[scikit-learn] Does model consider about previous training results after reloading model and then training with new data?

[Sebastian Raschka]

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.

Best,
Sebastian

> On Jan 31, 2019, at 11:19 PM, lampahome <pahome.chen at mirlab.org> wrote:
> 
> As title, I'm confused.
> 
> If I reload model and train with new data, what happened?
> 
> 1st train old data -> save model -> reload -> train with new data
> 
> Does the 2nd training will consider about previous training results?
> Or just a new result with new data?
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