Uses of Class
wGmdh.jGmdh.oldskul.Node

Packages that use Node
wGmdh.jGmdh.gui   
wGmdh.jGmdh.hybrid   
wGmdh.jGmdh.oldskul   
wGmdh.jGmdh.util.supervised   
 

Uses of Node in wGmdh.jGmdh.gui
 

Fields in wGmdh.jGmdh.gui declared as Node
 Node NodeGraphics.node
           
 

Fields in wGmdh.jGmdh.gui with type parameters of type Node
 java.util.ArrayList<java.util.ArrayList<? extends Node>> GuiManager.layers
           
 

Constructors in wGmdh.jGmdh.gui with parameters of type Node
NodeGraphics(Node node)
           
NodeGraphics(Node node, int x, int y, int sizeX, int sizeY)
           
 

Constructor parameters in wGmdh.jGmdh.gui with type arguments of type Node
GuiManager(java.util.ArrayList<java.util.ArrayList<? extends Node>> layers, int x, int y, int borderX, int borderY)
           
 

Uses of Node in wGmdh.jGmdh.hybrid
 

Subclasses of Node in wGmdh.jGmdh.hybrid
 class ErrorPropagatingModel
          A two-input building block of additive GMDH
 

Methods in wGmdh.jGmdh.hybrid with parameters of type Node
 Model ErrorPropagatingModelFactory.instantiate(DatasetHandlerSupervised provider, Performance selectionCriterion, Performance errorMeasure, Node... links)
           
 Model ErrorPropagatingModelFactory.instantiate(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
          Deprecated. 
 Model ErrorPropagatingModelFactory.instantiate(Performance selectionCriterion, Performance errorMeasure, Node... links)
           
 

Constructors in wGmdh.jGmdh.hybrid with parameters of type Node
ErrorPropagatingModel(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
           
ErrorPropagatingModel(Node... links)
           
ErrorPropagatingModel(Performance selectionCriterion, Performance errorMeasure, Node... inputs)
          Sets up performance criteria and links.
ErrorPropagatingModel(Performance selectionCriterion, Performance errorMeasure, Node inputL, Node inputR)
          Sets up performance criteria and links.
 

Uses of Node in wGmdh.jGmdh.oldskul
 

Subclasses of Node in wGmdh.jGmdh.oldskul
 class AttributeNode
           
 class Model
          Contains basic functionality of a GMDH model, such as connectivity information and obtaining data at the inputs.
 class TwoInputModel
          Polynomial GMDH node with two inputs, by L2 fitting
 

Fields in wGmdh.jGmdh.oldskul with type parameters of type Node
 java.util.ArrayList<Node> Model.links
           
 java.util.ArrayList<java.util.ArrayList<? extends Node>> MultiSelectCombi.selectedLayers
           
 java.util.ArrayList<Node> Model.Summand.variables
           
 

Methods in wGmdh.jGmdh.oldskul that return Node
abstract  Node NodeFilter.feed(Node newNode)
          Present filter with a Node it needs to process.
 Node SlidingFilter.feed(Node newNode)
          Updates the models array.
 

Methods in wGmdh.jGmdh.oldskul that return types with arguments of type Node
abstract  java.util.ArrayList<Node> NodeFilter.getResult()
          Obtain results once you're done with feeding the filter
 java.util.ArrayList<Node> SlidingFilter.getResult()
           
 

Methods in wGmdh.jGmdh.oldskul with parameters of type Node
 int Node.compareTo(Node n)
           
abstract  Node NodeFilter.feed(Node newNode)
          Present filter with a Node it needs to process.
 Node SlidingFilter.feed(Node newNode)
          Updates the models array.
 Model ModelFactory.instantiate(DatasetHandlerSupervised provider, Performance selectionCriterion, Performance errorMeasure, Node... links)
           
 Model TwoInputModelFactory.instantiate(DatasetHandlerSupervised provider, Performance selectionCriterion, Performance errorMeasure, Node... links)
           
 Model ModelFactory.instantiate(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
          Deprecated. 
 Model TwoInputModelFactory.instantiate(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
          Deprecated. 
 Model ModelFactory.instantiate(Performance selectionCriterion, Performance errorMeasure, Node... links)
           
 Model TwoInputModelFactory.instantiate(Performance selectionCriterion, Performance errorMeasure, Node... inputs)
           
 

Constructors in wGmdh.jGmdh.oldskul with parameters of type Node
Model(java.util.ArrayList<double[]> regressionGoals, java.util.ArrayList<double[]> validationGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
          Deprecated. 
Model(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
          Deprecated. 
Model(Node... links)
           
Model(Performance selectionCriterion, Performance errorMeasure, Node... links)
          No regression or model evaluation takes place in this constructor.
TwoInputModel(java.util.ArrayList<double[]> regressionGoal, Performance selectionCriterion, Performance errorMeasure, Node inputL, Node inputR)
           
TwoInputModel(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
           
TwoInputModel(Node... links)
           
TwoInputModel(Performance selectionCriterion, Performance errorMeasure, Node... inputs)
          Sets up performance criteria and links.
 

Constructor parameters in wGmdh.jGmdh.oldskul with type arguments of type Node
Model(java.util.ArrayList<double[]> regressionGoals, java.util.ArrayList<double[]> validationGoals, Performance selectionCriterion, Performance errorMeasure, java.util.ArrayList<Node> links)
          Deprecated. 
Model(java.util.ArrayList<Node> links)
           
Model(DatasetHandlerSupervised handler, Performance selectionCriterion, Performance errorMeasure, java.util.ArrayList<Node> links)
           
 

Uses of Node in wGmdh.jGmdh.util.supervised
 

Methods in wGmdh.jGmdh.util.supervised with parameters of type Node
 java.util.Iterator<double[]> CvHandler.getLearningOutputs(Node n)
           
 java.util.Iterator<double[]> DatasetHandlerSupervised.getLearningOutputs(Node n)
           
 java.util.Iterator<double[]> PercentageSplitHandler.getLearningOutputs(Node n)
           
 java.util.Iterator<double[]> CvHandler.getValidationOutputs(Node n)
           
 java.util.Iterator<double[]> DatasetHandlerSupervised.getValidationOutputs(Node n)
           
 java.util.Iterator<double[]> PercentageSplitHandler.getValidationOutputs(Node n)