Class PrivacyMetric.KMapEstimationConfig

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig
All Implemented Interfaces:
PrivacyMetric.KMapEstimationConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
Enclosing class:
PrivacyMetric

public static final class PrivacyMetric.KMapEstimationConfig extends com.google.protobuf.GeneratedMessage implements PrivacyMetric.KMapEstimationConfigOrBuilder
 Reidentifiability metric. This corresponds to a risk model similar to what
 is called "journalist risk" in the literature, except the attack dataset is
 statistically modeled instead of being perfectly known. This can be done
 using publicly available data (like the US Census), or using a custom
 statistical model (indicated as one or several BigQuery tables), or by
 extrapolating from the distribution of values in the input dataset.
 
Protobuf type google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig
See Also: