GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucket (google_api_dlp v0.41.0) View Source

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.

Attributes

bucketSize (type: String.t, default: nil) - Number of records within these probability bounds.
bucketValueCount (type: String.t, default: nil) - Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues (type: list(GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValues.t), default: nil) - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxProbability (type: float(), default: nil) - Always greater than or equal to min_probability.
minProbability (type: float(), default: nil) - Between 0 and 1.

Link to this section Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

t()

Specs

t() ::
  %GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucket{
    bucketSize: String.t() | nil,
    bucketValueCount: String.t() | nil,
    bucketValues:
      [
        GoogleApi.DLP.V2.Model.GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValues.t()
      ]
      | nil,
    maxProbability: float() | nil,
    minProbability: float() | nil
  }

Link to this section Functions

decode(value, options)

Specs

decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.