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java.lang.Object | +--weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Class that encapsulates a sub task for distributed boundary visualization. Produces probability distributions for each pixel in one row of the visualization.
Task
,
Serialized FormConstructor Summary | |
RemoteBoundaryVisualizerSubTask()
|
Method Summary | |
void |
execute()
Perform the sub task |
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. |
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 |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public RemoteBoundaryVisualizerSubTask()
Method Detail |
public void setRowNumber(int rn)
rn
- the row numberpublic void setPanelWidth(int pw)
public void setPanelHeight(int ph)
ph
- the heightpublic void setPixHeight(double ph)
ph
- the height of a pixelpublic void setPixWidth(double pw)
pw
- the width of a pixelpublic void setClassifier(Classifier dc)
dc
- the classifierpublic void setDataGenerator(DataGenerator dg)
dg
- the density estimatorpublic void setInstances(Instances i)
i
- the training datapublic void setMinMaxX(double minx, double maxx)
minx
- a double
valuemaxx
- a double
valuepublic void setMinMaxY(double miny, double maxy)
miny
- a double
valuemaxy
- a double
valuepublic void setXAttribute(int xatt)
xatt
- an int
valuepublic void setYAttribute(int yatt)
yatt
- an int
valuepublic void setNumSamplesPerRegion(int num)
num
- an int
valuepublic void setGeneratorSamplesBase(double ksb)
ksb
- a double
valuepublic void execute()
execute
in interface Task
public TaskStatusInfo getTaskStatus()
getTaskStatus
in interface Task
TaskStatusInfo
value
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Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London