Uses of Class
se.hb.jcp.cp.ConformalClassification

Packages that use ConformalClassification

Package	Description
se.hb.jcp.cli
se.hb.jcp.cp
se.hb.jcp.cp.measures

Uses of ConformalClassification in se.hb.jcp.cli

Methods in se.hb.jcp.cli with parameters of type ConformalClassification

Modifier and Type	Method	Description
static void	IOTools.writeAsJSON(ConformalClassification prediction, cern.colt.matrix.DoubleMatrix1D instance, double target, org.json.JSONWriter resultWriter)	Write a ConformalClassification including internal state as JSON to a JSON writer.
static void	IOTools.writeAsJSON(ConformalClassification prediction, org.json.JSONWriter resultWriter)	Write a ConformalClassification as JSON to a JSON writer.

Uses of ConformalClassification in se.hb.jcp.cp

Subclasses of ConformalClassification in se.hb.jcp.cp

Modifier and Type	Class	Description
class	ConformalMultiProbabilisticClassification	Represents a multi-probabilistic prediction made by a conformal classifier with bivariate isotonic regression.

Methods in se.hb.jcp.cp that return ConformalClassification

Modifier and Type	Method	Description
ConformalClassification	IConformalClassifier.predict(cern.colt.matrix.DoubleMatrix1D x)	Makes a prediction for the instance x.
ConformalClassification[]	IConformalClassifier.predict(cern.colt.matrix.DoubleMatrix2D x)	Makes a prediction for each instance in x.
ConformalClassification	InductiveConformalClassifier.predict(cern.colt.matrix.DoubleMatrix1D x)	Makes a prediction for the instance x.
ConformalClassification[]	InductiveConformalClassifier.predict(cern.colt.matrix.DoubleMatrix2D x)	Makes a prediction for each instance in x.
ConformalClassification	TransductiveConformalClassifier.predict(cern.colt.matrix.DoubleMatrix1D x)	Makes a prediction for the instance x.
ConformalClassification[]	TransductiveConformalClassifier.predict(cern.colt.matrix.DoubleMatrix2D x)	Makes a prediction for each instance in x.

Uses of ConformalClassification in se.hb.jcp.cp.measures

Methods in se.hb.jcp.cp.measures with parameters of type ConformalClassification

Modifier and Type	Method	Description
void	AggregatedObservedMeasure.add(ConformalClassification prediction, double trueLabel)	Adds the supplied conformal prediction to the aggregated measure.
void	AggregatedObservedMeasures.add(ConformalClassification prediction, double trueLabel)	Adds the supplied conformal prediction to the aggregated measures.
void	AggregatedPriorMeasure.add(ConformalClassification prediction)	Adds the supplied conformal prediction to the aggregated prior measure.
void	AggregatedPriorMeasures.add(ConformalClassification prediction)	Adds the supplied conformal prediction to the aggregated prior measures.
double	AbstractPriorMultiProbabilisticMeasure.compute(ConformalClassification prediction)
double	ExcessCriterion.compute(ConformalClassification prediction)	Computes the E/Excess criterion measure for this prediction.
double	FuzzinessCriterion.compute(ConformalClassification prediction)	Computes the F/Fuzziness criterion measure for this prediction.
double	IObservedMeasure.compute(ConformalClassification prediction, double trueLabel)	Compute the measure for the supplied conformal prediction and true label.
double	IPriorMeasure.compute(ConformalClassification prediction)	Compute the measure for the supplied conformal prediction.
double	MultipleCriterion.compute(ConformalClassification prediction)	Computes the M/Multiple criterion measure for this prediction.
double	NumberCriterion.compute(ConformalClassification prediction)	Computes the N/Number criterion measure for this prediction.
double	ObservedAccuracy.compute(ConformalClassification prediction, double trueLabel)	Computes the Observed Accuracy measure for this prediction and true label.
double	ObservedExcessCriterion.compute(ConformalClassification prediction, double trueLabel)	Computes the OE/Observed Excess criterion measure for this prediction and true label.
double	ObservedFuzzinessCriterion.compute(ConformalClassification prediction, double trueLabel)	Computes the OF/Observed Fuzziness criterion measure for this prediction and true label.
double	ObservedMultipleCriterion.compute(ConformalClassification prediction, double trueLabel)	Computes the OM/Observed Multiple criterion measure for this prediction and true label.
double	ObservedOneCCriterion.compute(ConformalClassification prediction, double trueLabel)	Computes the Observed OneC criterion measure for this prediction and true label.
double	ObservedProbabilityLogLoss.compute(ConformalClassification prediction, double trueLabel)
double	ObservedProbabilitySquareLoss.compute(ConformalClassification prediction, double trueLabel)
double	ObservedUnconfidenceCriterion.compute(ConformalClassification prediction, double trueLabel)	Computes the OU/Observed Unconfidence criterion measure for this prediction and true label.
double	OneCCriterion.compute(ConformalClassification prediction)	Computes the OneC criterion measure for this prediction.
double	SumCriterion.compute(ConformalClassification prediction)	Computes the Sum criterion measure for this prediction.
double	UnconfidenceCriterion.compute(ConformalClassification prediction)	Computes the U/Unconfidence criterion measure for this prediction.