Module opendp::combinators
source · Expand description
Various combinator constructors.
Modules§
Traits§
Functions§
- Construct the functional composition (
measurement1
○transformation0
). Returns a Measurement that when invoked, computesmeasurement1(transformation0(x))
. - Construct the functional composition (
postprocess1
○measurement0
). Returns a Measurement that when invoked, computespostprocess1(measurement0(x))
. Used to represent non-interactive postprocessing. - Construct the functional composition (
transformation1
○transformation0
). Returns a Measurement that when invoked, computestransformation1(transformation0(x))
. - Fix the delta parameter in the privacy map of a
measurement
with aSmoothedMaxDivergence
output measure. - Construct an amplified measurement from a
measurement
with privacy amplification by subsampling. This measurement does not perform any sampling. It is useful when you have a dataset on-hand that is a simple random sample from a larger population. - Constructs a new output measurement where the output measure is casted from
MaxDivergence<QO>
toFixedSmoothedMaxDivergence<QO>
. - Constructs a new output measurement where the output measure is casted from
MaxDivergence<QO>
toZeroConcentratedDivergence<QO>
. - Constructs a new output measurement where the output measure is casted from
ZeroConcentratedDivergence<QO>
toSmoothedMaxDivergence<QO>
.