Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField.
A column with a semantic tag attached.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#custom_tag
def custom_tag() -> ::String
Returns
- (::String) — A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
#custom_tag=
def custom_tag=(value) -> ::String
Parameter
- value (::String) — A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Returns
- (::String) — A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
#field
def field() -> ::Google::Cloud::Dlp::V2::FieldId
Returns
- (::Google::Cloud::Dlp::V2::FieldId) — Required. Identifies the column.
#field=
def field=(value) -> ::Google::Cloud::Dlp::V2::FieldId
Parameter
- value (::Google::Cloud::Dlp::V2::FieldId) — Required. Identifies the column.
Returns
- (::Google::Cloud::Dlp::V2::FieldId) — Required. Identifies the column.
#inferred
def inferred() -> ::Google::Protobuf::Empty
Returns
- (::Google::Protobuf::Empty) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
#inferred=
def inferred=(value) -> ::Google::Protobuf::Empty
Parameter
- value (::Google::Protobuf::Empty) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
Returns
- (::Google::Protobuf::Empty) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
#info_type
def info_type() -> ::Google::Cloud::Dlp::V2::InfoType
Returns
- (::Google::Cloud::Dlp::V2::InfoType) — A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
#info_type=
def info_type=(value) -> ::Google::Cloud::Dlp::V2::InfoType
Parameter
- value (::Google::Cloud::Dlp::V2::InfoType) — A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
Returns
- (::Google::Cloud::Dlp::V2::InfoType) — A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.