de.jstacs.classifiers.utils

Class ClassificationVisualizer

java.lang.Object

de.jstacs.classifiers.utils.ClassificationVisualizer

public class ClassificationVisualizer
extends Object

This class enables you to visualize some classifier results.

Author:

Jens Keilwagen

Method Summary

Modifier and Type	Method and Description
static ImageResult	getFancyScatterplot(AbstractScoreBasedClassifier cl1, AbstractScoreBasedClassifier cl2, REnvironment e, DataSet... data) Scatters the classification scores of two binary classifiers for given data.
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

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

Method Detail

plotScores

public static ImageResult plotScores(AbstractScoreBasedClassifier cl,
                                     DataSet class0,
                                     DataSet class1,
                                     REnvironment e,
                                     int bins,
                                     double density,
                                     String plotOptions)
                              throws Exception

This method returns an ImageResult containing a plot of the histograms of the scores. Further plotting options can be used to make such results comparable.

Parameters:

cl - the classifier

class0 - the sample for class 0

class1 - the sample for class 1

e - the R environment

bins - the number of bins in the plot

density - the density of shading

plotOptions - further plot options, e.g. xlim=c(-20,20), xlab="score", if null the default plotting options are chosen

Returns:

the plot of the histograms

Throws:

Exception - if something went wrong

See Also:

ImageResult.ImageResult(String, String, java.awt.image.BufferedImage), REnvironment.plot(CharSequence, double, double)

plotScores

public static void plotScores(AbstractScoreBasedClassifier cl,
                              DataSet class0,
                              DataSet class1,
                              REnvironment e,
                              int bins,
                              double density,
                              String plotOptions,
                              String fName)
                       throws Exception

This method creates a pdf containing a plot of the histograms of the scores. Further plotting options can be used to make such results comparable.

Parameters:

cl - the classifier

class0 - the sample for class 0

class1 - the sample for class 1

e - the R environment

bins - the number of bins in the plot

density - the density of shading

plotOptions - further plot options, e.g. xlim=c(-20,20), xlab="score", if null the default plotting options are chosen

fName - the file name

Throws:

Exception - if something went wrong

See Also:

REnvironment.plotToPDF(CharSequence, double, double, String, boolean)

getScatterplot

public static ImageResult getScatterplot(AbstractScoreBasedClassifier cl1,
                                         AbstractScoreBasedClassifier cl2,
                                         DataSet class0,
                                         DataSet class1,
                                         REnvironment e,
                                         boolean drawThreshold)
                                  throws Exception

This method returns an ImageResult containing a scatter plot of the scores for the given classifiers cl1 and cl2.

Parameters:

cl1 - the first classifier

cl2 - the second classifier

class0 - the sample for class 0

class1 - the sample for class 1

e - an R environment

drawThreshold - indicates whether to draw the classification threshold or not

Returns:

the scatter plot of the scores

Throws:

Exception - if something went wrong

See Also:

ImageResult.ImageResult(String, String, java.awt.image.BufferedImage), REnvironment.plot(CharSequence, double, double)

getFancyScatterplot

public static ImageResult getFancyScatterplot(AbstractScoreBasedClassifier cl1,
                                              AbstractScoreBasedClassifier cl2,
                                              REnvironment e,
                                              DataSet... data)
                                       throws Exception

Scatters the classification scores of two binary classifiers for given data.

Parameters:

cl1 - the first classifier

cl2 - the second classifier

e - the REnvironment

data - the data

Returns:

a scatter plot of the classification scores of two classifiers for given data

Throws:

Exception - if the classifiers are not binary, the scores cannot be computed correctly or some problems occur in the communication with the REnvironment