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Class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask

java.lang.Object
    |
    +----weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask

public class RemoteBoundaryVisualizerSubTask

extends java.lang.Object

implements Task

Since:

1.0

Version:

$Revision: 1.1 $

Author:

Mark Hall

See Also:

Task

RemoteBoundaryVisualizerSubTask()

 

execute()

Perform the sub task

getTaskStatus()

Return status information for this sub task

setClassifier(DistributionClassifier)

Set the classifier to use

setDataGenerator(DataGenerator)

Set the density estimator to use

setGeneratorSamplesBase(double)

Set the base for computing the number of samples to obtain from each generator.

setInstances(Instances)

Set the training data

setMinMaxX(double, double)

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

setMinMaxY(double, double)

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

setNumSamplesPerRegion(int)

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

setPanelHeight(int)

Set the height of the visualization

setPanelWidth(int)

Set the width of the visualization

setPixHeight(double)

Set the height of a pixel

setPixWidth(double)

Set the width of a pixel

setRowNumber(int)

Set the row number for this sub task

setXAttribute(int)

Set the x axis fixed dimension

setYAttribute(int)

Set the y axis fixed dimension

public RemoteBoundaryVisualizerSubTask()

public void setRowNumber(int rn)

          Set the row number for this sub task

Parameters:

rn - the row number

public void setPanelWidth(int pw)

          Set the width of the visualization

Parameters:

the - width

public void setPanelHeight(int ph)

          Set the height of the visualization

Parameters:

ph - the height

public void setPixHeight(double ph)

          Set the height of a pixel

Parameters:

ph - the height of a pixel

public void setPixWidth(double pw)

          Set the width of a pixel

Parameters:

pw - the width of a pixel

public void setClassifier(DistributionClassifier dc)

          Set the classifier to use

Parameters:

dc - the classifier

public void setDataGenerator(DataGenerator dg)

          Set the density estimator to use

Parameters:

dg - the density estimator

public void setInstances(Instances i)

          Set the training data

Parameters:

i - the training data

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

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

public void setXAttribute(int xatt)

          Set the x axis fixed dimension

Parameters:

xatt - an int value

public void setYAttribute(int yatt)

          Set the y axis fixed dimension

Parameters:

yatt - an int value

public void setNumSamplesPerRegion(int num)

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

Parameters:

num - an int value

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

public void execute()

          Perform the sub task

public TaskStatusInfo getTaskStatus()

          Return status information for this sub task

Returns:

a TaskStatusInfo value

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