Package org.deidentifier.arx.aggregates

Klasse ClassificationConfigurationLogisticRegression

java.lang.Object

org.deidentifier.arx.ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression

Alle implementierten Schnittstellen:

Serializable, Cloneable

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

Configuration for logistic regression

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

Verschachtelte Klassen

Modifizierer und Typ	Klasse	Beschreibung
static enum	ClassificationConfigurationLogisticRegression.PriorFunction	Prior function for regularization

Feldübersicht

Felder

Modifizierer und Typ	Feld	Beschreibung
static final double	DEFAULT_ALPHA	Default value
static final double	DEFAULT_DECAY_EXPONENT	Default value
static final double	DEFAULT_LAMBDA	Default value
static final double	DEFAULT_LEARNING_RATE	Default value
static final ClassificationConfigurationLogisticRegression.PriorFunction	DEFAULT_PRIOR	Default value
static final int	DEFAULT_STEP_OFFSET	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	ClassificationConfigurationLogisticRegression(double alpha, double decayExponent, double lambda, double learningRate, int stepOffset, int vectorLength, int maxRecords, int seed, int numberOfFolds, boolean deterministic, ClassificationConfigurationLogisticRegression.PriorFunction prior)	Clone constructor

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
ClassificationConfigurationLogisticRegression	clone()
static ClassificationConfigurationLogisticRegression	create()	Returns a new instance
double	getAlpha()
double	getDecayExponent()
double	getLambda()
double	getLearningRate()
int	getMaxRecords()
int	getNumFolds()
ClassificationConfigurationLogisticRegression.PriorFunction	getPriorFunction()
long	getSeed()
int	getStepOffset()
int	getVectorLength()
boolean	isDeterministic()	Returns whether the process should be deterministic
void	parse(ARXClassificationConfiguration<?> config)	Parses another configuration
ClassificationConfigurationLogisticRegression	setAlpha(double alpha)
ClassificationConfigurationLogisticRegression	setDecayExponent(double decayExponent)
ClassificationConfigurationLogisticRegression	setDeterministic(boolean deterministic)	Sets whether the process should be deterministic
ClassificationConfigurationLogisticRegression	setLambda(double lambda)
ClassificationConfigurationLogisticRegression	setLearningRate(double learningRate)
ClassificationConfigurationLogisticRegression	setMaxRecords(int maxRecords)
ClassificationConfigurationLogisticRegression	setNumFolds(int numberOfFolds)
ClassificationConfigurationLogisticRegression	setPriorFunction(ClassificationConfigurationLogisticRegression.PriorFunction priorFunction)
ClassificationConfigurationLogisticRegression	setSeed(int seed)	Seed for randomization.
ClassificationConfigurationLogisticRegression	setStepOffset(int stepOffset)
ClassificationConfigurationLogisticRegression	setVectorLength(int vectorLength)

Von Klasse geerbte Methoden org.deidentifier.arx.ARXClassificationConfiguration

createLogisticRegression, createNaiveBayes, createRandomForest, isModified, setModified, setUnmodified

Von Klasse geerbte Methoden java.lang.Object

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

Felddetails

DEFAULT_ALPHA

public static final double DEFAULT_ALPHA

Default value

Siehe auch:

• Konstantenfeldwerte

DEFAULT_DECAY_EXPONENT

public static final double DEFAULT_DECAY_EXPONENT

Default value

Siehe auch:

• Konstantenfeldwerte

DEFAULT_LAMBDA

public static final double DEFAULT_LAMBDA

Default value

Siehe auch:

• Konstantenfeldwerte

DEFAULT_LEARNING_RATE

public static final double DEFAULT_LEARNING_RATE

Default value

Siehe auch:

• Konstantenfeldwerte

DEFAULT_STEP_OFFSET

public static final int DEFAULT_STEP_OFFSET

Default value

Siehe auch:

• Konstantenfeldwerte

DEFAULT_PRIOR

public static final ClassificationConfigurationLogisticRegression.PriorFunction DEFAULT_PRIOR

Default value

Konstruktordetails

ClassificationConfigurationLogisticRegression

protected ClassificationConfigurationLogisticRegression(double alpha,
 double decayExponent,
 double lambda,
 double learningRate,
 int stepOffset,
 int vectorLength,
 int maxRecords,
 int seed,
 int numberOfFolds,
 boolean deterministic,
 ClassificationConfigurationLogisticRegression.PriorFunction prior)

Clone constructor

Parameter:

alpha -

decayExponent -

lambda -

learningRate -

stepOffset -

vectorLength -

maxRecords -

seed -

numberOfFolds -

deterministic -

prior -

Methodendetails

create

public static ClassificationConfigurationLogisticRegression create()

Returns a new instance

Gibt zurück:

clone

public ClassificationConfigurationLogisticRegression clone()

Angegeben von:

clone in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

getAlpha

public double getAlpha()

Gibt zurück:

the alpha

getDecayExponent

public double getDecayExponent()

Gibt zurück:

the decayExponent

getLambda

public double getLambda()

Gibt zurück:

the lambda

getLearningRate

public double getLearningRate()

Gibt zurück:

the learningRate

getMaxRecords

public int getMaxRecords()

Setzt außer Kraft:

getMaxRecords in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Gibt zurück:

the maxRecords

getNumFolds

public int getNumFolds()

Setzt außer Kraft:

getNumFolds in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Gibt zurück:

the numberOfFolds

getPriorFunction

public ClassificationConfigurationLogisticRegression.PriorFunction getPriorFunction()

Gibt zurück:

the priorFunction

getSeed

public long getSeed()

Setzt außer Kraft:

getSeed in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Gibt zurück:

the seed

getStepOffset

public int getStepOffset()

Gibt zurück:

the stepOffset

getVectorLength

public int getVectorLength()

Setzt außer Kraft:

getVectorLength in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Gibt zurück:

the vectorLength

isDeterministic

public boolean isDeterministic()

Returns whether the process should be deterministic

Setzt außer Kraft:

isDeterministic in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Gibt zurück:

parse

public void parse(ARXClassificationConfiguration<?> config)

Beschreibung aus Klasse kopiert: ARXClassificationConfiguration

Parses another configuration

Setzt außer Kraft:

parse in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

config -

setAlpha

public ClassificationConfigurationLogisticRegression setAlpha(double alpha)

Parameter:

alpha - the alpha to set

setDecayExponent

public ClassificationConfigurationLogisticRegression setDecayExponent(double decayExponent)

Parameter:

decayExponent - the decayExponent to set

setDeterministic

public ClassificationConfigurationLogisticRegression setDeterministic(boolean deterministic)

Sets whether the process should be deterministic

Setzt außer Kraft:

setDeterministic in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

deterministic -

Gibt zurück:

setLambda

public ClassificationConfigurationLogisticRegression setLambda(double lambda)

Parameter:

lambda - the lambda to set

setLearningRate

public ClassificationConfigurationLogisticRegression setLearningRate(double learningRate)

Parameter:

learningRate - the learningRate to set

setMaxRecords

public ClassificationConfigurationLogisticRegression setMaxRecords(int maxRecords)

Setzt außer Kraft:

setMaxRecords in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

maxRecords - the maxRecords to set

setNumFolds

public ClassificationConfigurationLogisticRegression setNumFolds(int numberOfFolds)

Setzt außer Kraft:

setNumFolds in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

numberOfFolds - the numberOfFolds to set

setPriorFunction

public ClassificationConfigurationLogisticRegression setPriorFunction(ClassificationConfigurationLogisticRegression.PriorFunction priorFunction)

Parameter:

priorFunction - the priorFunction to set

setSeed

public ClassificationConfigurationLogisticRegression setSeed(int seed)

Seed for randomization. Set to Integer.MAX_VALUE for randomization.

Setzt außer Kraft:

setSeed in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

seed - the seed to set

setStepOffset

public ClassificationConfigurationLogisticRegression setStepOffset(int stepOffset)

Parameter:

stepOffset - the stepOffset to set

setVectorLength

public ClassificationConfigurationLogisticRegression setVectorLength(int vectorLength)

Setzt außer Kraft:

setVectorLength in Klasse ARXClassificationConfiguration<ClassificationConfigurationLogisticRegression>

Parameter:

vectorLength - the vectorLength to set