Usage
then_noisy_top_k(lhs, output_measure, k, scale, negate = FALSE)
Arguments
- lhs
The prior transformation or metric space.
- output_measure
One of MaxDivergence or ZeroConcentratedDivergence
- k
Number of indices to select.
- scale
Scale for the noise distribution.
- negate
Set to true to return bottom k