Package se.hb.jcp.nc

Class ClassifierNonconformityFunctionBase

java.lang.Object

se.hb.jcp.nc.ClassifierNonconformityFunctionBase

All Implemented Interfaces:

java.io.Serializable, IClassifierInformation, IClassificationNonconformityFunction

Direct Known Subclasses:

ClassProbabilityNonconformityFunctionBase, kNearestSameClassNeighbourNonconformityFunction, SVMDistanceNonconformityFunction

public abstract class ClassifierNonconformityFunctionBase
extends java.lang.Object
implements IClassificationNonconformityFunction, java.io.Serializable

Base class for nonconformity functions that use a classifier.

Author:

anders.gidenstam(at)hb.se

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
ClassifierNonconformityFunctionBase(double[] classes, IClassifier classifier)

Method Summary

Modifier and Type	Method	Description
double[]	calc_nc(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Deprecated.
double[]	calc_nc(cern.colt.matrix.DoubleMatrix2D xtr, double[] ytr, cern.colt.matrix.DoubleMatrix1D xtest, double ytest)
abstract double	calculateNonConformityScore(cern.colt.matrix.DoubleMatrix1D x, double y)	Computes the non-conformity score for the instance x with the target y.
void	fit(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Initializes this non-conformity function with the supplied data.
abstract 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.
IClassificationNonconformityFunction	fitNew(cern.colt.matrix.DoubleMatrix2D xtr, double[] ytr, cern.colt.matrix.DoubleMatrix1D xtest, double ytest)	Returns a new non-conformity function based on the same parameters as the current one initialized with the supplied data.
int	getAttributeCount()	Returns the number of attributes the classifier has been trained on.
IClassifier	getClassifier()	Returns the classifier used by this non-conformity function.
java.lang.Double[]	getLabels()	Returns the set of class labels the classifier has been trained on.
boolean	isTrained()	Returns whether this classifier has been trained.
cern.colt.matrix.DoubleMatrix1D	nativeStorageTemplate()	Returns a value of the DoubleMatrix1D derived class that is the native storage format for the classifier.

Methods inherited from class java.lang.Object

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

Constructor Detail

ClassifierNonconformityFunctionBase

public ClassifierNonconformityFunctionBase(double[] classes,
                                           IClassifier classifier)

Method Detail

fit

public void fit(cern.colt.matrix.DoubleMatrix2D x,
                double[] y)

Description copied from interface: IClassificationNonconformityFunction

Initializes this non-conformity function with the supplied data.

Specified by:

fit in interface IClassificationNonconformityFunction

Parameters:

x - the instances.

y - the targets/classes/labels of the instances.

fitNew

public abstract 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

Parameters:

x - the instances.

y - the targets or classes of the instances.

Returns:

a new non-conformity function.

fitNew

public IClassificationNonconformityFunction fitNew(cern.colt.matrix.DoubleMatrix2D xtr,
                                                   double[] ytr,
                                                   cern.colt.matrix.DoubleMatrix1D xtest,
                                                   double ytest)

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

Parameters:

xtr - the training instances.

ytr - the training targets or classes of the instances.

xtest - the test instances.

ytest - the test targets/classes/labels of the instances.

Returns:

a new non-conformity function.

calculateNonConformityScore

public abstract 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

Parameters:

x - the instance.

y - the target/class/label.

Returns:

the non-conformity score. Large means less conforming.

calc_nc

@Deprecated
public double[] calc_nc(cern.colt.matrix.DoubleMatrix2D x,
                        double[] y)

Deprecated.

Specified by:

calc_nc in interface IClassificationNonconformityFunction

calc_nc

public double[] calc_nc(cern.colt.matrix.DoubleMatrix2D xtr,
                        double[] ytr,
                        cern.colt.matrix.DoubleMatrix1D xtest,
                        double ytest)

Specified by:

calc_nc in interface IClassificationNonconformityFunction

getClassifier

public IClassifier getClassifier()

Description copied from interface: IClassificationNonconformityFunction

Returns the classifier used by this non-conformity function.

Specified by:

getClassifier in interface IClassificationNonconformityFunction

Returns:

the classifier used by this non-conformity function; or null if there isn't one.

isTrained

public final boolean isTrained()

Description copied from interface: IClassifierInformation

Returns whether this classifier has been trained.

Specified by:

isTrained in interface IClassifierInformation

Returns:

Returns true if the classifier has been trained or false otherwise.

getAttributeCount

public final int getAttributeCount()

Description copied from interface: IClassifierInformation

Returns the number of attributes the classifier has been trained on.

Specified by:

getAttributeCount in interface IClassifierInformation

Returns:

Returns the number of attributes the classifier has been trained on or -1 if the classifier has not been trained.

getLabels

public final java.lang.Double[] getLabels()

Description copied from interface: IClassifierInformation

Returns the set of class labels the classifier has been trained on.

Specified by:

getLabels in interface IClassifierInformation

Returns:

Returns the class labels the classifier has been trained on in increasing order (the index is the class id) or null if the classifier has not been trained.

nativeStorageTemplate

public cern.colt.matrix.DoubleMatrix1D nativeStorageTemplate()

Description copied from interface: IClassifierInformation

Returns a value of the DoubleMatrix1D derived class that is the native storage format for the classifier.

Specified by:

nativeStorageTemplate in interface IClassifierInformation

Returns:

a value of the DoubleMatrix1D derived class of the native storage format for the classifier.