Data Loss Prevention V2 Client - Class DeltaPresenceEstimationQuasiIdValues (1.14.0)

Reference documentation and code samples for the Data Loss Prevention V2 Client class DeltaPresenceEstimationQuasiIdValues.

A tuple of values for the quasi-identifier columns.

Generated from protobuf message google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult.DeltaPresenceEstimationQuasiIdValues

Namespace

Google \ Cloud \ Dlp \ V2 \ AnalyzeDataSourceRiskDetails \ DeltaPresenceEstimationResult

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.

↳ quasi_ids_values array<Google\Cloud\Dlp\V2\Value>

The quasi-identifier values.

↳ estimated_probability float

The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.

getQuasiIdsValues

The quasi-identifier values.

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setQuasiIdsValues

The quasi-identifier values.

Parameter
Name Description
var array<Google\Cloud\Dlp\V2\Value>
Returns
Type Description
$this

getEstimatedProbability

The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values.

For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.

Returns
Type Description
float

setEstimatedProbability

The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values.

For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.

Parameter
Name Description
var float
Returns
Type Description
$this