Class KMapEstimationResult (1.0.0)

Version 1.0.0

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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.

Inheritance

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

Classes

KMapEstimationHistogramBucket

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:: min_anonymity

Always positive.

Number of records within these anonymity bounds.

Total number of distinct quasi-identifier tuple values in this bucket.

KMapEstimationQuasiIdValues

A tuple of values for the quasi-identifier columns. .. attribute:: quasi_ids_values

The quasi-identifier values.