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?

View this message in context: 
Sent from the Apache Spark User List mailing list archive at Nabble.com.

To unsubscribe e-mail: user-unsubscr...@spark.apache.org

Reply via email to