Joel Nothman <joel.noth...@gmail.com> 於 2018年12月11日 週二 下午5:56寫道：
> Yes, some can use a shared model to predict multiple outputs (ElasticNet, > DecisionTreeRegressor, MLPRegressor), others can't. Those that can't can be > trivially extended to the multiple output case with MultiOutputRegressor, > by learning each output independently. > > I mean, why those(ElasticNet, DecisionTreeRegressor, MLPRegressor) can predict multiple outputs? What's the theory? thx lot.
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