Class: Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails
- Inherits:
-
Object
- Object
- Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/privacy/dlp/v2/dlp.rb
Overview
Result of a risk analysis operation request.
Defined Under Namespace
Classes: CategoricalStatsResult, DeltaPresenceEstimationResult, KAnonymityResult, KMapEstimationResult, LDiversityResult, NumericalStatsResult, RequestedRiskAnalysisOptions
Instance Attribute Summary collapse
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#categorical_stats_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult
Categorical stats result.
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#delta_presence_estimation_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult
Delta-presence result.
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#k_anonymity_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult
K-anonymity result.
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#k_map_estimation_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult
K-map result.
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#l_diversity_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult
L-divesity result.
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#numerical_stats_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::NumericalStatsResult
Numerical stats result.
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#requested_options ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::RequestedRiskAnalysisOptions
The configuration used for this job.
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#requested_privacy_metric ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric
Privacy metric to compute.
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#requested_source_table ⇒ ::Google::Cloud::Dlp::V2::BigQueryTable
Input dataset to compute metrics over.
Instance Attribute Details
#categorical_stats_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult
Returns Categorical stats result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#delta_presence_estimation_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult
Returns Delta-presence result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#k_anonymity_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult
Returns K-anonymity result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#k_map_estimation_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult
Returns K-map result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#l_diversity_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult
Returns L-divesity result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#numerical_stats_result ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::NumericalStatsResult
Returns Numerical stats result.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#requested_options ⇒ ::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::RequestedRiskAnalysisOptions
Returns The configuration used for this job.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#requested_privacy_metric ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric
Returns Privacy metric to compute.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#requested_source_table ⇒ ::Google::Cloud::Dlp::V2::BigQueryTable
Returns Input dataset to compute metrics over.
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# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1733 class AnalyzeDataSourceRiskDetails include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Result of the numerical stats computation. # @!attribute [rw] min_value # @return [::Google::Cloud::Dlp::V2::Value] # Minimum value appearing in the column. # @!attribute [rw] max_value # @return [::Google::Cloud::Dlp::V2::Value] # Maximum value appearing in the column. # @!attribute [rw] quantile_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # List of 99 values that partition the set of field values into 100 equal # sized buckets. class NumericalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Result of the categorical stats computation. # @!attribute [rw] value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::CategoricalStatsResult::CategoricalStatsHistogramBucket>] # Histogram of value frequencies in the column. class CategoricalStatsResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Histogram of value frequencies in the column. # @!attribute [rw] value_frequency_lower_bound # @return [::Integer] # Lower bound on the value frequency of the values in this bucket. # @!attribute [rw] value_frequency_upper_bound # @return [::Integer] # Upper bound on the value frequency of the values in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of values in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Sample of value frequencies in this bucket. The total number of # values returned per bucket is capped at 20. # @!attribute [rw] bucket_value_count # @return [::Integer] # Total number of distinct values in this bucket. class CategoricalStatsHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the k-anonymity computation. # @!attribute [rw] equivalence_class_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityHistogramBucket>] # Histogram of k-anonymity equivalence classes. class KAnonymityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Set of values defining the equivalence class. One value per # quasi-identifier column in the original KAnonymity metric message. # The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the equivalence class, for example number of rows with the # above set of values. class KAnonymityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of k-anonymity equivalence classes. # @!attribute [rw] equivalence_class_size_lower_bound # @return [::Integer] # Lower bound on the size of the equivalence classes in this bucket. # @!attribute [rw] equivalence_class_size_upper_bound # @return [::Integer] # Upper bound on the size of the equivalence classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KAnonymityResult::KAnonymityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class KAnonymityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the l-diversity computation. # @!attribute [rw] sensitive_value_frequency_histogram_buckets # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityHistogramBucket>] # Histogram of l-diversity equivalence class sensitive value frequencies. class LDiversityResult include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The set of columns' values that share the same ldiversity value. # @!attribute [rw] quasi_ids_values # @return [::Array<::Google::Cloud::Dlp::V2::Value>] # Quasi-identifier values defining the k-anonymity equivalence # class. The order is always the same as the original request. # @!attribute [rw] equivalence_class_size # @return [::Integer] # Size of the k-anonymity equivalence class. # @!attribute [rw] num_distinct_sensitive_values # @return [::Integer] # Number of distinct sensitive values in this equivalence class. # @!attribute [rw] top_sensitive_values # @return [::Array<::Google::Cloud::Dlp::V2::ValueFrequency>] # Estimated frequencies of top sensitive values. class LDiversityEquivalenceClass include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Histogram of l-diversity equivalence class sensitive value frequencies. # @!attribute [rw] sensitive_value_frequency_lower_bound # @return [::Integer] # Lower bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] sensitive_value_frequency_upper_bound # @return [::Integer] # Upper bound on the sensitive value frequencies of the equivalence # classes in this bucket. # @!attribute [rw] bucket_size # @return [::Integer] # Total number of equivalence classes in this bucket. # @!attribute [rw] bucket_values # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::LDiversityResult::LDiversityEquivalenceClass>] # Sample of equivalence classes 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 equivalence classes in this bucket. class LDiversityHistogramBucket include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the reidentifiability analysis. Note that these results are an # estimation, not exact values. # @!attribute [rw] k_map_estimation_histogram # @return [::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. 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 # Result of the δ-presence computation. Note that these results are an # estimation, not exact values. # @!attribute [rw] delta_presence_estimation_histogram # @return [::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket>] # 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: # \\{min_probability: 0, max_probability: 0.1, frequency: 17} # \\{min_probability: 0.2, max_probability: 0.3, frequency: 42} # \\{min_probability: 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. class DeltaPresenceEstimationResult 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_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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Risk analysis options. # @!attribute [rw] job_config # @return [::Google::Cloud::Dlp::V2::RiskAnalysisJobConfig] # The job config for the risk job. class RequestedRiskAnalysisOptions include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |