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.c...@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? > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
