Package org.deidentifier.arx.aggregates
package 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
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KlasseBeschreibungThis abstract class represents an aggregate function.A builder for aggregate functions.An aggregate function that has a parameter.An aggregate function that returns the arithmetic mean, if it may be computed, "NULL" otherwise.An aggregate function that returns the arithmetic mean of min Ungültige Eingabe: "&" max, if it may be computed, "NULL" otherwise.An aggregate function that returns an interval consisting of the first and the last element following the predefined order .An aggregate function that returns a common prefix.An aggregate function that returns a constant value.An aggregate function that returns the geometric mean, if it may be computed, "NULL" otherwise.An aggregate function that returns the geometric mean of min Ungültige Eingabe: "&" max, if it may be computed, "NULL" otherwise.An aggregate function that returns an interval [min, max] .An aggregate function that returns a set of all data values.An aggregate function that returns a set of the prefixes of the data values.Configuration for logistic regressionPrior function for regularizationConfiguration for naive bayes classificationType of bayes classifierConfiguration for Random Forest classifiersSplit rule for the decision treeBase class for hierarchy builders.The three types of builders.This class enables building hierarchies for dates.A format-class for localizationGranularityThis abstract base class enables building hierarchies for categorical and non-categorical values.This class represents a fanout parameter.This class represents a level in the hierarchy.This class enables building hierarchies for non-categorical values by mapping them into given intervals.This class represents an interval.For each direction, this class encapsulates three bounds.This class enables building hierarchies for categorical and non-categorical values by ordering the data items and merging into groups with predefined sizes.A serializable comparator.This class enables building hierarchies mostly for categorical variables by iteratively removing the value with lowest priorityFor prioritiesThis class enables building hierarchies for categorical and non-categorical values using redaction.OrderA class offering basic descriptive statistics about data handles.A class offering basic descriptive statistics about data handles.Statistics representing the performance of various classifiersA ROC curveA contingency table.An entry in the contingency table.Statistics about the equivalence classes.A frequency distribution.Encapsulates statistics obtained using various quality modelsA base class for summary statistics