Class AnalyzeDataSourceRiskDetails (0.15.1)
Stay organized with collections
Save and categorize content based on your preferences.
Result of a risk analysis operation request.
Input dataset to compute metrics over.
Numerical stats result
K-anonymity result
K-map result
Inheritance
builtins.object
>
google.protobuf.pyext._message.CMessage
>
builtins.object
>
google.protobuf.message.Message
>
AnalyzeDataSourceRiskDetails
Classes
CategoricalStatsResult
Result of the categorical stats computation.
DeltaPresenceEstimationResult
Result of the δ-presence computation. Note that these
results are an estimation, not exact values.
KAnonymityResult
Result of the k-anonymity computation.
KMapEstimationResult
Result of the reidentifiability analysis. Note that these
results are an estimation, not exact values.
LDiversityResult
Result of the l-diversity computation.
NumericalStatsResult
Result of the numerical stats computation.
Maximum value appearing in the column.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-03-16 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
