Context
OpenDP is renowned for its robust and comprehensive approach to operationalizing differentially private algorithms. The goal of this migration is to leverage OpenDP's strengths to enhance the functionality and privacy guarantees.
This issue proposes the migration of the following methods to OpenDP.
Context OpenDP is renowned for its robust and comprehensive approach to operationalizing differentially private algorithms. The goal of this migration is to leverage OpenDP's strengths to enhance the functionality and privacy guarantees.
This issue proposes the migration of the following methods to OpenDP.
quantile
Reference links
quantile
:https://github.com/ObliviousAI/ag_sklearn/blob/master/diffprivlib/tools/quantiles.py#L32 OpenDP Docs : https://docs.opendp.org/en/stable/user/index.html