Package se.hb.jcp.nc

Class SVMDistanceNonconformityFunction

java.lang.Object

se.hb.jcp.nc.ClassifierNonconformityFunctionBase

se.hb.jcp.nc.SVMDistanceNonconformityFunction

All Implemented Interfaces:

java.io.Serializable, IClassifierInformation, IClassificationNonconformityFunction

public class SVMDistanceNonconformityFunction
extends ClassifierNonconformityFunctionBase
implements java.io.Serializable

This class implements a nonconformity function based on the signed distance from the separating hyperplane of a two-class SVM classifier. See e.g. [Toccaceli, Nouretdinov, Gammerman, "Conformal Predictors for Compound Activity Prediction", https://arxiv.org/pdf/1603.04506.pdf, 2016].

Author:

anders.gidenstam(at)hb.se

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
SVMDistanceNonconformityFunction(double[] classes)
SVMDistanceNonconformityFunction(double[] classes, ISVMClassifier classifier)

Method Summary

Modifier and Type	Method	Description
double	calculateNonConformityScore(cern.colt.matrix.DoubleMatrix1D x, double y)	Computes the non-conformity score for the instance x with the target y.
IClassificationNonconformityFunction	fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Returns a new non-conformity function based on the same parameters as the current one initialized with the supplied data.

Methods inherited from class se.hb.jcp.nc.ClassifierNonconformityFunctionBase

calc_nc, calc_nc, fit, fitNew, getAttributeCount, getClassifier, getLabels, isTrained, nativeStorageTemplate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SVMDistanceNonconformityFunction

public SVMDistanceNonconformityFunction(double[] classes)

SVMDistanceNonconformityFunction

public SVMDistanceNonconformityFunction(double[] classes,
                                        ISVMClassifier classifier)

Method Detail

fitNew

public IClassificationNonconformityFunction fitNew(cern.colt.matrix.DoubleMatrix2D x,
                                                   double[] y)

Description copied from interface: IClassificationNonconformityFunction

Returns a new non-conformity function based on the same parameters as the current one initialized with the supplied data.

Specified by:

fitNew in interface IClassificationNonconformityFunction

Specified by:

fitNew in class ClassifierNonconformityFunctionBase

Parameters:

x - the instances.

y - the targets or classes of the instances.

Returns:

a new non-conformity function.

calculateNonConformityScore

public double calculateNonConformityScore(cern.colt.matrix.DoubleMatrix1D x,
                                          double y)

Description copied from interface: IClassificationNonconformityFunction

Computes the non-conformity score for the instance x with the target y.

Specified by:

calculateNonConformityScore in interface IClassificationNonconformityFunction

Specified by:

calculateNonConformityScore in class ClassifierNonconformityFunctionBase

Parameters:

x - the instance.

y - the target/class/label.

Returns:

the non-conformity score. Large means less conforming.