Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult (v1.9.1)

Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult.

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

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#k_map_estimation_histogram

defk_map_estimation_histogram()->::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>

Returns

(::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>) — 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.

#k_map_estimation_histogram=

defk_map_estimation_histogram=(value)->::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>

Parameter

value (::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::KMapEstimationResult::KMapEstimationHistogramBucket>) — 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.