[scikit-learn] Can we say stochastic gradient descent as an ML model?

[Bulbul Ahmmed]

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 at 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 at 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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