Package gov.sandia.cognition.learning.performance.categorization

Provides performance measures for categorizers.

See:
          Description

Interface Summary
BinaryConfusionMatrix An interface for a binary confusion matrix.
ConfusionMatrix<CategoryType> An interface for a general confusion matrix, which is used to tabulate a set of actual category values against the values predicted for those categories.
 

Class Summary
AbstractBinaryConfusionMatrix An abstract implementation of the BinaryConfusionMatrix interface.
AbstractConfusionMatrix<CategoryType> An abstract implementation of the ConfusionMatrix interface.
ConfusionMatrixPerformanceEvaluator<InputType,CategoryType> A performance evaluator that builds a confusion matrix.
DefaultBinaryConfusionMatrix A default implementation of the BinaryConfusionMatrix.
DefaultBinaryConfusionMatrix.ActualPredictedPairSummarizer A confusion matrix summarizer that summarizes actual-predicted pairs.
DefaultBinaryConfusionMatrix.CombineSummarizer A confusion matrix summarizer that adds together confusion matrices.
DefaultBinaryConfusionMatrix.PerformanceEvaluator<InputType> An implementation of the SupervisedPerformanceEvaluator interface for creating a DefaultBinaryConfusionMatrix.
DefaultBinaryConfusionMatrixConfidenceInterval Puts Student-t ConfidenceIntervals on each entry of the ConfusionMatrix
DefaultBinaryConfusionMatrixConfidenceInterval.Summary An implementation of the Summarizer interface for creating a ConfusionMatrixInterval
DefaultConfusionMatrix<CategoryType> A default implementation of the ConfusionMatrix interface.
DefaultConfusionMatrix.ActualPredictedPairSummarizer<CategoryType> A confusion matrix summarizer that summarizes actual-predicted pairs.
DefaultConfusionMatrix.CombineSummarizer<CategoryType> A confusion matrix summarizer that adds together confusion matrices.
DefaultConfusionMatrix.Factory<CategoryType> A factory for default confusion matrices.
 

Package gov.sandia.cognition.learning.performance.categorization Description

Provides performance measures for categorizers.

Since:
3.1
Author:
Justin Basilico