GooglePrivacyDlpV2KMapEstimationConfig class Null safety

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.

Constructors

GooglePrivacyDlpV2KMapEstimationConfig({List<GooglePrivacyDlpV2AuxiliaryTable>? auxiliaryTables, List<GooglePrivacyDlpV2TaggedField>? quasiIds, String? regionCode})
GooglePrivacyDlpV2KMapEstimationConfig.fromJson(Map json_)

Properties

auxiliaryTables List<GooglePrivacyDlpV2AuxiliaryTable>?
Several auxiliary tables can be used in the analysis.
read / write
hashCode int
The hash code for this object.
read-onlyinherited
quasiIds List<GooglePrivacyDlpV2TaggedField>?
Fields considered to be quasi-identifiers.
read / write
regionCode String?
ISO 3166-1 alpha-2 region code to use in the statistical modeling.
read / write
runtimeType Type
A representation of the runtime type of the object.
read-onlyinherited

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a non-existent method or property is accessed.
inherited
toJson() Map<String, dynamic>
toString() String
A string representation of this object.
inherited

Operators

operator ==(Object other) bool
The equality operator.
inherited