Class: Google::Privacy::Dlp::V2beta1::PrivacyMetric

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/dlp/v2beta1/doc/google/privacy/dlp/v2beta1/dlp.rb

Overview

Privacy metric to compute for reidentification risk analysis.

Defined Under Namespace

Classes: CategoricalStatsConfig, KAnonymityConfig, LDiversityConfig, NumericalStatsConfig

Instance Attribute Summary collapse

Instance Attribute Details

#categorical_stats_config ⇒ Google::Privacy::Dlp::V2beta1::PrivacyMetric::CategoricalStatsConfig

Returns:



504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
 
# File 'lib/google/cloud/dlp/v2beta1/doc/google/privacy/dlp/v2beta1/dlp.rb', line 504

class PrivacyMetric
  # Compute numerical stats over an individual column, including
  # min, max, and quantiles.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute numerical stats on. Supported types are
  #     integer, float, date, datetime, timestamp, time.
  class NumericalStatsConfig; end

  # Compute numerical stats over an individual column, including
  # number of distinct values and value count distribution.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute categorical stats on. All column types are
  #     supported except for arrays and structs. However, it may be more
  #     informative to use NumericalStats when the field type is supported,
  #     depending on the data.
  class CategoricalStatsConfig; end

  # k-anonymity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of fields to compute k-anonymity over. When multiple fields are
  #     specified, they are considered a single composite key. Structs and
  #     repeated data types are not supported; however, nested fields are
  #     supported so long as they are not structs themselves or nested within
  #     a repeated field.
  # @!attribute [rw] entity_id
  #   @return [Google::Privacy::Dlp::V2beta1::EntityId]
  #     Optional message indicating that each distinct +EntityId+ should not
  #     contribute to the k-anonymity count more than once per equivalence class.
  class KAnonymityConfig; end

  # l-diversity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of quasi-identifiers indicating how equivalence classes are
  #     defined for the l-diversity computation. When multiple fields are
  #     specified, they are considered a single composite key.
  # @!attribute [rw] sensitive_attribute
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Sensitive field for computing the l-value.
  class LDiversityConfig; end
end

#k_anonymity_config ⇒ Google::Privacy::Dlp::V2beta1::PrivacyMetric::KAnonymityConfig

Returns:



504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
 
# File 'lib/google/cloud/dlp/v2beta1/doc/google/privacy/dlp/v2beta1/dlp.rb', line 504

class PrivacyMetric
  # Compute numerical stats over an individual column, including
  # min, max, and quantiles.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute numerical stats on. Supported types are
  #     integer, float, date, datetime, timestamp, time.
  class NumericalStatsConfig; end

  # Compute numerical stats over an individual column, including
  # number of distinct values and value count distribution.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute categorical stats on. All column types are
  #     supported except for arrays and structs. However, it may be more
  #     informative to use NumericalStats when the field type is supported,
  #     depending on the data.
  class CategoricalStatsConfig; end

  # k-anonymity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of fields to compute k-anonymity over. When multiple fields are
  #     specified, they are considered a single composite key. Structs and
  #     repeated data types are not supported; however, nested fields are
  #     supported so long as they are not structs themselves or nested within
  #     a repeated field.
  # @!attribute [rw] entity_id
  #   @return [Google::Privacy::Dlp::V2beta1::EntityId]
  #     Optional message indicating that each distinct +EntityId+ should not
  #     contribute to the k-anonymity count more than once per equivalence class.
  class KAnonymityConfig; end

  # l-diversity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of quasi-identifiers indicating how equivalence classes are
  #     defined for the l-diversity computation. When multiple fields are
  #     specified, they are considered a single composite key.
  # @!attribute [rw] sensitive_attribute
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Sensitive field for computing the l-value.
  class LDiversityConfig; end
end

#l_diversity_config ⇒ Google::Privacy::Dlp::V2beta1::PrivacyMetric::LDiversityConfig

Returns:



504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
 
# File 'lib/google/cloud/dlp/v2beta1/doc/google/privacy/dlp/v2beta1/dlp.rb', line 504

class PrivacyMetric
  # Compute numerical stats over an individual column, including
  # min, max, and quantiles.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute numerical stats on. Supported types are
  #     integer, float, date, datetime, timestamp, time.
  class NumericalStatsConfig; end

  # Compute numerical stats over an individual column, including
  # number of distinct values and value count distribution.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute categorical stats on. All column types are
  #     supported except for arrays and structs. However, it may be more
  #     informative to use NumericalStats when the field type is supported,
  #     depending on the data.
  class CategoricalStatsConfig; end

  # k-anonymity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of fields to compute k-anonymity over. When multiple fields are
  #     specified, they are considered a single composite key. Structs and
  #     repeated data types are not supported; however, nested fields are
  #     supported so long as they are not structs themselves or nested within
  #     a repeated field.
  # @!attribute [rw] entity_id
  #   @return [Google::Privacy::Dlp::V2beta1::EntityId]
  #     Optional message indicating that each distinct +EntityId+ should not
  #     contribute to the k-anonymity count more than once per equivalence class.
  class KAnonymityConfig; end

  # l-diversity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of quasi-identifiers indicating how equivalence classes are
  #     defined for the l-diversity computation. When multiple fields are
  #     specified, they are considered a single composite key.
  # @!attribute [rw] sensitive_attribute
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Sensitive field for computing the l-value.
  class LDiversityConfig; end
end

#numerical_stats_config ⇒ Google::Privacy::Dlp::V2beta1::PrivacyMetric::NumericalStatsConfig

Returns:



504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
 
# File 'lib/google/cloud/dlp/v2beta1/doc/google/privacy/dlp/v2beta1/dlp.rb', line 504

class PrivacyMetric
  # Compute numerical stats over an individual column, including
  # min, max, and quantiles.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute numerical stats on. Supported types are
  #     integer, float, date, datetime, timestamp, time.
  class NumericalStatsConfig; end

  # Compute numerical stats over an individual column, including
  # number of distinct values and value count distribution.
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Field to compute categorical stats on. All column types are
  #     supported except for arrays and structs. However, it may be more
  #     informative to use NumericalStats when the field type is supported,
  #     depending on the data.
  class CategoricalStatsConfig; end

  # k-anonymity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of fields to compute k-anonymity over. When multiple fields are
  #     specified, they are considered a single composite key. Structs and
  #     repeated data types are not supported; however, nested fields are
  #     supported so long as they are not structs themselves or nested within
  #     a repeated field.
  # @!attribute [rw] entity_id
  #   @return [Google::Privacy::Dlp::V2beta1::EntityId]
  #     Optional message indicating that each distinct +EntityId+ should not
  #     contribute to the k-anonymity count more than once per equivalence class.
  class KAnonymityConfig; end

  # l-diversity metric, used for analysis of reidentification risk.
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2beta1::FieldId>]
  #     Set of quasi-identifiers indicating how equivalence classes are
  #     defined for the l-diversity computation. When multiple fields are
  #     specified, they are considered a single composite key.
  # @!attribute [rw] sensitive_attribute
  #   @return [Google::Privacy::Dlp::V2beta1::FieldId]
  #     Sensitive field for computing the l-value.
  class LDiversityConfig; end
end