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dpagg

package

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Versions in this module

v1

v1.1.2

Feb 7, 2022

v1.1.0

Aug 2, 2021

Changes in this version

+ type BoundedStandardDeviation struct

+ Variance BoundedVariance

+ func NewBoundedStandardDeviation(opt *BoundedStandardDeviationOptions) *BoundedStandardDeviation

+ func (bstdv *BoundedStandardDeviation) Add(e float64)

+ func (bstdv *BoundedStandardDeviation) GobDecode(data []byte) error

+ func (bstdv *BoundedStandardDeviation) GobEncode() ([]byte, error)

+ func (bstdv *BoundedStandardDeviation) Merge(bstdv2 *BoundedStandardDeviation)

+ func (bstdv *BoundedStandardDeviation) Result() float64

+ type BoundedStandardDeviationOptions struct

+ Delta float64

+ Epsilon float64

+ Lower float64

+ MaxContributionsPerPartition int64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ Upper float64

+ type BoundedVariance struct

+ Count Count

+ NormalizedSum BoundedSumFloat64

+ NormalizedSumOfSquares BoundedSumFloat64

+ func NewBoundedVariance(opt *BoundedVarianceOptions) *BoundedVariance

+ func (bv *BoundedVariance) Add(e float64)

+ func (bv *BoundedVariance) GobDecode(data []byte) error

+ func (bv *BoundedVariance) GobEncode() ([]byte, error)

+ func (bv *BoundedVariance) Merge(bv2 *BoundedVariance)

+ func (bv *BoundedVariance) Result() float64

+ type BoundedVarianceOptions struct

+ Delta float64

+ Epsilon float64

+ Lower float64

+ MaxContributionsPerPartition int64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ Upper float64

v1.0.1

Jul 27, 2021

Changes in this version

+ const DefaultBranchingFactor

+ const DefaultTreeHeight

+ var LargestRepresentableDelta = 1 - math.Pow(2, -53)

+ func ClampFloat64(e, lower, upper float64) (float64, error)

+ func ClampInt64(e, lower, upper int64) (int64, error)

+ type BoundedMeanFloat64 struct

+ Count Count

+ NormalizedSum BoundedSumFloat64

+ func NewBoundedMeanFloat64(opt *BoundedMeanFloat64Options) *BoundedMeanFloat64

+ func (bm *BoundedMeanFloat64) Add(e float64)

+ func (bm *BoundedMeanFloat64) ComputeConfidenceInterval(alpha float64) (noise.ConfidenceInterval, error)

+ func (bm *BoundedMeanFloat64) GobDecode(data []byte) error

+ func (bm *BoundedMeanFloat64) GobEncode() ([]byte, error)

+ func (bm *BoundedMeanFloat64) Merge(bm2 *BoundedMeanFloat64)

+ func (bm *BoundedMeanFloat64) Result() float64

+ type BoundedMeanFloat64Options struct

+ Delta float64

+ Epsilon float64

+ Lower float64

+ MaxContributionsPerPartition int64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ Upper float64

+ type BoundedQuantiles struct

+ Noise noise.Noise

+ func NewBoundedQuantiles(opt *BoundedQuantilesOptions) *BoundedQuantiles

+ func (bq *BoundedQuantiles) Add(e float64)

+ func (bq *BoundedQuantiles) GobDecode(data []byte) error

+ func (bq *BoundedQuantiles) GobEncode() ([]byte, error)

+ func (bq *BoundedQuantiles) Merge(bq2 *BoundedQuantiles)

+ func (bq *BoundedQuantiles) Result(rank float64) float64

+ type BoundedQuantilesOptions struct

+ BranchingFactor int

+ Delta float64

+ Epsilon float64

+ Lower float64

+ MaxContributionsPerPartition int64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ TreeHeight int

+ Upper float64

+ type BoundedSumFloat64 struct

+ Noise noise.Noise

+ func NewBoundedSumFloat64(opt *BoundedSumFloat64Options) *BoundedSumFloat64

+ func (bs *BoundedSumFloat64) Add(e float64)

+ func (bs *BoundedSumFloat64) ComputeConfidenceInterval(alpha float64) (noise.ConfidenceInterval, error)

+ func (bs *BoundedSumFloat64) GobDecode(data []byte) error

+ func (bs *BoundedSumFloat64) GobEncode() ([]byte, error)

+ func (bs *BoundedSumFloat64) Merge(bs2 *BoundedSumFloat64)

+ func (bs *BoundedSumFloat64) Result() float64

+ func (bs *BoundedSumFloat64) ThresholdedResult(thresholdDela float64) *float64

+ type BoundedSumFloat64Options struct

+ Delta float64

+ Epsilon float64

+ Lower float64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ Upper float64

+ type BoundedSumInt64 struct

+ Noise noise.Noise

+ func NewBoundedSumInt64(opt *BoundedSumInt64Options) *BoundedSumInt64

+ func (bs *BoundedSumInt64) Add(e int64)

+ func (bs *BoundedSumInt64) ComputeConfidenceInterval(alpha float64) (noise.ConfidenceInterval, error)

+ func (bs *BoundedSumInt64) GobDecode(data []byte) error

+ func (bs *BoundedSumInt64) GobEncode() ([]byte, error)

+ func (bs *BoundedSumInt64) Merge(bs2 *BoundedSumInt64)

+ func (bs *BoundedSumInt64) Result() int64

+ func (bs *BoundedSumInt64) ThresholdedResult(thresholdDelta float64) *int64

+ type BoundedSumInt64Options struct

+ Delta float64

+ Epsilon float64

+ Lower int64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ Upper int64

+ type Count struct

+ Noise noise.Noise

+ func NewCount(opt *CountOptions) *Count

+ func (c *Count) ComputeConfidenceInterval(alpha float64) (noise.ConfidenceInterval, error)

+ func (c *Count) GobDecode(data []byte) error

+ func (c *Count) GobEncode() ([]byte, error)

+ func (c *Count) Increment()

+ func (c *Count) IncrementBy(count int64)

+ func (c *Count) Merge(c2 *Count)

+ func (c *Count) Result() int64

+ func (c *Count) ThresholdedResult(thresholdDelta float64) *int64

+ type CountOptions struct

+ Delta float64

+ Epsilon float64

+ MaxPartitionsContributed int64

+ Noise noise.Noise

+ type PreAggSelectPartition struct

+ func NewPreAggSelectPartition(opt *PreAggSelectPartitionOptions) *PreAggSelectPartition

+ func (s *PreAggSelectPartition) GetHardThreshold() int

+ func (s *PreAggSelectPartition) GobDecode(data []byte) error

+ func (s *PreAggSelectPartition) GobEncode() ([]byte, error)

+ func (s *PreAggSelectPartition) Increment()

+ func (s *PreAggSelectPartition) Merge(s2 *PreAggSelectPartition)

+ func (s *PreAggSelectPartition) ShouldKeepPartition() bool

+ func (s *PreAggSelectPartition) String() string

+ type PreAggSelectPartitionOptions struct

+ Delta float64

+ Epsilon float64

+ MaxPartitionsContributed int64

Other modules containing this package

github.com/google/differential-privacy/go/v2

github.com/google/differential-privacy/go/v3