui.help - package fr.loria.cortex.ginnet.gui.help

Elements used for graphical help.

fr.loria.cortex.ginnet.gui.jarexporting - package fr.loria.cortex.ginnet.gui.jarexporting
 
fr.loria.cortex.ginnet.gui.strategypanels - package fr.loria.cortex.ginnet.gui.strategypanels

Strategy panels allow dynamical interface that automatically create interfaces for several implementation of strategies.

fr.loria.cortex.ginnet.gui.tablemodels - package fr.loria.cortex.ginnet.gui.tablemodels

All table models.

fr.loria.cortex.ginnet.gui.tabs - package fr.loria.cortex.ginnet.gui.tabs

All GINNet tabs : Data, Stats, Corpus, Network and Tree.

fr.loria.cortex.ginnet.gui.tabs.network - package fr.loria.cortex.ginnet.gui.tabs.network
 
fr.loria.cortex.ginnet.gui.tabs.stats - package fr.loria.cortex.ginnet.gui.tabs.stats
 
fr.loria.cortex.ginnet.gui.visitor - package fr.loria.cortex.ginnet.gui.visitor

Neural network visitors used in GUI.

fr.loria.cortex.ginnet.gui.visitor.metalearning - package fr.loria.cortex.ginnet.gui.visitor.metalearning

Meta-learner GUI is displayed by MetaLearnerGUIVisitor and its relative classes.

fr.loria.cortex.ginnet.gui.visitor.metalearning.combining - package fr.loria.cortex.ginnet.gui.visitor.metalearning.combining

Combiner sub-components of meta-learner GUI.

fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting - package fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting

Result sub-component of meta-learner GUI.

fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling - package fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling

Sampler sub-components of meta-learner GUI.

frame - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Associated JFrame

free(Node, Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Removes the bond between a and b and destroys it.

FRENCH_LICENSE_FOR_GENERATED_CODE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

The name of the file containing the french license text that should be added to generated Jar

FRENCH_LICENSE_TARGET_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Target file name of the french license

freqEchant - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
freqEchant - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
func - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Transfert function description

function - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

The transfer function used by all units in this population

function - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
functionChanged(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Sets the second panel (configuration panel) to the panel of the selected strategy.

functions - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel
 
functionsComboBox - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel
 
fusionFilesMenuItem - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
fusionTargetsMenuItem - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 




G

gammln(double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

TODO describe this function

gammln(float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

TODO describe this function

Gaussian1KernelFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions

KernelFunctionGaussian1 class represents a KernelFunctionGaussian1.

Gaussian1KernelFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian1KernelFunction

Creates a kernel function with name "Gaussian1"

Gaussian2KernelFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions

KernelFunctionGaussian2 class represents a KernelFunctionGaussian2.

Gaussian2KernelFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian2KernelFunction

Constructs a kernel function with name "Gaussian2"

generalLearnPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel that contains generic parametrisations

GeologicCodeEncoder - Class in fr.loria.cortex.ginnet.data

GeologicCodeEncoder is an implementation for GeologicCodeEncoder.

GeologicCodeEncoder() - Constructor for class fr.loria.cortex.ginnet.data.GeologicCodeEncoder

Constructor.

getAberrantValues(int, float, float, float) - Method in class fr.loria.cortex.ginnet.data.Data

returns the indexes of supposed aberrant values

getAbsolutePath() - Method in class fr.loria.cortex.ginnet.data.FileDataLoader

Returns the absolute path of the file

getActiveAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getActiveAttributes() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the active attributes.

getActiveAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getActiveAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getActiveAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getActiveAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getActiveInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries

Gets an input pattern with only active attributes

getActiveUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Gets all active neuron units of the population.

getActiveVariableCount() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns the count of current active variables.

getAggregatingFunction() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Gets aggregating function of the competitive population.

getAggregatingFunctions() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Returns the list of all available concrete aggregating functions.

getAggregatingFunctions() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Returns the list of all available concrete aggregating functions.

getAllAberrantValues(float) - Method in class fr.loria.cortex.ginnet.data.Data

returns the indexes of supposed aberrant values

getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAllAttributes(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets a list of all attribute values (a column in input data).

getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getAllAttributes(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets a column of attributes values

getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getAllAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getAllDifferentValues(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns all different values of the specific attribute

getAllMissingValuesIndexes() - Method in class fr.loria.cortex.ginnet.data.Data

Gets the missing values in all the data

getAllResult() - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Gets all results in HTML code (just the body)

getAllStrategies(List) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.strategy.AbstractStrategy

Gets all the concrete strategy class from a given list

getArcNotFound() - Method in exception fr.loria.cortex.ginnet.dynnet.trees.NoClassPredictedException

Gets the value of the arc not found in decision tree

getAttribute(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getAttribute(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAttribute(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets an attribute of a given pattern.

getAttributeClassIndex() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Gets the index of attribute class

getAttributeClassName() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Gets attribute class name.

getAttributeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getAttributeName(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the name of an attribute.

getAttributeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getAttributeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getAttributeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getAttributeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getAttributeNames() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getAttributeNames() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets all attribute names.

getAttributeNames() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getAttributeNames() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getAttributeNames() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getAttributeNames() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAttributes(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets all attributes of a given pattern.

getAttributeStates() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Gets a String describing the states of all attributes (activated or desactivated).

getAttributeToTransform() - Method in class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog

Gets the List of indexes of attributes to numerize

getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getAttributeType(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the type of an attribute

getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getAttributeType(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the type of an attribute.

getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getAttributeType(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getAttributeTypes() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getAttributeTypes() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the type of all attributes.

getAttributeTypes() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAttributeValues(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getAttributeValues(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getAttributeValues(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets a list of all different attribute values for given attribute.

getAvailableLearners(boolean) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Gets the list of all learners that can be created by the factory.

getAvailableModels(boolean) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the list of all available models depending on operation to perform.

getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getAverages() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets average values of attributes.

getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Gets average values of attributes.

getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getAverages() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets average values of attributes.

getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getAverages() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getBackupDelta() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection

Gets backup value of the delta of the connection.

getBackupError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets backup test error, i.e. test error of the best network saved.

getBackupValue() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection

Gets backup value of the connection.

getBestFirstCoupleAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter
 
getBias(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets a specific bias of this projection

getBiasValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Gets bias value

getBond(Node, Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Returns the link between two units.

getBootstrapSample(int[], Random) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.samplers.Bootstrap

Creates a boostrap sample from given indexes and given random generator.

getBootstrapSample(int, int[], Random) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.samplers.Bootstrap

Creates a boostrap sample from given indexes and given random generator.

getBounds() - Method in class fr.loria.cortex.ginnet.gui.CloseTabIcon

Gets bounds.

getCardinalities(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Computes cardinalities values for a nominal attribute

getCardinality() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode
 
getCellEditor(int, int) - Method in class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Gets the TableCellEditor for the specified cell.

getClassesProportions(Hashtable) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Computes the repartition of patterns into classes

getClassName(String) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the short name of a class, from its full path

getClassNames() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode
 
getClassProportions() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode
 
getColor(float) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returs the color for a GraphNeuron object, based on its value

getColumn(double[][], int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns a vector which is a column of the input matrix

getColumn(float[][], int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns a vector which is a column of the input matrix

getColumnArray() - Method in class fr.loria.cortex.ginnet.data.Data

Gets the data in an array of ArrayList form

getColumnAverage(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the average of a numerical column

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns Object.class regardless of columnIndex.

getColumnClass(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns Object.class regardless of columnIndex.

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the number of columns

getColumnCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns the number of rows

getColumnMean(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the average of a numerical column

getColumnMissingValuesIndexes(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the missing values in a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the name of a column

getColumnName(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns the name of a column

getColumnsCorrelation(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the linear correlation coeficient of two columns

getColumnsCovariance(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the covariance of two numerical column

getColumnSD(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the standard deviation for a numerical column

getColumnSD(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the standard deviation for a numerical column

getColumnSeparator() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Gets the String separating two columns in data.

getColumnSum(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the sum of a numerical column

getColumnVariance(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the variance of a numerical column

getColumnVariance(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the standard deviation for a numerical column

getCommand() - Method in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Gets the text of the command that caused this exception

getCommandPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Gets command panel: the one displayed on bottom.

getComment() - Method in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetCommentDialog

Gets the comment entered.

getConfidence() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractClassificationMetaLearner

Gets confidence interval and uncertainty informations.

getConfidence() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ClassificationMethod

Gets confidence interval and uncertainty informations.

getConfidence() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets confidence interval and uncertainty informations.

getConfidence() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets confidence interval and uncertainty informations.

getConfidence() - Method in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Computes confidence interval and certainty and gets results in HTML format
 (so they can be displayed in method's results descriptions.

getConfidence(short) - Method in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Computes and gets confidence informations for given pattern type.

getConnection(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets a specific connection of this projection.

getConnection(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Gets a specific connection of this population.

getConnection(String, String, String) - Method in class fr.loria.cortex.ginnet.data.DBConnection

Gets connection.

getConnection(String, String, String) - Method in class fr.loria.cortex.ginnet.data.MySqlConnection
 
getConnectionColor(float) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Gets the color associated with given connection value,
 according to all connections of this neuron.

getConnectionPosition(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets the position of a given connection in this projection.

getContinueSplitLimit() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Gets continue split limit

getCorpus() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns the currently used corpus

getCorpus() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Gets the associated corpus

getCorpus() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Returns the actually used corpus

getCorpusOptionPanel() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter

Gets specific option panel of a corpus.

getCorpusOptionPanel() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.CategorizationCorpusExporter

Creates a panel for label column choice.

getCorpusOptionPanel() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.ClassificationCorpusExporter

Creates a panel for label column choice.

getCorpusOptionPanel() - Method in class fr.loria.cortex.ginnet.gui.corpusexporters.ForecastCorpusExporter
 
getCorrelationMatrix() - Method in class fr.loria.cortex.ginnet.data.Data

Gets the linear correlation matrix

getCorrelationMatrix() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the linear correlation matrix

getCovarianceMatrix() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Returns the covariance matrix of data

getCurrentLearnerStudied() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the index of the current learner sampled.

getCurrentLearnerStudied() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Gets the index of the learner currently studied.

getCurrentLearnerStudied() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
getCurrentLearnerStudied() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
getCurrentLearnerStudied() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
getData() - Method in class fr.loria.cortex.ginnet.data.AbstractDataLoader

Gets Data.

getData() - Method in class fr.loria.cortex.ginnet.data.BinaryFileDataLoader

Returns the internal Data object containing the datas

getData() - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Gets the data object

getData() - Method in class fr.loria.cortex.ginnet.data.TextFileDataLoader

Gets the data

getData() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns the current Data object

getData() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the Data object associated with the model

getData() - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Returns the current Data object

getDatas() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getDatas() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Gets datas as a 2D arry of double

getDatas() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets datas as a 2D array of double

getDefaultPath() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Gets default path value.

getDelivered(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Presents given pattern to the network, updates the output and propagates the activation to all layer.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.Arcing
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoost
 
getDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.EuclideanAggregatingFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.ConstantLearningRateFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.BubbleKernelFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian1KernelFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.Gaussian2KernelFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.WinnerKernelFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.CubeTopologyFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.HexaTopologyFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.LineTopologyFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RectTopologyFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RingTopologyFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.ClassificationErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.CrossEntropyErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.LikelihoodErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.MSEErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.SEErrorFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

Gets a short description of a concrete data-mining method.

getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MaximizeStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MinimizeStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion
 
getDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileFilter

Gets the description of this filter.

getDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.utils.strategy.ConcreteStrategy

Gets a short description of the strategy

getDescription() - Method in class fr.loria.cortex.ginnet.gui.MyFilter

Returns the description for the filter

getDescription() - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab.HTMLFilter
 
getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractEmbedded

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets a list of pruning method characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets a list of pruning method characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets a list of neural networks characteristics to add to model description.

getDescriptionList() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Gets a list of neural networks characteristics to add to model description.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

Gets the number of dimensions of the topology.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.CubeTopologyFunction

Gets the number of dimensions of the topology.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.HexaTopologyFunction

Gets the number of dimensions of the topology.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.LineTopologyFunction

Gets the number of dimensions of the topology.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RectTopologyFunction

Gets the number of dimensions of the topology.

getDimension() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RingTopologyFunction

Gets the number of dimensions of the topology.

getDimensions() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Gets the sizes of the grid

getDirectory(File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Gets the full path of the directory where is given file.

getDistanceFunction() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Gets distance function of the competitive population.

getDistanceFunctions() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Returns the list of all available concrete distance functions.

getDominantLabel() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Gets the label most reprensented by node prototype.

getDoubleColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Returns a double[] representation of a dataColumn.

getDoubleMatrix() - Method in class fr.loria.cortex.ginnet.data.Data

Gets double matrix

getEditor(int) - Method in class fr.loria.cortex.ginnet.gui.data.RowEditorModel

Returns the TableCellEditor for the specified row

getEigenVector(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Gets the array of Eigen Vector in given dimensions.

getEntries() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter

Gets current entries of the filter (whith selected variables desactivated)

getEntries() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets entries (corpus) associated with this method.

getEntries() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Gets entries (corpus) associated with this method.

getEntries() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets entries (corpus) associated with this method.

getEntries() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets entries (corpus) associated with this method.

getEpoch() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.StoppableMethod

Gets the current number of cycles done by the stoppable method

getEpoch() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the current number of learning cycles performed by the neural network.

getError(float) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a list of errors results colors to add to model description.

getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets a list of errors results colors to add to model description.

getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets a list of errors results colors to add to model description.

getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets a list of errors results colors to add to model description.

getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets a list of errors results colors to add to model description.

getErrorColorsList() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets a list of errors results colors to add to model description.

getErrorFunctions() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Returns the list of all available concrete error functions.

getErrorMessage() - Method in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Gets a specific error message describing what causes the exception.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a list of errors results to add to model description.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets a list of errors results to add to model description.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets a list of errors results to add to model description.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets a list of errors results to add to model description.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets a list of errors results to add to model description.

getErrorsList() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets a list of errors results to add to model description.

getEvaluationCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets the list of all supported evaluation criteria for filter selection.

getEvaluationCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Gets the list of all supported evaluation criteria for filter selection.

getEvaluationCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Gets the list of all supported evaluation criteria for filter selection.

getEvaluationCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection

Returns the evaluation's criterion of this Feature Search Approach.

getEvaluationCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets the list of evaluation criteria available for wrapper pruner.

getEvaluationCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainDamage

Gets the list of evaluation criterions available for this pruner.

getEvaluationCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainSurgeon

Gets the list of evaluation criterions available for this pruner.

getEvaluationCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalCellDamage

Gets the list of evaluation criterions available for this pruner.

getExpected() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Returns null!

getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl

Return the name of the target expected

getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl

Return targets values.

getExpectedResult(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets the resulted expected for given pattern

getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getExpectedResult(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets result expected for given pattern.

getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getExpectedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getExtension() - Method in class fr.loria.cortex.ginnet.gui.MyFilter

Returns the extension for the filter

getExtension(File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Gets the extension of a file.

getFeatureSelection() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkManager

Returns the FeatureSelection associated with THIS SupervisedNetworkManager.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a short description of a field of a strategy.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.EuclideanAggregatingFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.ConstantLearningRateFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction

Gets the description of one of this class' field.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion

There are no fields to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.ClassificationErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.CrossEntropyErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.LikelihoodErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.MSEErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.SEErrorFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion

There are no field to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion

There are no fields to describe

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion

No attributes to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion

There are no fields to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion

There are no fields to describe

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion
 
getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MaximizeStoppingCriterion

there are no fields to describe.

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MinimizeStoppingCriterion

There are no fields to describe

getFieldDescriptions(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion
 
getFieldDescriptions(String) - Method in interface fr.loria.cortex.ginnet.dynnet.utils.strategy.ConcreteStrategy

Gets a short description of a field of a strategy.

getFileName() - Method in class fr.loria.cortex.ginnet.data.FileDataLoader

Returns the name of the file

getFileName(File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Gets the name of a file without its extension.

getFileSeparator() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Gets the file separator.

getFinalLearningRate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
getFirstTimeStamp() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal

timeStampFunction

getFloatColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Returns a float[] representation of a dataColumn.

getFloatCopy(Object) - Method in class fr.loria.cortex.ginnet.data.Data

Copies a Float object

getFrame() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns the associated JFrame object

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.ConstantLearningRateFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

Gets a complete description of the function and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion
 
getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MaximizeStoppingCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MinimizeStoppingCriterion

Gets a complete description of the criterion and its properties.

getFullDescription() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion

Gets a complete description of the criterion and its properties.

getFunction() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets function describing combining computation
 using variables int nbLearners and String[] subResults
 and returning label predicted.

getFunction() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.Combiner

Gets function describing combining computation
 using variables int nbLearners and String[] subResults
 and returning label predicted.

getFunction() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner

Gets function describing combining computation
 using variables int nbLearners and String[] subResults
 and returning label predicted.

getFunction() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Gets function describing combining computation
 using variables int nbLearners and String[] subResults
 and returning label predicted.

getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AbstractAggregatingFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion
 
getGoal() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.strategy.AbstractStrategy

Gets a short description of what the strategy is aimed for.

getGraph() - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Returns the Graph object

getGraph() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Returns the Graph object

getGridSizes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Gets the gridSizes

getH() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returns the height of the GraphLayer

getHeader() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets the header of a corpus as it should be written in saved file.

getHeaderColumn() - Method in class fr.loria.cortex.ginnet.gui.JTableEx

Returns the row header

getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.CorpusCommandPanel

Get the preferred height of the command panel

getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.DataCommandPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Recursively calculates the height of a tree

getHeight() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Gets the preferred height of the sub component.

getHeight() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
getHeight() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
getHistogram(float, float, float, int) - Method in class fr.loria.cortex.ginnet.data.Data

Returns the data frequency for a numerical column

getHTMLCF(short) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Get a HTML text describing correlation matrix for given pattern type

getI() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph
 
getIconHeight() - Method in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
getIconWidth() - Method in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
getIndex() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Gets the index of the selected variable in original corpus.

getIndexAddingAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter

Gets the index of the adding attribute.

getIndexes(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getIndexOf(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Gets the index of given neuron in this population.

getIndexOf(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Gets the index of given neuron in this population.

getIndexRemovingAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter

Return an index of an attribute on a corpus corresponding to the attribute to remove for having 
 an optimal sub-corpus.

getInfoQuantity() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Returns the information quantity for this Node

getInformationFunction() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns the information function.

getInitialization() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
getInitialLearningRate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
getInput() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Returns inputs of all units

getInputActivationToggle() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns the input's activation toogles' array.

getInputPopulation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets input population of the network.

getInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getInputs(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets an input pattern.

getInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getInputSpace() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns the input space which is the set of input layer's active and desactivated neurons units.

getInpuUnitsPruned() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
getInstance() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Gets the only instance of DynNetPreferences.

getInstance() - Static method in class fr.loria.cortex.ginnet.gui.GINNet

Gets the instance of GINNet (cf Singleton Design Pattern).

getInstance() - Static method in class fr.loria.cortex.ginnet.gui.GINNetThread

Returns the instance of the thread

getJ() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph
 
getJavaBinPath() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets full path of the bin folder of Java according to DynNet preferences.

getJavaCode() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Gets transfert function computation as Java code,
 starting with return,
 using one variable called x and of type double
 and ending with a ";"

getJavaCode() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

Gets transfert function computation as Java code,
 starting with return,
 using one variable called x and of type double
 and ending with a ";"

getJavaCode() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

Gets transfert function computation as Java code,
 starting with return,
 using one variable called x and of type double
 and ending with a ";"

getJavaCode() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

Gets transfert function computation as Java code,
 starting with return,
 using one variable called x and of type double
 and ending with a ";"

getJavaCode() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

Gets transfert function computation as Java code,
 starting with return,
 using one variable called x and of type double
 and ending with a ";"

getJavaComputation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction

Gets Java code for distance computation.

getJavaComputation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction

Gets Java code for distance computation.

getJavaComputation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction

Gets Java code for distance computation.

getJavaFunction() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction

Gets this distance function as a Java function.

 This function is private double computeDistance(double[] prototype, double[] pattern)

getKernelFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Gets the list of kernel functions.

getLabel(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getLabel(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getLabel(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getLabel(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Return label of a specific pattern.

getLabel(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gest the label of given pattern.

getLabel(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getLabel(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getLabelName() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Gets the name of Label column.

getLabelName() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getLabelName() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getLabelName() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getLabelName() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Gets the name of label column

getLabelRepartition() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Gets an hashtable associating to each label represented in node prototype,
 the number of patterns having this label

getLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getLabels() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Gets the list of all labels (without redundancy).

getLabels() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Gets all the labels that can be predicted,
 in the same order as in legend so that sub-learner proportions can be displayed

getLastActivatedMethod() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Gets last method tab activated.

getLastDelivered() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets delivered outputs of the last pattern presented to the network

getLastDesired() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets desired outputs of the last pattern presented to the network

getLastNode() - Method in exception fr.loria.cortex.ginnet.dynnet.trees.NoClassPredictedException

Gets the last node reached in decision tree

getLastResult() - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Gets last result in HTML code (just the body)

getLastTimeStamp() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal

timeStampFunction

getLayers() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Returns the vector of GraphLayer objects

getLayers() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Returns the vector of GraphLayer objects

getLayersDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets layers in text format.

getLayersDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Gets layers in text format.

getLayersDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets layers in text format.

getLayoutHeight() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Gets the height set in GUI.

getLayoutWidth() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Gets the width set in GUI.

getLearnButtonToolTip() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
getLearnButtonToolTip() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
getLearnButtonToolTip() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
getLearnButtonToolTip() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
getLearnerClass() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the class of sub-learners to create.

getLearnerClass() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Gets the class of learner to create.

getLearnerMark(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the mark attributed to given sub-learner.

getLearnerMark(int) - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.Combiner

Gets the mark attributed to given sub-learner.

getLearnerMark(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner
 
getLearnerMark(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Gets learn errors of the sequential meta-learner.

getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
getLearnError() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner

Gets the last mean learn error.

getLearnError() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Gets the last mean learn error.

getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the last mean learn error.

getLearnError() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets the last mean learn error.

getLearningRateFunction() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the learning rate function of the network.

getLearningRateFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the list of learning rate functions available for current neural network

getLearnMessage() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a message given informations on last learn cycle made.

getLegend() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
getLegend() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Gets the panel containing the legend to display.

getLegend() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
getLegend() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
getLessEffectiveInputIndex() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Removes the less effective input (the one which influencates the less the obtained result)
 according to the priorly computed value.

getLoadedNetwork() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Gets current loaded network.

getLoadedNetworkPatterns() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Gets current patterns of current network

getLoadedNetworkType() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Returns the type of current loaded network.

getLoadedTreeType() - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Returns the type of current loaded tree.

getMainPanel() - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Gets main panel: the one displayed on top.

getMaximumColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the index of the maximum value of a numerical column

getMaxTime() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
getMaxWidth() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Gets the maximum width of a sub-panel of this sub component
 (depending on legend width and current frame width).

getMean() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Returns the mean of the predictive value of the subset of elements of this node.

getMeans() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
getMetaLearner() - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Gets the loaded meta-learner attached to this tab.

getMetaLearnerTab() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns the panel of meta-learner

getMethodCommandPanels() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Gets the list of all method command panels currently active.

getMinimalError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
getMinimalRepresentation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns a minimal representation of the perceptron as a Collection which can be then used
   with the method Perceptron.updateFromMinimalRepresentation(java.util.Collection) to backup the perceptron's state.

getMinimumColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets the index of the minimum value of a numerical column

getMinInformationFunction() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART
 
getMinNodeCardinality() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART
 
getMode() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the highlight mode

getModel() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

Returns the model concerned by this Feature Search Approach.

getModel() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractModelEvaluationCriterion

Gets model assigned to this evaluation criterion.

getModel() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion

Gets the model.

getModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Gets the data-mining model associated with command panel

getModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
getModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
getModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Get a HTML text describing model characteristics

getModelDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Get a HTML text describing model characteristics

getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractEmbedded

Get a HTML text describing model characteristics

getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets a HTML text describing model characteristics

getModelDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ResultableMethod

Gets a HTML text describing model characteristics

getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Get a HTML text describing model characteristics

getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets a HTML text describing model characteristics

getModelDescription() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Get a HTML text describing model characteristics

getModelFromDynNetName(AbstractMetaSupervisedLearner) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets the name of the model from DynNet class describing given data-mining model.

getModelFromDynNetName(DataMiningMethod) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets the name of the model from DynNet class describing given data-mining model.

getModelFromDynNetName(AbstractCompetitiveNetwork) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets the name of the model from DynNet class describing given data-mining model.

getModelFromDynNetName(AbstractSupervisedNetwork) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets the name of the model from DynNet class describing given data-mining model.

getModelFromDynNetName(AbstractDecisionTree) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Gets the name of the model from DynNet class describing given data-mining model.

getModelFromDynNetName(File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory
 
getModelName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Get a HTML text describing model name

getModelName() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Get a HTML text describing model name

getModelName() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper
 
getModelName() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ResultableMethod

Gets a HTML text describing model name

getModelName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Get a HTML text describing model name

getModelName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets a HTML text describing model name

getModelName() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Get a HTML text describing model name

getMostPredictedClass() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Search into sub-tree for most frequent class in leaves.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Gets the name of the selected variable.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Gets the name of the sampler.

getName() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.Combiner

Gets the name of the combiner.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner

Gets the name of the combiner.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Gets the name of the sampler.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler

Gets the name of the sampler.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Gets the name of the sampler.

getName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets the name of concrete OBD method

getName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainDamage
 
getName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainSurgeon
 
getName() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalCellDamage
 
getName() - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Returns the name of this information function

getNbActiveUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Gets number of active neuron units in this population.

getNbActiveUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Gets number of active neuron units in this population.

getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getNbAttribute() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the total number of attributes.

getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getNbAttribute() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the number of attributes.

getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getNbAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNbAttribute(short) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the number of attributes of given type

getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbAttribute(short) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets the number of attributes of  given type

getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getNbAttribute(short) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the number of attributes of given type.

getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getNbAttribute(short) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getNbBias() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets number of bias of this projection.

getNbComponentsPruned() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
getNbConnection() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets number of connections of this projection.

getNbConnections() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets total number of connections of all projections of the supervised network.

getNbConnections() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Gets number of connections of this populations.

getNbLabel() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getNbLabel() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getNbLabel() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getNbLabel() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Gets the number of (different) labels.

getNbLearn() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Gets current proportion of learn patterns.

getNbNodes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Gets the number of nodes in the population.

getNbNumericalAttribute() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Gets the number of numerical attributes.

getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
getNbOutput() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets the number of outputs.

getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getNbOutput() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the number of outputs.

getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getNbOutput() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbPattern() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets number of patterns.

getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getNbPattern() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the number of patterns.

getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getNbPattern() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getNbPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNbPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbPattern(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets total number of patterns of a given type.

getNbPattern(short) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getNbPattern(short) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the number of patterns of a given type.

getNbPattern(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getNbPattern(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getNbPattern(short) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getNbPattern(short) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getNbPatterns() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Gets the total number of patterns counted for label repartition

getNbPatterns(String, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets the number of patterns having the same class as given class.

getNbPopulation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gives the size of population.

getNbProjection() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets the number of projection present in the network

getNbPrototypes() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ClusteringMethod

Gets the total number of categories predicted by the clustering method.

getNbPrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Gets the total number of categories predicted by the clustering method.

getNbSec() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
getNbTarget() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Get number of targets.

getNbTarget() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gets the number of targets.

getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getNbTarget() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getNbTest() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Gets current proportion of test patterns.

getNbUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets total number of active neuron units of all populations of the supervised network.

getNbUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Gets number of active and desactivated neuron units in this population.

getNbUnits() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Gets number of units in this population.

getNbUnits() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Gets the current number of units set in GUI.

getNbValidation() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Gets current proportion of validation patterns.

getNbVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNbVariable() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the total number of variables.

getNbVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNbVoies() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
getNetworkTab() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns the panel where the network is drawn

getNeuronUnit() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Gets NeuronUnit selected.

getNewAttributesIndexes(int[], int, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Returns a new consideredAttributesIndex if the pointed attribute must be excluded from the tests.

getNode() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Gets the associated node

getNode(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Gets the node at given position in the population.

getNumberOfColumn() - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Returns number of attributes contained in the query ResultSet

getNumericalBranchProportion(int[], int, String, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Computes probability for an arc

getNumericalBranchProportion(int[], int, String, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Computes probability for an arc

getNumericalBranchProportion(int[], int, String, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

Computes probability for an arc

getNumericalStatsTable() - Method in class fr.loria.cortex.ginnet.gui.tabs.StatsTab
 
getNumericEntries() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets patterns of the network.

getNumericInputs(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gets inputs as float values

getNumericInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getNumericInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getNumericInputs(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets inputs as float values

getNumerizedPatterns() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNumerizedPatterns() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNumerizedPatterns() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Transforms current patterns into Patterns having only numeric attributes, by transforming all symbolical attributes.

getNumerizedPatterns() - Method in class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog

Gets patterns transform into patterns having only numerical attributes.

getNumerizedPatterns(List) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getNumerizedPatterns(List) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getNumerizedPatterns(List) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getNumerizedPatterns(List) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getNumerizedPatterns(List) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl

NB: Targets are the same objects as current targets.

getNumerizedPatterns(List) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Transforms current patterns into Patterns having only numeric attributes.

getOtherSubElements(int[], int, String, boolean, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Returns a list of elements that contains values that DON'T correspond to the split criterion

getOutput() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Returns outputs of all units

getOutputConnections(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets output connections of given neurons.

getOutputConnections(NeuronUnit, int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets output connections of given neurons of a given layer.

getOutputPopulation() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets output population of the network.

getOutputs() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getOutputs() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

If entries contains classes, return the predictable labels.

getOutputs() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getOutputs() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getOutputs() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getOutputs() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getOutputs(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample

Get the result of computation for this supervised neural network with given inputs

getPath() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Gets current path.

getPath(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Gets a path from preferences.

getPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getPattern(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Returns an array of float corresponding to the numerical attributes of given pattern.

getPattern(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getPattern(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getPattern(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets index of a given pattern in a given type.

getPatternLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getPatternLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getPatternLabels() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
getPatternLabels() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Gets the list of labels of each pattern

getPatternList(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Gets the pattern list of given type

getPatterns() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets corpus patterns.

getPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getPatterns(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getPatterns(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets all pattern indexes of a specific type

getPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getPatterns(short) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets indexes of all patterns of given type

getPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getPatterns(short) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getPatternToSave(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets a pattern as it should be written in saved file.

getPatternToSave(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getPatternToSave(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getPatternToSave(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getPatternType(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets the type of a given pattern.

getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getPatternType(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets the type of a pattern.

getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getPatternType(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getPatternTypeForFile(short) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getPatternTypeFromFile(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
getPatternTypeName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getPCA() - Method in class fr.loria.cortex.ginnet.data.Data

Gets PCA relative object.

getPCA() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
getPCA() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getPCA() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

Gets patterns PCA.

getPCA() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Gets patterns PCA.

getPercentage() - Method in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Gets the selected percentage of tolerance.

getPerceptronConnection(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronProjection

Gets a specific Perceptron connection of this projection.

getPerceptronModel() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Gets model as a Perceptron object.

getPerceptronModel() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets supervised neural network concerned by this pruning method.

getPerceptronModel() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Gets Perceptron concerned by this evaluation criterion.

getPerceptronProjection(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets a specific projection of the Perceptron, as a PerceptronProjection object.

getPopulation(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gives a population.

getPopulationIndex() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Gets index of the population of the selected neuron.

getPopulationIndex(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Gets the index of the population containing given neuron.

getPosition() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Gets the position of the selected neuron on its population

getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.Arcing
 
getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging
 
getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoost
 
getPredictedClass(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ClassificationMethod

Gets the result obtained after testing given pattern.

getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets the result obtained after testing given pattern.

getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets the result obtained after testing given pattern.

getPredictedClass(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Gets predicted class without * or ** added to class names.

getPredictedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getPredictedResult(int) - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner

Gets the predicted result of a supervised method as an Object.

getPredictedResult(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.SupervisedMethod

Gets the predicted result of a supervised method as an Object.

getPredictedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork
 
getPredictedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getPredictedResult(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART
 
getPredictedValue(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging
 
getPredictedValue(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.RegressionMethod

Gets the result obtained after testing given pattern.

getPredictedValue(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets the result obtained after testing given pattern.

getPredictedValue(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Gets the result obtained after testing given pattern.

getProjection(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Sets projected values in projection variable.

getProjection(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets a specific projection

getProportionsPerAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode
 
getPrototypes(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ClusteringMethod

Gets the result obtained after testing given pattern.

getPrototypes(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Gets the result obtained after testing given pattern.

getPrunedElements() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Gets the list of elements selected by this evaluation method to be pruned.

getPruningResults() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
getRedondantValues() - Method in class fr.loria.cortex.ginnet.data.Data

Detects the redondant values

getResult() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Returns the result of the evaluation on a set of feature

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractClassificationMetaLearner

Get a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Get a HTML text describing model last result

getResultDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Get a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper
 
getResultDescription() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.ResultableMethod

Gets a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Get a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork
 
getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Get a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Get a HTML text describing model last result

getResultDescription() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Get a HTML text describing model last result

getResultOfTransfertFunction(short, double) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample

Determines the output of a neuron according to its input value.

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Returns the number of rows

getRowCount() - Method in class fr.loria.cortex.ginnet.gui.tabs.stats.SymbolicalStatsTableModel

Returns the number of rows

getRowEditorModel() - Method in class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Gets the associated RowEditorModel

getSaliency() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Gets the saliency of this selected connection.

getSaliency() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Gets the saliency of this selected neuron.

getSearchMethod() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

return the kind of this search which is performed for feature selection

getSelectedStrategy() - Method in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Gets the concrete strategy object selected

getSelectedVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Gets a list of selected variables (of type SelectedVariable), sorted by deletion order.

getSelectedVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter

Gets a list of selected variables (of type SelectedVariable), sorted by deletion order.

getSelectedVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter

Gets a list of selected variables (of type SelectedVariable), sorted by deletion order.

getSelectedVariable() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SFFSFilter

Gets a list of selected variables (of type SelectedVariable), sorted by deletion order.

getSeparator() - Method in class fr.loria.cortex.ginnet.gui.PanelDataExport
 
getSimpleEvaluationCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Gets evaluation criterion as an instance of AbstractSimpleEvaluationCriterion.

getSimpleStoppingCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Gets stopping criterion as an instance of AbstractSimpleStoppingCriterion.

getSolution() - Method in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Gets a description of how to do to solve the problem.

getSplitLimit() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Gets split limit.

getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getStandardDeviations() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets standard deviation values of attributes.

getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Gets standard deviation values of attributes.

getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getStandardDeviations() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Gets standard deviation values of attributes.

getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
getStandardDeviations() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
getStopCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection

Returns the stop's criterion of this Feature Search Approach.

getStoppingCriterion() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets the list of all supported stopping criteria for filter selection.

getStoppingCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Gets the list of stopping criteria available for wrapper pruner.

getStoppingCriterionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets the list of stopping criterions available for this pruner.

getStoppingFunction() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the stopping function of the network

getStoppingFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the list of stopping functions available for current neural network

getStoppingFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans
 
getStringColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Returns a String[] representation of a dataColumn.

getStringCopy(Object) - Method in class fr.loria.cortex.ginnet.data.Data

Copy a String object

getStringValue(float) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Cast a float value into a displayable String

getSubElements(int[], int, String, boolean, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns a list of elements that contains values that correspond to the split criterion

getSubElements(int[], String, int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns the sub elements of a list of elements only containing a specific value
 for an attribute

getSubLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets one of the sub-learners of the meta-learner

getSubLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Gets one of the sub-learners of the meta-learner

getSubLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
getSubLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
getSubLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
getSubset(int[], int, String, boolean, float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns a subTree

getSymbolFreq(int) - Method in class fr.loria.cortex.ginnet.data.Data

Returns the data frequency for a symbolic column

getSymbolicBranchProportion(int[], int, String) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Computes probability for an arc

getSymbolicBranchProportion(int[], int, String, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Computes probability for an arc

getSymbolicSplitLimit() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode
 
getSymbols(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Gets an Hashtable used to transform a symbolic attribute to a numerized attribute

getTable() - Method in class fr.loria.cortex.ginnet.gui.JTableEx

Returns the data table

getTable() - Method in class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Gets stats matrix

getTableCellEditorComponent(JTable, Object, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.tabs.ComboEditor

Returns the table cell editor

getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.ColorCellRenderer

Returns the table cell renderer

getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableRenderer
 
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableRenderer

Returns the table cell renderer

getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.LineRenderer
 
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class fr.loria.cortex.ginnet.gui.tabs.ConfuseRenderer

Returns the table cell renderer

getTableContent(List, List) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Creates the HTML code corresponding to given datas, to put inside description table

getTarget(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getTarget(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getTarget(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getTarget(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
getTarget(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Gets a specific target of a specific pattern.

getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
getTargetName(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedLabelledPatterns

Gets the name of a target

getTargetName(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Gets the name of a specific target column

getTargetName(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gets the name of a given target.

getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getTargetName(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getTargetNames() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gets an arry of all target names.

getTargetNames() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getTargetNames() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
getTargets(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Gets targets of a given pattern.

getTargets(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntries

Gets targets values for a pattern.

getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries
 
getTargets(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets targets as an array of float

getTask() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

return the task for which this criterion could be used

getTestError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getTestError() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner

Gets the last mean test error.

getTestError() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Gets the last mean test error.

getTestError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the last mean test error.

getTestError() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets the last percentage of error ofthe decision tree.

getTestMessage() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a message given informations on last test cycle made.

getTimeStamp() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AbstractAggregatingFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion
 
getTitle() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.strategy.AbstractStrategy

Gets the title of strategy.

getTitleLabel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel

Get the JLabel that display the title of the command panel

getTooltip() - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Returns the associated tooltip

getTooltip() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Returns the tooltip associated with this neuron

getTooltip() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

Returns the tooltip associated with this neuron

getTooltip() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Returns the tooltip associated with the unit

getTooltip() - Method in interface fr.loria.cortex.ginnet.gui.Selectable

Get the tooltip associated with the object

getToolTipText(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Returns the tooltip of the selected objet

getTopologyFunction() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Gets the topology function selected in DimensionPanel

getTopologyFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Gets the list of topology functions.

getTopologyFunctionList() - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Gets the list of topology functions.

getTotal() - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph

Returns maximum number of points

getTr() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returns the transfer function of the GraphLayer

getTrace() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Gets the trace of filter computation.

getTree() - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Returns the DecisionTree currently used

getTreeFunction(AbstractDecisionTree, StringBuffer, TreeNode, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Recusrive method used to get tree function to write.

getTreeTab() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns the current JPanelTree

getType() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Gets corpus name.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Gets attribute type.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.Arcing
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.Bagging
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoost
 
getType() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner

Gets the name of the learner type.

getType() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Gets the name of a concrete data-mining method.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction

Gets a String representing the type of strategy

getType() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Returns the type of stopping criterion.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction

Returns the type of stopping criterion.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction

Returns the type of stopping criterion.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Gets the type of the network.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AbstractAggregatingFunction

Gets the type of distance function

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.EuclideanAggregatingFunction
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.AbstractDistanceFunction

Gets the type of distance function

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.DTWDistanceFunction
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.EuclideanDistanceFunction
 
getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Returns the type of learning rate function.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction

Gets the name of the kernel function

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

Returns the name of the topology function

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction

Gets the type of error function

getType() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Returns the type of transfert function.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.C45

Gets the name of a concrete data-mining method.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Gets the name of a concrete data-mining method.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

Gets the name of a concrete data-mining method.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Returns the type of the evaluation criterion.

getType() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion

Returns the type of the evaluation criterion.

getType() - Method in interface fr.loria.cortex.ginnet.dynnet.utils.strategy.ConcreteStrategy

Gets a String representing the type of strategy

getUnactiveVariableString() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns a string representation informing of the variables which have been unactivated.

getUnit(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Returns unit at given index.

getUnit(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Returns a specific Unit of the Population from its index in the list

getValidationError() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
getValidationError() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.SupervisedMethod

Gets last mean validation error.

getValidationError() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Gets last mean validation error.

getValidationError() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gets the last mean validation error.

getValidationMessage() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets a message given informations on last validation cycle made.

getValue() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Gets the value of an attribute (as an object).

getValue() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.NumericalAttribute
 
getValue() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.SymbolicAttribute
 
getValue() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Gets the value of current supervised connection.

getValue() - Method in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog

Gets the first value entered

getValue() - Method in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog

Returns the selected value

getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Gets connection value

getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.HexaNeuronGraph

Returns the value of the neuron

getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.InputNeuronGraph
 
getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Returns the value of the neuron

getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

Returns the value of the neuron

getValue() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Returns the value of the neuron

getValue(int, int) - Method in class fr.loria.cortex.ginnet.data.Data

get a value at x,y coordinates

getValue2() - Method in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog

Gets the first value entered

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Returns the value of the specified cell

getValueAt(int, int) - Method in class fr.loria.cortex.ginnet.gui.tabs.stats.SymbolicalStatsTableModel

Returns the value of the specified cell

getValueRepartition(int) - Method in class fr.loria.cortex.ginnet.data.Data

Gets repartition of values of given column.

getVariable() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
getVariableName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getVariableName(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the name of a variable.

getVariableName(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getVariableNames() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
getVariableNames() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Gets the names of all variables.

getVariableNames() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
getVariableTypesToSave() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Gets the variable types declaration as it should be written in saved file.

getVariableTypesToSave() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Gets attributes and label types header declaration.

getVariableTypesToSave() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Gets attributes, label and targets types header declaration.

getVariableTypesToSave() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus

Gets attributes and targets types header declaration.

getVarianceDesired() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction
 
getVector() - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns the highlighted items vector

getVisitor() - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Returns the visitor being used

getVisitor() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Returns the visitor being used

getVisitor() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Returns the visitor being used

getVoie(int) - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal

retourne une voie particuliere d'un signal EEG ou nul si l'index est faux

getVotes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Gets the last votes set for the meta-learner.

getVotes() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.Combiner

Gets the last votes set for the meta-learner.

getVotes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner
 
getVotes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
getW() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returns the width of the GraphLayer

getWeightedBoostrapSample(int[], float[], Random) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.samplers.Bootstrap

Creates a boostrap sample from given indexes and probabilities (weights).

getWeightedBoostrapSample(int, int[], float[], Random) - Static method in class fr.loria.cortex.ginnet.dynnet.metalearners.samplers.Bootstrap

Creates a boostrap sample from given indexes and probabilities (weights) and random generator.

getWeights() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Gets values of connections,

getWeights() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Access function to the weights of the connections of this population

getWidth() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Recursively calculates the width of a tree

getWidth() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
getWidth() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Gets the preferred width of the sub component.

getWidth() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
getWidth() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
getWinner() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Search the winner node for current cycle

getWinner() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Search the winner node for current cycle

getX() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Gets the x coordinate.

getX() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returns the x-coordinate of the GraphLayer

getX() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph
 
getX() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Gets the x coordinate

getY() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Gets the y coordinate.

getY() - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Returns the y-coordinate of the GraphLayer

getY() - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph
 
getY() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Gets the y coordinate

GIBBS - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample
 
GibbsTransferFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions

GibbsTransferFunction describes Gibbs transfert function.

GibbsTransferFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

Creates a new transfert function of type "Gibbs"

Gini - Class in fr.loria.cortex.ginnet.dynnet.trees.informationfunctions

Gini class is used to evaluate quantity of information based on Gini in a decision tree.

Gini(Entries) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Gini

Constructor.

ginnet - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
ginnet - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
GINNet - Class in fr.loria.cortex.ginnet.gui

GINNet class describes main window for the GUI.

GINNet() - Constructor for class fr.loria.cortex.ginnet.gui.GINNet

This constructor is only used by Applet Viewer
 

 Do not call this constructor directly.

GINNet(JFrame) - Constructor for class fr.loria.cortex.ginnet.gui.GINNet

Creates the main window.

GINNetMenus - Class in fr.loria.cortex.ginnet.gui

This class regroups static methods to build GINNet menus.

GINNetMenus() - Constructor for class fr.loria.cortex.ginnet.gui.GINNetMenus
 
GINNetThread - Class in fr.loria.cortex.ginnet.gui

ThreadRun class computes the calculation thread.

GINNetThread(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.GINNetThread

Create the thread

gng - Variable in class fr.loria.cortex.ginnet.gui.graphs.DynamicLayerGraph

Associated Growing neural gas

GNG - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng

GNG class represents a Growing Neural Gas network.

GNG(int, int, AbstractLearningRateFunction, AbstractStoppingFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Constructs a Growing Neural Gas with type "GNG".

GNGCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

GNGCommandPanel class describes the command panel to control a GNG network.

GNGCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel

Creates a Growing Neural gas command panel

GNGDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

GNGDialog is a dialog used to create a GNG.

GNGDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Creates and shows a new dialog to create a GNG.

GNGNode - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng

GNG Node class is used in a competitivePopulation.

GNGNode() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNGNode

Creates a GNG node

GNGNode(int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNGNode

Creates a GNG node with given size

GNGView - Class in fr.loria.cortex.ginnet.gui.tabs.network

GNGView is a panel displaying a Growing Neural Gas.

GNGView(GNG, int[], Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.GNGView

Builds a view of given Growing Neural Gas.

GOOD_ANSWER - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Foreground color of a good answer displayed in result panel

graph - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Graph

Graph - Class in fr.loria.cortex.ginnet.gui.graphs

Graph class represents chart components.

Graph() - Constructor for class fr.loria.cortex.ginnet.gui.graphs.Graph

Creates a Graph object

Graph(Graph) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.Graph

Copy constructor : creates a Graph from another
 Graph object

GRAPH_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Background color of the graph drawed

graphCommandPanel - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
GraphCommandPanel - Interface in fr.loria.cortex.ginnet.gui.commandpanels

A GraphCommandPanel is a command panel that display a Graph,
 containing method informations evolving in time.

graphics - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Graphics object

graphpane - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Graph panel

GREEN_BACKGROUND - Static variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Mode: display cell in green

GREEN_TEXT - Static variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Mode: display cell text in green

gridBag - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Layout of main panel

gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
gridLayout1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
gridLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
gridLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
gridLayout2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
gridLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
gridLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
gridLayout3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
gridLayout4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
gridLayout4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 




H

h - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Coordinates of the layer on the screen

has(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Returns true if the specified neuron acts into this connection, false else.

hasBias - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Boolean telling if bias should be displayed or not

hasBias() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Tells if this projection has bias or not.

hasFinished() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Tells if learning is finished or not.

hasHeader_actionPerformed() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Called when the users clicks on the header checkbox.

hasHeaderCheckBox - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
hasLearnPattern - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Backup boolean set at true if there are at least one learn pattern

hasPattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Test if Node has pattern attached

hasStrategy(String) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Tells if this strategy panel has given strategy.

hasTestPattern - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Backup boolean set at true if there are at least one test pattern

hasValidationPatterns - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Backup boolean set at true if there are at least one validation pattern

header - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
HEADER - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Number of lines in header

headerColumn - Variable in class fr.loria.cortex.ginnet.gui.JTableEx

The two jtables

headerLine - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Number of the header line (-1 if none)

headerLineChanged() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Called when header line spinner value is changed.

headerLineSpinner - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
height - Variable in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
height - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Width and height of the layer

height - Static variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Half of the height of the rectangle

height - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
HelpFrame - Class in fr.loria.cortex.ginnet.gui.help

HelpFrame display help on a frame.

HelpFrame() - Constructor for class fr.loria.cortex.ginnet.gui.help.HelpFrame

Creates help frame

helpMenu - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The menus and submenus

HexaLayerGraph - Class in fr.loria.cortex.ginnet.gui.graphs

HexaLayerGraph is a graphical representation of a hexagonal layer.

HexaLayerGraph(int, int, AbstractTransferFunction) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.HexaLayerGraph

Creates a Graph Layer with hexagonal shape

HexaNeuronGraph - Class in fr.loria.cortex.ginnet.gui.graphs

HexaNeuronGraph is a graphical representation of a hexagonal neuron.

HexaNeuronGraph(Node, int, int, String, LayerGraph) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.HexaNeuronGraph

Create a hexagonal-shaped neuron associated to a Node object

HexaTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

HexaTopologyFunction class represents a topology function on a hexagonal map (in 2 dimensions) where each node has 6 neighbors.

HexaTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.HexaTopologyFunction

Constructs a new topology function with name "Hexa"

highLightColor - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
HoKashyap - Class in fr.loria.cortex.ginnet.data

HoKashyap implements Ho-Kashyap's algorithm, that tells if two classes are linearly discriminable or not.

HoKashyap(double[][], String[], String, String) - Constructor for class fr.loria.cortex.ginnet.data.HoKashyap
 
HoKashyapDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

HoKashyapDialog is a dialog for HoKashyap algorithm.

HoKashyapDialog(GINNet, Data) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog

Creates the dialog

HTML_LEARN_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Learn color in HTML format

HTML_PALE_LEARN_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale learn color in HTML format

HTML_PALE_TEST_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale test color in HTML format

HTML_PALE_VALIDATION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale validation color in HTML format

HTML_TEST_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Test color in HTML format

HTML_VALIDATION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Validation color in HTML format

HTMLFilter() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.ResultsTab.HTMLFilter
 
HTMLResultsFactory - Class in fr.loria.cortex.ginnet.dynnet.utils.results

HTMLResultsFactory formats result in proper HTMl code.

HTMLResultsFactory() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory
 




I

i - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
i - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Coordinate in the layer

ID3 - Class in fr.loria.cortex.ginnet.dynnet.trees.models

ID3 is the implementation for ID3 algorithm.

ID3(Entries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.models.ID3

Constructs an ID3.

ID3RadioButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
identity(int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Create an identity matrix.

identity_float(int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Create an identity matrix.

ifFoundLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
importPreferences() - Method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Imports (reads and loads) all preferences values.

ImportTableModel - Class in fr.loria.cortex.ginnet.gui.data

Table model for the preview table

ImportTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Creates an empty ImportTableModel

ImportTableModel(String, String, int, int, int, boolean) - Constructor for class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Creates an ImportTableModel

ImportTableRenderer - Class in fr.loria.cortex.ginnet.gui.data

A modified DefaultTableCellRenderer that change the color of the specified
 first line in blue

ImportTableRenderer(int) - Constructor for class fr.loria.cortex.ginnet.gui.data.ImportTableRenderer

Creates an ImportTableRenderer

ImportWizard - Class in fr.loria.cortex.ginnet.gui.data

ImportWizard is a wizard to import data in text files to a Data object.

ImportWizard(GINNet, String) - Constructor for class fr.loria.cortex.ginnet.gui.data.ImportWizard

Create an import wizard

increaseAgeOfBonds() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Add 1 to age of each Bonds

index - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Index of the variable in original corpus

index - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
index - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
index - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Index in the associated float array

indexColumnsStart - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
indexes - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Indexes of starts of columns (if mode == 3)

indexes - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
indexOfBestValue(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Returns the index of the best value considering the Entropy way of computing

indexOfBestValue(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Gini

Returns the index of the best value considering the Gini way of computing (i.e. the nearest to 0, >=0)

indexOfBestValue(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Returns the index of the best value considering the Variance way of computing
 (i.e. the nearest to 0, >=0)

indexOfBestValueFromFloatVector(Vector) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Returns the index of the best value considering the Entropy way of computing

indexOfBestValueFromFloatVector(Vector) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Gini

Returns the index of the best value considering the Gini way of computing
 (i.e. the nearest to 0, >=0)

indexOfBestValueFromFloatVector(Vector) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Returns the index of the best value considering the Variance way of computing 
 (i.e. the nearest to 0, >=0)

indexOfMaximum(double[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns the index of the maximum value contained in the specific array

indexOfMaximum(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns the index of the maximum value contained in the specific array

indexStartData - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
indexStartData - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
infoFunction - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

The function used to split a node (entropy, Gini's impurity, etc.)

infoFunctionField - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
infoQuantity - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The information quantity of this node

initButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initialization button

initButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Called when the user clicks on "init" button.

initButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
initButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Called when the user clicks on "init" button

initButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel
 
initButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initComboBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

ComboBox to select what kind of initialization to do

initComboBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initComboBoxChanged(ItemEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Called when the initialization method change

initFileButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Button to choose a file containing initial values

initFileButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Open a dialog to choose a file in local folders.

initFileChooser - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Chooser of initialization file

initializable - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
initialization - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Type of re-initialization

initialize() - Method in class fr.loria.cortex.ginnet.data.HoKashyap
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel

UI Creation

initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initialize the command panel and especially all graphical elements.

initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KohonenCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.NeuralGasCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

UI Creation

initialize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.PatternSeparationDialog

UI initialization.

initialize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog

UI initialization.

initialize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

UI initialization.

initialize() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Initializes variables.

initialize() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Initialize GUI components.

initialize() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
initialize() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
initialize(int, String) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel
 
initialize(DataMiningMethod, File, String, String, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Initializes attributes for current model.

initialize(DataMiningMethod, String, String, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Initializes attributes for current model.

initialize(GNG, int[]) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.GNGView
 
initialize(KMeans, int[]) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.KMeansView
 
initialize(Kohonen, int[]) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.KohonenView
 
initialize(NeuralGas, int[]) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.NeuralGasView
 
initialize(Component, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog

Initializes GUI elements.

initializeConnections() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Initializes the perceptron with random values.

initializeConnections(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Initializes the perceptron with random values.

initializeGraph() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
initializeGUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog
 
initializeInitializations() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Initializes initialization panel.

initializeInitPanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initializes initPanel elements.

initializeInitPanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
initializeLearningFunctions() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Initializes stopping function panel and learning rate function panel.

initializeLearnPanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initializes learnPanel elements.

initializeMessage() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Initializes message to display about task progress.

initializeMessageAndProgress() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Initializes/resets trace message and progress.

initializeMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Initializes visitor with a new meta-learner.

initializeNeuralNetwork() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
initializeNeuralNetwork() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Performs network initialization.

initializeNeuralNetwork() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initializePrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Initializes connections with random value of patterns.

initializePrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Initializes each prototype to a random partition of the examples

initializePrototypes(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Initializes to a random value (min..max)

initializePrototypes(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Initialize each prototype value to a random value (min..max)

initializePrototypes(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Initialize from a file containing value

initializeSavePanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initializes save panel with all saving feature buttons

initializeSavePanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
initializeSavePanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
initializeSavePanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
initializeTargets() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
initializeTargets() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
initializeTargets() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedLabelledPatterns

Creates targets from labels.

initializeTestPanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Initializes testPanel elements.

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.CorpusCommandPanel

Initializes GUI.

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

UI Creation

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

UI Creation

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog

UI Creation

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

UI Creation

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

UI Creation

initializeUI() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.TOMDialog

UI Creation

initialLearningRate - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Initial value of the learning rate

initialNbConnections - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Initial number of connections of the network

initialNbNeurons - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Initial number of neurons of the network

initialnode - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
initialResult - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

HTML table desbribing initial performances of supervised model (errors before pruning)

initialSigma - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractSigmaFunction

Initial value of the neighborhood standard deviation.

initialSigma - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Initial noise standard deviation

initialSigmaSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
initMaxValueSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initMinValueSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
initModel(DataMiningMethod, boolean, boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Initialize neural network to be displayed

initModelForPruning(DataMiningMethod, ResultableMethod, boolean, boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Initializes GINNetThread to display pruning results

initPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel that regroup all initialization parameters and actions

input - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.NeuronUnit

The input value of this unit, also termed potential

inputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Width and height of the input layer

inputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Width and height of the input layer

inputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Width and height of the input layer

InputNeuronGraph - Class in fr.loria.cortex.ginnet.gui.graphs

InputNeuronGraph is a graphical representation of an input neuron.

InputNeuronGraph(AbstractCompetitiveNetwork, int, int, int, LayerGraph, String) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.InputNeuronGraph

Creates a GraphNeuronKohonenInput at the specified position in the layer
 and associates it to a specific kohonen input

inputs - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries

Hashtable of array of Attributes
 Key = index of the pattern
 Object stored = a pattern (an Attribute[])

inputs - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Inputs

inputs - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Input data.

 Only usefull for SimpleFisherCriterion.

inputsLayoutPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog
 
InputSupervisedPopulation - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

InputSupervisedPopulation class represents an input population of a supervised network.

InputSupervisedPopulation(AbstractTransferFunction, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Constructs a set of Units with a specific transfer function

inputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Width and height of the input layer

inputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Width and height of the input layer

inputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Width and height of the input layer

instance - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

DynNetPreferences instance

instance - Static variable in class fr.loria.cortex.ginnet.gui.GINNet

GINNet only instance (see Singleton Design Pattern)

instance - Static variable in class fr.loria.cortex.ginnet.gui.GINNetThread

The only instance of ThreadRun (Singleton design pattern)

INTEGRAL - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Computed integral for specified confidence reliability (Z alpha)

interactionStrength - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Strength of spatiotemporal interaction (K)

interstimulusTimeInterval - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Time interval between two consecutive patterns (ISI)

INVALID_VALUE - Static variable in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Constant which represents an invalid value (superior to 1 is impossible for an computed error).

invConvArr - Variable in class fr.loria.cortex.ginnet.data.Data

String to Integer convertion arry

inverse(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the inverse of a matrix.

inverse(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the inverse of a matrix.

IOMethods - Class in fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation

In this class are regrouped some usefull methods to manipulate files.

IOMethods() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods
 
isActivated(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Returns true if the specified variable is activated, false else.

isActive() - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Tells if this tab is active or not.

isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
isActive(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Tells if an attribute is active or not.

isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Tells if a neuron unit of this population is active or not.

isActive(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
isAMethodActive() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Tells if there is a model loaded or not.

isBestNetworkReloadingEnabled() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Tells if "Reload best network" button is enable or not.

isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion
 
isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Compare the evaluation of two model by this criterion.

isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AkaikeEvaluationCriterion
 
isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.CorrelationEvaluationCriterion
 
isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.ErrorEvaluationCriterion
 
isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
isBetter(double, double) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion
 
isBounded(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Test if a Node has bounds

isC45 - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Returns if the specified cell is editable

isCellEditable(int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Returns if the specified cell is editable

isConnectedToOutput(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Tells if a neuron unit is connected to the output or not.

isConsistant() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Tells if Perceptron is consistant or not,
 i.e. if at least one neuron of the input layer is connected
 to a neuron of the output layer.

isConstant() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Returns true if error has been detected as constant.

isContinue - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

True if the attribute used is continue

isContinue() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Tells if a node is continue or not

isGraphCommandPanel - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
isInputOf(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Returns true if the specific unit is at the origin of this connection.

isInputSpaceVisible() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns if the input space tab is visible

isiSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
isKnownPath(String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Tells if given key is one of keys used by preferences or not.

isLeaf - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

True if this Node is a leaf

isLeaf() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Tells if a node is a leaf or not.

isLeaf() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Returns if the node is a leaf

isMin() - Method in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Tells if "minimum" mode has been choosen or not

isNetworkVisible() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Returns if the network tab is visible

isOutputOf(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Returns true if the specific unit is at the end of this connection.

isPerceptron - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Boolean telling if network to display is a Perceptron or not

isRegressive() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
isRegressive() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.SupervisedMethod

Tells if method is used for regression or not.

isRegressive() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Tells if supervised network is used for regression or classification.

isRegressive() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns true if CART produces a regression tree.

isSelected() - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Returns if the graphical node is selected

isSequential() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Tells if sampler is sequantial or not.

isSequential() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
isSequential() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
isSequential() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
isSingular(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

check if a matrix is singular.

isSingular(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

check if a matrix is singular.

isSquare(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Check if matrix is square

isSquare(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Check if matrix is square

isStandardizable(int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog

Tells if an attribute can be standardize or not.

isYNegative() - Method in class fr.loria.cortex.ginnet.data.HoKashyap
 
isYPositive() - Method in class fr.loria.cortex.ginnet.data.HoKashyap
 
itemStateChanged(ItemEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Used to enable or unable Cart parameters.

iterate() - Method in class fr.loria.cortex.ginnet.data.HoKashyap
 
IVisitorCorpus - Interface in fr.loria.cortex.ginnet.dynnet.corpus

IVisitorCorpus visits corpus classes.

IVisitorGNG - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng

IVisitorGNG implements Visitor design pattern for growing neural gas.

IVisitorKohonen - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen

IVisitorKohonen implements visitor design pattern for elements of Kohonen self-organizing maps.

IVisitorNG - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas

IVisitorNG implements visitor design pattern for elements of Neural gas networks.

IVisitorPerceptron - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron

IVisitorPerceptron implements Visitor design pattern for Perceptron classes.





J

j - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Coordinate in the layer

jarDirectory(File, String, String[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker

Adds content of given file or directory to the jar.

jarFile - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Current target Jar file

JarFileFilter - Class in fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation

JarFileFilter is a FileFilter that filter Jar files.

JarFileFilter() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileFilter
 
JarFileMaker - Class in fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation

JarFileMaker provides a method to easily create a Jar file.

JarFileMaker() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker
 
jarOutputStream - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker

Jar output stream

JAVA_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store Java folder path

javaPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

jbInit() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.DataCommandPanel

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.data.DBWizard

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog

UI Creation

jbInit() - Method in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog

UI Creation

jCheckBox1_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Updates the preview when the users change tokens

jfcOpen - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The common JFileChooser used for file loading

jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jLabel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
jLabel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
jLabel3 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jLabel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jLabel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
jLabel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
jLabel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
jLabel4 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jLabel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jLabel5 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jLabel7 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

The parent window

jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
jPanel1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
jPanel10 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
jPanel10 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
jPanel10 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
jPanel2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
jPanel3 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
jPanel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jPanel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
jPanel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jPanel3 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jPanel4 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
jPanel7 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
jScrollPane1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
jScrollPane1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
jScrollPane1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
jSlider1_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Called when the user changes the layout slider

jSpinner1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
jSpinner1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
jSpinner2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog
 
JSpinnerDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

JSpinnerDialog class is similar to JOptioPane.showInputDialog()
    but with a JSpinner instead of a JTextField.

JSpinnerDialog(GINNet, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog

Creates the dialog

jt - Variable in class fr.loria.cortex.ginnet.gui.JTableEx

The two jtables

JTabbedPaneClose - Class in fr.loria.cortex.ginnet.gui

JTabbedPane with closeable tabs.

JTabbedPaneClose() - Constructor for class fr.loria.cortex.ginnet.gui.JTabbedPaneClose

Constructor.

JTableEx - Class in fr.loria.cortex.ginnet.gui

JTableEx Class is a Custom JTable with row header and scrollpane.

JTableEx(TableModel, int) - Constructor for class fr.loria.cortex.ginnet.gui.JTableEx

Create a new JTable with row header

JTableRowEditor - Class in fr.loria.cortex.ginnet.gui.data

A modified JTable that allows different cell editor to each row

JTableRowEditor() - Constructor for class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Creates a JTableRowEditor with no RowEditorModel

JTableRowEditor(TableModel, RowEditorModel) - Constructor for class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Creates a JTableRowEditor with a RowEditorModel

jTextField1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog
 




K

keepone - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
keepone_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog

Called when the user clicks on "keep one" button.

kernelFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Neighborhood function (ex: Bubble, Gaussian, ...).

kernelFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KohonenCommandPanel

Panel in which to choose kernel function

keyPressed(KeyEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel.TestPatternSpinnerListener
 
keyReleased(KeyEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel.TestPatternSpinnerListener
 
keyTyped(KeyEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel.TestPatternSpinnerListener
 
KMDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

KMDialog is a dialog used to create a K-means.

KMDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Creates and shows a new dialog to create a K-Means.

KMeans - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans

KMeans class represents a KMeans algorithm.

KMeans(int, int, AbstractLearningRateFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Constructs a specified number of clusters with the specified dimension and type "KMeans".

KmeansCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

KMeansCommandPanel is a command panel to control a KMeans network.

KmeansCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel

Creates a K-Means command panel

KMeansEuclideanAggregatingFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions

Basic aggregation for KMeans.

KMeansEuclideanAggregatingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.KMeansEuclideanAggregatingFunction
 
KMeansIVisitor - Interface in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans

KMeansIVisitor implements visitor design pattern for elements of KMeans.

KMeansView - Class in fr.loria.cortex.ginnet.gui.tabs.network

KMeansView is a panel displaying a KMeans.

KMeansView(KMeans, int[], Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.KMeansView

Builds a view of given KMeans.

kMinus - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Positive and negative locus of propagated activity

Kohonen - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen

Kohonen class represents a kohonen network.

Kohonen(int, int[], float, AbstractTopologyFunction, AbstractKernelFunction, AbstractLearningRateFunction, AbstractStoppingFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Constructs a Kohonen's self-organising map with the specified sizes, input dimension, topological neighborhood function and kernel neighborhood function and with type "Kohonen".

Kohonen(int, int[], AbstractTopologyFunction, AbstractKernelFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Constructs a Kohonen's self-organising map with the specified sizes, input dimension, topological neighborhood function and kernel neighborhood function and with type "Kohonen".

KohonenCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

KohonenCommandPanel class describes the command panel to control a kohonen network.

KohonenCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KohonenCommandPanel

Constructs command panel for a Kohonen.

KohonenCommandPanel(String) - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KohonenCommandPanel

Constructs command panel for a Kohonen with given title.

KohonenDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

KohonenDialog is dialog used to create a kohonen map.

KohonenDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog

Creates and shows a new dialog to create a Kohonen.

KohonenNode - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen

Kohonen Node class is used in a competitivePopulation.

KohonenNode() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.KohonenNode

Constructs a Kohonen node

KohonenNode(int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.KohonenNode

Constructs a Kohonen node with given size

KohonenView - Class in fr.loria.cortex.ginnet.gui.tabs.network

KohonenView is a panel displaying a Kohonen map.

KohonenView(Kohonen, int[], Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.KohonenView

Builds a view of given Kohonen.

kPlus - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Positive and negative locus of propagated activity





L

label - Variable in class fr.loria.cortex.ginnet.data.Data

Column names

label - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
label - Variable in class fr.loria.cortex.ginnet.gui.graphs.InputNeuronGraph
 
label - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Label associated with this neuron and displayed next to it

LABEL_COLUMN - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of the label variable type in corpus saved file (Labels are Strings)

labelColumnBox - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.CategorizationCorpusExporter

ComboBox for label column choice

labelColumnBox - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.ClassificationCorpusExporter

ComboBox for label column choice

labelCorpus - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog
 
labelcycle - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Learn cycle label

labelInfoFunction - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
labelInitialNodes - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
labelinput - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
labelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
labelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
labelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
LabelledPatterns - Interface in fr.loria.cortex.ginnet.dynnet.corpus.patterns

LabelledPatterns describes patterns that contain labels.

labeloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
labeloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
labeloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
labels - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

Labels

labels - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

List of all labels (without redundancy)

labels - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
labels - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Labels of the node patterns : Hashtable associating for each label the list of pattern indexes having this label
 
For example if you have three labels in your corpus : a, b and c and all patterns reprentated by given node
 have label a or c, this hashtable will have two keys : a and c, and for each key, the indexes of patterns represntated by this node

labels - Variable in class fr.loria.cortex.ginnet.gui.dialogs.HoKashyapDialog
 
labels - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AbstractStatsTableModel

Rows and columns labels

labels - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Rows and columns headers

labels - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
labels - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
labelsPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
lastAction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

A constant telling which is the last action done by pruning method

lastDelivered - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron
 
lastDesired - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron
 
lastEpoch - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread

Epoch of the neural network at last stopping

lastError - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Backup of last error value

lastError - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Last error of the network

lastEval - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Another value returned by the same evaluation criterion.


lastKFF - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Last feed-forward winner

lastMessage - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
lastModelNbVar - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
lastModelRp2 - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
lastNode - Variable in exception fr.loria.cortex.ginnet.dynnet.trees.NoClassPredictedException

Last node predicted - the nearest prediction

lastPatternIndex - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Index of the last pattern presented to the network

lastProgress - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
lastPrunedComponents - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

List of components pruned while current iteration

lastRemovals - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

List of last removals

lastRp2 - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion
 
lastWinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Last winner node

lay - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Associated GraphLayer object

layer - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.PerceptronView

Network topology

Layer(int, short, double[][], double[]) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer

Creates a new layer.

LAYER_CLASS_CODE_1 - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

First part of the Layer class code to copy into target Java file

LAYER_CLASS_CODE_2 - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Last part of the Layer class code to copy into target Java file

LAYER_CLASS_CODE_GIBBS - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Part of the Layer class code to copy into target Java file if network uses Gibbs transfert function

LayerGraph - Class in fr.loria.cortex.ginnet.gui.graphs

LayerGraph is a graphical representation of a layer.

LayerGraph(int, int, AbstractTransferFunction) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Creates a GraphLayer

layout - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Array used to store the layouts of multi layer perceptron

layoutChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Called when the slider value changed

layoutLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
layoutLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Label displaying layout infos (cols * rows values)

LayoutPanel - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels

LayoutPanel is a generic panel that can be used to set the values
 of a layout, i.e. a number of inputs and its (cols * rows) layout.

LayoutPanel(int, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Creates a new LayoutPanel

layouts - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
layouts - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel
 
layoutSlider - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
layoutSlider - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel
 
lblLearning - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
lblUpdate - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
learn() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
learn() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner
 
learn() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Performs learning on all learn patterns.

learn() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Trains a neural network.

learn() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Performs learning on all learn patterns, i.e. build a decision tree with first non attribute variable as class to predict.

LEARN - Static variable in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Learn pattern type

LEARN_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Learn color

LEARN_LINE - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of learn patterns in file

learnButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Learn/Stop button

learnButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Called when the user clicks on "learn" button

learnButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
learnButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel
 
learnButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
learnCF - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Learn confusion matrix

learnerClass - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Class of the learners to create

learnError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Last learn error of the meta-learner

learnError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Last learn error computed

learnError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler

Last learn error or NaN if network has never learn

learnError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Last learn error computed

learnError - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Mean error for all learn patterns

learnError - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
learnError - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
learnErrorLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Learn error label

learners - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Group of single supervised learners of the meta-learner
 
Single supervised learners can be Perceptron or tree
 or any other supervised method that implements SingleSupervisedLearner

learners - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
learners - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
learners - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner
 
learnIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
learnIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
LEARNING - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
learningFunctionChanged() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Called when learning rate function is changed.

learningRate - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

The learning rate

learningRateFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

The learning rate function

learningRateFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Learning rate function choice panel

learnLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Learn patterns proportion

learnMessage - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
learnPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel that regroup all learning parameters and actions

learnPatterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

List of patterns selected for training

leftLearnPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel, placed in left side of learnPanel and containing learn button and test check boxes

leftmargin - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

Left margin, in pixels

leftmargin - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Left margin, in pixels

legend - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
LEGEND_WIDTH - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubPanel

The width of the legends

LerayEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria

This class implements an evaluation criterion presented by Leray in Feature Selection with neural network.

LerayEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.LerayEvaluationCriterion

create a Leray's evaluation criterion.

LICENSE_FOR_GENERATED_CODE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

The name of the file containing the license text that should be added to generated code and Jar

LICENSE_TARGET_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Target file name of the english license

LikelihoodErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

LikelihoodErrorFunction

LikelihoodErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.LikelihoodErrorFunction

Creates a new error function of type "Likelihood"

limit - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Current limit to split patterns into branch (for continue attribute)

LINEAR - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample
 
LinearTransferFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions

TransferFunctionLinear describes a linear transfert function.

LinearTransferFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.LinearTransferFunction

Creates a new transfert function of type "Linear"

LineRenderer - Class in fr.loria.cortex.ginnet.gui.dialogs
 
LineRenderer() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.LineRenderer

Constructor.

LineTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

TopologyFunctionLine class represents a topology function where nodes are in line (in 1 dimension).

LineTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.LineTopologyFunction

Constructs a new topology function with name "Line"

ListLabelledPatternsImpl - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl

ListLabelledPatternsImpl describes a list implementation of LabelledPatterns.

ListLabelledPatternsImpl(int, int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

Initializes a list implementation of LabelledPatterns

ListPatternsImpl - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl

ListPatternsImpl implements Patterns interface with ArrayList.

ListPatternsImpl(int, int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Initializes a list implementation of Patterns.

ListTargetedLabelledPatternsImpl - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl

ListTargetedLabelledPatternsImpl is an ArrayList implementation of patterns that contains targets and labels.

ListTargetedLabelledPatternsImpl(int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl

Constructs patterns labelled and targetted.

ListTargetedLabelledPatternsImpl(int, int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl

Constructs patterns labelled and targetted.

ListTargetedPatternsImpl - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl

ListTargetedPatternsImpl proposes an ArrayList implementation of targeted patterns.

ListTargetedPatternsImpl(int, int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl

Initializes a list implementation of TargetedPatterns.

listUpdated() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandablePanel

Called when the users change learn/test/valid lists

listUpdated() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Called when corpus learn/test/valid lists have been updated

listUpdated() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Called when corpus learn/test/valid lists have been updated

load() - Method in class fr.loria.cortex.ginnet.data.AbstractDataLoader

Loads datas.

load() - Method in class fr.loria.cortex.ginnet.data.BinaryFileDataLoader

Loads the loading of the binary file into internal Data Object

load() - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Loads the data in the internal data object

load() - Method in class fr.loria.cortex.ginnet.data.TextFileDataLoader

Loads the data

loadDelimited() - Method in class fr.loria.cortex.ginnet.data.TextFileDataLoader

Loads the data using delimiter

loader - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Current class loader for the model from DynNet generated

loadFixedSize() - Method in class fr.loria.cortex.ginnet.data.TextFileDataLoader

Loads the data using fixed size for each column

loadNetwork(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Loads a network

loadNetworkMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Network loading menu

loadSolution() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Restores all the connections values saved (in the Connection ArrayList attribute).

loadTree(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Loads a tree.

log2(double) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Entropy

Computes the binary log

LongTask - Class in fr.loria.cortex.ginnet.dynnet.utils.task

LongTask class represents a class that may perform a long task
 that needs a LongTaskDisplayer to inform the user about task progression.

LongTask() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.task.LongTask
 
LongTaskDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

JFrame implementation of LongTaskDisplayer.

LongTaskDialog(JDialog, String, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog

Constructs a new frame long task displayer with given title.

LongTaskDialog(JFrame, String, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog

Constructs a new frame long task displayer with given title.

LongTaskDisplayer - Interface in fr.loria.cortex.ginnet.dynnet.utils.task

LongTaskDisplayer allow different implementation of progression display.





M

M - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
 
main(String[]) - Static method in class fr.loria.cortex.ginnet.data.GeologicCodeEncoder

Main method

main(String[]) - Static method in class fr.loria.cortex.ginnet.data.HoKashyap
 
main(String[]) - Static method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample

Main function allowing to quickly perform supervised neural network computation.

main(String[]) - Static method in class fr.loria.cortex.ginnet.gui.GINNet

Program entry point

mainPanel - Variable in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab
 
mainPanel - Variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab
 
mainPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
majorCategory(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Tests if a category is majoritary

MajorityVoteCombiner - Class in fr.loria.cortex.ginnet.dynnet.metalearners.combiners

The majority decides.

MajorityVoteCombiner() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner
 
makeJar(File, Manifest, File) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker

Makes given Jar file, from given manifest file and given directory to compress

makeJar(File, Manifest, File, String[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.JarFileMaker

Makes given Jar file, from given manifest file and given directory to compress

manageSymbolicalAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Tells if meta-learner can manage symbolical attributes
 or only numerical attributes
 (i.e. if sub-learner model can manage them)

manageSymbolicalAttributes() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory
 
manageSymbols - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory
 
mapPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KohonenDialog
 
MARK_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Foreground color of a mark displayed in combiner panel

markFormat - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
markLabel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
matrixMultiply(Data, double[][]) - Static method in class fr.loria.cortex.ginnet.data.Data

Multiplies data matrix

matrixProduct(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

multiply two vectors

matrixProduct(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

multiply two vectors

max - Variable in class fr.loria.cortex.ginnet.gui.BarChart

Y-Max data

max - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
max - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Max data

max - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Minimum and maximum value of the neuron contained in this layer

max - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Minimum and maximum value of the neuron contained in this layer

MAX_ITERATION - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath
 
MAX_PATTERNS - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

The maximum number of patterns treated in PCA to speed up the computing
  Others patterns are ignored

MAX_RESIZED_COLUMNS - Static variable in class fr.loria.cortex.ginnet.gui.JTableEx

Maximum number of columns to resize.

MAX_VALUE - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

The maximum value of a supervised connection

maxBondAge - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Maximum age of a bond (All older bonds will be deleted)

maxBondAge - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Maximum age of a bond

maxBondAgeSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.NeuralGasCommandPanel

Select maximal age of a bond

maxButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Maximum radio button

maxEpoch - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction

Number of cycle to reach

maxError - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion

Maximal error to reach

MaximizeStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

This class defines a criterion which stop search methods.

 Stop searching when new model doesn't maximize evaluation

MaximizeStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MaximizeStoppingCriterion

create a maximizing stopping criterion

maxSize - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Maximum number of nodes

maxTime - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Number of cycles

maxTime - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Number of cycles

maxtxt - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
mbb - Variable in class fr.loria.cortex.ginnet.data.BinaryFileDataLoader
 
mCrossValidation - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

The menu items (only the ones that can be disabled or hidden

mean - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The mean of the regression attribute of the elements of this node

meanD - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction
 
means - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
menuBar - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The menu bar

message - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Trace message

message - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

Message displayed to inform about task progress

META_LEARNER_PROGRESS - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Progress value when finishing sub learners saving

META_LEARNER_TAB_TITLE - Static variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of meta-learning tab

metaLearner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
metaLearner - Variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Meta-learner currently used

metaLearner - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
metaLearner - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
MetaLearnerCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels

The command panel of meta-learners

MetaLearnerCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel

Constructs meta learner command panel

MetaLearnerGUIVisitor - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning

MetaLearnerGUIVisitor is a visitor that visits meta-learner to display them into GUI.

MetaLearnerGUIVisitor(AbstractMetaSupervisedLearner) - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Constructs and initializes the visitor of meta-learner.

metaLearnerMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

"Meta-learner" menu

MetaLearnerResultPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting

MetaLearnerResultPanel display results of a meta-learner:
 
- its errors (learn, test and validation)
 
- its predictions

MetaLearnerResultPanel() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Constructs a new result panel for a meta-learner.

MetaLearnerSubComponent - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning

A MetaLearnerSubComponent is a sub-panel of meta-learning interface.

MetaLearnerSubComponent() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Constructs an empty MetaLearnerSubComponent.

MetaLearnerSubPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning

MetaLearnerSubPanel describes sub elements of the meta-learner GUI.

MetaLearnerSubPanel(String, String, MetaLearnerSubComponent) - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubPanel

Creates a sub panel.

MetaLearnerSubPanel(String, String, JPanel, JPanel) - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubPanel

Creates a sub panel.

metaLearnerTab - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Customized JPanel which is used to visualize meta-learner

MetaLearnerTab - Class in fr.loria.cortex.ginnet.gui.tabs

MetaLearner tab is the tab where meta-learners are displayed.

MetaLearnerTab(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Constructs a tab for any meta-learner

method - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction

Data-mining method to stop

method - Variable in class fr.loria.cortex.ginnet.dynnet.utils.results.ConfidenceComputer

Classification method to study

method - Variable in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Data-mining method currently used

methodTabs - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The active methods tabs

min - Variable in class fr.loria.cortex.ginnet.gui.BarChart

Y-Min data

min - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
min - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Min data

min - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Minimum and maximum value of the neuron contained in this layer

min - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Minimum and maximum value of the neuron contained in this layer

min_x - Variable in class fr.loria.cortex.ginnet.gui.BarChart

X-Min data

minButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Minimum radio button

minError - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Error to reach

minErrorSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Minimal error chooser

MinimizeStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

This class defines a criterion which stop search methods.

 Stop searching when new model doesn't minimize evaluation

MinimizeStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MinimizeStoppingCriterion

create a new minimize criterion

minInformationFunction - Variable in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

minimum Gini index for a node if the used information function is Gini

minmax - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
minMaxButtonGroup - Variable in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Buttons group containing "minimum" and "maximum" radio buttons

minMaxValues(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gives the min value and the max value of an attribute

minNodeCardinality - Variable in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

minimum Cardinality for a node if the used information function is Gini

mintest - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
mintxt - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
mNetSave - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

The menu items (only the ones that can be disabled or hidden

mNetSaveAs - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

The menu items (only the ones that can be disabled or hidden

mode - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Importation mode (1 == no mode, 2 == tokenized , 3 == fixed width)

mode - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Importation mode (1 == no mode, 2 == tokenized , 3 == fixed width)

mode - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Highlight mode (RED_TEXT, RED_BACKGROUND or GREEN_BACKGROUND)

model - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

The model on which the method works.

model - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractModelEvaluationCriterion

Training error's model

model - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractSimpleEvaluationCriterion

The model to evaluate

model - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion

Model

model - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Current model studied

model - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread

Data mining method currently displayed

model - Variable in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter
 
MODEL_FROM_DYNNET_CLASS - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Models from DynNet superclass

MODEL_FROM_DYNNET_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

The name of the Java file containing AbstractModelFromDynNet class

ModelFromDynNetCommentDialog - Class in fr.loria.cortex.ginnet.gui.jarexporting

ModelFromDynNetCommentDialog displays a dialog that allow to enter a comment describing model from DynNet to save.

ModelFromDynNetCommentDialog() - Constructor for class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetCommentDialog

Shows comment dialog.

ModelFromDynNetCreationException - Exception in fr.loria.cortex.ginnet.dynnet.methods

Exception that occurs while the creation of a model from DynNet.

ModelFromDynNetCreationException(String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Creates a new ModelFromDynNetCreationException not caused by the execution of a system command

ModelFromDynNetCreationException(String, String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Creates a new ModelFromDynNetCreationException caused by the execution of a system command

ModelFromDynNetCreationException(String, String, String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

Creates a new ModelFromDynNetCreationException caused by the execution of a system command

ModelFromDynNetExporter - Class in fr.loria.cortex.ginnet.gui.jarexporting

This class performs exporting to Jar file for any data-mining model.

ModelFromDynNetExporter(DataMiningMethod) - Constructor for class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter

Launches Jar saving for given model.

ModelFromDynNetFactory - Class in fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation
 
ModelFromDynNetFactory() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory
 
momentum - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Momentum

momentumSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
mostFrequent(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns the most frequent value

mouseClicked(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose
 
mouseClicked(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the user clicks on the panel.

mouseDragged(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Not implemented

mouseDragged(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Not implemented

mouseEntered(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose
 
mouseEntered(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Not implemented

mouseExited(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose
 
mouseExited(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the mouse exits the screen

mouseMoved(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the mouse is moved.

mouseMoved(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Called when the mouse pointer moves onto the panel.

mousePressed(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose
 
mousePressed(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Not implemented

mouseReleased(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.JTabbedPaneClose
 
mouseReleased(MouseEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Not implemented

moveAColumn(int, int) - Method in class fr.loria.cortex.ginnet.data.Data

Moves a column to another position

mSaveAsJar - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

The menu items (only the ones that can be disabled or hidden

MSEErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

MSEErrorFunction describes Mean Square Error error function.

MSEErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.MSEErrorFunction

Creates a new error function of type "MSE"

multiply(double[][], double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiplication of two matrix.

multiply(float[][], float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiplication of two matrix.

multiplyMatrix(double[], double[][]) - Static method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Mutiplies two matrix a and b.

multiplyMatrix(float[], double[][]) - Static method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Mutiplies two matrix a and b.

multiplyScalar(double[][], double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a matrix by a scalar.

multiplyScalar(float[][], float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a matrix by a scalar.

multiplyScale(double[], double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Multiply a vector by a scalar

multiplyScale(float[], float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Multiply a vector by a scalar

multiplyVector(double[][], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a matrix by a vector.

multiplyVector(double[], double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a vector by a matrix.

multiplyVector(float[][], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a matrix by a vector.

multiplyVector(float[], float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Multiply a vector by a matrix.

mx - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
my - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
MyFilter - Class in fr.loria.cortex.ginnet.gui

Filter for images format (screenshot menu item)

MyFilter(String) - Constructor for class fr.loria.cortex.ginnet.gui.MyFilter

Creates the filter with the specified extension

MySqlConnection - Class in fr.loria.cortex.ginnet.data

MySqlConnection is the class for MySql DataBase Loading.

MySqlConnection() - Constructor for class fr.loria.cortex.ginnet.data.MySqlConnection

Constructor.





N

n - Variable in class fr.loria.cortex.ginnet.gui.graphs.InputNeuronGraph
 
n - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Associated perceptron unit

name - Variable in class fr.loria.cortex.ginnet.data.Data

Corpus file name

name - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Corpus name

name - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Name of the variable

name - Variable in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Name

name - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
nb - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableRenderer

Number of lines to change color

nb - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Number of data

nb - Variable in class fr.loria.cortex.ginnet.gui.JTableEx
 
nb - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
nb - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
nb - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
nb - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Size (length and width) of the drawing square

NB_DASHED_LINE - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

Number of dashed lines

NB_DASHED_LINE - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Number of dashed lines

NB_ROWS - Static variable in class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Number of rows, i.e. number of fields informed

NB_ROWS - Static variable in class fr.loria.cortex.ginnet.gui.tabs.stats.SymbolicalStatsTableModel

Number of rows, i.e. number of fields informed

nbActiveUnits - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Current number of active neuron units

nbAttribute - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Number of attributes

nbAttribute - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Number of attributes in data matrix  = 
     Row and column dimension (square matrix).

nbAttribute - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
nbChanged - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Number of prototypes changed during last cycle

nbClassesLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
nbColumns - Variable in class fr.loria.cortex.ginnet.data.Data

Number of columns

nbCycleConstantError - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Number of cycles elapsed since error value didn't change

nbdb - Static variable in class fr.loria.cortex.ginnet.data.DBDataLoader
 
nbinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
nbinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
nbinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
nbinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Called when the number of input units spinner changes

nbinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Called when the input units number spinner changes

nbinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Called when the input number of units changed

nbInputs - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Number of inputs of the model

nbLearners - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Total number of learners trained by the meta-learner

nbLineHeader - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
nbMaxResampling - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Maximum number of boostrap resampling allowed

nbNeurons - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer

Number of output neurons of this layer

nboutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
nboutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
nboutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
nbOutput - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
nboutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Called when the number of output units spinner changes

nboutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Called when the number output input units spinner changes

nboutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Called when the output number of units changed

nbOutputs - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
nbPattern - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Number of patterns

nbPattern - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Number of patterns in data matrix

nbPattern - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
nbRows - Variable in class fr.loria.cortex.ginnet.data.Data

Number of lines

nbSec - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
nbSec - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
nbTarget - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl

Number of targets

nbTarget - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl

Number of targets

nbTarget - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
nbTestChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Called when proportion of test patterns changes.

nbunits - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
nbUnits - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel
 
nbunits_stateChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Called when the number of units changed

nbunits_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Called when the user changes the unit number

nbUnitsLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
nbValidationChanged() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Called when proportion of validation patterns changes.

nbVariable - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Number of variables

nbVoies - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
nbVoies - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
needresize - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

True if component needs resizing

neighborsLearningCoef - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
neighborsLearningRate - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Learning coefficient of the winner' neighbors

netFile - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Filename of the network

network - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Neural network commanded by the command panel

network - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Neural network currently loaded

networkMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Network menu

networkPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

NETWORKS_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store networks folder path

networkTab - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Customized JPanel which is used to visualize neural network

NetworkTab - Class in fr.loria.cortex.ginnet.gui.tabs

NetworkTab class is part of the UI dedicated to networks.

NetworkTab(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Create the Network visualization panel

networkTabTitle - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of network tab

networkView - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

JPanel displaying the network

NeuralGas - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas

NeuralGas class represents a Neural Gas network.

NeuralGas(int, int, AbstractLearningRateFunction, AbstractStoppingFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Constructs a new Neural Gas with type "NeuralGas".

NeuralGasCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

NeuralGasCommandPanel class describes the command panel to control a neural gas network.

NeuralGasCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.NeuralGasCommandPanel

Creates a new neural gas control panel

NeuralGasView - Class in fr.loria.cortex.ginnet.gui.tabs.network

NeuralGasView is a panel displaying a Neural Gas network.

NeuralGasView(NeuralGas, int[], Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.NeuralGasView

Builds a view of given Neural Gas

neuralNetwork - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Attached neural network

neuron - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Selected neuron to prune

NeuronGraph - Class in fr.loria.cortex.ginnet.gui.graphs

NeuronGraph is a graphical representation of a neuron.

NeuronGraph(int, int, LayerGraph) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Creates a GraphNeuron at the specified position in the layer

NeuronNodeGraph - Class in fr.loria.cortex.ginnet.gui.graphs

NeuronNodeGraph is a graphical representation of a node.

NeuronNodeGraph(Node, int, int, LayerGraph) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

Creates a GraphNeuron associated with a Node

NeuronPruner - Interface in fr.loria.cortex.ginnet.dynnet.methods.management

Embedded neuron selection method that prune neuron units.

NeuronUnit - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

Unit class represents a unit.

NeuronUnit() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.NeuronUnit

Constructs a basic neuron and initialize every field with 0

NeuronUnitGraph - Class in fr.loria.cortex.ginnet.gui.graphs

NeuronUnitGraph is a graphical representation of a unit.

NeuronUnitGraph(int, int, LayerGraph, Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Creates a GraphNeuronUnit associated with no Unit object (for bias)

NeuronUnitGraph(int, int, LayerGraph, Patterns, boolean) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Create a GraphNeuronUnit associated with no Unit object (for bias)

NeuronUnitGraph(NeuronUnit, int, int, LayerGraph, Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Create a GraphNeuronUnit associated with a Unit object

NeuronUnitGraph(NeuronUnit, int, int, LayerGraph, Patterns, boolean) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Create a GraphNeuronUnit associated with a Unit object

newEval - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Value returned by an evaluation criterion.


newInstance(GINNet) - Static method in class fr.loria.cortex.ginnet.gui.GINNetThread

Create a new instance of the thread

NGDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

NGDialog is a dialog used to create a neural gas.

NGDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Creates and shows a new dialog to create a Neural Gas.

no - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
NO_INITIALIZATION - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

No weights re-initialization

NO_RESTRICTION - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

Defines constant for no restriction.

 Should be used if task, or method are not restricted.

NoClassPredictedException - Exception in fr.loria.cortex.ginnet.dynnet.trees

Exception that occured when a decision tree is unable to predict the class of a pattern.

NoClassPredictedException(String, TreeNode) - Constructor for exception fr.loria.cortex.ginnet.dynnet.trees.NoClassPredictedException

Constructs the exception

node - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

Associated node

node - Variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Associated tree node object

Node - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks

Node class is used in a competitivePopulation.

Node() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Contructor

Node(int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Constructor for Node

nodeCardinality - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

the number of patterns contained by this node

nodes - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

List of nodes of the population

noInitButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Initialization radio buttons

norm(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compute the norm of a vector

norm(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compute the norm of a vector

normalize(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Normalize all values so that their sum will equal 1.

normalize(float[], float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Normalize all values so that their sum will equal given expected sum.

normalizeColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

normalizes the data in a column between [0, 1]

normalModels - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Number of models built independantly (e.g. bagging)

normEquals(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vector's norm

normEquals(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vector's norm

numberOfCycles - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion

Number of pruning cycles to do

NUMERICAL - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Numerical attribute type

NUMERICAL_COLUMN - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of the numerical attribute variable type in corpus saved file

NUMERICAL_MODEL_FROM_DYNNET_CLASS - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Numerical models from DynNet superclass

NUMERICAL_MODEL_FROM_DYNNET_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

The name of the Java file containing AbstractNumericalModelFromDynNet class

NumericalAttribute - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns

SymbolicAttribute describes an Attribute with a String value.

NumericalAttribute() - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.NumericalAttribute

Creates an unknown numerical attribute.

NumericalAttribute(float) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.NumericalAttribute

Construcst a numerical attribute with given value.

numericalStatsTable - Variable in class fr.loria.cortex.ginnet.gui.tabs.StatsTab
 
NumericalStatsTableModel - Class in fr.loria.cortex.ginnet.gui.tabs.stats

NumericalStatsTableModel is the table model describing numerical attribute statistics and only them.

NumericalStatsTableModel(Data) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.stats.NumericalStatsTableModel

Creates a StatsTableModel from the specified Data object

NumericEntries - Interface in fr.loria.cortex.ginnet.dynnet.methods.entries

NumericEntries are Entries containing (only) numerical attributes and targets.

NumericEntriesException - Exception in fr.loria.cortex.ginnet.dynnet.methods.entries

NumericEntriesException is an exception that occur when a cast into NumericEntries
 is tried while those entries are not numeric.

NumericEntriesException() - Constructor for exception fr.loria.cortex.ginnet.dynnet.methods.entries.NumericEntriesException

Default constructor.

numerizedPatterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Array of numerized Patterns Object previously made from current Object
 and used to be updated when current Patterns are changed

NumerizePatternsDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

This dialog allow to transform one or more symbolic attributes into numerical attributes.

NumerizePatternsDialog(Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog

Constructs a Dialog to transform symbolic attributes into numerical ones.





O

o - Variable in class fr.loria.cortex.ginnet.gui.BarChart

The data

obdClass - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Class of embedded method to instanciate

OBDDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.featureselection

This dialog allow configuration and launching of all OBD-like pruning methods,
 like Optimal Brain Damage and Optimal Cell Damage.

OBDDialog(Perceptron, Class, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Creates a new dialog for any filter, displaying method results
 and allowing effective variable selection.

OBDTableModel - Class in fr.loria.cortex.ginnet.gui.dialogs

Table model for the preview table

OBDTableModel() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Creates an empty ImportTableModel

OBDTableModel(Vector) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Creates a ImportTableModel.

OCDSaliencyEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria

Saliency evaluation criterion for Optimal Cell Damage algorithm.

OCDSaliencyEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion

Default constructor.

offline - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel

Off-line button

offscreenGraphics - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Offscreen Graphics object

offscreenImage - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Buffered image

ok - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
ok - Variable in class fr.loria.cortex.ginnet.gui.dialogs.CrossValidDialog

True if user clicked on "ok", false otherwise

ok - Variable in class fr.loria.cortex.ginnet.gui.dialogs.JSpinnerDialog

True if user chooses ok, false otherwise

ok - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
ok - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
ok_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
ok_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog

Called when the users clicks on "ok" button

ok_actionPerformed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog

Called when the users clicks on "ok" button

okButton - Variable in class fr.loria.cortex.ginnet.gui.corpusexporters.AbstractCorpusExporter

OK button

okButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
okButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.dialogs.CorpusCommentDialog

Called when OK button is pressed.

okButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Sets percentage where OK button is pressed, before closing the dialog.

okButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetCommentDialog

Called when OK button is pressed.

okCancelPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
oldnb - Variable in class fr.loria.cortex.ginnet.gui.graphs.DynamicLayerGraph

old number of connections

oldProgress - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Old value for progress state

online - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel

On-line button

onlyUndefTarget(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Returns true if there is only undefined target in the elements List

onOffLineButtonGroup - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel

On-line and Off-line button group

openCorpus() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
OptimalBrainDamage - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

This class implements Optimal Brain Damage algorithm for Perceptron pruning.

OptimalBrainDamage(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainDamage

Default constructor.

OptimalBrainDamage(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion, short, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainDamage

Complete constructor.

OptimalBrainSurgeon - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

This class implements Optimal Brain Surgeon algorithm for Perceptron pruning.

OptimalBrainSurgeon(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainSurgeon

Default constructor.

OptimalBrainSurgeon(Perceptron, AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion, short, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalBrainSurgeon

Complete constructor.

OptimalCellDamage - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

This class implements Optimal Cell Damage algorithm for neural network pruning.

OptimalCellDamage(Perceptron, AbstractModelStoppingCriterion, OCDSaliencyEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalCellDamage

Default constructor.

OptimalCellDamage(Perceptron, AbstractModelStoppingCriterion, OCDSaliencyEvaluationCriterion, short, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.OptimalCellDamage

Complete constructor.

originalEntries - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries

The reference to the original Entries object
 that keeps all input values and original informations

otherRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
others - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
output - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.NeuronUnit

The output value of this unit

outputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
outputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
outputh - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
outputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
outputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
outputw - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 




P

p - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
p - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Main window

p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AberrantDialog
 
p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
p - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
page - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard

Number of the current page

page - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Page number

page1 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
page1 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
page2 - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
page2 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
page3 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.BarChart

Paints the data on the screen

paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph

Paints the object

paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Paints the component

paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Draws the tree on screen

paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
paint(Graphics) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Paints buffer image.

paintActive - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
paintActive() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the uses clicks on "Hide" or "Show" button

paintIcon(Component, Graphics, int, int) - Method in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
PALE_ANSWER_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Background color of a sub-learner answer displayed in sampler panel

PALE_LEARN_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale learn color

PALE_MARK_COLOR - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Background color of a mark displayed in combiner panel

PALE_TEST_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale test color

PALE_VALIDATION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale validation color

panelAddRemove - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
panelAlgos - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelArch - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
panelArchi - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
panelArchi - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
panelArchi - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
panelButtons - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelCartParams - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelCartParamsCenter - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelCartParamsEast - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelCenter - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelCorpus - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog
 
PanelDataExport - Class in fr.loria.cortex.ginnet.gui

JFileChooser extension panel for data exportation

PanelDataExport(boolean) - Constructor for class fr.loria.cortex.ginnet.gui.PanelDataExport

Creates the extension panel

panelGlobal - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelGlobal - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog
 
panelGlobalParams - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelGlobalParamsNorth - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelGlobalParamsSouth - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
panelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
panelinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
paneloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
paneloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
paneloutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
panelParams - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelTest - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
panelTestFields - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
parent - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The parent node of this node

parent - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
parent - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
partition(int, int, int) - Method in class fr.loria.cortex.ginnet.data.Data
 
pass - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
passivateAllEntries() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter

Desactivates all attributes.

password - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

Password

path - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Value of the path

pathField - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

TextFiled where path is displayed

patternBorder - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
patternLabels - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

List of labels per pattern (line = pattern and column = label)

patternLabels - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
patternList - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

List of patterns (for KMeans algo for example)

patternMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
patterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Pattern attributes of the corpus

patterns - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Neural network's patterns

patterns - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog

Patterns of the future created network

patterns - Variable in class fr.loria.cortex.ginnet.gui.dialogs.NumerizePatternsDialog

Patterns to numerize

patterns - Variable in class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog

Patterns to standardize

patterns - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.PerceptronView

Patterns of network currently loaded
 
Patterns are saved into a class variable cause they can be different from corpus
 (in case of numerization)

patterns - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Patterns of network currently loaded
 
Patterns are saved into a class variable cause they can be different from corpus
 (in case of numerization)

Patterns - Interface in fr.loria.cortex.ginnet.dynnet.corpus.patterns

Patterns describes all operations needed by a file corpus to manage its patterns.

PatternSeparationDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.patterns

Dialog used to separate patterns in different types.

PatternSeparationDialog(String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.patterns.PatternSeparationDialog

Creates a dialog to separate patterns

patternsPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
patternsValuesAreAllTheSame(int[], int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns true if all elements have the same value for the pointed attribute

pca - Variable in class fr.loria.cortex.ginnet.data.Data

A reference to Principal Component Analysis object relative to datas

pca - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl

Principal Component Analysis

pca - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

PCA object

PCA - Class in fr.loria.cortex.ginnet.dynnet.corpus

Principal Componant Analysis

PCA(double[][]) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Constructs a Correlation matrix PCA.

PCA(double[][], int) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Constructs a Principal Component Analysis from given datas

PCADialog - Class in fr.loria.cortex.ginnet.gui.dialogs

PCADialog is a dialog for PCA.

PCADialog(GINNet, Data) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.PCADialog

Creates the dialog

percentage - Variable in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Percentage of tolerance selected or -1 if no value has been selected

percentageSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.EquiprobabilityDialog

Spinner where to choose percentage of tolerance

perceptron - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Network studied

perceptron - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Network studied

Perceptron - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron

Perceptron class represents a Perceptron.

Perceptron(int[], AbstractTransferFunction[], boolean, NumericEntries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Creates a perceptron with type "Perceptron" and default learning values,
 its populations and connects them.

Perceptron(int[], AbstractTransferFunction[], float, float, boolean, AbstractLearningRateFunction, AbstractStoppingFunction, AbstractErrorFunction, NumericEntries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Creates a perceptron with type "Perceptron", its populations and connects them.

Perceptron(NumericEntries, boolean) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Creates a default perceptron with 2 layers.

PerceptronCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

PerceptronCommandPanel class describes the command panel to control a perceptron network.

PerceptronCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Creates a perceptron command panel

PerceptronConnection - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron

A connection of a Perceptron network.

PerceptronConnection(NeuronUnit, NeuronUnit) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection

Constructs a connection between two Units and initializes its weight between [0,1[

PerceptronDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

PerceptronDialog is a dialog used to create a Perceptron.

PerceptronDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Creates and shows a new dialog to create a Perceptron.

PerceptronLayerGraph - Class in fr.loria.cortex.ginnet.gui.graphs

PerceptronLayerGraph is a graphical representation of a perceptron layer.

PerceptronLayerGraph(int, int, AbstractTransferFunction) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.PerceptronLayerGraph

Create a GraphLayer for Perceptron

PerceptronProjection - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron

A PerceptronProjection is a projection of a Perceptron network,
 that manages links between two layers of the Perceptron.

PerceptronProjection() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronProjection
 
PerceptronView - Class in fr.loria.cortex.ginnet.gui.tabs.network

PerceptronView is a panel displaying a Perceptron.

PerceptronView(Perceptron, int[][], Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.network.PerceptronView
 
permut(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
permut(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
permut(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Permuts patterns elements from begin to end

PermutationStoppingFunction - Class in fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions

PermutationStoppingFunction class represents a stopping criterion for any unsupervised network.

PermutationStoppingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction
 
permute() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Permutes patterns

permutPatterns(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
permutPatterns(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
permutPatterns(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
permutPatterns(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
permutPatterns(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
permutPatterns(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Permuts two patterns.

personalLearnPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel that contains parametrisations specific to a neural network

popcolumn - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
population - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Each competitive algorithm has one population

population - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Population containing the selected neuron

populationIndex - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Index of the population containing the selected neuron

populations - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

All populations of the network

pos - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
position - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Position of the connection on its projection

position - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Position of the neuron on its population

position - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
Position - Class in fr.loria.cortex.ginnet.gui.visitor

Position

Position() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.Position

Constructs an empty position.

preferences - Variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Java Preferences

PREFERENCES_FILE - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

File where to save DynNet preferences

PreferencesDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.preferences

PreferencesDialog is a dialog where to watch/edit preferences saved in preference file.

PreferencesDialog() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Creates, initializes and show Preferences dialog.

prepareData() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Prepare data and correlation matrix

preparePotentialSplitValues(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Prepares the potential split values as Gini needs to do (i.e.: to get all median values)

preprocessingMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
presentPattern(int, AbstractErrorFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Present a pattern to the network and updates lastDesired and lastDelivered outputs.

preview - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
printStackTrace() - Method in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException
 
printStats(String, AbstractStatsTableModel, String) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Exports the data simple statistics to String

probabilities - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

% of elements going to each children
 If node is leaf, probabilities is the proportion of targeted class

progress - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Current progress state (between 0 and 100)

progressBar - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
projection - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Projection containing selected connection

Projection - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

Projection class manages links between populations.

Projection() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection
 
projections - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

All projections of the network

propagate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Computes value of unit in each layer and call transfert functions.

propagationSpeed - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Propagation speed of feed-forward activation (v)

prototype - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Prototype for the node

PrunableComponent - Interface in fr.loria.cortex.ginnet.dynnet.methods.management
 
prune() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Gets elements to prune selected by evaluation criterion (components with low sensibility)
 and deletes then from network until minimal configuration is reached

prunedComponents - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

List of lists of pruned components (a list for each pruning iteration)

prunedElements - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

List of elements (connections or neurons) to prune

prunedVariableList - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.AbstractWrapper

List of all input neurons pruned

pruner - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkManager

the FeatureSelection associated with THIS SupervisedNetworkManager.

PRUNING - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Last action is a pruning cycle

pruningDialog - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab
 
PruningException - Exception in fr.loria.cortex.ginnet.dynnet.methods.management

A PruningException is an exception that occured while pruning.

PruningException(String) - Constructor for exception fr.loria.cortex.ginnet.dynnet.methods.management.PruningException

Default constructor.

pruningMethod - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

OBD method created

pruningMethod - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

OBD method created

pseudoEquals(double[][], double[][], double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compare two matrix with an epsilon approximation.

pseudoEquals(double[], double[], double) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vectors equality modulo epsilon

pseudoEquals(float[][], float[][], float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compare two matrix with an epsilon approximation.

pseudoEquals(float[], float[], float) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compare two vectors equality modulo epsilon

pseudoInverse(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the pseudo-inverse of a matrix

pseudoInverse(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the pseudo-inverse of a matrix





Q

quantity - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyQuantityEvaluationCriterion

Quantity of connections to prune

query - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader
 
query - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
quickSort(int, int, int) - Method in class fr.loria.cortex.ginnet.data.Data
 




R

raf - Variable in class fr.loria.cortex.ginnet.data.BinaryFileDataLoader
 
raf - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
raf - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
random - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Random generator

random - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM
 
RANDOM_INITIALIZATION - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Random initialization of network's weights

randomInitButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Initialization radio buttons

randomize() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias

Initializes the bias value with a random value between 0 and 1.

randomize(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias

Initializes the bias value to a random value between [min,max[

randomize(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Randoms connections (value = min..max)

randomize(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Initializes its weight to a random value between [min,max[

randomizeConnections(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Sets connections value to a random number between min and max

randomizeConnections(int, float, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Randomizes connections (value = min..max) of a specific projection

randomizeY() - Method in class fr.loria.cortex.ginnet.data.HoKashyap
 
randomMaxLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Title of random maximum value

randomMaxTextField - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Maximum value for random initialization

randomMinLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Title of random minimum value

randomMinTextField - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Minimum value for random initialization

rate - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

1 for winner node and 0 otherwise

raztestPanel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Raz Test Panel

reactivateRun() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog
 
readEEG(long) - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Reads EEG file.

readFile(String, ClassLoader) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.IOMethods

Reads the content of given file.

 (This file can be in current executed jar)

readNext() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Reads next data block.

readPrevious() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Reads previous data block.

readSecond(long) - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Reads data block from given second

readSecond(String) - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader

Reads data block from given second.

recap - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
recodeAllColumnContainingExpression(String, String, boolean, String) - Method in class fr.loria.cortex.ginnet.data.Data

Affects a numerical value to a cell containing an expression (usefull for target encoding) in all columns

RecodeCellDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

RecodeCellDialog is a dialog used to recode data cells.

RecodeCellDialog(GINNet, int) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog

Creates the dialog

recodeColumnContainingExpression(int, String, String, boolean, String) - Method in class fr.loria.cortex.ginnet.data.Data

Affects a numerical value to a cell containing an expression (usefull for target encoding)

RectTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

RectTopologyFunction describes a topology function where map is rectangular (in 2 dimensions) so each node has 4 neighbors.

RectTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RectTopologyFunction

Constructs a topology function with name "Rect"

RED_BACKGROUND - Static variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Mode: display cell in red

RED_TEXT - Static variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Mode: display cell text in red

RedundantDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

RedundantDialog is a dialog used to find and delete redundant lines.

RedundantDialog(GINNet, Vector) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog

Creates the dialog

refresh - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
refresh - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Boolean telling if model should be displayed or hide

refresh(boolean) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Tells if view shoulb be displayed/refreshed or not

refreshed() - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Tells if visitor GUI is displayed or not.

refreshGraph() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Refreshes view of the graph of the command panel

regression - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Boolean set at true if meta-learner is used for regression
 and false if it is used for classification.

regression - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Boolean telling if learners to create will be used for regression or not

regression - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork
 
regression - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

true  if algorithm produces a regression tree
  false if algorithm produces a classification tree

REGRESSION_TASK - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion
 
RegressionMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface describes common points of all regression methods.

reloadBestButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
reloadBestNetwork() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Reloads best connections.

reloadBestNetworkEnabled - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
remove(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

Removes the specified element of the model's structure.

remove(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Removes the specified element of the model's structure.

remove(PrunableComponent) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Removes the specified element of the model's structure.

remove(Bond) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Removes given bond and destroys it.

remove(SelectedConnection) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.management.ConnectionPruner

Removes a selected connection from the model.

remove(SelectedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Removes a selected connection from the model.

remove(SelectedNeuron) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.management.NeuronPruner

Removes a selected neuron from the model.

remove(SelectedNeuron) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper
 
remove(SelectedNeuron) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Removes a selected neuron from the model.

remove(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Removes the unit

remove(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Removes the unit

remove(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Remove the connection

remove(SupervisedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Removes a given connection.

removeAttribute(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
removeAttribute(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
removeAttribute(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Removes an attribute.

removeAverageFromColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

removes average of the column from each value of the column

removeColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Removes a column from the data

removeConnectionsRelativeTo(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation
 
removeConnectionWithUnit(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Removes all the connection and bias in which the Neuron u is concerned.

removeData(DataTab) - Method in class fr.loria.cortex.ginnet.gui.GINNet

Remove a TabData from the tabs

removeEditorForRow(int) - Method in class fr.loria.cortex.ginnet.gui.data.RowEditorModel

Removes the TableCellEditor for the specified row

removeLine(int) - Method in class fr.loria.cortex.ginnet.data.Data

Removes a line from the data

removeLine2(int) - Method in class fr.loria.cortex.ginnet.data.Data

Removes a line from the data.

removeNeuronUnit(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Removes a neuron unit and all its linked components (input and ouput connections of the neuron).

removeNode(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Removes given node from population.

removePattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
removePattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
removePattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
removePattern(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Totally removes given pattern.

removePattern(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries

Removes given pattern from corresponding pattern list

removePattern(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
removePattern(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
removePattern(int, int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Removes given pattern of given type.

removePopulation(SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Removes a population

removeProjection(Projection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Removes a projection.

removeRedondantLine(Vector, int) - Method in class fr.loria.cortex.ginnet.data.Data

Arranges the Vector returned by getRedondantValues Method adter deleting the redondant lines.

removeTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
removeTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
removeTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
removeTarget(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
removeTarget(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Removes a target column.

removeUnusedNeurons(SelectedConnection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Removes unit connected to pruned connection if it is no more connected (with other connections).

RENAME_COLUMN_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of "Rename column" menu item in column popup menu

renameColumn() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
renameColumn(int, String) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Renames the specifieds column

renameColumn(int, String) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Renames a column

renameColumnMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu item to rename a variable in column popup menu

renameTarget() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
repaint() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
repaint() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
repaint() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
replace - Variable in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog
 
replaceAllInAllColumn(Object, Object) - Method in class fr.loria.cortex.ginnet.data.Data

Replaces all instance of a value by another value in all columns

replaceAllInColumn(Object, Object, int) - Method in class fr.loria.cortex.ginnet.data.Data

Replaces all instance of a value by another value

replaceButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
replaceTextField - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RecodeCellDialog
 
replaceValueInAll(String, String) - Method in class fr.loria.cortex.ginnet.data.Data

Finds a value in all the column.

replaceValueInColumns(String, String, boolean) - Method in class fr.loria.cortex.ginnet.gui.dialogs.FindDialog

Replace values in selected columns

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Resets learning cycle values (epoch and errors)

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Resets specific values of the learning rate function.

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Resets specific values of the learning rate function.

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Resets every population.

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias

Initializes its weight to zero

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.NeuronUnit

Constructs a bond between two nodes

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Initializes its weight to zero

reset() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Initializes every unit

reset() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Resets path to default path.

reset() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Resets preferences to default values.

resetEpoch() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.StoppableMethod

Resets the number of cycles.

resetEpoch() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Resets number of cycles.

resetEpoch() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Resets epoch value of the current network.

resetInput() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Initializes input value to zero for all Units

resetPath() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Resets path to default value.

resetProgress() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Resets progress to zero.

resetSelections() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Resets selections

resetValue() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Sets supervised connection value to 0

resize() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Resizes this sub component so that it fits getWidth() and getHeight().

resizeColumns() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Resizes the column to match data

resizeLegend(JPanel) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerSubComponent

Reiszes legend so that it fits LEGEND_WIDHT and getHeight().

resizeTable() - Method in class fr.loria.cortex.ginnet.gui.JTableEx

Resizes each column to fit the data.

result - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Result of the evaluation of a set of feature

ResultableMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

A ResultableMethod characterizes any method willing to display an HTML result.

resultLabel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
resultMenu - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The result menu

resultPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
results - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Backup of results (good answer or bad answer) of all learn samples

results - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Backup of results (good answer or bad answer) of all learn samples

results - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
results - Variable in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

A list of all pervious results

RESULTS_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store results folder path

RESULTS_TAB_TITLE - Static variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of Results panel

RESULTS_TEMPORARY_FILE - Static variable in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab
 
resultsPane - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Panel where HTML results are displayed

resultsPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Panel where filter results are displayed

resultsPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

resultsTab - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread
 
ResultsTab - Class in fr.loria.cortex.ginnet.gui.tabs

ResultsTab is the result panel show in a tab to display any ResultableMethod results.

ResultsTab() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Constructs a new empty and undisplayed MethodResult panel.

ResultsTab.HTMLFilter - Class in fr.loria.cortex.ginnet.gui.tabs
 
rho - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
 
rightmargin - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

Right margin, in pixels

rightmargin - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Right margin, in pixels

ring - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

True if layer is a ring

RingTopologyFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions

RingTopologyFunction represents a topology function where nodes are in ring (in 1 dimension).

RingTopologyFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.RingTopologyFunction

Constructs a topology function with name "Ring"

rm - Variable in class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Associated RowEditorModel

RMSEErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

RMSEErrorFunction describes Root Mean Square Error error function.

RMSEErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction

Creates a new error function of type "RMSE"

root - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

The root node of the tree

RowEditorModel - Class in fr.loria.cortex.ginnet.gui.data

This class stores differents TableCellEditor.

RowEditorModel() - Constructor for class fr.loria.cortex.ginnet.gui.data.RowEditorModel
 
rowPopupMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
rows - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.dialogs.OBDTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.ConfuseTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.CorrelationMatrixModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Number of rows

rows - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Number of rows

rs - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

Result set

run() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.BackwardFilter

To run the backward selection variable of type filter

run() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.ForwardFilter

To run the forward selection variable of type filter

run() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SFFSFilter
 
run() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection

Launches the Search method's algorithm.

run() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Launches the Search method's algorithm.

run() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
run() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Runs filter computation.

run() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog
 
run() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

General calculation loop

run() - Method in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter

Runs the saving of the model as an external Jar file.

run() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
run() - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Runs projection computing and display.

RUN_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Tool tip of "Run" button

runButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Buttons

runButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Buttons

runFilter() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Initialize and runs filter algorithm and display results.

runOBD() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog
 
runWrapper() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog
 




S

saliencies - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Saliency values of all connections

saliency - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Saliency value of the selected connection

saliency - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Saliency of the selected neuron

sameFloatValue(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns true if all fields value are the sames

sameValue(int[], int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Returns true if all fields value are the same

sample(Entries, int, SingleLearnerFactory, Random) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractSampler

Samples patterns and create learners.

sample(Entries, int, SingleLearnerFactory, Random) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Arcing changes the weights of the training instances provided as input to each inducer
 based on classifiers that were previously build.

sample(Entries, int, SingleLearnerFactory, Random) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.bagging.BaggingSampler
 
sample(Entries, int, SingleLearnerFactory, Random) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

AdaBoost changes the weights of the training instances provided as input to each inducer
 based on classifiers that were previously build.

sampler - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Sampler of the meta-learner that distribute samples of patterns to sub-learners

samplerPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
SamplerPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling

SamplerPanel is the panel of the Sampler.

SamplerPanel() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Constructs an empty sampler panel.

save() - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Saves preferences into XML file.

save(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Save result log into a text file.

save(boolean, File) - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab
 
save(String, DataMiningMethod) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.results.HTMLResultsFactory

Saves HTML Results of given model into given file.

SAVE_AS_JAR_NAME - Static variable in class fr.loria.cortex.ginnet.gui.GINNetMenus

Name of the button for external Jar saving

SAVE_AS_JAR_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.GINNetMenus

Tool tip for the button for external Jar saving

saveAsExternalJar(File, String) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Saves current meta-learner into a generated Jar file

saveAsExternalJar(File, String) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Saves current data-mining model into a generated Jar file

saveAsExternalJar(File, String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Saves current competitive neural network into a generated Jar file

saveAsExternalJar(File, String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Saves current supervised neural network into a generated Jar file

saveAsExternalJar(File, String) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Saves current decision tree into a generated Jar file

saveAsJarButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

"Save as external Jar" button

saveAsJarMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
 
saveAsTreeMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
 
saveAttributes(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Saves the pattern attributes to a specific file.

saveButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Button to save tests

saveCorpus() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
saveCorpus(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Creates a file containing all corpus informations

saveCorpus(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
saveCorpusAs() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
saveCorpusAsMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
saveCorpusMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
saveLabels(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Save the matrix of Labels to a specific file.

saveLabels(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Save the matrix of Labels to a specific file

saveModel() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

Saves the current model's state into the pseudo-stack.

saveModelAsJar(AbstractMetaSupervisedLearner, File, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given meta-learner as a Jar file.

saveModelAsJar(AbstractCompetitiveNetwork, File, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given competitive network as a Jar file.

saveModelAsJar(AbstractSupervisedNetwork, File, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given supervised network as a Jar file.

saveModelAsJar(AbstractDecisionTree, File, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given decision tree as a Jar file.

saveModelAsJavaClass(AbstractSupervisedNetwork, String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given supervised network as a Java file.

saveModelAsJavaClass(AbstractDecisionTree, String, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given decision tree as a Java file.

saveModelStack - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

A pseudo-stack used to save and backup the model.

saveNetwork(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Save a network to a specified file

savePanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Save panel with all saving features

savePrototypesButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Button to save prototypes

savePrototypesButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Saves prototypes.

saveResult(boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Saves results.

saveSimpleStatistics(String, String) - Method in class fr.loria.cortex.ginnet.data.DataExporter

Exports the data simple statistics to a text file

saveSolution() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Saves all the connection values (in the Connection ArrayList attribute).

saveSubLearner(SingleSupervisedLearner, int, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves given sub learner as Java classes into temporary directory.

saveSubLearners(AbstractMetaSupervisedLearner, String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Saves all sub learners as Java classes into temporary directory.

saveTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
saveTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
saveTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
saveTargets(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
saveTargets(String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Saves all targets in a specific file.

saveTestButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Saves tests.

saveTestCycleButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
saveTestCycleButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Called when the user clicks on "save test results" button.

saveTestErrorsButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
saveTestErrorsButtonPressed() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel

Called when the user clicks on "save test errors" button.

saveTree(String) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Save a tree to a specified file

saveTreeMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
 
saveVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
saveVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus

Saves all pattern attributes and label.

saveVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus

Save the matrix of attributes and the matrix of labels to a common specific file

saveVariables(String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
saveVariables(String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Save all patterns variable.

saveVariables(String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Saves all variables (attributes and targets) in a specific file.

scalarProduct(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

compute the scalar product of two vectors

scalarProduct(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

compute the scalar product of two vectors

screensElements - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
search - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

The search user want performe.

searchRestriction - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

This criterion search restriction.

 Zero if none.

searchType(String) - Static method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Searches corpus type in corpus file.

SEErrorFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions

SEErrorFunction describes error computation based on Square Error.

SEErrorFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.SEErrorFunction

Creates a new error function with type "SE"

Selectable - Interface in fr.loria.cortex.ginnet.gui

Selectable is an interface for selectable objects.

selected - Variable in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

True if the object is selected

selected - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

True if GraphNeuron is selected

selected - Variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

True if node is selected

selected2 - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

True if GraphNeuronUnit will show its connectinons

SelectedConnection - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

A SelectedConnection is a supervised connection selected by a pruning method to be remove.

SelectedConnection(SupervisedConnection, float, Projection, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Default constructor.

SelectedNeuron - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded

A SelectedNeuronn is a neuron unit selected by a pruning method to be remove.

SelectedNeuron(NeuronUnit, float, SupervisedPopulation, int, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Default constructor.

SelectedVariable - Class in fr.loria.cortex.ginnet.dynnet.corpus.filter

This class discribes a variable selected by a filter method.

SelectedVariable(int, String, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Creates a selected variable

selectedVariableBoxes - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Check boxes allowing selected variables selection for deletion

selectedVariablePanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Panel displaying selected variables

selectedVariables - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.filter.AbstractFilter

Sorted list of SelectedVariable objects

selectGraphNeuron(int, int) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Called when the user move the mouse to the visualization pane

selection - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
selection - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
SELECTION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Selection color

selection2 - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
selectionMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
selectLastActivatedMethodTab() - Method in class fr.loria.cortex.ginnet.gui.GINNet

Select the tab of the last method activated.

selectVisuErrorFunction(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Select error function used to calculate final error of the network, depending on task it performs.

semicolonRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
separate() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.PatternSeparationDialog

Effectively separate patterns.

separate() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog

Effectively separate patterns.

separate() - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Effectively separate patterns.

separate(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Separates patterns into categories

separateLearnAndTest(float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Splits the corpus between Learn and Test elements

separateLearnAndTestAndValidation(float, float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Splits the corpus between Learn and Test elements

SEPARATION - Static variable in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

String used to show separation between 2 models

separationMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu item to separate patterns into types

separator - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
SEPARATOR - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Separator in corpus saved file

separatorField - Variable in class fr.loria.cortex.ginnet.gui.PanelDataExport

TextField

separatorsPanel - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
serializeNetwork(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Serialize the Network into a file

setActive(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph
 
setActive(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Sets if this tab is active or not.

setActive(int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
setActive(int, boolean) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Activates or desactivates an attribute.

setActive(int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
setActive(int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
setActive(int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
setActive(int, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
setAddingValue(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Sets value to add in case of network reduction

setAggregatingFunction(AbstractAggregatingFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Sets aggregating function of the competitive population.

setAggregatingFunction(AbstractAggregatingFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Sets aggregating function of the competitive population.

setAttribute(int, int, Attribute) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
setAttribute(int, int, Attribute) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
setAttribute(int, int, Attribute) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Sets an attribute.

setAttributeClassIndex(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the attribute class index

setAttributeName(String) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the attribute class name.

setAttributesToNumerize(List) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Sets the list of attributes to numerize if patterns contains symbolical attributes

setAttributeType(int, short) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
setAttributeType(int, short) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Sets the type of an attribute.

setAttributeType(int, short) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
setAttributeTypes(TreeNode) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Sets the root node.

setBackupDelta(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection

Sets delta backup value of the connection.

setBackupValue(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.PerceptronConnection

Sets backup value of the connection.

setBackwardSearch() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

set search method attribute to bacward.

setCardinality(int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the number of patterns contained by this node

setChangeListener(ChangeListener) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Assign a ChangeListener to this field panel.

setChangeListener(ChangeListener) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Assigns a change listener to this StrategyPanel.

setClassificationTask() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

set task attribute to classification.

setClassNames(String[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the classes contained by this node

setClassProportions(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the class proportions of this node

setClassProportionsAndNames(TreeNode, int[], int, String[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.models.CART

Sets class proportions and class names for the given node

setClassProportionsAndNames(String[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets class proportions and class names for the given node

setColumnName(int, String) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Renames the specified column

setColumnName(int, String) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Sets the name of a column

setColumnName(int, String) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Change the name of a column

setColumnType(short[]) - Method in class fr.loria.cortex.ginnet.data.Data

sets the type of the columns

setCommandPanel(AbstractCommandPanel) - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Sets command panel: the one displayed on bottom.

setCompetitiveNetwork(AbstractCompetitiveNetwork, int[], Patterns) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Sets a competitive network to be represented in the network panel

setConfiguration(AbstractModelStoppingCriterion, AbstractSaliencyEvaluationCriterion, short, float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Updates configuration of the pruning method.

setConstraints(JComponent, int, int, int, int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Sets constrainst for main panel layout

setContinueSplitLimit(float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the continue split limit for the spliting rule

setContinuity(boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the continuity class attribute for this node

setCoordinate(int, int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Sets the coordinates.

setCoordinate(Coordinate) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

Sets the coordinate.

setCorpus(AbstractFileCorpus) - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Sets the actually used corpus.

setCorpusLoaded(boolean, String) - Method in class fr.loria.cortex.ginnet.gui.GINNet

Determines if a corpus is loaded or not.

setCurrentCommandPanel(AbstractCommandablePanel) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Sets command panel currently used.

setCycle(int) - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Updates current cycle index to display.

setCycle(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
setData(float, float[][]) - Method in class fr.loria.cortex.ginnet.gui.BarChart

Sets the data used to draw the chart

setData(Data) - Method in class fr.loria.cortex.ginnet.gui.tabs.DataTab

Sets the Data object currently used

setData(Object[][]) - Method in class fr.loria.cortex.ginnet.gui.BarChart

Sets the data used to draw the chart

setDefaultColumnName() - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Sets the internal label array to default column names

setDefaultMLP() - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog

Sets default multi-layer perceptron topology into perceptron dialog interface.

setDefaultStrategy(String) - Method in class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Sets strategy chosen by default.

setDistanceFunction(AbstractDistanceFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Sets distance function of the competitive population.

setDistanceFunction(AbstractDistanceFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Sets distance function of the competitive population.

setDoubleColumn(int, double[]) - Method in class fr.loria.cortex.ginnet.data.Data

Sets all the values of a column to the values of a double array.

setDoubleValues(double[][]) - Method in class fr.loria.cortex.ginnet.data.Data

Sets all values in the data object to the values of a double matrix.

setEnabled(boolean) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Disables the possibility of changing number of inputs.

setEntries(Patterns) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Sets entries from given patterns.

setEntries(Patterns) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Sets entries from given patterns.

setEntries(NumericEntries) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Sets patterns of the network.

setEpoch(int) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.StoppableMethod

Sets the number of cycles to given one.

setEpoch(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
setEvaluation(float) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion

Assigns a value return by an evaluation criterion

setEvaluationCriterion(AbstractEvaluationCriterion) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection

Defines the evaluation's criterion of this Feature Search Approach.

setFeatureSelection(AbstractFeatureSelection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkManager

Defines the FeatureSelection associated with THIS SupervisedNetworkManager.

setFinalLearningRate(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
setForwardSearch() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

set search method attribute to forward.

setGraphVisible(boolean) - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Sets if the Graph panel will be visible or not.

setGraphVisible(boolean) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Sets if the Graph panel will be visible

setInfoQuantity(double) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the information quantity for this Node

setInformationFunction(AbstractInformationFunction) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Sets the information function

setInput(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Sets the input field of each unit to a value in 'pattern'

setInputAttributes(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Sets the input values.

setInputs(Entries) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Assigns input corpus.

setLabel(int, String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.CategorizationCorpus
 
setLabel(int, String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
setLabel(int, String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListLabelledPatternsImpl
 
setLabel(int, String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.LabelledPatterns

Sets the label of a specific pattern.

setLastEvaluation(float) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Assigns the value of the second evaluation

setLeaf(boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

sets if the node is a leaf or not

setLearnerClass(String) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Sets the class of sub-learners to create.

setLearnerClass(String) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Sets the class of learner to create.

setLearnError(float) - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Updates learn error to display.

setLearnError(float) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Displays learn error.

setLearningRateFunction(AbstractLearningRateFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Sets the leraning rate function of the network.

setLearnPattern() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Set selected pattern as learn pattern

setMainPanel(JComponent) - Method in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab

Sets main panel: the one displayed on top.

setMaxEpoch(int) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction

Sets the number of cycle to reach

setMaxTime(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction
 
setMean(float) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the mean of the predictive value of the subset of elements of this node

setMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

Updates tab according to given meta learner

setMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel

Updates sampler panel with a new meta-learner

setMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel

Updates result panel with a new meta-learner.

setMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel

Updates sampler panel with a new meta-learner.

setMinError(float) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Sets the minimal error to reach.

setMode(int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Sets the highlight mode

setModel(Entries) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractSimpleEvaluationCriterion

Assigns the model.

setModel(ResultableMethod) - Method in class fr.loria.cortex.ginnet.gui.tabs.ResultsTab

Updates data-mining method to display.

setModel(SupervisedMethod) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFSApproach

Defines the model concerned by this Feature Search Approach.

setModel(SupervisedMethod) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.AbstractSaliencyEvaluationCriterion

Sets model relative to this evaluation criterion.

setModel(SupervisedMethod) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractModelEvaluationCriterion

Assigns the training model's error to the correspondant class attribute.

setModel(SupervisedMethod) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractModelStoppingCriterion

Assigns the model.

setModel(TableModel) - Method in class fr.loria.cortex.ginnet.gui.JTableEx

Sets the table model

setModelForResult(ResultableMethod) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Sets model whose results will be displayed in Results tab

setName(String) - Method in class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.AbstractInformationFunction

Sets the name of this Information function

setNbLearner(int) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Sets the number of sub-learners

setNetwork(AbstractNeuralNetwork) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
setNetwork(AbstractNeuralNetwork) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Assigns neural network and enable or disable appropritae menus.

setNeuralNetwork(AbstractNeuralNetwork) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Sets the neural network attached to the learning rate function.

setNewEvaluation(float) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractSimpleStoppingCriterion

Assigns the value of the first evaluation

setNode(TreeNode) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Sets the associated node

setPath(String) - Method in class fr.loria.cortex.ginnet.gui.dialogs.preferences.FolderPanel

Sets path to given value.

setPath(String, String) - Method in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Sets a path into preferences.

setPatterns(short, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
setPatterns(short, int[]) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Sets patterns of given type.

setPatterns(short, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
setPatterns(short, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
setPatterns(short, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
setPatterns(short, int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
setPatterns(short, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
setPatterns(short, Collection) - Method in interface fr.loria.cortex.ginnet.dynnet.methods.entries.Entries

Sets patterns of given type.

setPatterns(short, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
setPatterns(short, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
setPatterns(short, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
setPatterns(short, Collection) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
setPerceptron(Perceptron, int[][]) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Set a perceptron as the network to be displayed

setPerceptronView(Perceptron) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.PerceptronView

Updates the view of displayed Perceptron

setPerceptronView(Perceptron) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Updates the view of displayed Perceptron

setPosition(double, double) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Sets the position of the node

setQuery(String) - Method in class fr.loria.cortex.ginnet.data.DBDataLoader

Sets the query to use

setRegression(boolean) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Sets the kind of tree

setRegressionTask() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

set task attribute to regression.

setResult(float) - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Assigns the relevance value to attribute Result

setRing(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Sets if the GraphLayer is a ring

setRowEditorModel(RowEditorModel) - Method in class fr.loria.cortex.ginnet.gui.data.JTableRowEditor

Sets the associated RowEditorModel

sets - Variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Data

setSelected(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.ConnectionGraph

Tells the GraphConnection if it is selected

setSelected(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Sets if the GraphNeuron object is selected or not

setSelected(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Sets if the graphical node is selected

setSelected(boolean) - Method in interface fr.loria.cortex.ginnet.gui.Selectable

Set if the object is selected

setSelected2(boolean) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

Sets if the neuron must show its connections

setSpecificInputActivationToggle(NeuronUnit, boolean) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Updates the specified input's activation toogle with the specified value.

setStopCriterion(AbstractStoppingCriterion) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection

Defines the stop's criterion of this Feature Search Approach.

setStoppableMethod(StoppableMethod) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction

Sets the stoppable data-mining method attached to this stopping function.

setStoppableMethod(StoppableMethod) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Sets stoppable method associated with stopping function.

setStoppableMethod(StoppableMethod) - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction
 
setStoppingFunction(AbstractStoppingFunction) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

The the stopping function of the network

setSubLearner(int, SingleSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel

Updates combiner panel with a new sub-learner.

setSubLearner(int, SingleSupervisedLearner, String[]) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Updates sub-learner panel with given sub-learner.

setSubstractingPercent(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Sets percercentage of the learning rate to substract error increase

setSymbolicSplitLimit(String) - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Sets the symbolic split limit for the spliting rule

setTableProperties() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Set the properties of the tables

setTarget(int, int, float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ClassificationCorpus
 
setTarget(int, int, float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.ForecastCorpus
 
setTarget(int, int, float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl
 
setTarget(int, int, float) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl
 
setTarget(int, int, float) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.TargetedPatterns

Sets a specific target value of a specific pattern.

setTaskManager(LongTaskDisplayer) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.task.LongTask

Updates the reference to the LongTaskDisplayer

setTestError(float) - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Updates test error to display.

setTestError(float) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Displays test error.

setTestPattern() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
setTitle(String) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel
 
setTitle(Vector) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Sets the title of the columns

setTopologyAvailable(List) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel

Sets the lists of topology available for each dimension

setTree(AbstractDecisionTree) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Set the decision tree being drawn

setTree(AbstractDecisionTree) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Set the decision tree being drawn

setUnselectedPattern() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
setValidationError(float) - Method in interface fr.loria.cortex.ginnet.gui.commandpanels.GraphCommandPanel

Updates validation error to display.

setValidationError(float) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Displays validation error.

setValidationPattern() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
setValue(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Sets the value of current supervised connection.

setValue(int, int, Object) - Method in class fr.loria.cortex.ginnet.data.Data

set a value at x,y coordinates

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Assigns a value to a cell

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Assigns a value to a cell

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.AuxTableModel

Assigns a value to a cell

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.CorpusTableModel

Assigns a value to a cell

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Assigns a value to a cell

setValueAt(Object, int, int) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.EditTargetTableModel

Assigns a value to a cell

setValueInAllColCells(Object, int) - Method in class fr.loria.cortex.ginnet.data.Data

Adds a value in all the cells of a column

setVariableName(int, String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
setVariableName(int, String) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Sets the name of a variable.

setVariableName(int, String) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
setVector(Vector) - Method in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Sets the highlighted items vector

setWeights(float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Sets connection values.

setWinner(TreeNode) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Set the winner node

setWinner(TreeNode) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Set the winner node

setX(int) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Sets the x-coordinate of the GraphLayer

setX(int) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Set the x coordinate of the neuron

setY(int) - Method in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Sets the y-coordinate of the GraphLayer

setY(int) - Method in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Set the y coordinate of the neuron

SFFSFilter - Class in fr.loria.cortex.ginnet.dynnet.corpus.filter

Sequential Forward Floating Selection Filter.

SFFSFilter(Entries, AbstractSimpleStoppingCriterion, AbstractSimpleEvaluationCriterion) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.filter.SFFSFilter

Default constructor.

shadowColor - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.AbstractNetworkCreationDialog
 
showConnections - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

True if every connection must be showed

showConnections() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
showConnections() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab
 
showConnections(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
showLegend - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Display a legend or not

showLegend(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
showLegend(boolean) - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab
 
showNodeValues() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Print value of each Node

showPrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Prints the Vector of all the Unit of the Map.

showPrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Prints the Vector of all the Node of the Map.

showrate - Static variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

True if the tooltip should show rate

showrate - Static variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

True if rate must be shown in tooltip

showRate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Prints on screen the rate of each Node after a test cycle.

showTree() - Method in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Prints the subtree starting from this Node

sigmaInteractionStrength - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Standard deviation of strength of spatiotemporal interaction (sigmaK)

sigmaStrengthSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
SIGMOID - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample
 
SigmoidTransferFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions

SigmoidTransferFunction is a sigmoid transfert function.

SigmoidTransferFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.SigmoidTransferFunction

Constructs a transfert function of type "Sigmoid"

signalBlocks - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
signalBlocks - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
SimpleEntries - Class in fr.loria.cortex.ginnet.dynnet.methods.entries
 
SimpleEntries(Patterns) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries

Builds entries from original Patterns object

SimpleEntries(Patterns, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
SimpleFisherStoppingCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria

This class define the Fisher statistics stopping criterion for filter approach.

SimpleFisherStoppingCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion

create a fisher stopping criterion.

 For this criterion, lastEval is never used, and inputs is used.

SimpleNumericEntries - Class in fr.loria.cortex.ginnet.dynnet.methods.entries

Numeric entries implantation.

SimpleNumericEntries(Patterns) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries

Constructs numeric entries from given pattern.

SimpleNumericEntries(Patterns, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries

Constructs numeric entries with given patterns and number of variables.

SingleLearnerFactory - Class in fr.loria.cortex.ginnet.dynnet.metalearners

SingleLearner is used to instanciates any object imlementing SingleSupervisedLearner.

SingleLearnerFactory() - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Constructs a factory of single learners.

SingleLearnerFactory(boolean, Class) - Constructor for class fr.loria.cortex.ginnet.dynnet.metalearners.SingleLearnerFactory

Instanciates a learner factory.

SingleSupervisedLearner - Interface in fr.loria.cortex.ginnet.dynnet.metalearners

A SingleSupervisedLearner is a supervised learner that can be used as sub-learner by a meta-learner.

size - Static variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Size of the square

SIZE - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
SIZE - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Size of sub-learner

sizeFile - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
sizeFile - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
sizeLine - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
sizeLine - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
sizeMax - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Maximum numbers of nodes

sizes - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Number of neurons per perceptron layer

sizes - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Array used to store the layouts of unsupervised networks

SLEEP - Static variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
sliderinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
sliderinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
sliderinput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
sliderinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Called when the input units layer slider changes

sliderinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Called when the input units layer slider changes

sliderinput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Called when the input layout slider changed

slideroutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
slideroutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
slideroutput - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog
 
slideroutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog

Called when the output units layer slider changes

slideroutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog

Called when the output units layer slider changes

slideroutput_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.NGDialog

Called when the output layout slider changed

SMALL - Static variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel

Normal size of the bottom command panel (when not empty)

solution - Variable in exception fr.loria.cortex.ginnet.dynnet.methods.ModelFromDynNetCreationException

A description of how to do to solve the problem
 or null if unknown

sort(int) - Method in class fr.loria.cortex.ginnet.data.Data

Sorts the data, based on a column

sortNodes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Sort the node by value

source - Variable in class fr.loria.cortex.ginnet.dynnet.utils.Copy
 
sourceFileName - Variable in class fr.loria.cortex.ginnet.dynnet.utils.Copy
 
spaceRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
speedSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
spinner - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

JSpinner field value chooser associated with FieldPanel

spinnerModel - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Model of spinner

splitColumn(int) - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Splits the specified column in two column

splitLimit(int[], int, int) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Computes the best split limit testing 100 limits distributed between min and max

splittedPanel - Variable in class fr.loria.cortex.ginnet.gui.tabs.AbstractCommandableTab
 
squareNorm(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compute the squared norm of a vector

squareNorm(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Compute the squared norm of a vector

st - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
st - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
standardDeviation(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the standard deviation of a vector.

standardDeviation(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the standard deviation of a vector.

standardDeviations - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Array of standard deviations for all attributes

standardDeviations - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
standardDeviations - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
standardize() - Method in class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog

Standardize selected attributes.

standardize(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Standardize all values subtracting the average and diving by the standard deviation.

standardize(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Standardize all values subtracting the average and diving by the standard deviation.

standardize(float[], double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Standardize all values subtracting the average and diving by the standard deviation.

standardize(float[], float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Standardize all values subtracting the average and diving by the standard deviation.

standardize(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus
 
standardize(int) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attributes

Standardize values of given attribute.

standardize(int) - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Standardize values of given attribute.

standardizeColumn(int) - Method in class fr.loria.cortex.ginnet.data.Data

Standardizes column

standardizeColumn(Vector, Vector) - Method in class fr.loria.cortex.ginnet.data.Data

Normalizes the data in a column  between [0, 1]

StandardizeDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

This dialog allow to standardize one or more attributes of a corpus.

StandardizeDialog(Patterns) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.StandardizeDialog

Constructs a Dialog to transform symbolic attributes into numerical ones.

startLine_stateChanged(ChangeEvent) - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Updates the preview when the users change start line

startLineLabel - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
startLineSpinner - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
state - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
StatsTab - Class in fr.loria.cortex.ginnet.gui.tabs

StatsTab is a simple statistics table.

StatsTab(Data) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.StatsTab

Create a new Stats tab

statusLabel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
step - Variable in class fr.loria.cortex.ginnet.gui.dialogs.BarChartDialog
 
stepBeforeGrowing - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Growing period (a new node is created if current step is a multiple of this period)

stepBeforeGrowing - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
stop - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Tells if pruning method can continue pruning or not

stop() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.StoppableMethod

Tells if method shoulb be stopped or not.

stop() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.AbstractStoppingFunction

Computes if the training of the network can be stopped

stop() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction

Computes if the training of the network can be stopped.

stop() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.PermutationStoppingFunction

Computes if the training of the network can be stopped

stop() - Method in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction

Computes if the training of the network can be stopped

stop() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion

determines if the stop criterion is reached.

stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.CycleStoppingCriterion
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.ErrorStoppingCriterion
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.FisherStoppingCriterion
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MaximizeStoppingCriterion
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.MinimizeStoppingCriterion
 
stop() - Method in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.SimpleFisherStoppingCriterion
 
stop(boolean) - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Stops or strats learning loop.

stopButton() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandablePanel

Update the "learn/stop" button

stopButton() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Stops learning and display it.

stopButton() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

not implemented

stopCardField - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
stopCriterion - Variable in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractFeatureSelection
 
stoppable - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
StoppableMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

StoppableMethod defines an interface for all DataMiningMethod that can be stopped (by a stopping function).

stopped - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread

Boolean set at true if training has ended

stoppingCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Panel where to set stopping criterion

stoppingCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Panel where to set stopping criterion

stoppingCriterionPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Panel where to set stopping criterion

stoppingFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

The stopping criteria function

stoppingFunctionChanged() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Called when stopping function is changed.

stoppingFunctionPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Stopping function choice panel

stoppingPercent - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

The stopping criterion based on the percentage of the main category used during the training stage

stopTraining() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Stops the training.

strategy - Variable in class fr.loria.cortex.ginnet.gui.strategypanels.FieldPanel

Concrete strategy associated with FieldPanel

StrategyPanel - Class in fr.loria.cortex.ginnet.gui.strategypanels

LearningRateFunctionPanel creates a dynamic panel with 2 parts :
 On the first line, you choose a strategy with a ComboBox.

StrategyPanel(Class, List) - Constructor for class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Creates a panel for a kind of strategy

StrategyPanel(Class, List, String) - Constructor for class fr.loria.cortex.ginnet.gui.strategypanels.StrategyPanel

Creates a panel for a kind of strategy

strengthSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
studyMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
style - Variable in class fr.loria.cortex.ginnet.gui.data.DBImportTableModel

Vector of types, containing either "Numerical" or "Symbolic"

style - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Vector containing the styles (either "Symbolic" or "Numerical")

SubCombinerPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning.combining
 
SubCombinerPanel(int, SingleSupervisedLearner) - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel

Constructs a new combiner sub-panel
 displaying the combining result of a sub-learner..

SubEntries - Class in fr.loria.cortex.ginnet.dynnet.methods.entries

A SubEntries is a subset of Entries.

SubEntries(Entries) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries

Instanciates a SubEntries from an orginal Entries

subLearner - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.SubCombinerPanel
 
subLearner - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
SubLearnerPanel - Class in fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling

A SubLearnerPanel is the interface for a sub-learner.

SubLearnerPanel(int, SingleSupervisedLearner, String[]) - Constructor for class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel

Constructs a new panel for given sub-learner.

subLearners - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
subLearners - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SamplerPanel
 
subLearnersPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
subModelBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
SubNumericEntries - Class in fr.loria.cortex.ginnet.dynnet.methods.entries

SubNumericEntries are sub entries of NumericEntries

SubNumericEntries(NumericEntries) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.SubNumericEntries

Creates sub numeric entries from an original numeric Entries

subtract(double[][], double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compute the difference of two matrix.

subtract(double[], double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Subtract two vectors

subtract(float[][], float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Compute the difference of two matrix.

subtract(float[], float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Subtract two vectors

subtractingPercent - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Percentage of the learning rate to substract if the error of the network has been increased at the previous time

subtrees - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The child nodes of this node

sum - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.GibbsTransferFunction

sum = Σi e^(xi) ∀ unit i of a given population

summonManagement() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkManager

Summons the supervised Network's management.

superClassName - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Name of the super class of the class representing current model
     (constant MODEL_FROM_DYNNET_CLASS or NUMERICAL_MODEL_FROM_DYNNET_CLASS)

supervised - Variable in class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.ErrorStoppingFunction
 
SupervisedConnection - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

Connection class represents a connection between units.

SupervisedConnection() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Constructs a connection

SupervisedConnection(NeuronUnit, NeuronUnit) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Constructs a connection between two Units and initializes its weight between [0,1[

SupervisedConnection(NeuronUnit, NeuronUnit, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Constructs a connection between two Units and initializes its weight

SupervisedMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface defines common properties of all supervised method.

SupervisedNetworkFromDynNetExample - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

This class is an example of class that should be generated by DynNet
 in order to save a supervised neural network as a simple Java class.

SupervisedNetworkFromDynNetExample() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample
 
SupervisedNetworkFromDynNetExample.Layer - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

A layer is a class that performs computation for only one layer of the supervised neural network.

SupervisedNetworkManager - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

This class is the core of the Supervised Network's manager allowing to manage supervised networks and 
  variable's selection methods.

SupervisedNetworkManager(AbstractFeatureSelection) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkManager

Default constructor.

SupervisedPopulation - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks

SupervisedPopulation class represents a population.

SupervisedPopulation(AbstractTransferFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Constructor called by sub-classes

SupervisedPopulation(AbstractTransferFunction, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

Constructs a set of Units with a specific transfer function

swap(int, int, int) - Method in class fr.loria.cortex.ginnet.data.Data
 
sx - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Cursor coordinates

sx - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
sx - Variable in class fr.loria.cortex.ginnet.gui.tabs.DataTab
 
sy - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Cursor coordinates

sy - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
sy - Variable in class fr.loria.cortex.ginnet.gui.tabs.DataTab
 
SYMBOLIC - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Symbolic attribute type

SYMBOLIC_COLUMN - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of the symbolic attribute variable type in corpus saved file

symbolicalStatsTable - Variable in class fr.loria.cortex.ginnet.gui.tabs.StatsTab
 
SymbolicalStatsTableModel - Class in fr.loria.cortex.ginnet.gui.tabs.stats

SymbolicalStatsTableModel is the table model describing symbolical attribute statistics and only them.

SymbolicalStatsTableModel(Data) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.stats.SymbolicalStatsTableModel

Creates a StatsTableModel from the specified Data object

SymbolicAttribute - Class in fr.loria.cortex.ginnet.dynnet.corpus.patterns

SymbolicAttribute describes an Attribute with a String value.

SymbolicAttribute() - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.SymbolicAttribute

Creates an unknown symbolic attribute

SymbolicAttribute(String) - Constructor for class fr.loria.cortex.ginnet.dynnet.corpus.patterns.SymbolicAttribute

Construcst a symbolic attribute with given value.

symbolicSplitLimit - Variable in class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Current limit to split patterns into branch (for symbolic attribute)





T

t - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AutoOBDDialog
 
t - Variable in class fr.loria.cortex.ginnet.gui.dialogs.PCADialog
 
t - Variable in class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog
 
table - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
tabRadioButton - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
tabs - Variable in class fr.loria.cortex.ginnet.gui.GINNet

The tabs

TANH - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample
 
TanHTransferFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions

TransferFunctionTanH describes an hyperbolic tangent transfert function.

TanHTransferFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.TanHTransferFunction

Creates a new transfert function of type "TanH"

TARGET_COLUMN - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of the target variable type in corpus saved file (Targets are floats)

TargetDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

TargetDialog is the "recode target" dialog.

TargetDialog(GINNet, ClassificationCorpus) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.TargetDialog

Creates the dialog

targetDirectoryPath - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Full path of the temporary directory where to save target files

TargetedLabelledPatterns - Interface in fr.loria.cortex.ginnet.dynnet.corpus.patterns

TargetedLabelledPatterns describes operations on patterns containing labels and targets.

TargetedPatterns - Interface in fr.loria.cortex.ginnet.dynnet.corpus.patterns

TargetedPatterns are patterns containing targets.

targetJavaFile - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Target Java file representing current model

targetNames - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
targets - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedLabelledPatternsImpl

List of targets by pattern

targets - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListTargetedPatternsImpl

List of targets by pattern

targets - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
task - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

The task user will realize.

taskDisplayer - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.task.LongTask

Task displayer

taskDisplayer - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Long task displayer used if filter task takes too long

taskDisplayer - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Long task displayer used if wrapper task takes too long

taskGroup - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
taskLayout - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
taskManager - Variable in class fr.loria.cortex.ginnet.gui.jarexporting.ModelFromDynNetExporter
 
taskManager - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Long task management object

taskPanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.ExportToCorpusDialog
 
taskRestriction - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.AbstractCriterion

The task's restriction of this criterion.

 Zero if none;

tempDirectory - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Temporary directory where to save target files

test - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread

Boolean set at true if tests must be performed while learning

test() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
test() - Method in interface fr.loria.cortex.ginnet.dynnet.metalearners.SingleSupervisedLearner
 
test() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.DataMiningMethod

Performs test on all test patterns.

test() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Makes a test cycle, submit all the test patterns to the network

test() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Performs test on all test patterns.

TEST - Static variable in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Test pattern type

TEST_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Test color

TEST_LINE - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of learn patterns in file

TEST_NOW_MENU_DISABLE_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of "Test now" menu item when disabled

TEST_NOW_MENU_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of "Test now" menu item

testall - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
testAll() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Tests all test patterns and displays result.

testAll() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
testAll() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
testAllRadioButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Checked when all test patterns must be tested

testAPattern(float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Tests the network with a particular pattern

testButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Button that launch test

testButtonGroup - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Group containing testOneRadioButton and testAllRadioButton

testButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Called when the user clicks on "test" button

testButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
testButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
testCF - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Test confusion matrix

testCheckBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Test while learning check box

testError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Last test error of the meta-learner

testError - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

Mean error for all test patterns

testError - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Last test error

testError - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
testError - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
testErrorLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Test error label

testIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
testIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
testMessage - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
testNow() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
testNowMenuItem - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

The "Test now" menu item

testone - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandablePanel

Tests given pattern and display result.

testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Tests given pattern and display result.

testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel
 
testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KmeansCommandPanel
 
testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
testOne(int) - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Tests one pattern

testOneRadioButton - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Checked when only selected test pattern must be tested

testPanel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Panel that regroup all test parameters and actions

testPattern(Attribute[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Gives the leaf corresponding to the specific pattern

testPatterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

List of patterns selected for test

TestPatternSeparationDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.patterns

PatternSeparationDialog is dialog used to separate learn and test patterns.

TestPatternSeparationDialog() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestPatternSeparationDialog

Creates a new dialog.

testPatternSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Spinner to select test pattern number among all available

TestPatternSpinnerListener() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel.TestPatternSpinnerListener

Constructs a TestPatternSpinnerListener.

testResult - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
testSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Test proportion patterns spinner

TestValidationPatternSeparationDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.patterns

PatternSeparationDialog is dialog used to separate learn, test and validation patterns.

TestValidationPatternSeparationDialog() - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Creates a new dialog.

text - Variable in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
textField - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel.TestPatternSpinnerListener
 
TextFileDataLoader - Class in fr.loria.cortex.ginnet.data

TextFileDataLoader is an implementation for FileDataLoader.

TextFileDataLoader(String, int, String[], int[], short[], boolean) - Constructor for class fr.loria.cortex.ginnet.data.TextFileDataLoader

Constructs the class

TextFileDataLoader(String, int, String[], int, String, short[], boolean) - Constructor for class fr.loria.cortex.ginnet.data.TextFileDataLoader

Constructs the class

timeStamp - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
timeStamp - Variable in class fr.loria.cortex.ginnet.data.signal.EEGSignalLoader
 
TimeStoppingFunction - Class in fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions

TimeStoppingFunction class represents a stopping criterion for any neural network.

TimeStoppingFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.stoppingfunctions.TimeStoppingFunction
 
timeToGrow(int) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Tests if the Network can growing

title - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
titledBorder1 - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard
 
titledBorder1 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
titledBorder2 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
titledBorder5 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.GNGDialog
 
titledBorder5 - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.KMDialog
 
titleLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractCommandPanel

Title of the command panel

toDouble(Object[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

transform a vector of object to a vector of double

toFloat(Object[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

transform a vector of object to a vector of float

tokens - Variable in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Tokens (for delimited files

TOM - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom

TOM is Temporal Organization Map, an extension of Kohonen Self-Organizing Map that manages spatiotemporal treatments.

TOM(int, int[], float, AbstractLearningRateFunction, AbstractStoppingFunction, SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction, float, float, float, float, float, float) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Constructs a TOM temporal organization map with the specified sizes, input dimension,
 topological neighborhood function and kernel neighborhood function and with type "TOM".

TOM(int, int[], SimpleNumericEntries, AbstractDistanceFunction, AbstractAggregatingFunction) - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.tom.TOM

Constructs a TOM temporal organization map with the specified sizes, input dimension,
 topological neighborhood function and kernel neighborhood function and with type "TOM".

TOMCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels

Command panel of any TOM network.

TOMCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel

Constructs command panel for a TOM.

TOMDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.networkdialogs

TOMDialog is the dialog used to create a new TOM network.

TOMDialog(Patterns, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.TOMDialog

Creates and shows a new dialog to create a TOM.

topmargin - Static variable in class fr.loria.cortex.ginnet.gui.BarChart

Top margin, in pixels

topmargin - Static variable in class fr.loria.cortex.ginnet.gui.graphs.Graph

Bottom margin, in pixels

topology - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Bonds between Nodes

topology - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Bonds between Nodes

Topology - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks

Bond class manages Bonds between Nodes (ex : GNG Network).

Topology() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Topology

Constructs an empty topology.

topologyComboBox - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
topologyFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Topological neighborhood function (ex: Rectangle, Hexagonal, ...).

toString() - Method in class fr.loria.cortex.ginnet.data.Data

Converts data to string

toString() - Method in class fr.loria.cortex.ginnet.data.signal.EEGSignal
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.filter.SelectedVariable

Gets a String representation of the selected variable.

toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Gets a String reprensenting the attribute.

toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.NumericalAttribute
 
toString() - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Gets a String representing the Patterns

toString() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.SymbolicAttribute
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleNumericEntries
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate
 
toString() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedConnection

Gets a String describing the selected connection.

toString() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.SelectedNeuron

Gets a String describing the selected neuron.

toString() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.combining.CombinerPanel
 
toString() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor
 
toString() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.sampling.SubLearnerPanel
 
toString(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Transform a vector to a string, to make it displayable

toString(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

return a string representation of a matrix

toString(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetVector

Transform a vector to a string, to make it displayable

toString(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

return a string representation of a matrix

toString(int[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
toString(Attribute[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
toString(String[]) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
toString(Vector) - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree
 
tql2() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
tr - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Associated transfert function

trainModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Start the training.

trainModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel

Start the training.

transfertFunction - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer

Transfert function of this layer

transfertFunctionLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
transformationMenu - Variable in class fr.loria.cortex.ginnet.gui.data.DataMenu
 
transpose(double[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the transpose of a matrix

transpose(float[][]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMatrix

Returns the transpose of a matrix

tred2() - Method in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
tree - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
tree - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

The decision tree actually used

TreeCommandPanel - Class in fr.loria.cortex.ginnet.gui.commandpanels

TreeCommandPanel class describes the command panel to control a decision tree.

TreeCommandPanel() - Constructor for class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Creates a new tree command panel.

TreeEntries - Class in fr.loria.cortex.ginnet.dynnet.methods.entries

TreeEntries allow easy tree entries construction.

TreeEntries(Patterns) - Constructor for class fr.loria.cortex.ginnet.dynnet.methods.entries.TreeEntries

Builds entries for tree from given patterns.

treeFile - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Filename of the tree

treeMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Tree menu

TreeNode - Class in fr.loria.cortex.ginnet.dynnet.trees

TreeNode is a node of a tree (i.e. an intersection or a leaf).

TreeNode() - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

The variance of the regression attribute of the elements of this node

TreeNode(TreeNode) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Constructs a node with the given parameter as parent node

TreeNode(TreeNode, int) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.TreeNode

Constructs a node with the given parameter as parent node

TreeNodeGraph - Class in fr.loria.cortex.ginnet.gui.graphs

TreeNodeGraph is the class of a graphical representation of a node in a tree.

TreeNodeGraph(TreeNode) - Constructor for class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Create a graphical node associated to the specified node

treePanel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.preferences.PreferencesDialog

Prefered path panels

treePanel - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeTab
 
TREES_PATH_KEY - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Key used to store trees folder path

treeTab - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Customized JPanel used to represent trees

TreeTab - Class in fr.loria.cortex.ginnet.gui.tabs

TreeTab is a panel containing the graphical representation of decision trees.

TreeTab(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Create a JPanelTree associated to the main window

treeTabTitle - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Title of tree tab

treeToEnable - Variable in class fr.loria.cortex.ginnet.gui.GINNet

Vector of String.

TreeView - Class in fr.loria.cortex.ginnet.gui.tabs

A TreeView is a graphical representation of a decision tree.

TreeView() - Constructor for class fr.loria.cortex.ginnet.gui.tabs.TreeView

Initializes tree view.

treshold - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.ConnectionSaliencyTresholdEvaluationCriterion

Maximum value accepted for saliency

treshold - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.evaluationcriteria.OCDSaliencyEvaluationCriterion

Maximum value accepted for saliency

type - Variable in class fr.loria.cortex.ginnet.data.Data

Column types

type - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

Type

type - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractCorpus

Corpus type

type - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Attribute type

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.AbstractNeuralNetwork

A String represnting the name of the network type

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Type of learning rate function 

 If you change the name of a type, be careful to change every reference of
 this type!

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.AbstractKernelFunction

Name of the kernel function

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.topologyfunctions.AbstractTopologyFunction

Name of the topology function

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.AbstractErrorFunction

Type of the error function
 

 If you change the name of a type, be careful to change every reference of this type!

type - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.transfertfunctions.AbstractTransferFunction

Type of transfert function
 

 If you change the name of a type, be careful to change every reference of this type!

type - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.AbstractEvaluationCriterion

Type of the evaluation criterion.

type - Variable in class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.stoppingcriteria.AbstractStoppingCriterion

Type of the stopping criterion.

type - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
type - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
typeMatrix - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA

Type of matrix to manage (CORRELATION_MATRIX or COVARIANCE_MATRIX)

typeParsing - Variable in class fr.loria.cortex.ginnet.data.TextFileDataLoader
 
types - Variable in class fr.loria.cortex.ginnet.gui.tabs.StatsTab

Column types of the associated Data object





U

unactivate(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Unactivates the specified variable (unactivates all the linked connection, and the specified neuron)
   of the model.

unactivateConnectionWithUnit(NeuronUnit, boolean[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Projection

Unactivates all the connection in which the Neuron u is concerned.

unactivateVariable(NeuronUnit) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Unactivates the specified variable (unactivates all the linked connection, and the specified neuron).

undisplayErrors() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Undisplays errors (reset error labels).

undisplayNetwork() - Method in class fr.loria.cortex.ginnet.gui.GINNetThread

Undisplays network informations (error, number of cycle done and error graph).

undo(List) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
UNDO_ALL - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Last action made is un-doing all pruning

UNDO_LAST - Static variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Last action made is un-doing last pruning

undoAll() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractEmbedded

Undo all previous pruning.

undoAll() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
undoAll() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Undo all pruning.

undoAllButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Buttons

undoLast() - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.AbstractEmbedded

Undo last pruning.

undoLast() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD
 
undoLast() - Method in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Undo last pruning.

undoLastButton - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.OBDDialog

Buttons

undoLastRemovals() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.embedded.AbstractOBD

Re-add components pruned during last removal cycle (and added to lastRemovals list)

units - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.InputSupervisedPopulation

Array of input units

units - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedPopulation

The list of the units in this population

unknown - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.Attribute

Boolean set at true if attribute's value is unknown

UNKNOWN_JAVA_PATH - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

Default value for Java path

UNSELECTED - Static variable in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Unslected pattern type

UNSELECTED_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Pale Unselected color

unselectedPatterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

List of unselected patterns

UnsupervisedMethod - Interface in fr.loria.cortex.ginnet.dynnet.methods

This interface defines common comportement of all unsupervised methods.

update() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AbstractLearningRateFunction

Updates the learning rate value of the neural network

update() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.AdaptativeLearningRateFunction

Returns the learning rate value to apply

update() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.ConstantLearningRateFunction

Keeps the current learning rate unchanged

update() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.learningratefunctions.DecreasingLearningRateFunction

Updates the learning rate value to apply

update() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Updates each connection value of each projection.

update(float) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

Updates the value of this connection.

update(float, float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AADTWAggregatingFunction
 
update(float, float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.AbstractAggregatingFunction

Updates prototype to adapt it to its correspondant pattern

update(float, float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.EuclideanAggregatingFunction
 
update(float, float[], float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.aggregatingfunctions.KMeansEuclideanAggregatingFunction
 
update(Graphics) - Method in class fr.loria.cortex.ginnet.gui.graphs.Graph

Updates the object

update(Graphics) - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the component is repainted

update(Graphics) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
updateAccumulators() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.GNG

Updates all accumulator

updateAfterStop() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Updates command panel after model has been stopped

updateAfterStop() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel

Enables (or disables) the command panel

updateAfterTest() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
updateAfterTest() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
updateAfterTest() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
updateCoef - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.NeuralGas

Update coefficient (lambda) decreases modification importance according to the rank of the node

updateCoefSpinner - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.NeuralGasCommandPanel

Select update coefficient

updateConnectionFromMinimalRepresentation(Float[]) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Restores the value of each saved connection betweek the input layer and the next one, with the specified information.

updateFixedWidthData() - Method in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

Updates the preview table when it shows fixed data

updateFromMinimalRepresentation(Collection) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Updates the perceptron's state with the specified minimal representation.

updateLabels(int, Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Associates given pattern and its label with given node.

updateMessage(String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.task.LongTask

Displays given progression message

updateMessage(String) - Method in interface fr.loria.cortex.ginnet.dynnet.utils.task.LongTaskDisplayer

Displays given progression message

updateMessage(String) - Method in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
updateMessage(String) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Updates long task bar message if necessary

updateMetaLearner(AbstractMetaSupervisedLearner) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Updates meta-learner.

updateMethodCommandPanels() - Method in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Updates the model before learning,
 i.e. updates its parameters if needed.

updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractCompetitiveNetworkCommandPanel

Updates neural network values before learning

updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Updates neural network values before learning

updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.KohonenCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.NeuralGasCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.PerceptronCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.TOMCommandPanel
 
updateModel() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
updateNetworkTab() - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Updates network tab graphics if necessary

updatePatterns() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Updates patterns.

updatePatterns() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
updatePatterns() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel
 
updatePatterns() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.TreeCommandPanel
 
updatePatternSpinner() - Method in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel
 
updatePreview() - Method in class fr.loria.cortex.ginnet.gui.data.ImportWizard

Updates the preview table

updateProgress(int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.task.LongTask

Displays given progression percentage

updateProgress(int) - Method in interface fr.loria.cortex.ginnet.dynnet.utils.task.LongTaskDisplayer

Displays given progression percentage

updateProgress(int) - Method in class fr.loria.cortex.ginnet.gui.dialogs.LongTaskDialog
 
updateProgressMessage(String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Updates progress state if necessary (if progress has increased).

updateProgressMessage(String, int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Updates progress state if necessary (if progress has increased).

updatePrototypes() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Updates the prototypes for all nodes

updatePrototypes(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeans

Updates the prototypes for given node

updatePrototypes(Node) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

Updates the prototypes

updateStopCriterion(float) - Method in class fr.loria.cortex.ginnet.dynnet.methods.management.wrapper.BackwardWrapper

Updates the stop's criterion's evaluation information, for the computation to be done.

updateView() - Method in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Updates network view.

url - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

URL

url - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
usedAttributes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
usedAttributes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
user - Variable in class fr.loria.cortex.ginnet.data.DBDataLoader

User

user - Variable in class fr.loria.cortex.ginnet.gui.data.DBWizard
 
userHome - Variable in class fr.loria.cortex.ginnet.dynnet.utils.preferences.DynNetPreferences

User home directory





V

v - Variable in class fr.loria.cortex.ginnet.gui.dialogs.RedundantDialog
 
v - Variable in class fr.loria.cortex.ginnet.gui.tablemodels.DataTableModel

Highlighted items vector

valid - Variable in class fr.loria.cortex.ginnet.gui.GINNetThread

Boolean set at true if validations must be performed while learning

validate() - Method in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
validate() - Method in interface fr.loria.cortex.ginnet.dynnet.methods.SupervisedMethod

Performs validation on all validation patterns.

validate() - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Makes a validation cycle, submit all the validation patterns to the network

validate() - Method in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Performs validation on all validation patterns.

validation - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Boolean set at true if validation must be performed while learning

VALIDATION - Static variable in interface fr.loria.cortex.ginnet.dynnet.corpus.patterns.Patterns

Validation pattern type

VALIDATION_COLOR - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

Validation color

VALIDATION_LINE - Static variable in class fr.loria.cortex.ginnet.dynnet.corpus.AbstractFileCorpus

Name of learn patterns in file

validationCF - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.Perceptron

Validation confusion matrix

validationCheckBox - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.AbstractMethodCommandPanel

Validate while learning check box

validationError - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner

Last validation error of the meta-learner

validationError - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.AbstractSupervisedNetwork

Mean error for all validation patterns

validationError - Variable in class fr.loria.cortex.ginnet.dynnet.trees.AbstractDecisionTree

Last validation error

validationError - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 
validationErrorLabel - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.AbstractNetworkCommandPanel

Validation error label

validationIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SimpleEntries
 
validationIndexes - Variable in class fr.loria.cortex.ginnet.dynnet.methods.entries.SubEntries
 
validationMessage - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.AbstractMetaSupervisedLearner
 
validationPatterns - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

List of patterns selected for validation

validationSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.patterns.TestValidationPatternSeparationDialog

Validation patterns proportion spinner

value - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.NumericalAttribute

float value of the attribute

value - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.SymbolicAttribute

String value of the attribute

value - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.Node

Value of the node

value - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.Bias

Weight of the bias

value - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedConnection

The weight value of this connection

value - Variable in class fr.loria.cortex.ginnet.gui.dialogs.AddColumnDialog
 
value - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Associated float array, if any

VARIABLE_MENU_TOOL_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of variable menu

VARIABLE_MENUS_DISABLE_TOOl_TIP - Static variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Tool tip text of variable edition menus when disabled

variableMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.CorpusTab

Menu to edit variables

variableNames - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.patterns.impl.ListPatternsImpl

Names of all variables

variableNames - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.GNGView

Names of the input variables

variableNames - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.KMeansView

Names of the input variables

variableNames - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.KohonenView

Names of the input variables

variableNames - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.NeuralGasView

Names of the input variables

variables - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.FilterDialog

Array of SelectedVariables

variance(double[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the variance value of a vector of double

variance(float[]) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.math.DynnetMath

Computes the variance value of a vector of float

Variance - Class in fr.loria.cortex.ginnet.dynnet.trees.informationfunctions

Variance is used to evaluate quantity of information based on Variance in a decision tree.

Variance(Entries) - Constructor for class fr.loria.cortex.ginnet.dynnet.trees.informationfunctions.Variance

Constructor.

varianceDesired - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.errorfunctions.RMSEErrorFunction
 
variances - Variable in class fr.loria.cortex.ginnet.dynnet.corpus.PCA
 
vdata - Variable in class fr.loria.cortex.ginnet.gui.data.ImportTableModel

The dataq

vectLayer - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
vectLayer - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Vector of GraphLayer

vectNb - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.PerceptronDialog
 
vectNeurons - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Vector of GraphNeuron objects associated to this layer

VERSION - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.DynNetConstants

DynNet version

VERSION - Static variable in class fr.loria.cortex.ginnet.gui.GINNet

Version number of GINNet

visit(CategorizationCorpus) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.IVisitorCorpus

Visits a CategorizationCorpus.

visit(ClassificationCorpus) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.IVisitorCorpus

Visits a ClassificationCorpus.

visit(ForecastCorpus) - Method in interface fr.loria.cortex.ginnet.dynnet.corpus.IVisitorCorpus

Visits a ForecastCorpus.

visit(AbstractNeuralNetwork) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a neural network depending on its type.

visit(CompetitivePopulation) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitiveNetworkVisitor

Visits a competitive population

visit(CompetitivePopulation) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
visit(Node, boolean) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitiveNetworkVisitor

Visits a node of a competitive population

visit(Node, boolean) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a node of a competitive population

visit(GNG) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.gng.IVisitorGNG

Visits a GNG

visit(GNG) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
visit(KMeans) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kmeans.KMeansIVisitor

Visits a KMeans network

visit(KMeans) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a K-Means.

visit(Kohonen) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.IVisitorKohonen

Visits a Kohonen map

visit(Kohonen) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a Kohonen.

visit(NeuralGas) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.neuralgas.IVisitorNG

Visits a neural gas network

visit(NeuralGas) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a Neural Gas

visit(Perceptron) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.IVisitorPerceptron

Visits a Perceptron network.

visit(Perceptron) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a Perceptron

visit(NeuronUnit) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.IVisitorPerceptron

Visits a Perceptron unit.

visit(NeuronUnit) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a Unit.

visit(SupervisedPopulation) - Method in interface fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.perceptron.IVisitorPerceptron

Visits a Perceptron population.

visit(SupervisedPopulation) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits a population of supervised network.

visit(JFrame, LabelledPatterns) - Method in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Visits categorization patterns.

visitAfterLearning() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Display informations needed after learning.

visitBeforeLearning() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Display informations needed before learning.

visitor - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.MetaLearnerCommandPanel
 
visitor - Variable in class fr.loria.cortex.ginnet.gui.tabs.MetaLearnerTab

The graphical visitor used to draw a representation of the meta learner and its sub-learners.

visitor - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

The graphical visitor used to draw a 2D representation of input space

VisitorGUI - Class in fr.loria.cortex.ginnet.gui.visitor

VisitorGUI is a panel that visits and display network models.

VisitorGUI() - Constructor for class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI

Constructs Visitor.

visitResult(int) - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Display the result of the meta-learner and its sub-learners
 for one given pattern.

visitResults() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Display the result of the meta-learner and its sub-learners after testing or validating.

visitWhileLearning() - Method in class fr.loria.cortex.ginnet.gui.visitor.metalearning.MetaLearnerGUIVisitor

Display informations needed while learning.

votes - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.combiners.MajorityVoteCombiner
 
votes - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Votes associate to a label the sum of
 all notes of learners voting for this label

votesPanel - Variable in class fr.loria.cortex.ginnet.gui.visitor.metalearning.resulting.MetaLearnerResultPanel
 




W

w - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Coordinates of the layer on the screen

W - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
 
WaitDialog - Class in fr.loria.cortex.ginnet.gui.dialogs

WaitDialog is a dialog used to ask the user to wait (for long processes).

WaitDialog(GINNet) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.WaitDialog

Builds the dialog

weightMemory - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
weightPower - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler
 
weights - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.arcing.ArcingSampler

Weight attributed to all learn samples

weights - Variable in class fr.loria.cortex.ginnet.dynnet.metalearners.models.boosting.AdaBoostSamplerAndCombiner

Weight attributed to all learn samples

weights - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.supervisednetworks.SupervisedNetworkFromDynNetExample.Layer

Weights of this layer for each output neuron

width - Variable in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
width - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.LayoutPanel

Width and height of the layer

width - Static variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Half of the width of the rectangle

width - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
WilksEvaluationCriterion - Class in fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria

This class defines the Wilks' criterion.

WilksEvaluationCriterion() - Constructor for class fr.loria.cortex.ginnet.dynnet.utils.criteriastrategy.evaluationcriteria.WilksEvaluationCriterion

Create a new Wilks' criterion

winner - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronNodeGraph

True if this GraphNeuronNode is the winner

winner - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronUnitGraph

True if neuron is winner

winner - Variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView
 
WinnerKernelFunction - Class in fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions

WinnerKernelFunction defines a kernel that only contains the winner node (the one whose distance is 0).

WinnerKernelFunction() - Constructor for class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.kernelfunctions.WinnerKernelFunction

Creates a kernel function with "Winner" name

winnerLearningCoef - Variable in class fr.loria.cortex.ginnet.gui.commandpanels.networkcommandpanels.GNGCommandPanel
 
wrapperClass - Variable in class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Class of embedded method to instanciate

WrapperDialog - Class in fr.loria.cortex.ginnet.gui.dialogs.featureselection

WrapperDialog is the GUI to launch wrapper variable selection methods.

WrapperDialog(Perceptron, Class, String) - Constructor for class fr.loria.cortex.ginnet.gui.dialogs.featureselection.WrapperDialog

Initializes Wrapper dialog.

wrapperMenu - Variable in class fr.loria.cortex.ginnet.gui.tabs.NetworkTab

Wrapper variable selection menu

writeBeginningCode(String) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Write first part of all model from DynNet generated class, i.e.:
 
 license and comments
 class declaration
 nbInputs attribute
 common methods:
 
 public String getName()
 public String getComment()
 public int getNbInputs()
 public short[] getInputTypes() if needed
 public String[] getInputs()
 common methods specific to numerical model if needed
 public int getNbOutputs()
 public String[] getLabels()
 
 
 

writeEndCode() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes the end of the Java class declaration and closes writer.

writeMainMethod() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes output main method declaration.

writeNumericalMethods() - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes methods specific to numerical models, i.e.:
 
 double[] getMeans() method
 double[] getStandardDeviations() method
 

writePrototypes(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.AbstractCompetitiveNetwork

Saves prototype of Nodes into a file.

writePrototypes(String) - Method in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.CompetitivePopulation

Saves prototype of Node into a file.

writer - Static variable in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

File writer used to write into target Java file

writeSpecificCode(AbstractMetaSupervisedLearner) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes into target Java file the code specific to meta-learners, i.e.:
 
 public String getOutput(Object[] inputs) method using sub learner classes previously created
 

writeSpecificCode(AbstractCompetitiveNetwork) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes into target Java file the code specific to competitive networks, i.e.:
 
 public String getOutput(Object[] inputs) method
 distance function
 

writeSpecificCode(AbstractSupervisedNetwork) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes into target Java file the code specific to supervised network, i.e.:
 
 Transfert functions used
 public double[] getOutputs(double[] inputs) method declaration
 Layer class declaration
 

writeSpecificCode(AbstractDecisionTree) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

Writes into target Java file the code specific to decision trees, i.e.:
 
 public String getOutput(Object[] inputs) method
 

writeSupervisedNetworkComputation(int) - Static method in class fr.loria.cortex.ginnet.dynnet.utils.modelfromdynnetcreation.ModelFromDynNetFactory

This method is used by saveAsExternalCode method to perform a recursive task : writing layers computation.





X

x - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

The x coordinate

x - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.KohonenNode

X coordinate in map

x - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Coordinates of the layer on the screen

x - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Coordinate in the screen

x - Variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Position in the virtual grid

x - Variable in class fr.loria.cortex.ginnet.gui.visitor.Position

X coordinate

x_pos - Variable in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
xmax - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
xmin - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
xSize - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

The X-size of the self-organizing grid

xSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 




Y

y - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.competitivenetworks.distancefunctions.Coordinate

The y coordinate

y - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.KohonenNode

Y coordinate in map

y - Variable in class fr.loria.cortex.ginnet.gui.graphs.LayerGraph

Coordinates of the layer on the screen

y - Variable in class fr.loria.cortex.ginnet.gui.graphs.NeuronGraph

Coordinate in the screen

y - Variable in class fr.loria.cortex.ginnet.gui.graphs.TreeNodeGraph

Position in the virtual grid

y - Variable in class fr.loria.cortex.ginnet.gui.visitor.Position

Y coordinate

Y - Variable in class fr.loria.cortex.ginnet.data.HoKashyap
 
y_pos - Variable in class fr.loria.cortex.ginnet.gui.CloseTabIcon
 
yLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
ymax - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
ymin - Variable in class fr.loria.cortex.ginnet.gui.visitor.VisitorGUI
 
ySize - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

The Y-size of the self-organizing grid

ySpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 




Z

z - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.KohonenNode

Z coordinate in map

zLabel - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 
ZOOM - Static variable in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Zoom coefficient

zoomButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeTab

Called when zoom button is pressed.

zoomButtonPressed(ActionEvent) - Method in class fr.loria.cortex.ginnet.gui.tabs.TreeView

Called when zoom button is pressed.

zoomIn() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the uses clicks on "zoom +" button

zoomInButton - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
zoomOut() - Method in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView

Called when the uses clicks on "zoom -" button

zoomOutButton - Variable in class fr.loria.cortex.ginnet.gui.tabs.network.AbstractNetworkView
 
zSize - Variable in class fr.loria.cortex.ginnet.dynnet.neuralnetworks.models.kohonen.Kohonen

The Z-size of the self-organizing grid

zSpinner - Variable in class fr.loria.cortex.ginnet.gui.dialogs.networkdialogs.subpanels.DimensionPanel
 

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