Uses of Class
wGmdh.jGmdh.oldskul.Model

Packages that use Model
wGmdh.jGmdh.gui   
wGmdh.jGmdh.hybrid   
wGmdh.jGmdh.oldskul   
wGmdh.jGmdh.oldskul.measures   
wGmdh.jGmdh.util.supervised   
 

Uses of Model in wGmdh.jGmdh.gui
 

Methods in wGmdh.jGmdh.gui with parameters of type Model
protected  void GuiManager.initializeModelGraphics(Model model)
           
 

Method parameters in wGmdh.jGmdh.gui with type arguments of type Model
 void GuiManager.launchGUI(java.util.List<Model> modelsToAdd)
          Sets everything up for display: initializes and displays the layer of attributes and all models listed in modelsToAdd
protected  void GuiManager.representModels(java.util.List<? extends Model> toDraw)
           
 

Uses of Model in wGmdh.jGmdh.hybrid
 

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

Methods in wGmdh.jGmdh.hybrid that return Model
 Model ErrorPropagatingModelFactory.instantiate()
           
 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)
           
 

Uses of Model in wGmdh.jGmdh.oldskul
 

Subclasses of Model in wGmdh.jGmdh.oldskul
 class TwoInputModel
          Polynomial GMDH node with two inputs, by L2 fitting
 

Fields in wGmdh.jGmdh.oldskul with type parameters of type Model
protected  java.util.ArrayList<Model> SlidingFilter.models
           
 

Methods in wGmdh.jGmdh.oldskul that return Model
 Model CopyCat.copyStructureAndPurify(weka.core.Instances trainInsts)
          Trains a new model that has the same structure as this.
 Model ModelFactory.instantiate()
           
 Model TwoInputModelFactory.instantiate()
           
 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)
           
 

Methods in wGmdh.jGmdh.oldskul that return types with arguments of type Model
abstract  java.util.ArrayList<Model> NodeFilter.getSortedModels()
          It's useful to have all models that have been presented to us at disposal, furthermore sorted
 java.util.ArrayList<Model> SlidingFilter.getSortedModels()
           
 

Methods in wGmdh.jGmdh.oldskul with parameters of type Model
static java.lang.String MultiSelectCombi.polynomialExpressionGlobal(Model target, int fold)
          Submodels will be marked by their uniqueID.
 

Constructors in wGmdh.jGmdh.oldskul with parameters of type Model
CopyCat(Model m, ModelFactory f)
           
 

Uses of Model in wGmdh.jGmdh.oldskul.measures
 

Methods in wGmdh.jGmdh.oldskul.measures with parameters of type Model
 double CompoundError.calculate(Model model, double[] modeled, double[] goal)
           
abstract  double Measure.calculate(Model model, double[] modeled, double[] goal)
           
 double Omitted.calculate(Model model, double[] modeled, double[] goal)
           
 double Rrse.calculate(Model model, double[] modeled, double[] goal)
           
 double Sse.calculate(Model model, double[] modeled, double[] goal)
           
abstract  double Performance.calculate(Model model, int fold, double[] regressionGoal)
           
 double StructureLearningPerformance.calculate(Model model, int fold, double[] regressionGoal)
           
 double StructureValidationPerformance.calculate(Model model, int fold, double[] regressionGoal)
           
 int CompoundError.countSubmodels(Model model)
           
 

Uses of Model in wGmdh.jGmdh.util.supervised
 

Methods in wGmdh.jGmdh.util.supervised with parameters of type Model
 java.util.Iterator<double[][]> CvHandler.getLearningInputs(Model m)
           
 java.util.Iterator<double[][]> DatasetHandlerSupervised.getLearningInputs(Model m)
           
 java.util.Iterator<double[][]> PercentageSplitHandler.getLearningInputs(Model m)
           
 java.util.Iterator<double[][]> CvHandler.getValidationInputs(Model m)
           
 java.util.Iterator<double[][]> DatasetHandlerSupervised.getValidationInputs(Model m)
           
 java.util.Iterator<double[][]> PercentageSplitHandler.getValidationInputs(Model m)