Struct google_dlp2_beta1::GooglePrivacyDlpV2beta1KMapEstimationConfig[][src]

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

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

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.

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

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 Default for GooglePrivacyDlpV2beta1KMapEstimationConfig
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Returns the "default value" for a type. Read more

impl Clone for GooglePrivacyDlpV2beta1KMapEstimationConfig
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Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

impl Debug for GooglePrivacyDlpV2beta1KMapEstimationConfig
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Formats the value using the given formatter. Read more

impl Part for GooglePrivacyDlpV2beta1KMapEstimationConfig
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Auto Trait Implementations