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Incorporation of a method within the base class of algorithms(or another suitable place), that would suggest a viable range of privacy budget to use with the data on such errors,
How long?
Anyone with good knowledge of codebase could figure out the specifics and necessary refactoring in appropriately a day or two.
Is your research related to a problem?
The error handling for PyDP currently advises the absence of an appropriate privacy budget, could we come up with something that would suggest a valid range of budget in such cases?
Additional Context
Following are some resources that might be helpful to build upon:
What?
Incorporation of a method within the base class of algorithms(or another suitable place), that would suggest a viable range of privacy budget to use with the data on such errors,
How long?
Anyone with good knowledge of codebase could figure out the specifics and necessary refactoring in appropriately a day or two.
Is your research related to a problem?
The error handling for PyDP currently advises the absence of an appropriate privacy budget, could we come up with something that would suggest a valid range of budget in such cases?
Additional Context
Following are some resources that might be helpful to build upon:
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