Package se.hb.jcp.cp

Interface IConformalClassifier

All Superinterfaces:

IClassifierInformation, java.io.Serializable

All Known Implementing Classes:

ConformalMultiProbabilisticClassifier, InductiveConformalClassifier, TransductiveConformalClassifier

public interface IConformalClassifier
extends IClassifierInformation, java.io.Serializable

Represents an instance of a specific conformal classification algorithm. Contract for JCP use: 1. The ConformalClassifier must be serializable, both as untrained and as trained. 2. The predict* methods must be reentrant.

Method Summary

Modifier and Type	Method	Description
IClassificationNonconformityFunction	getNonconformityFunction()	Returns the associated nonconformity function.
ConformalClassification	predict(cern.colt.matrix.DoubleMatrix1D x)	Makes a prediction for the instance x.
ConformalClassification[]	predict(cern.colt.matrix.DoubleMatrix2D x)	Makes a prediction for each instance in x.
cern.colt.matrix.DoubleMatrix1D	predictPValues(cern.colt.matrix.DoubleMatrix1D x)	Computes the predicted p-values for the instance x.
void	predictPValues(cern.colt.matrix.DoubleMatrix1D x, cern.colt.matrix.DoubleMatrix1D pValues)	Computes the predicted p-values for the instance x.
cern.colt.matrix.DoubleMatrix2D	predictPValues(cern.colt.matrix.DoubleMatrix2D x)	Computes the predicted p-values for each target and instance in x.

Methods inherited from interface se.hb.jcp.ml.IClassifierInformation

getAttributeCount, getLabels, isTrained, nativeStorageTemplate

Method Detail

predict

ConformalClassification[] predict(cern.colt.matrix.DoubleMatrix2D x)

Makes a prediction for each instance in x. The method is parallellized over the instances.

Parameters:

x - the instances.

Returns:

an array containing a ConformalClassification for each instance.

predict

ConformalClassification predict(cern.colt.matrix.DoubleMatrix1D x)

Makes a prediction for the instance x.

Parameters:

x - the instance.

Returns:

a prediction in the form of a ConformalClassification.

predictPValues

cern.colt.matrix.DoubleMatrix2D predictPValues(cern.colt.matrix.DoubleMatrix2D x)

Computes the predicted p-values for each target and instance in x. The method is parallellized over the instances.

Parameters:

x - the instances.

Returns:

an DoubleMatrix2D containing the predicted p-values for each instance.

predictPValues

cern.colt.matrix.DoubleMatrix1D predictPValues(cern.colt.matrix.DoubleMatrix1D x)

Computes the predicted p-values for the instance x.

Parameters:

x - the instance.

Returns:

an DoubleMatrix1D containing the predicted p-values.

predictPValues

void predictPValues(cern.colt.matrix.DoubleMatrix1D x,
                    cern.colt.matrix.DoubleMatrix1D pValues)

Computes the predicted p-values for the instance x.

Parameters:

x - the instance.

pValues - an initialized DoubleMatrix1D to store the p-values.

getNonconformityFunction

IClassificationNonconformityFunction getNonconformityFunction()

Returns the associated nonconformity function.

Returns:

the associated IClassificationNonconformityFunction.