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Expand front ends to support specification of per-observation weights. #10

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@ablaom

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@ablaom

In MLJModelInterface.jl weights appear last, as in (X, y, w) (supervised case) but I'm inclined here to use (X, w, y), so that the target, when present, is always last. This is because the fallback for LearnAPI.target grabs the last element of a tuple.

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