Class: Google::Privacy::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult
- Inherits:
-
Object
- Object
- Google::Privacy::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult
- Defined in:
- lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb
Overview
Result of the δ-presence computation. Note that these results are an estimation, not exact values.
Defined Under Namespace
Classes: DeltaPresenceEstimationHistogramBucket, DeltaPresenceEstimationQuasiIdValues
Instance Attribute Summary collapse
-
#delta_presence_estimation_histogram ⇒ Array<Google::Privacy::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>
The intervals [min_probability, max_probability) do not overlap.
Instance Attribute Details
#delta_presence_estimation_histogram ⇒ Array<Google::Privacy::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>
Returns The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: 0, max_probability: 0.1, frequency: 17 0.2, max_probability: 0.3, frequency: 42 0.3, max_probability: 0.4, frequency: 99 mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
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# File 'lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb', line 1066 class DeltaPresenceEstimationResult # A tuple of values for the quasi-identifier columns. # @!attribute [rw] quasi_ids_values # @return [Array<Google::Privacy::Dlp::V2::Value>] # The quasi-identifier values. # @!attribute [rw] estimated_probability # @return [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. class DeltaPresenceEstimationQuasiIdValues; end # A DeltaPresenceEstimationHistogramBucket message with the following # values: # min_probability: 0.1 # max_probability: 0.2 # frequency: 42 # means that there are 42 records for which δ is in [0.1, 0.2). An # important particular case is when min_probability = max_probability = 1: # then, every individual who shares this quasi-identifier combination is in # the dataset. # @!attribute [rw] min_probability # @return [Float] # Between 0 and 1. # @!attribute [rw] max_probability # @return [Float] # Always greater than or equal to min_probability. # @!attribute [rw] bucket_size # @return [Integer] # Number of records within these probability bounds. # @!attribute [rw] bucket_values # @return [Array<Google::Privacy::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationQuasiIdValues>] # Sample of quasi-identifier tuple values in this bucket. The total # number of classes returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [Integer] # Total number of distinct quasi-identifier tuple values in this bucket. class DeltaPresenceEstimationHistogramBucket; end end |