Struct google_dlp2_beta1::api::GooglePrivacyDlpV2beta1KMapEstimationConfig

pub struct GooglePrivacyDlpV2beta1KMapEstimationConfig {
    pub auxiliary_tables: Option<Vec<GooglePrivacyDlpV2beta1AuxiliaryTable>>,
    pub quasi_ids: Option<Vec<GooglePrivacyDlpV2beta1TaggedField>>,
    pub region_code: Option<String>,
}

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.

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

Fields

auxiliary_tables: Option<Vec<GooglePrivacyDlpV2beta1AuxiliaryTable>>

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.

quasi_ids: Option<Vec<GooglePrivacyDlpV2beta1TaggedField>>

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

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.

Trait Implementations

impl Clone for GooglePrivacyDlpV2beta1KMapEstimationConfig

fn clone(&self) -> GooglePrivacyDlpV2beta1KMapEstimationConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GooglePrivacyDlpV2beta1KMapEstimationConfig

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

Formats the value using the given formatter.

impl Default for GooglePrivacyDlpV2beta1KMapEstimationConfig

fn default() -> GooglePrivacyDlpV2beta1KMapEstimationConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GooglePrivacyDlpV2beta1KMapEstimationConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GooglePrivacyDlpV2beta1KMapEstimationConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GooglePrivacyDlpV2beta1KMapEstimationConfig