[scikit-learn] Can we say stochastic gradient descent as an ML model?
Sebastian Raschka
mail at sebastianraschka.com
Mon Oct 28 17:07:28 EDT 2019
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 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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