I think it depends on how non-linear data you have. You could add polynomial to 
your model,..but everything depends on your data. If you could share more 
details maybe a scatter plot, would help to investigate the problem further.

All the best,

> On 18 Oct 2016, at 19:09, aditya1702 <adityavya...@gmail.com> wrote:
> Hello,
> I am trying to solve a problem of Logistic Regression using Spark. I am
> still a newbie to machine learning. I wanted to ask that if I have 2
> features for logistic regression and if the features are non-linear
> (regularized logistic regression) do we have to make more features by
> considering the higher powers of the features?
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