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

Packages that use DefaultBinaryConfusionMatrix
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
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, 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(Iterable<? extends TargetEstimatePair<? extends Boolean,? extends Boolean>> input)
          Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static DefaultBinaryConfusionMatrix DefaultBinaryConfusionMatrix.create(Iterable<? extends TargetEstimatePair<? extends Boolean,? extends Boolean>> input, boolean weightIfAvailable)
          Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static DefaultBinaryConfusionMatrix DefaultBinaryConfusionMatrix.createFromActualPredictedPairs(Collection<? extends Pair<? extends Boolean,? extends Boolean>> pairs)
          Creates a new DefaultConfusionMatrix from the given actual-predicted pairs.
 DefaultBinaryConfusionMatrix DefaultBinaryConfusionMatrix.PerformanceEvaluator.evaluatePerformance(Collection<? extends TargetEstimatePair<? extends Boolean,? extends Boolean>> data)
           
 DefaultBinaryConfusionMatrix DefaultBinaryConfusionMatrix.CombineSummarizer.summarize(Collection<? extends ConfusionMatrix<Boolean>> data)
           
 DefaultBinaryConfusionMatrix DefaultBinaryConfusionMatrix.ActualPredictedPairSummarizer.summarize(Collection<? extends Pair<? extends Boolean,? extends Boolean>> data)
           
 

Method parameters in gov.sandia.cognition.learning.performance.categorization with type arguments of type DefaultBinaryConfusionMatrix
static DefaultBinaryConfusionMatrixConfidenceInterval DefaultBinaryConfusionMatrixConfidenceInterval.compute(Collection<? extends DefaultBinaryConfusionMatrix> data, double confidence)
          Computes the ConfidenceIntervals for the given Collection of ConfusionMatrices
 DefaultBinaryConfusionMatrixConfidenceInterval DefaultBinaryConfusionMatrixConfidenceInterval.Summary.summarize(Collection<? extends DefaultBinaryConfusionMatrix> data)
           
 

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

Methods in gov.sandia.cognition.statistics.method that return DefaultBinaryConfusionMatrix
 DefaultBinaryConfusionMatrix ReceiverOperatingCharacteristic.DataPoint.getConfusionMatrix()
          Getter for confusionMatrix
 

Methods in gov.sandia.cognition.statistics.method with parameters of type DefaultBinaryConfusionMatrix
protected  void ReceiverOperatingCharacteristic.DataPoint.setConfusionMatrix(DefaultBinaryConfusionMatrix confusionMatrix)
          Setter for confusionMatrix
 

Constructors in gov.sandia.cognition.statistics.method with parameters of type DefaultBinaryConfusionMatrix
ReceiverOperatingCharacteristic.DataPoint(ScalarThresholdBinaryCategorizer classifier, DefaultBinaryConfusionMatrix confusionMatrix)
          Creates a new instance of DataPoint