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java.lang.Objectde.jstacs.classifiers.utils.ClassificationVisualizer
public class ClassificationVisualizer
This class enables you to visualize some classifier results.
Method Summary | |
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static ImageResult |
getScatterplot(AbstractScoreBasedClassifier cl1,
AbstractScoreBasedClassifier cl2,
DataSet class0,
DataSet class1,
REnvironment e,
boolean drawThreshold)
This method returns an ImageResult containing a scatter plot of
the scores for the given classifiers cl1 and
cl2 . |
static ImageResult |
plotScores(AbstractScoreBasedClassifier cl,
DataSet class0,
DataSet class1,
REnvironment e,
int bins,
double density,
String plotOptions)
This method returns an ImageResult containing a plot of the
histograms of the scores. |
static void |
plotScores(AbstractScoreBasedClassifier cl,
DataSet class0,
DataSet class1,
REnvironment e,
int bins,
double density,
String plotOptions,
String fName)
This method creates a pdf containing a plot of the histograms of the scores. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Method Detail |
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public static ImageResult plotScores(AbstractScoreBasedClassifier cl, DataSet class0, DataSet class1, REnvironment e, int bins, double density, String plotOptions) throws Exception
ImageResult
containing a plot of the
histograms of the scores. Further plotting options can be used to make
such results comparable.
cl
- the classifierclass0
- the sample for class 0class1
- the sample for class 1e
- the R environmentbins
- the number of bins in the plotdensity
- the density of shadingplotOptions
- further plot options, e.g.
xlim=c(-20,20), xlab="score"
, if
null
the default plotting options are chosen
Exception
- if something went wrongImageResult.ImageResult(String, String,
java.awt.image.BufferedImage)
,
REnvironment.plot(String, double, double)
public static void plotScores(AbstractScoreBasedClassifier cl, DataSet class0, DataSet class1, REnvironment e, int bins, double density, String plotOptions, String fName) throws Exception
cl
- the classifierclass0
- the sample for class 0class1
- the sample for class 1e
- the R environmentbins
- the number of bins in the plotdensity
- the density of shadingplotOptions
- further plot options, e.g.
xlim=c(-20,20), xlab="score"
, if
null
the default plotting options are chosenfName
- the file name
Exception
- if something went wrongREnvironment.plotToPDF(String, double, double, String, boolean)
public static ImageResult getScatterplot(AbstractScoreBasedClassifier cl1, AbstractScoreBasedClassifier cl2, DataSet class0, DataSet class1, REnvironment e, boolean drawThreshold) throws Exception
ImageResult
containing a scatter plot of
the scores for the given classifiers cl1
and
cl2
.
cl1
- the first classifiercl2
- the second classifierclass0
- the sample for class 0class1
- the sample for class 1e
- an R environmentdrawThreshold
- indicates whether to draw the classification threshold or not
Exception
- if something went wrongImageResult.ImageResult(String, String,
java.awt.image.BufferedImage)
,
REnvironment.plot(String, double, double)
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