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See documentation for make_private_quantile() for details.

Usage

then_private_quantile(lhs, candidates, alpha, scale)

Arguments

lhs

The prior transformation or metric space.

candidates

Potential quantiles to score

alpha

a value in \([0, 1]\). Choose 0.5 for median

scale

the scale of the noise added

Value

Measurement