Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::PrivacyMetric::KAnonymityConfig.
k-anonymity metric, used for analysis of reidentification risk.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#entity_id
def entity_id() -> ::Google::Cloud::Dlp::V2::EntityId
-
(::Google::Cloud::Dlp::V2::EntityId) — Message indicating that multiple rows might be associated to a
single individual. If the same entity_id is associated to multiple
quasi-identifier tuples over distinct rows, we consider the entire
collection of tuples as the composite quasi-identifier. This collection
is a multiset: the order in which the different tuples appear in the
dataset is ignored, but their frequency is taken into account.
Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
#entity_id=
def entity_id=(value) -> ::Google::Cloud::Dlp::V2::EntityId
-
value (::Google::Cloud::Dlp::V2::EntityId) — Message indicating that multiple rows might be associated to a
single individual. If the same entity_id is associated to multiple
quasi-identifier tuples over distinct rows, we consider the entire
collection of tuples as the composite quasi-identifier. This collection
is a multiset: the order in which the different tuples appear in the
dataset is ignored, but their frequency is taken into account.
Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
-
(::Google::Cloud::Dlp::V2::EntityId) — Message indicating that multiple rows might be associated to a
single individual. If the same entity_id is associated to multiple
quasi-identifier tuples over distinct rows, we consider the entire
collection of tuples as the composite quasi-identifier. This collection
is a multiset: the order in which the different tuples appear in the
dataset is ignored, but their frequency is taken into account.
Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
#quasi_ids
def quasi_ids() -> ::Array<::Google::Cloud::Dlp::V2::FieldId>
- (::Array<::Google::Cloud::Dlp::V2::FieldId>) — Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
#quasi_ids=
def quasi_ids=(value) -> ::Array<::Google::Cloud::Dlp::V2::FieldId>
- value (::Array<::Google::Cloud::Dlp::V2::FieldId>) — Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- (::Array<::Google::Cloud::Dlp::V2::FieldId>) — Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.