| Package | Description |
|---|---|
| org.deidentifier.arx |
This package provides the public API for the ARX anonymization framework.
|
| 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
|
| org.deidentifier.arx.aggregates.classification |
This package implements classes for analyzing the effect of anonymization on classification tasks
|
| org.deidentifier.arx.aggregates.quality |
This package provides implementations of various quality models which can be
used for quality analysis (but not as optimization functions)
|
| org.deidentifier.arx.metric.v2 |
Main package implementing quality models
|
| Class and Description |
|---|
| AggregateFunction.AggregateFunctionBuilder
A builder for aggregate functions.
|
| ClassificationConfigurationLogisticRegression
Configuration for logistic regression
|
| ClassificationConfigurationNaiveBayes
Configuration for naive bayes classification
|
| ClassificationConfigurationRandomForest
Configuration for Random Forest classifiers
|
| HierarchyBuilder
Base class for hierarchy builders.
|
| StatisticsBuilder
A class offering basic descriptive statistics about data handles.
|
| Class and Description |
|---|
| AggregateFunction
This abstract class represents an aggregate function.
|
| AggregateFunction.AggregateFunctionBuilder
A builder for aggregate functions.
|
| AggregateFunction.AggregateFunctionWithParameter
An aggregate function that has a parameter.
|
| ClassificationConfigurationLogisticRegression
Configuration for logistic regression
|
| ClassificationConfigurationLogisticRegression.PriorFunction
Prior function for regularization
|
| ClassificationConfigurationNaiveBayes
Configuration for naive bayes classification
|
| ClassificationConfigurationNaiveBayes.Type
Type of bayes classifier
|
| ClassificationConfigurationRandomForest
Configuration for Random Forest classifiers
|
| ClassificationConfigurationRandomForest.SplitRule
Split rule for the decision tree
|
| HierarchyBuilder
Base class for hierarchy builders.
|
| HierarchyBuilder.Type
The three types of builders.
|
| HierarchyBuilderDate.Format
A format-class for localization
|
| HierarchyBuilderDate.Granularity
Granularity
|
| HierarchyBuilderGroupingBased
This abstract base class enables building hierarchies for categorical and non-categorical values.
|
| HierarchyBuilderGroupingBased.Group
This class represents a fanout parameter.
|
| HierarchyBuilderGroupingBased.Level
This class represents a level in the hierarchy.
|
| HierarchyBuilderIntervalBased
This class enables building hierarchies for non-categorical values by mapping them
into given intervals.
|
| HierarchyBuilderIntervalBased.IndexNode
This class represents an node.
|
| HierarchyBuilderIntervalBased.Interval
This class represents an interval.
|
| HierarchyBuilderIntervalBased.Range
For each direction, this class encapsulates three bounds.
|
| HierarchyBuilderOrderBased
This class enables building hierarchies for categorical and non-categorical values
by ordering the data items and merging into groups with predefined sizes.
|
| HierarchyBuilderRedactionBased
This class enables building hierarchies for categorical and non-categorical values
using redaction.
|
| HierarchyBuilderRedactionBased.Order
Order
|
| StatisticsBuilderInterruptible
A class offering basic descriptive statistics about data handles.
|
| StatisticsClassification
Statistics representing the performance of various classifiers
|
| StatisticsClassification.ROCCurve
A ROC curve
|
| StatisticsContingencyTable
A contingency table.
|
| StatisticsContingencyTable.Entry
An entry in the contingency table.
|
| StatisticsEquivalenceClasses
Statistics about the equivalence classes.
|
| StatisticsFrequencyDistribution
A frequency distribution.
|
| StatisticsQuality
Encapsulates statistics obtained using various quality models
|
| StatisticsSummary
A base class for summary statistics
|
| Class and Description |
|---|
| ClassificationConfigurationLogisticRegression
Configuration for logistic regression
|
| ClassificationConfigurationNaiveBayes
Configuration for naive bayes classification
|
| ClassificationConfigurationRandomForest
Configuration for Random Forest classifiers
|
| Class and Description |
|---|
| HierarchyBuilderRedactionBased
This class enables building hierarchies for categorical and non-categorical values
using redaction.
|
| Class and Description |
|---|
| HierarchyBuilder
Base class for hierarchy builders.
|
| HierarchyBuilderGroupingBased
This abstract base class enables building hierarchies for categorical and non-categorical values.
|
| HierarchyBuilderIntervalBased
This class enables building hierarchies for non-categorical values by mapping them
into given intervals.
|
| HierarchyBuilderRedactionBased
This class enables building hierarchies for categorical and non-categorical values
using redaction.
|