Hi All, I'm new to Spark and currently exploring around the ML package mllib. Two questions about LogisticRegressionWithSGD in MLlib classification package. 1. I have checked the source code on github and found that the class LogisticRegressionWithSGD has "regParam" as its private argument. I cannot access it directly since it is private. Also, the 4 "train" methods in the companion object all uses regParam = 0.0. Why aren't users allowed to use nonzero regParam like in SVM? Is it because the feature has not been implemented yet?
2. As shown in the documentation, the class extends from GeneralizedLinearAlgorithm which has a method "setIntercept" but again this is not an argument in the train methods of the companion object LogisticRegressionWithSGD. Shouldn't the users be allowed to choose whether they want an intercept since the feature is already there? Thank you! Sincerely, Congrui Yi -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-Missing-Regularization-Parameter-and-Intercept-for-Logistic-Regression-tp7588.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
