[scikit-learn] Why some regression algo can predict multiple out?

[lampahome]

Joel Nothman <joel.nothman at 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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