Class AnalyzeDataSourceRiskDetails (1.0.0)

Version 1.0.0

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Result of a risk analysis operation request. .. attribute:: requested_privacy_metric

Privacy metric to compute.

Values associated with this metric.

Categorical stats result

L-divesity result

Delta-presence result

Inheritance

builtins.object > google.protobuf.pyext._message.CMessage > builtins.object > google.protobuf.message.Message > AnalyzeDataSourceRiskDetails

Classes

CategoricalStatsResult

Result of the categorical stats computation. .. attribute:: value_frequency_histogram_buckets

Histogram of value frequencies in the column.

DeltaPresenceEstimationResult

Result of the δ-presence computation. Note that these results are an estimation, not exact values. .. attribute:: delta_presence_estimation_histogram

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.

KAnonymityResult

Result of the k-anonymity computation. .. attribute:: equivalence_class_histogram_buckets

Histogram of k-anonymity equivalence classes.

KMapEstimationResult

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

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.

LDiversityResult

Result of the l-diversity computation. .. attribute:: sensitive_value_frequency_histogram_buckets

Histogram of l-diversity equivalence class sensitive value frequencies.

NumericalStatsResult

Result of the numerical stats computation. .. attribute:: min_value

Minimum value appearing in the column.

List of 99 values that partition the set of field values into 100 equal sized buckets.