OpenDP Migration : Variance and Deviation
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shobitnair commented
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.
_std_var
Reference links
_std : https://github.com/ObliviousAI/ag_sklearn/blob/master/diffprivlib/tools/utils.py#L584
_var: https://github.com/ObliviousAI/ag_sklearn/blob/master/diffprivlib/tools/utils.py#L427
OpenDP Docs : https://docs.opendp.org/en/stable/user/index.html