public class ClassifierErrorsPlotInstances extends AbstractPlotInstances
Instances train = ... // from somewhere Instances test = ... // from somewhere Classifier cls = ... // from somewhere // build classifier cls.buildClassifier(train); // evaluate classifier and generate plot instances ClassifierPlotInstances plotInstances = new ClassifierPlotInstances(); plotInstances.setClassifier(cls); plotInstances.setInstances(train); plotInstances.setClassIndex(train.classIndex()); plotInstances.setUp(); Evaluation eval = new Evaluation(train); for (int i = 0; i < test.numInstances(); i++) plotInstances.process(test.instance(i), cls, eval); // generate visualization VisualizePanel visPanel = new VisualizePanel(); visPanel.addPlot(plotInstances.getPlotData("plot name")); visPanel.setColourIndex(plotInstances.getPlotInstances().classIndex()+1); // clean up plotInstances.cleanUp();
Constructor and Description |
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ClassifierErrorsPlotInstances() |
Modifier and Type | Method and Description |
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void |
cleanUp()
For freeing up memory.
|
Classifier |
getClassifier()
Returns the currently set classifier.
|
int |
getClassIndex()
Returns the 0-based class index.
|
Evaluation |
getEvaluation()
Returns the Evaluation object in use.
|
java.util.ArrayList<java.lang.Integer> |
getPlotShapes()
Get the vector of plot shapes (see weka.gui.visualize.Plot2D).
|
java.util.ArrayList<java.lang.Object> |
getPlotSizes()
Get the vector of plot sizes (see weka.gui.visualize.Plot2D).
|
boolean |
getPointSizeProportionalToMargin()
Get whether the point size should be proportional to the prediction margin
(classification only).
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boolean |
getSaveForVisualization()
Returns whether the instances are saved for visualization for only
evaluation of the prediction is to happen.
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void |
process(Instance toPredict,
Classifier classifier,
Evaluation eval)
Process a classifier's prediction for an instance and update a set of
plotting instances and additional plotting info.
|
void |
process(Instances batch,
double[][] predictions,
Evaluation eval) |
void |
setClassifier(Classifier value)
Sets the classifier used for making the predictions.
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void |
setClassIndex(int index)
Sets the 0-based class index.
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void |
setEvaluation(Evaluation value)
Sets the Evaluation object to use.
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void |
setPlotShapes(java.util.ArrayList<java.lang.Integer> plotShapes)
Set the vector of plot shapes to use;
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void |
setPlotSizes(java.util.ArrayList<java.lang.Object> plotSizes)
Set the vector of plot sizes to use
|
void |
setPointSizeProportionalToMargin(boolean b)
Set whether the point size should be proportional to the prediction margin
(classification only).
|
void |
setSaveForVisualization(boolean value)
Sets whether the instances are saved for visualization or only evaluation
of the prediction is to happen.
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canPlot, getInstances, getOptions, getPlotData, getPlotInstances, listOptions, setInstances, setOptions, setUp
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
makeCopy
public java.util.ArrayList<java.lang.Integer> getPlotShapes()
public java.util.ArrayList<java.lang.Object> getPlotSizes()
public void setPlotShapes(java.util.ArrayList<java.lang.Integer> plotShapes)
plotShapes
- public void setPlotSizes(java.util.ArrayList<java.lang.Object> plotSizes)
plotSizes
- the plot sizes to usepublic void setClassifier(Classifier value)
value
- the classifier to usepublic Classifier getClassifier()
public void setClassIndex(int index)
index
- the class indexpublic int getClassIndex()
public void setEvaluation(Evaluation value)
value
- the evaluation to usepublic Evaluation getEvaluation()
public void setSaveForVisualization(boolean value)
value
- if true then the instances will be savedpublic boolean getSaveForVisualization()
public void setPointSizeProportionalToMargin(boolean b)
b
- true if the point size should be proportional to the marginpublic boolean getPointSizeProportionalToMargin()
public void process(Instances batch, double[][] predictions, Evaluation eval)
public void process(Instance toPredict, Classifier classifier, Evaluation eval)
toPredict
- the actual data pointclassifier
- the classifiereval
- the evaluation object to use for evaluating the classifier on
the instance to predictm_PlotShapes
,
m_PlotSizes
,
AbstractPlotInstances.m_PlotInstances
public void cleanUp()
cleanUp
in class AbstractPlotInstances