Uses of Class
gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix

Packages that use DefaultBinaryConfusionMatrix

Package	Description
gov.sandia.cognition.learning.performance.categorization	Provides performance measures for categorizers.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of DefaultBinaryConfusionMatrix in gov.sandia.cognition.learning.performance.categorization

Methods in gov.sandia.cognition.learning.performance.categorization that return DefaultBinaryConfusionMatrix

Modifier and Type	Method and Description
static <CategoryType> DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.binarizeOnTrueCategory(ConfusionMatrix<CategoryType> matrix, CategoryType trueCategory) Takes a general confusion matrix and creates a binary form of it using true category.
static <CategoryType> DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.binarizeOnTrueSet(ConfusionMatrix<CategoryType> matrix, java.util.Set<? super CategoryType> trueSet) Takes a general confusion matrix and creates a binary form of it using the given set of true categories.
DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.clone()
static DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.create(java.lang.Iterable<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> input) Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.create(java.lang.Iterable<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> input, boolean weightIfAvailable) Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.createFromActualPredictedPairs(java.util.Collection<? extends Pair<? extends java.lang.Boolean,? extends java.lang.Boolean>> pairs) Creates a new DefaultConfusionMatrix from the given actual-predicted pairs.
DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.PerformanceEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> data)
DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.CombineSummarizer.summarize(java.util.Collection<? extends ConfusionMatrix<java.lang.Boolean>> data)
DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.ActualPredictedPairSummarizer.summarize(java.util.Collection<? extends Pair<? extends java.lang.Boolean,? extends java.lang.Boolean>> data)

Method parameters in gov.sandia.cognition.learning.performance.categorization with type arguments of type DefaultBinaryConfusionMatrix

Modifier and Type	Method and Description
static DefaultBinaryConfusionMatrixConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.compute(java.util.Collection<? extends DefaultBinaryConfusionMatrix> data, double confidence) Computes the ConfidenceIntervals for the given Collection of ConfusionMatrices
DefaultBinaryConfusionMatrixConfidenceInterval	DefaultBinaryConfusionMatrixConfidenceInterval.Summary.summarize(java.util.Collection<? extends DefaultBinaryConfusionMatrix> data)

Uses of DefaultBinaryConfusionMatrix in gov.sandia.cognition.statistics.method

Methods in gov.sandia.cognition.statistics.method that return DefaultBinaryConfusionMatrix

Modifier and Type	Method and Description
DefaultBinaryConfusionMatrix	ReceiverOperatingCharacteristic.DataPoint.getConfusionMatrix() Getter for confusionMatrix

Methods in gov.sandia.cognition.statistics.method with parameters of type DefaultBinaryConfusionMatrix

Modifier and Type	Method and Description
protected void	ReceiverOperatingCharacteristic.DataPoint.setConfusionMatrix(DefaultBinaryConfusionMatrix confusionMatrix) Setter for confusionMatrix

Constructors in gov.sandia.cognition.statistics.method with parameters of type DefaultBinaryConfusionMatrix

Constructor and Description
DataPoint(ScalarThresholdBinaryCategorizer classifier, DefaultBinaryConfusionMatrix confusionMatrix) Creates a new instance of DataPoint