See documentation for make_alp_queryable()
for details.
Usage
then_alp_queryable(
lhs,
scale,
total_limit,
value_limit = NULL,
size_factor = 50L,
alpha = 4L,
.CO = NULL
)
Arguments
- lhs
The prior transformation or metric space.
- scale
Privacy loss parameter. This is equal to epsilon/sensitivity.
- total_limit
Either the true value or an upper bound estimate of the sum of all values in the input.
- value_limit
Upper bound on individual values (referred to as β). Entries above β are clamped.
- size_factor
Optional multiplier (default of 50) for setting the size of the projection.
- alpha
Optional parameter (default of 4) for scaling and determining p in randomized response step.
- .CO
undocumented