[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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