Updated setup.py and selection.learning.learners.py
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…lways return prob = 1.0 if all perturbation results in selection event = 1.0
jonathan-taylor
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(1).
setup.pyis updated to includeselection.learning.(2). Previously, if all perturbations result in selection = True, sklearn's gradient boosting would throw an exception. Updated changed
selection.learning.learnersto return a constant function (return prob = 1.0 for all input) if all perturbations result in selection = True.