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The idea is that one can pass a measure as a parameter and the learner then finds the constant prediction that optimizes this metric. If a analytic formula exists it can be used, otherwise we can fall back to calling optimize().
The idea is that one can pass a measure as a parameter and the learner then finds the constant prediction that optimizes this metric. If a analytic formula exists it can be used, otherwise we can fall back to calling
optimize()
.cc @berndbischl
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