Google Cloud Data Loss Prevention v2 API - Class AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult (4.14.0)

public sealed class AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult : IMessage<AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult>, IEquatable<AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult>, IDeepCloneable<AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult>, IBufferMessage, IMessage

Reference documentation and code samples for the Google Cloud Data Loss Prevention v2 API class AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult.

Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.

Inheritance

object > AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult

Namespace

Google.Cloud.Dlp.V2

Assembly

Google.Cloud.Dlp.V2.dll

Constructors

KMapEstimationResult()

public KMapEstimationResult()

KMapEstimationResult(KMapEstimationResult)

public KMapEstimationResult(AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult other)
Parameter
Name Description
other AnalyzeDataSourceRiskDetailsTypesKMapEstimationResult

Properties

KMapEstimationHistogram

public RepeatedField<AnalyzeDataSourceRiskDetails.Types.KMapEstimationResult.Types.KMapEstimationHistogramBucket> KMapEstimationHistogram { get; }

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.

Property Value
Type Description
RepeatedFieldAnalyzeDataSourceRiskDetailsTypesKMapEstimationResultTypesKMapEstimationHistogramBucket