Struct opendp::core::PrivacyMap

pub struct PrivacyMap<MI: Metric, MO: Measure>(pub Rc<dyn Fn(&MI::Distance) -> Fallible<MO::Distance>>);

A map evaluating the privacy of a Measurement.

A PrivacyMap is implemented as a function that takes an input Metric::Distance and returns the smallest upper bound on distances between output distributions on neighboring input datasets.

Tuple Fields

0: Rc<dyn Fn(&MI::Distance) -> Fallible<MO::Distance>>

Implementations

impl<MI: Metric, MO: Measure> PrivacyMap<MI, MO>

pub fn new(map: impl Fn(&MI::Distance) -> MO::Distance + 'static) -> Self

pub fn new_fallible( map: impl Fn(&MI::Distance) -> Fallible<MO::Distance> + 'static ) -> Self

pub fn new_from_constant(c: MO::Distance) -> Selfwhere MI::Distance: Clone, MO::Distance: DistanceConstant<MI::Distance>,

pub fn eval(&self, input_distance: &MI::Distance) -> Fallible<MO::Distance>

impl<MI: 'static + Metric, MO: 'static + Measure> PrivacyMap<MI, MO>

pub fn make_chain<MX: 'static + Metric>( map1: &PrivacyMap<MX, MO>, map0: &StabilityMap<MI, MX> ) -> Self

Trait Implementations

impl<MI: Metric, MO: Measure> Clone for PrivacyMap<MI, MO>

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<MI: Metric, MO: Measure> IntoAnyPrivacyMapExt for PrivacyMap<MI, MO>where MI::Distance: 'static, MO::Distance: 'static,

fn into_any(self) -> PrivacyMap<AnyMetric, AnyMeasure>