AnalyzeDataSourceRiskDetails(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)Result of a risk analysis operation request. .. attribute:: requested_privacy_metric
Privacy metric to compute.
Attributes | |
|---|---|
| Name | Description |
requested_source_table |
google.cloud.dlp_v2.types.BigQueryTable
Input dataset to compute metrics over. |
numerical_stats_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.NumericalStatsResult
Numerical stats result |
categorical_stats_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.CategoricalStatsResult
Categorical stats result |
k_anonymity_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KAnonymityResult
K-anonymity result |
l_diversity_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.LDiversityResult
L-divesity result |
k_map_estimation_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KMapEstimationResult
K-map result |
delta_presence_estimation_result |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult
Delta-presence result |
requested_options |
google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.RequestedRiskAnalysisOptions
The configuration used for this job. |
Classes
CategoricalStatsResult
CategoricalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)Result of the categorical stats computation. .. attribute:: value_frequency_histogram_buckets
Histogram of value frequencies in the column.
:type: Sequence[google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.CategoricalStatsResult.CategoricalStatsHistogramBucket]
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. .. attribute:: equivalence_class_histogram_buckets
Histogram of k-anonymity equivalence classes.
:type: Sequence[google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KAnonymityResult.KAnonymityHistogramBucket]
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. .. attribute:: sensitive_value_frequency_histogram_buckets
Histogram of l-diversity equivalence class sensitive value frequencies.
:type: Sequence[google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityHistogramBucket]
NumericalStatsResult
NumericalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)Result of the numerical stats computation. .. attribute:: min_value
Minimum value appearing in the column.
RequestedRiskAnalysisOptions
RequestedRiskAnalysisOptions(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)Risk analysis options. .. attribute:: job_config
The job config for the risk job.