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See documentation for make_select_private_candidate() for details.

Usage

then_select_private_candidate(lhs, measurement, stop_probability, threshold)

Arguments

lhs

The prior transformation or metric space.

measurement

A measurement that releases a 2-tuple of (score, candidate)

stop_probability

The probability of stopping early at any iteration.

threshold

The threshold score. Return immediately if the score is above this threshold.

Value

A measurement that returns a release from measurement whose score is greater than threshold, or none.