GooglePrivacyDlpV2KMapEstimationConfig class
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.
getter/setter pair
- hashCode → int
-
The hash code for this object.
no setterinherited
-
quasiIds
↔ List<
GooglePrivacyDlpV2TaggedField> ? -
Fields considered to be quasi-identifiers.
getter/setter pair
- regionCode ↔ String?
-
ISO 3166-1 alpha-2 region code to use in the statistical modeling.
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent 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