Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::QuasiId (v0.11.0)

Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::QuasiId.

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

#field=

def field=(value) -> ::Google::Cloud::Dlp::V2::FieldId
Parameter
Returns

#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.