wGmdh.jGmdh.util.supervised
Interface DatasetHandlerSupervised

All Known Implementing Classes:

CvHandler, DatasetSupervised, PercentageSplitHandler

public interface DatasetHandlerSupervised

Interface intended to take care of the dataset, extract learning and structure validation sets, and delegate calls to the right methods. Additionaly, it is made to extract outputs from Nodes

Method Summary

java.util.Iterator<double[]>	getLearningGoals()
java.util.Iterator<double[][]>	getLearningInputs(Model m)
java.util.Iterator<double[]>	getLearningOutputs(Node n)
java.util.Iterator<weka.core.Instances>	getLearningSets()
java.util.Iterator<double[]>	getValidationGoals()
java.util.Iterator<double[][]>	getValidationInputs(Model m)
java.util.Iterator<double[]>	getValidationOutputs(Node n)
java.util.Iterator<weka.core.Instances>	getValidationSets()

Method Detail

getValidationSets

java.util.Iterator<weka.core.Instances> getValidationSets()

getValidationGoals

java.util.Iterator<double[]> getValidationGoals()

getLearningSets

java.util.Iterator<weka.core.Instances> getLearningSets()

getLearningGoals

java.util.Iterator<double[]> getLearningGoals()

getValidationInputs

java.util.Iterator<double[][]> getValidationInputs(Model m)

getLearningInputs

java.util.Iterator<double[][]> getLearningInputs(Model m)

getValidationOutputs

java.util.Iterator<double[]> getValidationOutputs(Node n)

getLearningOutputs

java.util.Iterator<double[]> getLearningOutputs(Node n)