DeltaPresenceEstimationResult(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)Result of the δ-presence computation. Note that these results are an estimation, not exact values.
Attribute | |
|---|---|
| Name | Description |
delta_presence_estimation_histogram |
Sequence[google.cloud.dlp_v2.types.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. |
Classes
DeltaPresenceEstimationHistogramBucket
DeltaPresenceEstimationHistogramBucket(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)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.
DeltaPresenceEstimationQuasiIdValues
DeltaPresenceEstimationQuasiIdValues(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)A tuple of values for the quasi-identifier columns.