keel.Algorithms.MIL.APR

Class AbstractAPR

java.lang.Object

keel.Algorithms.MIL.AbstractMIAlgorithm

keel.Algorithms.MIL.APR.AbstractAPR

Direct Known Subclasses:

GFS_AllPositive_APR, GFS_ElimCount_APR, GFS_Kde_APR, IteratedDiscrimination

public abstract class AbstractAPR
extends AbstractMIAlgorithm

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.ArrayList<java.lang.Integer>	bestFeatures

Fields inherited from class keel.Algorithms.MIL.AbstractMIAlgorithm

classIndex, numberFeatures, testDataset, testInstances, testReportFileName, trainDataset, trainInstances, trainInstancesCopy, trainReportFileName

Constructor Summary

Constructors

Constructor and Description
AbstractAPR()

Method Summary

Modifier and Type	Method and Description
protected boolean	contains(double[][] rectangle, IInstance instance)
protected boolean	contains(double[][] rectangle, IInstance instance, java.util.ArrayList<java.lang.Integer> features)
protected int[]	discriminatingFeatures(double[][] rectangle, int Class)
protected void	greedyFeatureSelection(double[][] rectangle, int Class)
protected double	max(int attribute, int Class)
protected double	min(int attribute, int Class)
protected void	removeInstances(double[][] rectangle, int Class, int feature)
protected void	report(java.lang.String reportFileName, IDataset dataset, java.util.ArrayList<java.util.ArrayList<IInstance>> instances, double[][] rectangle, int Class)
protected void	report(java.lang.String reportFileName, IDataset dataset, java.util.ArrayList<java.util.ArrayList<IInstance>> instances, double[][] rectangle, int Class, java.util.ArrayList<java.lang.Integer> features)

Methods inherited from class keel.Algorithms.MIL.AbstractMIAlgorithm

execute, getClassIndex, getNumberFeatures, getTrainInstances, loadTestDataset, loadTrainDataset, setDatasetSettings, setTestReportFileName, setTrainReportFileName

Methods inherited from class java.lang.Object

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

Field Detail

bestFeatures

protected java.util.ArrayList<java.lang.Integer> bestFeatures

Constructor Detail

AbstractAPR

public AbstractAPR()

Method Detail

greedyFeatureSelection

protected void greedyFeatureSelection(double[][] rectangle,
                                      int Class)

discriminatingFeatures

protected int[] discriminatingFeatures(double[][] rectangle,
                                       int Class)

removeInstances

protected void removeInstances(double[][] rectangle,
                               int Class,
                               int feature)

contains

protected boolean contains(double[][] rectangle,
                           IInstance instance)

contains

protected boolean contains(double[][] rectangle,
                           IInstance instance,
                           java.util.ArrayList<java.lang.Integer> features)

min

protected double min(int attribute,
                     int Class)

max

protected double max(int attribute,
                     int Class)

report

protected void report(java.lang.String reportFileName,
                      IDataset dataset,
                      java.util.ArrayList<java.util.ArrayList<IInstance>> instances,
                      double[][] rectangle,
                      int Class)

report

protected void report(java.lang.String reportFileName,
                      IDataset dataset,
                      java.util.ArrayList<java.util.ArrayList<IInstance>> instances,
                      double[][] rectangle,
                      int Class,
                      java.util.ArrayList<java.lang.Integer> features)