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.feder...@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_______________________________________________
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