Module opendp::combinators

Various combinator constructors.

Modules

• amplify 🔒
• chain 🔒
• fix_delta 🔒
• measure_cast 🔒
• sequential_compositor 🔒

Traits

• AmplifiableMeasure
• FixDeltaMeasure
• IsSizedDomain

Functions

• make_chain_mt
  Construct the functional composition (measurement1 ○ transformation0). Returns a Measurement that when invoked, computes measurement1(transformation0(x)).
• make_chain_pm
  Construct the functional composition (postprocess1 ○ measurement0). Returns a Measurement that when invoked, computes postprocess1(measurement0(x)). Used to represent non-interactive postprocessing.
• make_chain_tt
  Construct the functional composition (transformation1 ○ transformation0). Returns a Measurement that when invoked, computes transformation1(transformation0(x)).
• make_fix_delta
  Fix the delta parameter in the privacy map of a measurement with a SmoothedMaxDivergence output measure.
• make_population_amplification
  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.
• make_pureDP_to_fixed_approxDP
  Constructs a new output measurement where the output measure is casted from MaxDivergence<QO> to FixedSmoothedMaxDivergence<QO>.
• make_pureDP_to_zCDP
  Constructs a new output measurement where the output measure is casted from MaxDivergence<QO> to ZeroConcentratedDivergence<QO>.
• make_zCDP_to_approxDP
  Constructs a new output measurement where the output measure is casted from ZeroConcentratedDivergence<QO> to SmoothedMaxDivergence<QO>.