Struct google_dlp2::GooglePrivacyDlpV2KMapEstimationConfig

pub struct GooglePrivacyDlpV2KMapEstimationConfig {
    pub region_code: Option<String>,
    pub quasi_ids: Option<Vec<GooglePrivacyDlpV2TaggedField>>,
    pub auxiliary_tables: Option<Vec<GooglePrivacyDlpV2AuxiliaryTable>>,
}

Reidentifiability metric. This corresponds to a risk model similar to what is called "journalist risk" in the literature, except the attack dataset is statistically modeled instead of being perfectly known. This can be done using publicly available data (like the US Census), or using a custom statistical model (indicated as one or several BigQuery tables), or by extrapolating from the distribution of values in the input dataset. A column with a semantic tag attached.

This type is not used in any activity, and only used as part of another schema.

Fields

region_code: Option<String>

ISO 3166-1 alpha-2 region code to use in the statistical modeling. Required if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

quasi_ids: Option<Vec<GooglePrivacyDlpV2TaggedField>>

Fields considered to be quasi-identifiers. No two columns can have the same tag. [required]

auxiliary_tables: Option<Vec<GooglePrivacyDlpV2AuxiliaryTable>>

Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.

Trait Implementations

impl Part for GooglePrivacyDlpV2KMapEstimationConfig

impl Default for GooglePrivacyDlpV2KMapEstimationConfig

fn default() -> GooglePrivacyDlpV2KMapEstimationConfig

Returns the "default value" for a type.

impl Clone for GooglePrivacyDlpV2KMapEstimationConfig

fn clone(&self) -> GooglePrivacyDlpV2KMapEstimationConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GooglePrivacyDlpV2KMapEstimationConfig

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

Formats the value using the given formatter.

impl Serialize for GooglePrivacyDlpV2KMapEstimationConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for GooglePrivacyDlpV2KMapEstimationConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.