Class: Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/privacy/dlp/v2/dlp.rb

Overview

Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.

Defined Under Namespace

Classes: KMapEstimationHistogramBucket, KMapEstimationQuasiIdValues

Instance Attribute Summary collapse

Instance Attribute Details

#k_map_estimation_histogram ⇒ ::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>

Returns The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

Returns:

  • (::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>) —

    The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.



2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
 
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 2413

class KMapEstimationResult
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # A tuple of values for the quasi-identifier columns.
  # @!attribute [rw] quasi_ids_values
  #   @return [::Array<::Google::Cloud::Dlp::V2::Value>]
  #     The quasi-identifier values.
  # @!attribute [rw] estimated_anonymity
  #   @return [::Integer]
  #     The estimated anonymity for these quasi-identifier values.
  class KMapEstimationQuasiIdValues
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # A KMapEstimationHistogramBucket message with the following values:
  #   min_anonymity: 3
  #   max_anonymity: 5
  #   frequency: 42
  # means that there are 42 records whose quasi-identifier values correspond
  # to 3, 4 or 5 people in the overlying population. An important particular
  # case is when min_anonymity = max_anonymity = 1: the frequency field then
  # corresponds to the number of uniquely identifiable records.
  # @!attribute [rw] min_anonymity
  #   @return [::Integer]
  #     Always positive.
  # @!attribute [rw] max_anonymity
  #   @return [::Integer]
  #     Always greater than or equal to min_anonymity.
  # @!attribute [rw] bucket_size
  #   @return [::Integer]
  #     Number of records within these anonymity bounds.
  # @!attribute [rw] bucket_values
  #   @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationQuasiIdValues>]
  #     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 KMapEstimationHistogramBucket
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end