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
def k_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=
def k_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.
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.