Class AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder>
com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder
All Implemented Interfaces:
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

public static final class AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder extends com.google.protobuf.GeneratedMessage.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder> implements AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder
 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.
 
Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket