Thank you! I'm really looking forward to that. Best,
Congrui -----Original Message----- From: Xiangrui Meng [mailto:men...@gmail.com] Sent: Monday, June 16, 2014 11:19 AM To: user@spark.apache.org Subject: Re: MLlib-Missing Regularization Parameter and Intercept for Logistic Regression Someone is working on weighted regularization. Stay tuned. -Xiangrui On Mon, Jun 16, 2014 at 9:36 AM, FIXED-TERM Yi Congrui (CR/RTC1.3-NA) <fixed-term.congrui...@us.bosch.com> wrote: > Hi Xiangrui, > > Thank you for the reply! I have tried customizing > LogisticRegressionSGD.optimizer as in the example you mentioned, but the > source code reveals that the intercept is also penalized if one is included, > which is usually inappropriate. The developer should fix this problem. > > Best, > > Congrui > > -----Original Message----- > From: Xiangrui Meng [mailto:men...@gmail.com] > Sent: Friday, June 13, 2014 11:50 PM > To: user@spark.apache.org > Cc: user > Subject: Re: MLlib-Missing Regularization Parameter and Intercept for > Logistic Regression > > 1. > "examples/src/main/scala/org/apache/spark/examples/mllib/BinaryClassification.scala" > contains example code that shows how to set regParam. > > 2. A static method with more than 3 parameters becomes hard to > remember and hard to maintain. Please use LogistricRegressionWithSGD's > default constructor and setters. > > -Xiangrui
