weka.gui.boundaryvisualizer
Class RemoteBoundaryVisualizerSubTask

java.lang.Object
  weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask

All Implemented Interfaces:

java.io.Serializable, Task

public class RemoteBoundaryVisualizerSubTask

extends java.lang.Object

implements Task

Class that encapsulates a sub task for distributed boundary visualization. Produces probability distributions for each pixel in one row of the visualization.

Since:

1.0

Version:

$Revision: 1.2 $

Author:

Mark Hall

See Also:

Task, Serialized Form

Field Summary

private boolean[]	m_attsToWeightOn
private Classifier	m_classifier
private DataGenerator	m_dataGenerator
private double[]	m_dist
private double	m_maxX
private double	m_maxY
private double	m_minX
private double	m_minY
private int	m_numOfSamplesPerGenerator
private int	m_numOfSamplesPerRegion
private int	m_panelHeight
private int	m_panelWidth
private double	m_pixHeight
private double	m_pixWidth
private Instance	m_predInst
private java.util.Random	m_random
private RemoteResult	m_result
private int	m_rowNumber
private double	m_samplesBase
private TaskStatusInfo	m_status
private Instances	m_trainingData
private double[]	m_vals
private double[]	m_weightingAttsValues
private int	m_xAttribute
private int	m_yAttribute

Constructor Summary

RemoteBoundaryVisualizerSubTask()

Method Summary

private double[]	calculateRegionProbs(int j, int i)
void	execute() Perform the sub task
private double	getRandomX(int pix) Return a random x attribute value contained within the pix'th horizontal pixel
private double	getRandomY(int pix) Return a random y attribute value contained within the pix'th vertical pixel
TaskStatusInfo	getTaskStatus() Return status information for this sub task
void	setClassifier(Classifier dc) Set the classifier to use
void	setDataGenerator(DataGenerator dg) Set the density estimator to use
void	setGeneratorSamplesBase(double ksb) Set the base for computing the number of samples to obtain from each generator. number of samples = base ^ (# non fixed dimensions)
void	setInstances(Instances i) Set the training data
void	setMinMaxX(double minx, double maxx) Set the minimum and maximum values of the x axis fixed dimension
void	setMinMaxY(double miny, double maxy) Set the minimum and maximum values of the y axis fixed dimension
void	setNumSamplesPerRegion(int num) Set the number of points to uniformly sample from a region (fixed dimensions).
void	setPanelHeight(int ph) Set the height of the visualization
void	setPanelWidth(int pw) Set the width of the visualization
void	setPixHeight(double ph) Set the height of a pixel
void	setPixWidth(double pw) Set the width of a pixel
void	setRowNumber(int rn) Set the row number for this sub task
void	setXAttribute(int xatt) Set the x axis fixed dimension
void	setYAttribute(int yatt) Set the y axis fixed dimension

Methods inherited from class java.lang.Object

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

Field Detail

m_status

private TaskStatusInfo m_status

m_result

private RemoteResult m_result

m_rowNumber

private int m_rowNumber

m_panelHeight

private int m_panelHeight

m_panelWidth

private int m_panelWidth

m_classifier

private Classifier m_classifier

m_dataGenerator

private DataGenerator m_dataGenerator

m_trainingData

private Instances m_trainingData

m_xAttribute

private int m_xAttribute

m_yAttribute

private int m_yAttribute

m_pixHeight

private double m_pixHeight

m_pixWidth

private double m_pixWidth

m_minX

private double m_minX

m_minY

private double m_minY

m_maxX

private double m_maxX

m_maxY

private double m_maxY

m_numOfSamplesPerRegion

private int m_numOfSamplesPerRegion

m_numOfSamplesPerGenerator

private int m_numOfSamplesPerGenerator

m_samplesBase

private double m_samplesBase

m_random

private java.util.Random m_random

m_weightingAttsValues

private double[] m_weightingAttsValues

m_attsToWeightOn

private boolean[] m_attsToWeightOn

m_vals

private double[] m_vals

m_dist

private double[] m_dist

m_predInst

private Instance m_predInst

Constructor Detail

RemoteBoundaryVisualizerSubTask

public RemoteBoundaryVisualizerSubTask()

Method Detail

setRowNumber

public void setRowNumber(int rn)

Set the row number for this sub task

Parameters:

rn - the row number

setPanelWidth

public void setPanelWidth(int pw)

Set the width of the visualization

setPanelHeight

public void setPanelHeight(int ph)

Set the height of the visualization

Parameters:

ph - the height

setPixHeight

public void setPixHeight(double ph)

Set the height of a pixel

Parameters:

ph - the height of a pixel

setPixWidth

public void setPixWidth(double pw)

Set the width of a pixel

Parameters:

pw - the width of a pixel

setClassifier

public void setClassifier(Classifier dc)

Set the classifier to use

Parameters:

dc - the classifier

setDataGenerator

public void setDataGenerator(DataGenerator dg)

Set the density estimator to use

Parameters:

dg - the density estimator

setInstances

public void setInstances(Instances i)

Set the training data

Parameters:

i - the training data

setMinMaxX

public void setMinMaxX(double minx,
                       double maxx)

Set the minimum and maximum values of the x axis fixed dimension

Parameters:

minx - a double value

maxx - a double value

setMinMaxY

public void setMinMaxY(double miny,
                       double maxy)

Set the minimum and maximum values of the y axis fixed dimension

Parameters:

miny - a double value

maxy - a double value

setXAttribute

public void setXAttribute(int xatt)

Set the x axis fixed dimension

Parameters:

xatt - an int value

setYAttribute

public void setYAttribute(int yatt)

Set the y axis fixed dimension

Parameters:

yatt - an int value

setNumSamplesPerRegion

public void setNumSamplesPerRegion(int num)

Set the number of points to uniformly sample from a region (fixed dimensions).

Parameters:

num - an int value

setGeneratorSamplesBase

public void setGeneratorSamplesBase(double ksb)

Set the base for computing the number of samples to obtain from each generator. number of samples = base ^ (# non fixed dimensions)

Parameters:

ksb - a double value

execute

public void execute()

Perform the sub task

Specified by:

execute in interface Task

calculateRegionProbs

private double[] calculateRegionProbs(int j,
                                      int i)
                               throws java.lang.Exception

Throws:

java.lang.Exception

getRandomX

private double getRandomX(int pix)

Return a random x attribute value contained within the pix'th horizontal pixel

Parameters:

pix - the horizontal pixel number

Returns:

a value in attribute space

getRandomY

private double getRandomY(int pix)

Return a random y attribute value contained within the pix'th vertical pixel

Parameters:

pix - the vertical pixel number

Returns:

a value in attribute space

getTaskStatus

public TaskStatusInfo getTaskStatus()

Return status information for this sub task

Specified by:

getTaskStatus in interface Task

Returns:

a TaskStatusInfo value