boolean deterministic
int maxRecords
int numberOfFolds
long seed
int vectorLength
boolean modified
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 heuristicSearchForSampleBasedCriteria
boolean heuristicSearchEnabled
java.lang.Integer heuristicSearchThreshold
java.lang.Integer heuristicSearchTimeLimit
java.lang.Integer heuristicSearchStepLimit
ARXCostBenefitConfiguration costBenefitConfiguration
java.lang.Double dpSearchBudget
int numOutputRecords
ARXConfiguration.SearchStepSemantics searchStepSemantics
double publisherBenefit
double publisherLoss
double adversaryGain
double adversaryCost
java.util.Map<K,V> functions
private void readObject(java.io.ObjectInputStream aInputStream) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
ARXLattice.Access access
Metric<T extends InformationLoss<?>> metric
int size
java.lang.Long virtualSize
java.math.BigInteger virtualSizeLargeLattice
boolean uncertainty
java.lang.Boolean complete
boolean monotonicAnonymous
boolean monotonicNonAnonymous
InformationLoss<T> minimumInformationLoss
InformationLoss<T> maximumInformationLoss
ARXLattice lattice
ARXPopulationModel.Region region
double sampleFraction
java.lang.Long populationSize
java.util.List<E> steps
long transformationsTotal
java.math.BigInteger transformationsTotalLargeLattice
long transformationsChecked
int initialNumberOfRecords
long duration
int[] transformation
int[] top
java.util.Map<K,V> headermap
InformationLoss<T> score
int numRecordsTransformed
boolean optimal
boolean modified
int type
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.text.SimpleDateFormat format
java.lang.String string
java.util.Locale locale
java.text.DecimalFormat format
java.lang.String string
java.util.Locale locale
java.text.DecimalFormat format
java.lang.String string
java.util.Locale locale
java.util.Map<K,V> order
java.lang.Class<T> clazz
java.util.List<E> exampleFormats
boolean hasFormat
java.lang.String label
DataScale scale
long[] array
int length
int size
java.lang.Character redaction
java.lang.String value
boolean lowerIncluded
boolean upperIncluded
int length
double alpha
double decayExponent
double lambda
double learningRate
int stepOffset
int vectorLength
int maxRecords
int seed
int numberOfFolds
boolean deterministic
ClassificationConfigurationLogisticRegression.PriorFunction prior
ClassificationConfigurationNaiveBayes.Type type
double sigma
int numberOfTrees
int numberOfVariablesToSplit
int minimumSizeOfLeafNodes
int maximumNumberOfLeafNodes
double subsample
ClassificationConfigurationRandomForest.SplitRule splitRule
HierarchyBuilder.Type type
HierarchyBuilderDate.Granularity[] granularities
java.util.TimeZone timeZone
HierarchyBuilderDate.Format format
DataType.ARXDate datatype
java.util.Date topCoding
java.util.Date bottomCoding
java.util.Map<K,V> map
java.util.Map<K,V> groups
DataType<T> datatype
AggregateFunction<T> function
java.lang.String label
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
java.lang.Object repeatBound
java.lang.Object snapBound
java.lang.Object labelBound
java.util.Comparator<T> comparator
java.lang.String[] values
HierarchyBuilderRedactionBased.Order aligmentOrder
char paddingCharacter
char redactionCharacter
HierarchyBuilderRedactionBased.Order redactionOrder
java.lang.Double maxValueLength
java.lang.Double domainSize
java.lang.Double alphabetSize
java.lang.Integer smallestSize
java.lang.Double highestRisk
java.lang.Double recordsAtRisk
double b
double[] distribution
double d
double[] distribution
double dMin
double dMax
DataSubset subset
double epsilon
double delta
int k
double beta
DataSubset subset
DataGeneralizationScheme generalization
double b
double[] distribution
private void readObject(java.io.ObjectInputStream ois) throws java.lang.ClassNotFoundException, java.io.IOException
java.lang.ClassNotFoundException
java.io.IOException
EntropyLDiversity.EntropyEstimator estimator
double[] distribution
java.lang.String attribute
int index
AttributeType.Hierarchy hierarchy
int[] tree
int start
int[] empty
int k
int k
DataSubset subset
int derivedK
double significanceLevel
ARXPopulationModel populationModel
KMap.CellSizeEstimator estimator
double type1Error
double l
int minSize
double[] distribution
int[] order
int[] orderNumber
double[] baseDistances
double[] baseSums
int minOrder
RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel
ARXPopulationModel populationModel
ARXSolverConfiguration solverConfig
boolean monotonic
java.lang.Boolean monotonicWithGeneralization
DataSubset subset
DataSubset subset
ARXCostBenefitConfiguration config
DomainShare[] shares
DataAggregationInformation aggregation
double maxIL
RiskModelCostBenefit riskModel
int k
ARXCostBenefitConfiguration config
double c
double threshold
double t
boolean ignoreMissingData
boolean typePreserving
java.lang.Double minimum
java.lang.Double maximum
java.lang.Double minimum
java.lang.Double maximum
java.lang.Double minimum
java.lang.Double maximum
double minimum
double maximum
DataMatrix data
java.lang.String[] header
Dictionary dictionary
int[] columns
java.util.Map<K,V> map
java.lang.String[] header
int[] columns
int hotThreshold
0
to hotThreshold - 1
must be analyzed in hot mode.int[] hotQIsNotGeneralized
columns
which must be aggregated during the anonymization process but which are not generalized.DistributionAggregateFunction[] hotQIsNotGeneralizedFunctions
int[] hotQIsNotGeneralizedDomainSizes
int[] hotQIsGeneralized
columns
which must be aggregated during the anonymization process and which are also generalized.DistributionAggregateFunction[] hotQIsGeneralizedFunctions
int[] hotQIsGeneralizedDomainSizes
int[] coldQIs
columns
which must be aggregated only after the anonymization process.DistributionAggregateFunction[] coldQIsFunctions
int[] coldQIsDomainSizes
int[] array
int rows
int columns
int iteratorI
int iteratorOffset
int baseOffset
int[] subset
DataMatrix matrix
private void readObject(java.io.ObjectInputStream stream) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
java.lang.String[][] mapping
int[] suppressed
double snapshotSizeDataset
double snapshotSizeSnapshot
int historySize
int maximalSizeForComplexOperations
int initialNodesInViewer
int maxNodesInViewer
java.lang.String description
long inputBytes
boolean modified
java.lang.String name
char separator
CSVSyntax csvSyntax
long time
java.util.Locale locale
java.util.List<E> auditTrail
java.lang.String charset
null
boolean debugEnabled
int[] groups
java.lang.String optimalNodeAsString
java.lang.String outputNodeAsString
java.lang.String selectedClassValue
java.lang.String selectedAttribute
java.lang.Boolean showVisualization
java.lang.String[] pair
java.lang.String query
java.lang.String subsetOrigin
ModelConfiguration inputConfig
ModelNodeFilter nodeFilter
ModelViewConfig viewConfig
ModelConfiguration outputConfig
ModelRisk riskModel
ModelDPresenceCriterion dPresenceModel
ModelKMapCriterion kMapModel
ModelKAnonymityCriterion kAnonymityModel
java.util.Map<K,V> lDiversityModel
java.util.Map<K,V> tClosenessModel
java.util.Set<E> riskBasedModel
ModelDifferentialPrivacyCriterion differentialPrivacyModel
java.util.Map<K,V> dDisclosurePrivacyModel
ModelProfitabilityCriterion stackelbergPrivacyModel
java.util.Map<K,V> bLikenessModel
MetricConfiguration metricConfig
MetricDescription metricDescription
java.lang.Boolean useListwiseDeletion
java.lang.Boolean useFunctionalHierarchies
java.util.Set<E> selectedQuasiIdentifiers
ModelLocalRecoding localRecodingModel
java.lang.Integer heuristicSearchThreshold
java.lang.Integer heuristicSearchTimeLimit
java.lang.Integer heuristicSearchStepLimit
ModelAnonymizationConfiguration anonymizationConfiguration
java.util.Set<E> selectedFeatures
java.util.Set<E> selectedClasses
ModelClassification classificationModel
ARXProcessStatistics optimizationStatistics
Model model
ModelAnonymizationConfiguration.SearchType searchType
ModelAnonymizationConfiguration.TransformationType transformationType
java.lang.String attribute
java.lang.String searchString
java.lang.String replacementString
boolean enhanced
double beta
boolean modified
ARXClassificationConfiguration<T extends ARXClassificationConfiguration<?>> configCurrent
ClassificationConfigurationLogisticRegression config
ClassificationConfigurationNaiveBayes configNaiveBayes
ClassificationConfigurationRandomForest configRandomForest
ARXFeatureScaling featureScaling
java.util.Map<K,V> min
java.util.Map<K,V> max
ARXConfiguration config
boolean modified
java.util.Map<K,V> hierarchies
java.util.Map<K,V> microAggregationFunctions
java.util.Map<K,V> microAggregationIgnoreMissingData
java.util.Map<K,V> transformationModes
RowSet researchSubset
java.lang.Double suppressionWeight
java.util.Map<K,V> hierarchyBuilders
boolean enabled
double d
double delta
double epsilon
java.lang.Double epsilonGeneralizationFraction
DataGeneralizationScheme generalization
double dmin
double dmax
java.lang.String attribute
int k
int k
double significanceLevel
KMap.CellSizeEstimator estimator
int variant
int l
double c
double gsFactor
int numIterations
double adaptionFactor
ModelLocalRecoding.LocalRecodingMode mode
private void readObject(java.io.ObjectInputStream stream) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
java.util.Set<E> anonymity
java.util.Set<E>[] generalizations
int maxNumNodesInitial
double minInformationLoss
double maxInformationLoss
ModelProfitabilityCriterion.AttackerModel attackerModel
boolean allowAttacks
boolean modified
ARXPopulationModel populationModel
ARXSolverConfiguration config
int maxQiSize
java.util.Map<K,V> viewEnabledForInput
java.util.Map<K,V> viewEnabledForOutput
ModelRisk.RiskModelForAttributes riskModelForAttributes
java.lang.Double riskThresholdRecordsAtRisk
java.lang.Double riskThresholdHighestRisk
java.lang.Double riskThresholdSuccessRate
double threshold
int variant
int variant
double t
ModelViewConfig.Mode mode
java.lang.String attribute
boolean subset
boolean sortOrder
boolean changed
java.lang.Integer maxColumns
char delimiter
char quote
char escape
char[] linebreak
int maxColumns
java.util.List<E> metadata
boolean independent
java.lang.Boolean monotonicWithGeneralization
boolean monotonic
java.lang.Double gFactor
java.lang.Double gsFactor
java.lang.Double sFactor
double rowCount
boolean monotonic
double gsFactor
boolean precomputed
double precomputationThreshold
Metric.AggregateFunction aggregateFunction
java.lang.String name
boolean monotonicVariantSupported
boolean attributeWeightsSupported
boolean configurableCodingModelSupported
boolean precomputationSupported
boolean aggregateFunctionSupported
boolean attackerModelSupported
int rowCount
double rowCount
double[][] cache
int[][][] cardinalities
int[][][] hierarchies
int minHeight
int maxHeight
int[] height
double cells
int[] maxLevels
java.util.Map<K,V> _infoloss
double[][] infoloss
double[] weights
double[] values
double[] weights
double aggregate
double[] weights
int dimensions
int dimensionsGeneralized
int dimensionsAggregated
double[] min
double[] max
Metric.AggregateFunction function
DataAggregationInformation aggregation
int k
boolean precomputed
double threshold
AbstractMetricMultiDimensional defaultMetric
AbstractMetricMultiDimensional precomputedMetric
java.lang.Double tuples
DataAggregationInformation aggregation
int[][][] cardinalities
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
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
org.apache.commons.math3.fraction.BigFraction[] shares
private void readObject(java.io.ObjectInputStream stream) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
double[] aggregate
double mean
org.apache.commons.math3.fraction.BigFraction value
double value
double tuples
DomainShare[] shares
DomainShareReliable[] sharesReliable
double gFactor
double gsFactor
double sFactor
Cardinalities cardinalities
int[][][] values
double rowCount
int[] heights
Cardinalities cardinalities
double[][] cache
int[][][] hierarchies
double rows
int[] rootValues
double[] upper
java.util.Map<K,V> _infoloss
double[][] infoloss
int[] responseVariablesNonQI
int[] responseVariablesQI
double[][] responseVariablesQIScaleFactors
double penaltySuppressed
double penaltyInfrequentResponse
double penaltyNoMajorityResponse
double penaltyMax
double penaltyMaxScale
java.math.BigInteger sensitivity
java.lang.Double tuples
DomainShare[] shares
java.lang.Double max
long numRows
long k
DomainShare[] shares
double maxIL
java.lang.Double tuples
DomainShare[] shares
java.lang.Double max
double[] inputDistribution
double maximalArea
ARXCostBenefitConfiguration config
DomainShare[] shares
double maxIL
RiskModelCostBenefit modelRisk
boolean journalistAttackerModel
QualityMetadata<T> maximalPayout
java.lang.String parameter
java.lang.Object value
int[][][] hierarchies
int[] tuple
double lower
double upper
ARXCostBenefitConfiguration config