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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