Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationQuasiIdValues (v1.3.1)

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

A tuple of values for the quasi-identifier columns.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#estimated_probability

def estimated_probability() -> ::Float
Returns
  • (::Float) — The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.

#estimated_probability=

def estimated_probability=(value) -> ::Float
Parameter
  • value (::Float) — The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
Returns
  • (::Float) — The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.

#quasi_ids_values

def quasi_ids_values() -> ::Array<::Google::Cloud::Dlp::V2::Value>
Returns

#quasi_ids_values=

def quasi_ids_values=(value) -> ::Array<::Google::Cloud::Dlp::V2::Value>
Parameter
Returns