Uses of Class
wGmdh.jGmdh.exceptions.TooBig

Packages that use TooBig

wGmdh
wGmdh.jGmdh.gui
wGmdh.jGmdh.hybrid
wGmdh.jGmdh.oldskul
wGmdh.jGmdh.playground

Uses of TooBig in wGmdh

Methods in wGmdh that throw TooBig

void	Msc.next(int nrIteration)
void	MscPrototype.next(int nrIteration) Deprecated.

Uses of TooBig in wGmdh.jGmdh.gui

Methods in wGmdh.jGmdh.gui that throw TooBig

java.lang.String

NodebuttonPanel.highlightModelIterative(java.awt.Graphics g, NodeGraphics root) Called from the highlighting thread, repaints after each iteration.

Uses of TooBig in wGmdh.jGmdh.hybrid

Methods in wGmdh.jGmdh.hybrid that throw TooBig

protected double[]	ErrorPropagatingModel.coeffsFromData(double[] regressTo, double[][] trainingData) Fits the coefficients to residual of the existing fit.
static java.util.List<java.util.List<java.lang.Integer>>	SseRegressionEquations.combinations(java.util.List<java.lang.Integer> set, int order) Generates combinations without repetition of elements that belong to set
static java.util.List<java.util.List<java.lang.Integer>>	SseRegressionEquations.combinationsRepeating(java.util.List<java.lang.Integer> set, int order) Generates combinations with repetition of elements that belong to set
static LinearEqSystem	SseRegressionEquations.extendSystemByOne(LinearEqSystem system, double[][] inputs, double[] regressTo)
Model	ErrorPropagatingModelFactory.instantiate(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links) Deprecated.
static java.util.List<java.lang.Integer>	SseRegressionEquations.removeCR2List(int setSize, java.util.List<java.lang.Integer> n) Generates a list of all locations that need to be erased to have all the combinations that contain n-th element from a list of 1-combinations and 2-combinations removed.

Constructors in wGmdh.jGmdh.hybrid that throw TooBig

ErrorPropagatingModel(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, 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 TooBig in wGmdh.jGmdh.oldskul

Methods in wGmdh.jGmdh.oldskul that throw TooBig

void	Model.coeffsAndErrors(DatasetHandlerSupervised handler) Folds dataSetToFold.
void	Model.coeffsAndErrors(weka.core.Instances dataset, double trainPercentage) Deprecated.
void	Model.coeffsAndErrors(weka.core.Instances datasetToFold, int numFolds) Deprecated.
protected abstract double[]	Model.coeffsFromData(double[] regressTo, double[][] trainingData) Obtains coefficients by regression.
protected double[]	TwoInputModel.coeffsFromData(double[] regressTo, double[][] trainingData) Least squares fitting of basic GMDH building-block, a (second-order) polynomial P(trainingData[0],trainingData[1]).
TwoInputModel	CopyCat.copyStructure(weka.core.Instances trainInsts) Trains a new model that has the same structure as this.
Model	CopyCat.copyStructureAndPurify(weka.core.Instances trainInsts) Trains a new model that has the same structure as this.
java.util.ArrayList<Model.Summand>	Model.generateSummands(double[] coefficients) i.e. model has following form: P10 = a0 + a1*P1 + a2*P2 + a3*P3 + a4*P1*P1 + a5*P1*P2 + a6*P1*P3 + a7*P2*P2 + a8*P2*P3 + a9*P3*P3, method would return [ [a0, [null]], [a1,[P1]], [a2,[P2]], [a3,[P3]], [a4,[P1,P1]], [a5,[P1,P2]], ...]
Model	TwoInputModelFactory.instantiate(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links) Deprecated.
abstract double[]	Model.localOuputOnArray(double[][] inputs, double[] coeffs) Calculates value that a GMDH polynomial takes in a point, for an array of points, using coeffs as coefficients.
double[]	TwoInputModel.localOuputOnArray(double[][] inputs, double[] coefficients) Calculates the GMDH model output given an array of immediate inputs
int	MultiSelectCombi.mscGrow() Grow network by one layer; in multilayered version of selectional-combinatorial algorithm.
void	MultiSelectCombi.multiSelectCombi(int nrLayers)
static java.lang.String	MultiSelectCombi.polynomialExpressionGlobal(Model target, int fold) Submodels will be marked by their uniqueID.

Constructors in wGmdh.jGmdh.oldskul that throw TooBig

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<double[]> regressionGoals, java.util.ArrayList<double[]> validationGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
Deprecated.

Model(DatasetHandlerSupervised handler, Performance selectionCriterion, Performance errorMeasure, java.util.ArrayList<Node> links)

Model(double[] regressionGoals, Performance selectionCriterion, Performance errorMeasure, Node... links)
Deprecated.

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(Performance selectionCriterion, Performance errorMeasure, Node... inputs)
Sets up performance criteria and links.

Uses of TooBig in wGmdh.jGmdh.playground

Methods in wGmdh.jGmdh.playground that throw TooBig

static void

Toy.main(java.lang.String[] args)