I wonder if it is possible to pass object weights along with features in Waffles supervised learners (e.g. decision trees) for boosting purposes?
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I wonder if it is possible to pass object weights along with features in Waffles supervised learners (e.g. decision trees) for boosting purposes?
This does not appear to be possible, but you could approximate weights by duplicating rows.