AnalyzeDataSourceRiskDetails(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)
Result of a risk analysis operation request.
Attributes
Name | Description |
requested_privacy_metric |
`.dlp.PrivacyMetric`
Privacy metric to compute. |
requested_source_table |
`.storage.BigQueryTable`
Input dataset to compute metrics over. |
numerical_stats_result |
`.dlp.AnalyzeDataSourceRiskDetails.NumericalStatsResult`
Numerical stats result |
categorical_stats_result |
`.dlp.AnalyzeDataSourceRiskDetails.CategoricalStatsResult`
Categorical stats result |
k_anonymity_result |
`.dlp.AnalyzeDataSourceRiskDetails.KAnonymityResult`
K-anonymity result |
l_diversity_result |
`.dlp.AnalyzeDataSourceRiskDetails.LDiversityResult`
L-divesity result |
k_map_estimation_result |
`.dlp.AnalyzeDataSourceRiskDetails.KMapEstimationResult`
K-map result |
delta_presence_estimation_result |
`.dlp.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult`
Delta-presence result |
Inheritance
builtins.object > proto.message.Message > AnalyzeDataSourceRiskDetailsClasses
CategoricalStatsResult
CategoricalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Result of the categorical stats computation.
DeltaPresenceEstimationResult
DeltaPresenceEstimationResult(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)
Result of the δ-presence computation. Note that these results are an estimation, not exact values.
KAnonymityResult
KAnonymityResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Result of the k-anonymity computation.
KMapEstimationResult
KMapEstimationResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.
LDiversityResult
LDiversityResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Result of the l-diversity computation.
NumericalStatsResult
NumericalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Result of the numerical stats computation.