Uses of Class
org.deidentifier.arx.aggregates.ClassificationConfigurationLogisticRegression.PriorFunction

Packages that use ClassificationConfigurationLogisticRegression.PriorFunction

Package	Description
org.deidentifier.arx.aggregates	This package provides methods for aggregating data: (1) builders for generalization hierarchies, (2) various methods for analyzing data quality and utility

Uses of ClassificationConfigurationLogisticRegression.PriorFunction in org.deidentifier.arx.aggregates

Fields in org.deidentifier.arx.aggregates declared as ClassificationConfigurationLogisticRegression.PriorFunction

Modifier and Type	Field and Description
static ClassificationConfigurationLogisticRegression.PriorFunction	ClassificationConfigurationLogisticRegression.DEFAULT_PRIOR Default value

Methods in org.deidentifier.arx.aggregates that return ClassificationConfigurationLogisticRegression.PriorFunction

Modifier and Type	Method and Description
ClassificationConfigurationLogisticRegression.PriorFunction	ClassificationConfigurationLogisticRegression.getPriorFunction()
static ClassificationConfigurationLogisticRegression.PriorFunction	ClassificationConfigurationLogisticRegression.PriorFunction.valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static ClassificationConfigurationLogisticRegression.PriorFunction[]	ClassificationConfigurationLogisticRegression.PriorFunction.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deidentifier.arx.aggregates with parameters of type ClassificationConfigurationLogisticRegression.PriorFunction

Modifier and Type	Method and Description
ClassificationConfigurationLogisticRegression	ClassificationConfigurationLogisticRegression.setPriorFunction(ClassificationConfigurationLogisticRegression.PriorFunction priorFunction)

Constructors in org.deidentifier.arx.aggregates with parameters of type ClassificationConfigurationLogisticRegression.PriorFunction

Constructor and Description
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