Add a binary selection for constructing compact explainable ML models #26
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heidmic
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In this PR, we propose a selection problem from the domain of evolutionary machine learning. The goal of the optimizer is to select a subset of if-then rules from a larger set so that the subset of rules is able to perform regression tasks well but is also as small as possible. The input of the optimizer is encoded as a binary vector (each bit representing a specific rule).