Hi Bulbul, I would rather say SGD is a method for optimizing the objective function of certain ML models, or optimize the loss function of certain ML models / learn the parameters of certain ML models.
Best, Sebastian > On Oct 28, 2019, at 4:00 PM, Bulbul Ahmmed via scikit-learn > <scikit-learn@python.org> wrote: > > Dear Scikit Learn Community! > > Scikit learn puts stochastic gradient descent (SGD) as an ML model under the > umbrella of linear model. I know SGD is an optimization algorithm. My > question is: can we say SGD is an ML model? Thanks, > > Best Regards, > Bulbul > _______________________________________________ > 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
