KMapEstimationResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.
Attribute |
|
|---|---|
| Name | Description |
k_map_estimation_histogram |
MutableSequence[google.cloud.dlp_v2.types.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. |
Classes
KMapEstimationHistogramBucket
KMapEstimationHistogramBucket(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)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.
KMapEstimationQuasiIdValues
KMapEstimationQuasiIdValues(mapping=None, *, ignore_unknown_fields=False, **kwargs)A tuple of values for the quasi-identifier columns.