[scikit-learn] Does model consider about previous training results after reloading model and then training with new data?
lampahome
pahome.chen at mirlab.org
Fri Feb 1 01:52:52 EST 2019
Sebastian Raschka <mail at sebastianraschka.com> 於 2019年2月1日 週五 下午1:48寫道:
> Hi there,
>
> if you call the "fit" method, the learning will essentially start from
> scratch. So no, it doesn't consider previous training results.
However, certain algorithms are implemented with an additional partial_fit
> method that would consider previous training rounds.
>
So if I want to reach like "continue training", I should choose model with
partial_fit, right?
What I want is regression, but I saw nothing have partial_fit function in
ensemble methods,
Can found in other places?
thx
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