int absMaxOutliers
PrivacyCriterion[] aCriteria
SampleBasedCriterion[] bCriteria
java.util.Map<K,V> attributeWeights
java.util.Set<E> criteria
Metric<T extends InformationLoss<?>> metric
boolean practicalMonotonicity
double relMaxOutliers
int requirements
int snapshotLength
java.lang.Integer suppressedAttributeTypes
java.lang.Boolean suppressionAlwaysEnabled
boolean utilityBasedMicroaggregation
boolean utilityBasedMicroaggregationUseMeanSquaredError
boolean heuristicSearchForSampleBasedCriteria
boolean heuristicSearchEnabled
java.lang.Integer heuristicSearchThreshold
java.lang.Integer heuristicSearchTimeLimit
ARXCostBenefitConfiguration costBenefitConfiguration
ARXLattice.Access access
Metric<T extends InformationLoss<?>> metric
int size
java.lang.Long virtualSize
boolean uncertainty
java.lang.Boolean complete
boolean monotonicAnonymous
boolean monotonicNonAnonymous
InformationLoss<T> minimumInformationLoss
InformationLoss<T> maximumInformationLoss
ARXLattice lattice
double alpha
double decayExponent
double lambda
double learningRate
int stepOffset
int vectorLength
int maxRecords
int seed
int numberOfFolds
boolean deterministic
ARXLogisticRegressionConfiguration.PriorFunction prior
ARXPopulationModel.Region region
double sampleFraction
java.lang.Long populationSize
private void readObject(java.io.ObjectInputStream ois) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
java.util.List<E> hierarchy
java.lang.String[][] array
DistributionAggregateFunction function
DataScale requiredScale
java.lang.String label
DataScale requiredScale
java.lang.String label
java.util.Map<K,V> degrees
java.util.Map<K,V> levels
DataGeneralizationScheme.GeneralizationDegree degree
java.util.Set<E> attributes
RowSet set
int[] array
java.lang.Class<T> clazz
java.util.List<E> exampleFormats
boolean hasFormat
java.lang.String label
DataScale scale
HierarchyBuilder.Type type
java.util.Map<K,V> groups
DataType<T> datatype
AggregateFunction<T> function
int size
AggregateFunction<T> function
int level
java.util.List<E> list
HierarchyBuilderGroupingBased<T> builder
HierarchyBuilderIntervalBased.Range<U> lowerRange
HierarchyBuilderIntervalBased.Range<U> upperRange
java.util.List<E> intervals
HierarchyBuilderIntervalBased.IndexNode[] children
boolean isLeaf
HierarchyBuilderIntervalBased.Interval<T>[] leafs
java.lang.Object max
java.lang.Object min
AggregateFunction<T> function
java.lang.Object max
java.lang.Object min
HierarchyBuilderGroupingBased<T> builder
java.lang.Boolean lower
HierarchyBuilderRedactionBased.Order aligmentOrder
char paddingCharacter
char redactionCharacter
HierarchyBuilderRedactionBased.Order redactionOrder
java.lang.Double maxValueLength
java.lang.Double domainSize
java.lang.Double alphabetSize
double dMin
double dMax
DataSubset subset
double epsilon
double delta
int k
double beta
DataSubset subset
DataGeneralizationScheme generalization
private void readObject(java.io.ObjectInputStream ois) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
EntropyLDiversity.EntropyEstimator estimator
AttributeType.Hierarchy hierarchy
int[] tree
int start
int[] empty
int k
DataSubset subset
int derivedK
double significanceLevel
ARXPopulationModel populationModel
KMap.CellSizeEstimator estimator
double type1Error
RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel
ARXPopulationModel populationModel
ARXSolverConfiguration solverConfig
DataSubset subset
DataSubset subset
ARXCostBenefitConfiguration config
DomainShare[] shares
DistributionAggregateFunction[] microaggregationFunctions
int microaggregationStartIndex
int[] microaggregationDomainSizes
double maxIL
RiskModelCostBenefit riskModel
int k
ARXCostBenefitConfiguration config
boolean independent
java.lang.Boolean monotonicWithGeneralization
boolean monotonic
java.lang.Double gFactor
java.lang.Double gsFactor
java.lang.Double sFactor
boolean monotonic
double gsFactor
boolean precomputed
double precomputationThreshold
Metric.AggregateFunction aggregateFunction
MetricConfiguration.MetricConfigurationAttackerModel attackerModel
java.lang.String name
boolean monotonicVariantSupported
boolean attributeWeightsSupported
boolean configurableCodingModelSupported
boolean precomputationSupported
boolean aggregateFunctionSupported
boolean attackerModelSupported
double[] weights
int dimensions
int dimensionsGeneralized
int dimensionsAggregated
double[] min
double[] max
Metric.AggregateFunction function
DistributionAggregateFunction[] microaggregationFunctions
int microaggregationStartIndex
boolean microaggregationUseMeanSquaredError
java.lang.String[] microaggregationHeader
boolean precomputed
double threshold
AbstractMetricMultiDimensional defaultMetric
AbstractMetricMultiDimensional precomputedMetric
java.lang.Double tuples
int dimensions
int dimensionsGeneralized
int dimensionsAggregated
DistributionAggregateFunction[] microaggregationFunctions
int microaggregationStartIndex
int[] microaggregationDomainSizes
private void readObject(java.io.ObjectInputStream aInputStream) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
private void writeObject(java.io.ObjectOutputStream aOutputStream) throws java.io.IOException
java.io.IOException
double domainSize
DataType.DataTypeWithRatioScale<T> dataType
double[] shares
private void readObject(java.io.ObjectInputStream aInputStream) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
private void writeObject(java.io.ObjectOutputStream aOutputStream) throws java.io.IOException
java.io.IOException
double size
double[] shares
double maxValueLength
double domainSize
double alphabetSize
double minInput
double maxInput
double minOutput
double maxOutput
double tuples
DomainShare[] shares
double gFactor
double gsFactor
double sFactor
Cardinalities cardinalities
int[][][] values
Cardinalities cardinalities
double[][] cache
int[][][] hierarchies
double rows
java.lang.Double tuples
DomainShare[] shares
java.lang.Double max
DomainShare[] shares
double maxIL
java.lang.Double tuples
DomainShare[] shares
java.lang.Double max
TupleMatcher matcher
double[] inputDistribution
double maximalArea
ARXCostBenefitConfiguration config
DomainShare[] shares
double maxIL
RiskModelCostBenefit modelRisk
boolean journalistAttackerModel
QualityMetadata<T> maximalPayout
ARXCostBenefitConfiguration config