Uses of Class
dk.alexandra.fresco.stat.utils.MultiDimensionalArray

Packages that use MultiDimensionalArray

Package	Description
dk.alexandra.fresco.stat
dk.alexandra.fresco.stat.anonymisation
dk.alexandra.fresco.stat.descriptive
dk.alexandra.fresco.stat.utils

Uses of MultiDimensionalArray in dk.alexandra.fresco.stat

Methods in dk.alexandra.fresco.stat that return types with arguments of type MultiDimensionalArray

Modifier and Type	Method	Description
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>>	DefaultFilteredStatistics.kAnonymize(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> filter)
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>>	DefaultStatistics.kAnonymize(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k)
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>>	FilteredStatistics.kAnonymize(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> filter)	Compute a k-anonymized version of the given filtered datset.
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>>	Statistics.kAnonymize(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k)	Compute a k-anonymized version of the given datset.
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<BigInteger>>>	DefaultFilteredStatistics.kAnonymizeAndOpen(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> filter)
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<BigInteger>>>	DefaultStatistics.kAnonymizeAndOpen(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k)
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<BigInteger>>>	FilteredStatistics.kAnonymizeAndOpen(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> filter)	Compute a k-anonymized version of the given filtered datset.
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<BigInteger>>>	Statistics.kAnonymizeAndOpen(dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data, List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> sensitiveAttributes, List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, int k)	Compute a k-anonymized version of the given dataset and open it to all parties.
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>	DefaultStatistics.multiDimensionalHistogramDiscrete(List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data)
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>	Statistics.multiDimensionalHistogramDiscrete(List<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>> buckets, dk.alexandra.fresco.lib.common.collections.Matrix<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> data)	Compute the histogram for the given multi-dimensional sample.

Uses of MultiDimensionalArray in dk.alexandra.fresco.stat.anonymisation

Methods in dk.alexandra.fresco.stat.anonymisation that return types with arguments of type MultiDimensionalArray

Modifier and Type	Method	Description
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<List<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>>	LeakyKAnonymity.buildComputation(dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric builder)

Uses of MultiDimensionalArray in dk.alexandra.fresco.stat.descriptive

Methods in dk.alexandra.fresco.stat.descriptive that return types with arguments of type MultiDimensionalArray

Modifier and Type	Method	Description
dk.alexandra.fresco.framework.DRes<MultiDimensionalArray<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>>>	MultiDimensionalHistogram.buildComputation(dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric builder)

Uses of MultiDimensionalArray in dk.alexandra.fresco.stat.utils

Methods in dk.alexandra.fresco.stat.utils that return MultiDimensionalArray

Modifier and Type	Method	Description
static <S> MultiDimensionalArray<S>	MultiDimensionalArray.build(int width, IntFunction<MultiDimensionalArray<S>> populator)	Create a new MultiDimensionalArray.
static <S> MultiDimensionalArray<S>	MultiDimensionalArray.build(List<Integer> shape, Function<List<Integer>,S> populator)	Create a new multi-dimensional array with the given shape and with each entry being generated by the populator function.
static <S> MultiDimensionalArray<S>	MultiDimensionalArray.build(List<S> entries)	Create a new one-dimensional array with the given entries.
<S> MultiDimensionalArray<S>	MultiDimensionalArray.map(Function<T,S> function)	Return a new MultiDimensionalArray of the same size as this, using the given function to map from the elements of this array to the corresponding entry in the new array
MultiDimensionalArray<T>	MultiDimensionalArray.project(Function<List<T>,T> projection)	Project this array into an array of dimension d-1 using the given projection function.
static <S> MultiDimensionalArray<S>	MultiDimensionalArray.sparse(List<Integer> shape)

Method parameters in dk.alexandra.fresco.stat.utils with type arguments of type MultiDimensionalArray

Modifier and Type	Method	Description
static <S> MultiDimensionalArray<S>	MultiDimensionalArray.build(int width, IntFunction<MultiDimensionalArray<S>> populator)	Create a new MultiDimensionalArray.