Class AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucket

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucket
All Implemented Interfaces:
AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucketOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
Enclosing class:
AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult

public static final class AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucket extends com.google.protobuf.GeneratedMessage implements AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucketOrBuilder
 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.
 
Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationHistogramBucket
See Also: