PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
Before this PR, it was possible to create AdditiveMechanism (Laplace or Gausisan) only from (eps, delta). This PR implements possibility to create from sttdev. It's needed for using PLD for budget accounting, which will be added in the subsequent PR.
Before this PR, it was possible to create
AdditiveMechanism
(Laplace or Gausisan) only from (eps, delta). This PR implements possibility to create from sttdev. It's needed for using PLD for budget accounting, which will be added in the subsequent PR.