edu.umd.cs.psl.evaluation.resultui

Class UIFullConfidenceAnalysisResult

java.lang.Object

edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

All Implemented Interfaces:

FullConfidenceAnalysisResult, InferenceResult

public class UIFullConfidenceAnalysisResult
extends Object
implements FullConfidenceAnalysisResult

Constructor Summary

Constructors

Constructor and Description
UIFullConfidenceAnalysisResult(FullConfidenceAnalysisResult stats)

Method Summary

Methods

Modifier and Type	Method and Description
double	averageKLdivergence(Predicate p, int noBins, FullConfidenceAnalysisResult other)
String	drawDistribution(AtomFunctionVariable atomvar, int noBins, int height)
String	drawDistributions(Predicate p, int noBins, int height)
Map<AtomFunctionVariable,de.mathnbits.statistics.DoubleDist>	getDistribution()
double[]	getHistogram(AtomFunctionVariable atomvar, int noBins)
String	histogramString(AtomFunctionVariable atomvar, int noBins, int noDigits)
String	histogramStrings(Predicate p, int noBins)
double	KLdivergence(AtomFunctionVariable atomvar, int noBins, FullConfidenceAnalysisResult other)
void	printAtoms(Predicate p)
void	printAtoms(Predicate p, double threshold)
void	printDistributions(Predicate p)
void	printHistograms(Predicate p)
String	toString(Predicate p)
String	toString(Predicate p, double meanThreshold)

Methods inherited from class java.lang.Object

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

Constructor Detail

UIFullConfidenceAnalysisResult

public UIFullConfidenceAnalysisResult(FullConfidenceAnalysisResult stats)

Method Detail

KLdivergence

public double KLdivergence(AtomFunctionVariable atomvar,
                  int noBins,
                  FullConfidenceAnalysisResult other)

Specified by:

KLdivergence in interface FullConfidenceAnalysisResult

averageKLdivergence

public double averageKLdivergence(Predicate p,
                         int noBins,
                         FullConfidenceAnalysisResult other)

Specified by:

averageKLdivergence in interface FullConfidenceAnalysisResult

getDistribution

public Map<AtomFunctionVariable,de.mathnbits.statistics.DoubleDist> getDistribution()

Specified by:

getDistribution in interface FullConfidenceAnalysisResult

getHistogram

public double[] getHistogram(AtomFunctionVariable atomvar,
                    int noBins)

Specified by:

getHistogram in interface FullConfidenceAnalysisResult

toString

public String toString(Predicate p,
              double meanThreshold)

drawDistribution

public String drawDistribution(AtomFunctionVariable atomvar,
                      int noBins,
                      int height)

drawDistributions

public String drawDistributions(Predicate p,
                       int noBins,
                       int height)

printDistributions

public void printDistributions(Predicate p)

histogramString

public String histogramString(AtomFunctionVariable atomvar,
                     int noBins,
                     int noDigits)

histogramStrings

public String histogramStrings(Predicate p,
                      int noBins)

printHistograms

public void printHistograms(Predicate p)

toString

public String toString(Predicate p)

printAtoms

public void printAtoms(Predicate p)

printAtoms

public void printAtoms(Predicate p,
              double threshold)