wGmdh.jGmdh.util.supervised
Class PercentageSplitHandler

java.lang.Object
  wGmdh.jGmdh.util.supervised.DatasetSupervised
      wGmdh.jGmdh.util.supervised.PercentageSplitHandler

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, DatasetHandlerSupervised

public class PercentageSplitHandler
extends DatasetSupervised

A class used to feed Models when using the percentage split scheme to optimize structure.

See Also:

Serialized Form

Field Summary

Fields inherited from class wGmdh.jGmdh.util.supervised.DatasetSupervised

folds, learningGoals, learningSets, validationGoals, validationSets

Constructor Summary

PercentageSplitHandler()

PercentageSplitHandler(weka.core.Instances dataset, float trainPercentage)

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.lang.String[]	getOptions()
float	getTrainPercentage()
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()
void	initialize()
java.util.Enumeration	listOptions()
void	setOptions(java.lang.String[] options)
void	setTrainPercentage(float trainPercentage)

Methods inherited from class wGmdh.jGmdh.util.supervised.DatasetSupervised

getDimension, getInstances, setDimension, setInstances

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PercentageSplitHandler

public PercentageSplitHandler()

PercentageSplitHandler

public PercentageSplitHandler(weka.core.Instances dataset,
                              float trainPercentage)
                       throws java.lang.Exception

Throws:

java.lang.Exception

Method Detail

initialize

public void initialize()

Overrides:

initialize in class DatasetSupervised

getValidationSets

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

getLearningSets

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

getValidationGoals

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

getLearningGoals

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

getValidationInputs

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

getLearningInputs

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

getValidationOutputs

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

getLearningOutputs

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

getTrainPercentage

public float getTrainPercentage()

Returns:

the trainPercentage

setTrainPercentage

public void setTrainPercentage(float trainPercentage)

Parameters:

trainPercentage - the trainPercentage to set

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class DatasetSupervised

Parameters:

options -

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class DatasetSupervised

Returns:

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class DatasetSupervised