Package de.uni_mannheim.informatik.dws.melt.matching_eval.visualization

Class MatcherSimilarityLatexPlotWriter

java.lang.Object

de.uni_mannheim.informatik.dws.melt.matching_eval.visualization.MatcherSimilarityLatexPlotWriter

public class MatcherSimilarityLatexPlotWriter
extends Object

This writer can persist MatcherSimilarity objects in a LaTex graph.

Constructor Summary

Constructors

Constructor	Description
MatcherSimilarityLatexPlotWriter()

Method Summary

Modifier and Type	Method	Description
private static double	mean(List<Double> numbers)	Helper function which calculates the mean.
private static double	meanAbsoluteDeviation(List<Double> numbers)	Helper function to calculate the Mean Absolute Deviation (MAD).
static void	write(ConfusionMatrixMetric cm, MatcherSimilarity similarityResultInstance, PrintWriter writer)	Persists a matcher similarity instance as LaTex graph.
static void	write(MatcherSimilarity similarityResultInstance, PrintWriter writer)	Persists a matcher similarity instance as LaTex graph from the perspective of one particular matcher.

Methods inherited from class java.lang.Object

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

Constructor Details

MatcherSimilarityLatexPlotWriter

public MatcherSimilarityLatexPlotWriter()

Method Details

write

public static void write(MatcherSimilarity similarityResultInstance,
 PrintWriter writer)

Persists a matcher similarity instance as LaTex graph from the perspective of one particular matcher.

Parameters:

similarityResultInstance - Similarity instance that shall be persisted.

writer - The writer that shall be used to persist the results.

write

public static void write(ConfusionMatrixMetric cm,
 MatcherSimilarity similarityResultInstance,
 PrintWriter writer)

Persists a matcher similarity instance as LaTex graph. Writes two graphs: 1) The x axis is the mean absolute deviation and the y axis is the F measure. 2) The distances between the matchers are transformed into coordinates and plotted.

Parameters:

cm - You can use this parameter to use a previously calculated confusion matrix in order to save execution time..

similarityResultInstance - Similarity instance that shall be persisted.

writer - The writer that shall be used to persist the results.

mean

private static double mean(List<Double> numbers)

Helper function which calculates the mean.

Parameters:

numbers - Numbers for which the mean shall be calculated.

Returns:

Mean as double.

meanAbsoluteDeviation

private static double meanAbsoluteDeviation(List<Double> numbers)

Helper function to calculate the Mean Absolute Deviation (MAD).

Parameters:

numbers - The numbers for which the MAD shall be calculated.

Returns:

MAD as double