Struct smartnoise_validator::proto::DpVariance

pub struct DpVariance {
    pub mechanism: String,
    pub privacy_usage: Vec<PrivacyUsage>,
    pub finite_sample_correction: bool,
}

DPVariance Component

Returns a differentially private estimate of the variance for each column of the data.

This struct represents an abstract computation. Arguments are provided via the graph. Additional options are set via the fields on this struct. The return is the result of the dp_variance on the arguments.

Arguments

• data - Array
• lower - Array - Estimated minimum possible value of the statistic. Only useful for the snapping mechanism. Atomic data type must be float.
• upper - Array - Estimated maximum possible value of the statistic. Only useful for the snapping mechanism. Atomic data type must be float.

Returns

• Value - Array - Differentially private sample variance for each column of the data.

Fields

mechanism: String

Privatizing mechanism to use. Value must be one of [Laplace, Snapping, Gaussian, AnalyticGaussian].

privacy_usage: Vec<PrivacyUsage>

Object describing the type and amount of privacy to be used for the mechanism release. Atomic data type value must be float. Example value: {‘epsilon’: 0.5}

finite_sample_correction: bool

Whether or not to use the finite sample correction (Bessel’s correction).

Trait Implementations

impl Clone for DpVariance

fn clone(&self) -> DpVariance

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DpVariance

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DpVariance

fn default() -> DpVariance

Returns the “default value” for a type.

impl Expandable for DpVariance

fn expand_component(
    &self,
    privacy_definition: &Option<PrivacyDefinition>,
    component: &Component,
    _public_arguments: &IndexMap<IndexKey, &Value>,
    _properties: &NodeProperties,
    component_id: u32,
    maximum_id: u32
) -> Result<ComponentExpansion>

Concrete implementation for an Expandable component that returns a patch that may be applied to a computation graph.

impl Message for DpVariance

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

pub fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

pub fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes a length-delimited instance of the message from the buffer.

pub fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

pub fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<DpVariance> for DpVariance

fn eq(&self, other: &DpVariance) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &DpVariance) -> bool

This method tests for !=.

impl Report for DpVariance

fn summarize(
    &self,
    node_id: u32,
    component: &Component,
    _public_arguments: IndexMap<IndexKey, &Value>,
    properties: NodeProperties,
    release: &Value,
    variable_names: Option<&Vec<IndexKey>>
) -> Result<Option<Vec<JSONRelease>>>

Summarize the relevant metadata around a computation in a readable, JSON-serializable format.

impl StructuralPartialEq for DpVariance