In this case, SGD just means a linear model that is fit using stochastic gradient descent instead of batch gradient methods. If you want to have more control about the combination of model / loss function / optimization algorithm, http://contrib.scikit-learn.org/lightning/ is better oriented for that specific use case. On Mon, Oct 28, 2019 at 2:01 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

Thanks, Federico.  Bulbul Ahmmed Graduate Teaching Assistant | GeologyBaylor University, Waco, TX 76706 On Monday, October 28, 2019, 03:06:15 PM MDT, federico vaggi <vaggi.federico@gmail.com> wrote: In this case, SGD just means a linear model that is fit using stochastic gradient descent instead of batch gradient methods.  If you want to have more control about the combination of model / loss function / optimization algorithm, http://contrib.scikit-learn.org/lightning/ is better oriented for that specific use case. On Mon, Oct 28, 2019 at 2:01 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