Uses of Class
se.hb.jcp.cp.ConformalMultiProbabilisticClassification
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Packages that use ConformalMultiProbabilisticClassification Package Description se.hb.jcp.cp se.hb.jcp.cp.measures -
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Uses of ConformalMultiProbabilisticClassification in se.hb.jcp.cp
Methods in se.hb.jcp.cp that return ConformalMultiProbabilisticClassification Modifier and Type Method Description ConformalMultiProbabilisticClassificationConformalMultiProbabilisticClassifier. predict(cern.colt.matrix.DoubleMatrix1D x)Makes a prediction for the instance x.ConformalMultiProbabilisticClassification[]ConformalMultiProbabilisticClassifier. predict(cern.colt.matrix.DoubleMatrix2D x)Makes a prediction for each instance in x. -
Uses of ConformalMultiProbabilisticClassification in se.hb.jcp.cp.measures
Methods in se.hb.jcp.cp.measures with parameters of type ConformalMultiProbabilisticClassification Modifier and Type Method Description abstract doubleAbstractPriorMultiProbabilisticMeasure. compute(ConformalMultiProbabilisticClassification prediction)doubleIObservedProbabilisticMeasure. compute(ConformalMultiProbabilisticClassification prediction, double trueLabel)Compute the measure for the supplied conformal prediction and true label.doubleIPriorMultiProbabilisticMeasure. compute(ConformalMultiProbabilisticClassification prediction)Compute the measure for the supplied conformal prediction.doubleMultiProbabilisticLowerBound. compute(ConformalMultiProbabilisticClassification prediction)doubleMultiProbabilisticUpperBound. compute(ConformalMultiProbabilisticClassification prediction)doubleObservedProbabilityLogLoss. compute(ConformalMultiProbabilisticClassification prediction, double trueLabel)doubleObservedProbabilitySquareLoss. compute(ConformalMultiProbabilisticClassification prediction, double trueLabel)
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