Class DeltaPresenceEstimationResult (0.13.0)

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

Inheritance

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

Classes

DeltaPresenceEstimationHistogramBucket

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.

Always greater than or equal to min_probability.

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

DeltaPresenceEstimationQuasiIdValues

A tuple of values for the quasi-identifier columns.

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.