Package org.deidentifier.arx.aggregates

Klasse ClassificationConfigurationNaiveBayes

java.lang.Object

org.deidentifier.arx.ARXClassificationConfiguration<ClassificationConfigurationNaiveBayes>

org.deidentifier.arx.aggregates.ClassificationConfigurationNaiveBayes

Alle implementierten Schnittstellen:

Serializable, Cloneable

public class ClassificationConfigurationNaiveBayes
extends ARXClassificationConfiguration<ClassificationConfigurationNaiveBayes>
implements Serializable, Cloneable

Configuration for naive bayes classification

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

Verschachtelte Klassen

Modifizierer und Typ	Klasse	Beschreibung
static enum	ClassificationConfigurationNaiveBayes.Type	Type of bayes classifier

Feldübersicht

Felder

Modifizierer und Typ	Feld	Beschreibung
static final double	DEFAULT_SIGMA	Default value
static final ClassificationConfigurationNaiveBayes.Type	DEFAULT_TYPE	Default value

Von Klasse geerbte Felder org.deidentifier.arx.ARXClassificationConfiguration

DEFAULT_DETERMINISTIC, DEFAULT_MAX_RECORDS, DEFAULT_NUMBER_OF_FOLDS, DEFAULT_VECTOR_LENGTH

Konstruktorübersicht

Konstruktoren

Modifizierer	Konstruktor	Beschreibung
protected	ClassificationConfigurationNaiveBayes(boolean deterministic, int maxRecords, int numberOfFolds, long seed, int vectorLength, ClassificationConfigurationNaiveBayes.Type type, double sigma)	Clone constructor

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
ClassificationConfigurationNaiveBayes	clone()
static ClassificationConfigurationNaiveBayes	create()	Returns a new instance
double	getSigma()	Gets the prior count of add-k smoothing of evidence.
ClassificationConfigurationNaiveBayes.Type	getType()	Type
void	parse(ARXClassificationConfiguration<?> config)	Parses another configuration
ClassificationConfigurationNaiveBayes	setSigma(double sigma)	Sets the prior count of add-k smoothing of evidence.
ClassificationConfigurationNaiveBayes	setType(ClassificationConfigurationNaiveBayes.Type type)	Type

Von Klasse geerbte Methoden org.deidentifier.arx.ARXClassificationConfiguration

createLogisticRegression, createNaiveBayes, createRandomForest, getMaxRecords, getNumFolds, getSeed, getVectorLength, isDeterministic, isModified, setDeterministic, setMaxRecords, setModified, setNumFolds, setSeed, setUnmodified, setVectorLength

Von Klasse geerbte Methoden java.lang.Object

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

Felddetails

DEFAULT_TYPE

public static final ClassificationConfigurationNaiveBayes.Type DEFAULT_TYPE

Default value

DEFAULT_SIGMA

public static final double DEFAULT_SIGMA

Default value

Siehe auch:

• Konstantenfeldwerte

Konstruktordetails

ClassificationConfigurationNaiveBayes

protected ClassificationConfigurationNaiveBayes(boolean deterministic,
 int maxRecords,
 int numberOfFolds,
 long seed,
 int vectorLength,
 ClassificationConfigurationNaiveBayes.Type type,
 double sigma)

Clone constructor

Parameter:

deterministic -

maxRecords -

numberOfFolds -

seed -

vectorLength -

type -

sigma -

Methodendetails

create

public static ClassificationConfigurationNaiveBayes create()

Returns a new instance

Gibt zurück:

clone

public ClassificationConfigurationNaiveBayes clone()

Angegeben von:

clone in Klasse ARXClassificationConfiguration<ClassificationConfigurationNaiveBayes>

getSigma

public double getSigma()

Gets the prior count of add-k smoothing of evidence.

Gibt zurück:

the sigma

getType

public ClassificationConfigurationNaiveBayes.Type getType()

Type

Gibt zurück:

the type

parse

public void parse(ARXClassificationConfiguration<?> config)

Beschreibung aus Klasse kopiert: ARXClassificationConfiguration

Parses another configuration

Setzt außer Kraft:

parse in Klasse ARXClassificationConfiguration<ClassificationConfigurationNaiveBayes>

Parameter:

config -

setSigma

public ClassificationConfigurationNaiveBayes setSigma(double sigma)

Sets the prior count of add-k smoothing of evidence.

Parameter:

sigma - the sigma to set

setType

public ClassificationConfigurationNaiveBayes setType(ClassificationConfigurationNaiveBayes.Type type)

Type

Parameter:

type - the type to set