de.jstacs.classifiers.performanceMeasures

Interface NumericalPerformanceMeasure

All Superinterfaces:

PerformanceMeasure

All Known Implementing Classes:

AbstractNumericalTwoClassPerformanceMeasure, AucPR, AucROC, ClassificationRate, CorrelationCoefficient, FalsePositiveRateForFixedSensitivity, MaximumCorrelationCoefficient, MaximumFMeasure, MaximumNumericalTwoClassMeasure, PositivePredictiveValueForFixedSensitivity, SensitivityForFixedSpecificity

public interface NumericalPerformanceMeasure
extends PerformanceMeasure

This interface indicates that a Performance measure returns numerical results. Any class that implements this interface should be an extension of AbstractPerformanceMeasure.

Author:

Jan Grau, Jens Keilwagen

See Also:

NumericalResultSet, NumericalResult

Method Summary

Modifier and Type	Method and Description
NumericalResultSet	compute(double[][][] classSpecificScores) This method allows to compute the performance measure of given class specific scores.
NumericalResultSet	compute(double[][][] classSpecificScores, double[][] weights) This method allows to compute the performance measure of given class specific scores.
NumericalResultSet	compute(double[] sortedScoresClass0, double[] sortedScoresClass1) This method allows to compute the performance measure of given sorted score ratios.
NumericalResultSet	compute(double[] sortedScoresClass0, double[] weightsClass0, double[] sortedScoresClass1, double[] weightsClass1) This method allows to compute the performance measure of given sorted score ratios.

Methods inherited from interface de.jstacs.classifiers.performanceMeasures.PerformanceMeasure

getAllowedNumberOfClasses, getName

Method Detail

compute

NumericalResultSet compute(double[] sortedScoresClass0,
                           double[] sortedScoresClass1)

This method allows to compute the performance measure of given sorted score ratios. This method can only be used for binary classifiers.

Specified by:

compute in interface PerformanceMeasure

Parameters:

sortedScoresClass0 - the sorted score ratios of class 0

sortedScoresClass1 - the sorted score ratios of class 1

Returns:

a result set containing the results of the performance measure

See Also:

compute(double[], double[], double[], double[])

compute

NumericalResultSet compute(double[][][] classSpecificScores)

This method allows to compute the performance measure of given class specific scores.

Specified by:

compute in interface PerformanceMeasure

Parameters:

classSpecificScores - the scores; first dimension = data sets, second dimension = sequences of the data set, third dimension classes of the classifier

Returns:

a result set containing the results of the performance measure

See Also:

compute(double[][][], double[][])

compute

NumericalResultSet compute(double[] sortedScoresClass0,
                           double[] weightsClass0,
                           double[] sortedScoresClass1,
                           double[] weightsClass1)

This method allows to compute the performance measure of given sorted score ratios. This method can only be used for binary classifiers.

Specified by:

compute in interface PerformanceMeasure

Parameters:

sortedScoresClass0 - the sorted score ratios of class 0

weightsClass0 - the weights of the sequences of class 0 sorted along with the scores sortedScoresClass0

sortedScoresClass1 - the sorted score ratios of class 1

weightsClass1 - the weights of the sequences of class 1 sorted along with the scores sortedScoresClass1

Returns:

a result set containing the results of the performance measure

See Also:

ToolBox.sortAlongWith(double[], double[][])

compute

NumericalResultSet compute(double[][][] classSpecificScores,
                           double[][] weights)

This method allows to compute the performance measure of given class specific scores.

Specified by:

compute in interface PerformanceMeasure

Parameters:

classSpecificScores - the scores; first dimension = data sets, second dimension = sequences of the data set, third dimension classes of the classifier

weights - the weights for all sequence in all data sets

Returns:

a result set containing the results of the performance measure