Hi, I would like to compare different implementations of linear regression (and possibly generalised linear regression) in Spark. I was wondering why the functions for linear regression (and GLM) with stochastic gradient descent have been deprecated?
I have found some old posts of people having problems with LinearRegressionSGD and saying that it it slower than L-BFGS but I am not sure what they mean. Shouldn’t SGD be better? Is there any plan to make those functions available again in the new DataFrame-based API? Thank you, Sandy -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
