Class Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationHistogramBucket (v0.8.1)

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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.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#bucket_size

def bucket_size() -> ::Integer
Returns
  • (::Integer) — Number of records within these probability bounds.

#bucket_size=

def bucket_size=(value) -> ::Integer
Parameter
  • value (::Integer) — Number of records within these probability bounds.
Returns
  • (::Integer) — Number of records within these probability bounds.

#bucket_value_count

def bucket_value_count() -> ::Integer
Returns
  • (::Integer) — Total number of distinct quasi-identifier tuple values in this bucket.

#bucket_value_count=

def bucket_value_count=(value) -> ::Integer
Parameter
  • value (::Integer) — Total number of distinct quasi-identifier tuple values in this bucket.
Returns
  • (::Integer) — Total number of distinct quasi-identifier tuple values in this bucket.

#bucket_values

def bucket_values() -> ::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationQuasiIdValues>
Returns

#bucket_values=

def bucket_values=(value) -> ::Array<::Google::Cloud::Dlp::V2::AnalyzeDataSourceRiskDetails::DeltaPresenceEstimationResult::DeltaPresenceEstimationQuasiIdValues>
Parameter
Returns

#max_probability

def max_probability() -> ::Float
Returns
  • (::Float) — Always greater than or equal to min_probability.

#max_probability=

def max_probability=(value) -> ::Float
Parameter
  • value (::Float) — Always greater than or equal to min_probability.
Returns
  • (::Float) — Always greater than or equal to min_probability.

#min_probability

def min_probability() -> ::Float
Returns
  • (::Float) — Between 0 and 1.

#min_probability=

def min_probability=(value) -> ::Float
Parameter
  • value (::Float) — Between 0 and 1.
Returns
  • (::Float) — Between 0 and 1.